AGRICULTURE, FORESTRY AND FISHING INDUSTRIES 2014 JANUARY 2016 Published in December by the Fiji Bureau of Statistics P.O. Box 2221 Government Buildings Suva Republic of Fiji Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division i Reproduction of Material Any table or material published in this report may be reproduced and published without the Fiji Bureau of Statistics’ prior approval. However, the source of information should always be identified and acknowledged in all modes of presentation. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division ii Key title: A Study of the Agriculture, Forestry and Fishing Industries … (Fiji Bureau of Statistics) Abbreviated key title: Agri, Forest and Fish. ind. (Fiji Bur.Stat.) © Fiji Bureau of Statistics Printer: Enquiries: Fiji Bureau of Statistics Ratu Sukuna House MacArthur Street Suva Fiji P O Box 2221 Government Buildings Suva Fiji Telephone: Fax No.: E-mail: Website: Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division iii [679] 331 5822 [679] 330 3656 [email protected] www.statsfiji.gov.fj PREFACE The report presents findings from the Agriculture, Forestry and Fishing Industries study of 2014. The study was carried out to gather information required for the compilation of macroeconomic aggregates such as Gross Output, Intermediate Consumption, Compensation of Employees, Consumption of Fixed Capital, Operating Surplus and Value Added. The Value Added figure gives us the net output of goods and services produced by the above mentioned industries which determines their contribution to Fiji’s economy. Knowledge about these macroeconomic aggregates is important because they are indicators or main signposts signaling current trends in these industries. Those interested in the Agriculture, Forestry and Fishing Industries will find the report useful as it will allow them to study, analyze, and understand the major variables that determine current trends. Findings from the report can also be used to identify areas needing improvement. Information contained in this report will be used to build up a system of national accounts which allows us to construct a quantitative image of Fiji’s economic system. This study would not have been possible without the assistance of a good number of helpful individuals and organizations. Their effort is much appreciated and I look forward to their continued support in the future. Epeli Waqavonovono [Mr] Government Statistician Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division iv ACKNOWLEDGEMENT Department of Agriculture: Mrs. Sera Bose Ms. Sainiana Kirisitiana Ms Inise Naivalu Agriculture technical officers Mrs. Bikashni Prasad Department of Fisheries & Forestry: Mrs. Olivia Vakaloloma Mr.. Epironi Turaganivalu Mr. Manueli Cakautabu Ms. Leilani Kotobalavu Ms. Pranishma Kumar Mrs. Sanjana Lal All farmers and establishments. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division v NOTES TO THE REPORT 1 The interpretation of the symbols used in this report is as follows: 0 nil return or a figure less than half the given value r revised p provisional N/A Not Available 2 Total values are subject to rounding errors. 3 Key to Abbreviations: Abbreviation Terms CFC COE EP&S FBoS FSIC FSC GFCF GO IC MFE OS SNA VA Consumption of Fixed Capital Compensation of Employees Economic Planning and Statistics Fiji Bureau of Statistics Fiji Standard Industrial Classification Fiji Sugar Corporation Gross Fixed Capital Formation Gross Output Intermediate Consumption Milk Fat Equivalent Operating Surplus System of National Accounts Value Added 4 VA in the report refers to Gross Value Added 5 Wages do not include an imputation for family help. This labour compensation appears under operating surplus. 6 A lot of farmers engage in mixed farming together with the main crop e.g. farming of vegetables together with taro, which is the main crop. In such a case the activities of the farmer will be covered under taro which is assigned FSIC 01131. 7 The Macroeconomic aggregates (GO, IC, VA, COE, CFC and OS) of the commodities are expressed in Fiji Dollars. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division vi CONTENTS Page No 1 INTRODUCTION 1.1 1.2 1.3 History of Study Need for statistics relating to Agriculture, Forestry and Fishing Peculiar features of the Agriculture, Forestry and Fishing industries 1 1 2 2 METHODOLOGY 2.1 2.2 2.3 Legal Basis Reference Period Classification and Standard Used 2 2 3 3 Results 3 4 Detailed discussion by activities within the Agriculture, Forestry and Fishing industries 10 LIST OF TABLES Summary Tables Table A: Macroeconomic Aggregates ($) Table B: .Value Added 2013 and 2014 ($) and Percentage Change 4 8 LIST OF GRAPHS Graph 1: Agriculture, Forestry and Fishing Value Added Graph 2 :The drivers of Value Added in Agriculture 9 9 Agriculture Table 1: Growing of cereals (except rice) leguminous crops and oil seeds Table 2: Growing of rice Table 3: Growing of taro Table 4: Growing of cassava Table 5: Growing of yam Table 6: Growing of kumala Table 7: Growing of vegetables and melons, root and tubers not elsewhere specified Table 8: Growing of sugar cane Table 9: Growing of tobacco Table 10: Growing of banana Table 11: Growing of pineapples Table 12: Growing of mangoes Table 13: Growing of papayas Table 14: Growing of noni Table 15: Growing of watermelon Table 16: Growing of citrus fruits Table 17: Growing of other trees and bush fruits and nuts Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division vii 10 11 11 12 12 13 14 15 16 16 17 17 18 18 19 19 20 Contents Continued… Table 18: Growing of oleaginous fruits Table 19: Growing of cocoa Table 20: Growing of ginger Table 21: Growing of yaqona Table 22: Growing of vanilla Table 23: Growing of spices, aromatic, drug and pharmaceutical crops not elsewhere specified Table 24: Plant Propagation Table 25: Beef cattle farming Table 26: Dairy cattle farming Table 27: Sheep farming Table 28: Goat farming Table 29: Pig farming Table 30: Poultry farming Table 31: Production of egg Table 32: Bee-keeping 20 21 22 23 23 24 24 25 26 26 27 27 28 28 29 Forestry Table 33: Forestry and logging Table 34: Gathering of non-wood forest products 30 31 Fishing Table 35: Fishing on a commercial basis Table 36: Taking of marine or freshwater crustaceans and molluscs Table 37: Beach-de-mer diving Table 38: Gathering of other marine organism and materials Table 39: Marine aquaculture Table 40: Freshwater aquaculture 32 33 33 34 34 35 LIST OF APPENDICES Appendix I: Concepts and Definitions Appendix II: Industrial Classification Used Appendix III: Sample Questionnaire Appendix IV: Primary Production: Selected Agricultural Products Appendix V: Sugar Industry Production and producer prices Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division viii 36 38 51 56 57 1 INTRODUCTION 1.1 History of studies undertaken This report contains the results of the 2014 study on the Agriculture, Forestry and Fishing industries taking place in Fiji together with other relevant information on the industry. It was an ad hoc study and now conducted by the Fiji Bureau of Statistics (FBoS) annually because of the need by its National Accountants to re-base the constant price Gross Domestic Product (GDP) for Agriculture, Forestry and Fishing Industries. A brief description of similar studies done in the past is given below in chronological order: 1989 The purpose of conducting a study for 1989 was to determine the benchmark levels for the Agriculture, Forestry and Fishing industries in the rebasing of the constant price GDP from 1977 to 1989. The results of the study are contained in the report titled “A Study of Agriculture, Forestry and Fishing Sector for the compilation of the 1989 Gross Domestic Product.” 1995 The 1995 study was also conducted to determine the benchmark levels for the Agriculture, Forestry and Fishing industries in the rebasing of the constant price GDP, but this time, from 1989 to 1995. The results of the study are contained in the report titled “1995 Gross Domestic Product Sources and Methods”. 2002 The 2002 study of the Agriculture, Forestry and Fishing industries was conducted for the rebasing of the constant price GDP from 1995 to 2002. The outcomes of the study are contained in the report titled “A Study of the Agriculture, Forestry and Fishing Sector 2002”. 2008 Another study of the Agriculture, Forestry and Fishing industries was conducted in 2008, for the rebasing of the constant price GDP from 2002 to 2008. The outcomes of the study are contained in the report titled “A Study of the Agriculture, Forestry and Fishing Industries 2008”. 2011 Another study of the Agriculture, Forestry and Fishing industries was conducted in 2011, for the rebasing of the constant price GDP from 2008 to 2011. The outcomes of the study are contained in the report titled “A Study of the Agriculture, Forestry and Fishing Industries 2011”. From 2011 the survey has been conducted annually. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 1 1.2 Need for statistics relating to Agriculture, Forestry and Fishing Agriculture, Forestry and Fishing activities are widely scattered in the country and the economic function they perform in channeling the flow of goods from the producer to the consumer is of great importance. These industries account for a substantial proportion of the total economic activity, whether in terms of the sector to the GDP or in terms of its share of total employment and Gross Fixed Capital Formation (GFCF). Statistics on Agriculture, Forestry and Fishing are needed for the preparation of national accounts so that a meaningful study of the whole economy can be made. The data can also be used to construct the input-output table that shows the inter-connection of the Agriculture, Forestry and Fishing industries with other industries. Policy makers too require the data for formulating sound economic and social policies that augment capital formation. In addition, the entities engaged in the Agriculture, Forestry and Fishing industries find the data helpful. 1.3 Peculiar features of the Agriculture, Forestry and Fishing industry Despite difficulties faced due to the peculiar features of the sector, great care was taken whilst conducting the study. Nevertheless, it is possible that some omission or double-counting may have occurred, but not that large to be able to affect the overall results in any significant way. The peculiar features of the industries are: The industries are highly sensitive to weather. Droughts, floods and hurricanes are natural disasters that have great impact on the industries. Period of production is relatively long in some cases, for example, trees take years to mature so therefore the forestry sector can experience high intermediate costs in some years, but suddenly a very high value added in a particular year. Activities are carried out by a wide variety of units, e.g. o small and large business units. Due to the different size of business units engaged e.g. small and large farms in the growing of coconuts, caution has to be exercised in calculating the input ratios as they have an impact on the macroeconomic aggregates, o own account individuals. It has to be ascertained that they are not producing for own consumption only, and o other units whose main activities are in other industries. The need to include them in the study, if market activity is involved. Sub-leasing of farms is prevalent e.g. in the case of sugarcane – there is a probability that some work may have been double counted (if the co-tenant’s work is not deducted from the main tenant, and also picked up for the co-tenant) or sometimes not counted at all (if the cotenant’s work is correctly deducted from the main tenant, but not picked up for the co-tenant). Many small establishments go in and out of business with changing economic and seasonal factors. Most small business units do not maintain proper records, so careful estimates are calculated. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 2 2 METHODOLOGY 2.1 Legal Basis The study was conducted under the provisions of the Statistics Act (Cap 71). This Act stipulates the collection of data, as well as protects the confidentiality of the information submitted. 2.2 Reference Period The study conducted was for the calendar year 2014. If the accounting year differed from the calendar year, information was provided for the accounting year that covered the major part of the calendar year 2014. 2.3 Classification and Standard Used • • The Fiji Standard Industrial Classification (FSIC) 2010 has been used for classifying industries and commodities. The Macroeconomic Aggregates obtained are based on the 2008 System of National Accounts (SNA). The coverage and scope of each activity and the survey procedures used are discussed in detail under Detailed Discussion by commodities produced in the Agriculture, Forestry and Fishing industries. 3 RESULTS All data contained in this report are in Fiji Dollars Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 3 and in current prices. 3.1 Macroeconomic Aggregates Table A: Macroeconomic Aggregates ($) DIVIS -ION FSIC 2010 GROUP CLASS DESCRIPTION 01 011 0111 01111 0112 01121 01121 0113 01131 01132 01133 01134 01139 0114 01141 0115 01151 012 0122 01221 01222 01223 01224 01225 01226 0123 01231 0125 01251 0126 GO IC VA COE CFC OS 999,648,832 457,912,229 541,736,603 101,851,323 38,461,114 401,424,167 788,193,889 416,285,210 352,767,337 152,788,183 435,426,552 263,497,027 79,023,983 47,610,367 27,399,950 14,453,975 329,002,620 201,432,685 4,093,200 1,252,519 2,840,681 176,008 0 2,664,673 4,093,200 1,252,519 2,840,681 176,008 0 2,664,673 5,133,000 5,133,000 240,425,200 94,122,000 62,176,800 5,474,000 4,290,500 2,304,717 2,304,717 81,690,041 30,683,772 18,528,686 1,401,344 1,257,117 2,828,283 2,828,283 158,735,159 63,438,228 43,648,114 4,072,656 3,033,383 477,369 477,369 37,736,657 20,047,986 10,321,349 355,810 467,665 0 0 594,895 0 0 0 0 2,350,914 2,350,914 120,403,607 43,390,242 33,326,765 3,716,846 2,565,718 74,361,900 163,048,000 163,048,000 3,585,810 3,585,810 177,458,600 25,953,400 7,533,000 6,538,000 59,000 6,932,400 375,000 4,516,000 186,000 186,000 724,500 724,500 15,391,800 29,819,122 65,382,248 65,382,248 2,158,658 2,158,658 73,196,554 6,300,706 934,092 2,144,464 11,741 2,093,585 37,500 1,079,324 85,560 85,560 167,360 167,360 3,832,558 44,542,778 97,665,752 97,665,752 1,427,152 1,427,152 104,262,046 19,652,694 6,598,908 4,393,536 47,259 4,838,815 337,500 3,436,676 100,440 100,440 557,140 557,140 11,559,242 6,543,847 9,130,688 9,130,688 89,645 89,645 13,644,691 996,601 75,330 254,982 7,080 325,823 12,750 320,636 7,626 7,626 34,051 34,051 2,077,893 594,895 13,859,080 13,859,080 0 0 1,686,732 0 0 0 0 0 0 0 0 0 0 0 523,321 37,404,036 74,675,984 74,675,984 1,337,507 1,337,507 88,930,623 18,656,093 6,523,578 4,138,554 40,179 4,512,992 324,750 3,116,040 92,814 92,814 523,089 523,089 8,958,028 SUBCLASS TOTAL AGRICULTURE, FORESTRY AND FISHING CROP AND ANIMAL PRODUCTION, HUNTING AND RELATED SERVICE ACTIVITIES Growing of non-perennial crops Growing of cereals (except rice)leguminous crops and oil seeds Growing of cereals (except rice)leguminous crops and oil seeds Growing of rice Growing of rice Growing of vegetables and melons, roots and tubers Growing of taro Growing of cassava Growing of yam Growing of kumala Growing of vegetables and melons, roots and tubers not elsewhere specified Growing of sugar cane Growing of sugar cane Growing and curing of tobacco Growing and curing of tobacco Growing of perennial crops Growing of tropical and subtropical fruits Growing of bananas Growing of pineapples Growing of mangoes Growing of papayas Growing of noni Growing of Watermelon Growing of citrus fruits Growing of citrus fruits Growing of other tree and bush fruits and nuts Growing of other tree and bush fruits and nuts Growing of oleaginous fruits Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 4 DIVIS -ION FSIC 2010 GROUP CLASS DESCRIPTION SUBCLASS 01261 0127 01271 0128 01281 01282 01283 01289 0130 01301 014 0141 01411 01412 0144 01441 01442 0145 01451 0146 01461 01462 0149 01491 02 021/ 022/ 023 0210/ 0220/ 0230 02101 02102 02103 02201 02301 03 031 GO Growing of oleaginous fruits Growing of Beverage crops Growing of cocoa Growing of spices, aromatic, drug and pharmaceutical crops Growing of ginger Growing of yaqona Growing of vanilla Growing of spices, aromatic, drug and pharmaceutical crops n.e.c Plant propagation Plant propagation Animal production Raising of cattle and buffaloes Raising and breeding of cattle and buffaloes Production of raw cow milk from cows or buffalo Raising of sheep and goats Raising and breeding of sheep Raising of goats Raising of swine/pigs Raising of swine/pigs Raising of poultry Raising and breeding of poultry Production of eggs Raising of other animals Bee-keeping FORESTRY AND LOGGING Native forest Pine Mahogany Logging Gathering of non-wood forest products FISHING AND AQUACULTURE Fishing 0311/ 0312 03111 03121 Marine Fishing on a commercial basis Freshwater fishing on a commercial basis VA COE CFC OS 15,391,800 37,500 37,500 3,832,558 12,525 12,525 11,559,242 24,975 24,975 2,077,893 8,025 8,025 523,321 0 0 8,958,028 16,950 16,950 135,073,900 6,135,900 128,420,000 210,000 62,754,382 2,975,912 59,586,880 28,350 72,319,518 3,159,988 68,833,120 181,650 10,497,437 914,249 9,503,080 10,500 1,159,476 0 1,155,780 0 60,662,605 2,245,739 58,174,260 171,150 308,000 91,500 91,500 194,450,079 28,289,796 12,893,500 15,396,296 1,332,000 492,000 840,000 8,474,500 8,474,500 152,953,783 123,070,674 29,883,109 3,400,000 3,400,000 163,240 43,463 43,463 126,782,600 11,754,749 4,641,660 7,113,089 526,836 262,236 264,600 4,677,924 4,677,924 108,973,091 85,903,331 23,069,760 850,000 850,000 144,760 48,037 48,037 67,667,479 16,535,047 8,251,840 8,283,207 805,164 229,764 575,400 3,796,576 3,796,576 43,980,692 37,167,343 6,813,349 2,550,000 2,550,000 69,608 23,058 23,058 17,768,925 3,016,874 683,356 2,333,518 47,868 14,268 33,600 694,909 694,909 13,567,274 11,445,573 2,121,701 442,000 442,000 3,696 3,935 3,935 11,259,243 776,240 502,847 273,393 31,824 10,824 21,000 203,388 203,388 10,196,791 7,507,311 2,689,480 51,000 51,000 71,456 21,044 21,044 38,639,312 12,741,934 7,065,637 5,676,297 725,472 204,672 520,800 2,898,279 2,898,279 20,216,627 18,214,459 2,002,168 2,057,000 2,057,000 77,849,042 33,430,213 44,418,829 11,872,218 6,397,253 26,149,358 77,075,342 33,142,397 43,932,945 11,792,527 6,397,253 25,743,165 773,700 133,605,901 287,816 71,714,679 485,884 61,891,222 79,691 10,955,122 0 4,663,911 406,193 46,272,189 126,963,400 68,805,229 58,158,171 10,464,837 4,587,423 43,105,911 91,078,200 59,291,908 31,786,292 7,195,178 3,643,128 20,947,986 Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 5 IC DIVIS -ION FSIC 2010 GROUP CLASS DESCRIPTION SUBCLASS 03112 03122 03114 03115 03124 032 GO Taking of marine crustaceans and molluscs Taking of freshwater crustaceans and molluscs Beach-de-mer Gathering of other marine organism and materials Gathering of freshwater materials 03211 Marine aquaculture 0322 03222 Freshwater aquaculture VA COE CFC OS 10,735,200 4,337,021 6,398,179 1,009,109 257,645 5,131,425 5,850,000 1,509,300 4,340,700 427,050 146,250 3,767,400 19,300,000 3,667,000 15,633,000 1,833,500 540,400 13,259,100 6,642,501 2,909,450 3,733,051 490,285 76,488 3,166,278 6,462,501 180,000 2,817,650 91,800 3,644,851 88,200 478,225 12,060 71,088 5,400 3,095,538 70,740 Aquaculture 0321 IC 3.2 Value Added, Percentage Change & Per cent Contribution 2013 and 2014 Table B: Value Added 2013 and 2014 FSIC 2010 DIVIS -ION GROUP CLASS DESCRIPTION SUBCLASS TOTAL AGRICULTURE, FORESTRY AND FISHING CROP AND ANIMAL PRODUCTION, HUNTING AND RELATED SERVICE ACTIVITIES 01 011 Growing of non-perennial crops Growing of cereals (except rice)leguminous crops and oil seeds 0111 01111 0112 01121 0113 01131 01132 01133 01134 01139 0114 01141 0115 01151 Growing of cereals (except rice)leguminous crops and oil seeds Growing of rice Growing of rice Growing of vegetables and melons, roots and tubers Growing of taro Growing of cassava Growing of yam Growing of kumala Growing of vegetables and melons, roots and tubers not elsewhere specified Growing of sugar cane Growing of sugar cane Growing and curing of tobacco Growing and curing of tobacco Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 6 Percent Contribution 2013 2014 2013 VA $ 515,430,356 2014 VA $ 541,736,603 Percentage Change 5.10 100.00 100.00 411,856,076 250,639,135 435,426,552 263,497,027 5.72 5.13 79.91 48.63 80.38 48.64 1,656,223 2,840,681 71.52 0.32 0.53 1,656,223 2,619,594 2,619,594 170,291,326 82,385,580 41,336,275 5,232,264 3,025,284 2,840,681 2,828,283 2,828,283 158,735,159 63,438,228 43,648,114 4,072,656 3,033,383 71.52 7.97 7.97 -6.79 -23.00 5.59 -22.16 0.27 0.32 0.51 0.51 33.04 15.98 8.02 1.02 0.59 0.53 0.53 0.53 29.85 11.93 8.21 0.77 0.57 38,311,638 74,780,475 74,780,475 1,291,802 1,291,802 44,542,778 97,665,752 97,665,752 1,427,152 1,427,152 16.26 30.60 30.60 10.48 10.48 7.43 14.51 14.51 0.25 0.25 8.37 18.03 18.03 0.26 0.26 FSIC 2010 DIVIS ION GROUP CLASS DESCRIPTION Growing of perennial crops Growing of tropical and subtropical fruits Growing of bananas Growing of pineapples Growing of mangoes Growing of papayas Growing of noni Growing of watermelon Growing of citrus fruits Growing of citrus fruits Growing of other tree and bush fruits and nuts Growing of other tree and bush fruits and nuts Growing of oleaginous fruits Growing of oleaginous fruits Growing of Beverage crops Growing of cocoa Growing of spices, aromatic, drug and pharmaceutical crops Growing of ginger 2014 VA $ 104,262,046 19,652,694 6,598,908 4,393,536 47,259 4,838,815 337,500 3,436,676 100,440 100,440 557,140 557,140 11,559,242 11,559,242 24,975 24,975 72,319,518 3,159,988 Percentage Change 4.48 22.25 40.44 8.14 -60.75 32.20 -2.34 7.78 809.37 809.37 29.97 29.97 -8.58 -8.58 -43.58 -43.58 2.47 6.17 Growing of yaqona Growing of vanilla 67,263,450 78,897 68,833,120 181,650 Growing of spices, aromatic, drug and pharmaceutical crops n.e.c Plant propagation Plant propagation Animal production Raising of cattle and buffaloes Raising and breeding of cattle and buffaloes Production of raw cow milk from cows or buffalo Raising of sheep and goats Raising and breeding of sheep Raising of goats Raising of swine/pigs Raising of swine/pigs Raising of poultry Raising and breeding of poultry Production of eggs Raising of other animals 255,000 14,982 14,982 61,423,396 13,365,876 6,984,761 6,381,115 1,518,270 628,320 889,950 4,558,400 4,558,400 40,085,694 34,290,224 5,784,426 1,906,200 1,906,200 SUBCLASS 012 0122 01221 01222 01223 01224 01225 01226 0123 01231 0125 01251 0126 01261 0127 01271 0128 01281 01282 01283 01289 0130 01301 014 0141 01411 01412 0144 01441 01442 0145 01451 0146 01461 01462 0149 01491 Percent Contribution 2013 VA $ 99,793,546 16,076,298 4,698,876 4,062,784 120,393 3,660,086 345,582 3,188,577 11,045 11,045 428,652 428,652 12,644,482 12,644,482 44,266 44,266 70,573,820 2,976,473 Bee-keeping Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 7 2013 2014 19.36 3.12 0.91 0.79 0.02 0.71 0.07 0.62 0.00 0.00 0.08 0.08 2.45 2.45 0.01 0.01 13.69 0.58 19.25 3.70 1.24 0.83 0.01 0.91 0.06 0.65 0.02 0.02 0.10 0.10 2.17 2.17 0.00 0.00 13.60 0.59 2.33 130.24 13.05 0.02 12.94 0.03 144,760 48,037 48,037 67,667,479 16,535,047 8,251,840 8,283,207 805,164 229,764 575,400 3,796,576 3,796,576 3,796,576 43,980,692 37,167,343 2,550,000 -43.23 220.61 220.61 10.17 23.71 18.14 29.81 -46.97 -63.43 -35.34 -16.71 -16.71 -16.71 9.75 8.39 33.77 0.05 0.003 0.003 11.92 2.59 1.36 1.24 0.29 0.09 0.17 0.88 0.88 0.88 7.78 6.65 0.37 0.03 0.01 0.01 12.72 3.11 1.55 1.56 0.15 0.04 0.11 0.69 0.69 0.71 8.27 6.99 0.47 2,550,000 33.77 0.37 0.47 FSIC 2010 DIVIS ION 02 GROUP CLASS 021/ 022/ 023 0210/ 0220/ 0230 DESCRIPTION 2013 VA $ SUBCLASS 2014 VA $ Percent Contribution Percentage Change 2013 2014 FORESTRY AND LOGGING 02101 Native forest 02102 Pine 02103 Mahogany 02201 Logging 02301 03 Gathering of non-wood forest products 28,440,207 44,418,829 56.18 5.52 8.20 28,081,550 43,932,945 56.45 5.45 8.18 358,657 485,884 35.47 0.07 0.09 75,134,073 61,891,222 -17.62 14.58 11.44 67,991,553 58,158,171 -14.46 13.19 10.75 28,967,125 31,786,292 9.73 5.62 5.87 FISHING AND AQUACULTURE 031 0311/ 0312 Fishing 03111 Marine Fishing on a commercial basis 03121 03112 Freshwater fishing on a commercial basis Taking of marine crustaceans and molluscs 03122 03114 Taking of freshwater crustaceans and molluscs 6,158,848 6,398,179 3.95 1.19 1.19 Beach-de-mer Gathering of other marine organism and materials 17,755,080 4,340,700 -75.55 3.44 0.81 03124 Gathering of freshwater materials Aquaculture 15,110,500 15,633,000 3.46 2.93 2.89 7,142,520 3,733,051 -47.73 1.39 0.69 03211 Marine aquaculture 6,156,510 3,644,851 -40.80 1.19 0.68 03222 Freshwater aquaculture 986,010 88,200 -91.05 0.19 0.02 03115 032 0321/ 0322 Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 8 Graph 1: Agriculture, Forestry and Fishing Value Added (VA) VA when graphed for the Agriculture, Forestry and the Fishing industries shows an increase from 2011 to 2012, followed by an increase from 2012 to 2013 and again an increase for 2014. Of the agriculture, forestry and fishing industries, it is the VA of agriculture that is driving the overall increase. The primary sector is dominated by agriculture, the VA of which comprised of 80.4 per cent of the total agriculture, forestry and the fishing industries in 2014, 79.9 per cent in 2013, 76.4 per cent in 2012 and 74.3 per cent in 2011. Graph 2: The drivers of Value Added in Agriculture Industry The agriculture industry VA drives the entire primary sector VA. Graph 2 shows an increase in value added of the agriculture industry for the year 2014, driven by few of the commodities of which are sugarcane and animal products. The value added of sugarcane and yaqona products which comprised of 38.2 per cent of the total agriculture industry in 2014, 34.6 per cent in 2013, 35.6 per cent in 2012 and 39.5 per cent in 2011. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 9 4. Detailed discussion by commodities produced in the Agriculture, Forestry and Fishing industries Division 01: Crop and Animal Production, Hunting And Related Service Activities 1. Sub-Class 01111: Growing of cereals (except rice), leguminous crops and oil seeds 2013 Aggregates Expressed as % of GO 2014 Aggregates Expressed as % of GO Production in tonnes: Maize 813 976 Cowpea 131 39 Pulses 2,523 3,574 Price per tonne: Maize 500 500 Cowpea 1,000 800 Pulses 800 1,000 Macroeconomic Aggregates 2,555,890 GO 4,093,200 899,673 35.2 30.6 1,252,519 IC 1,656,217 64.8 69.4 2,840,681 VA 138,018 5.4 4.3 176,008 COE CFC 1,518,199 59.4 65.1 2,664,673 OS (Production and producer price of the commodity were sourced from Department of Agriculture) Percentage Change 60.1 39.2 71.5 27.5 75.5 The gross output of cereals (except rice), leguminous crops and oil seeds recorded a growth of 60.1 percent compared to 2013. The growth was driven by increase in price and the quantity produced. An increase of 71.5 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 10 2. Sub-Class 01121: Growing of rice Aggregates Expressed as % of GO 2013 Production in tonnes: Rewa Rice (10% of Production) MPI Rice (90% of Production) Price per tonne: Rewa Rice MPI Rice Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO 2014 628.0 5,654.0 684.0 6,160.0 750 750 750 750 4,711,500 2,091,906 2,619,594 452,304 2,167,290 5,133,000 2,304,717 2,828,283 477,369 2,350,914 44.4 55.6 9.6 46.0 44.9 55.1 9.3 45.8 Percentage Change 9.0 10.2 8.0 5.5 8.5 (Production and producer price of the commodity were sourced from Department of Agriculture) The gross output of rice recorded a growth of 9.0. percent compared to 2013. The growth was driven by increase in the quantity produced. An increase of 8.0 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. 3. Sub-Class 01131: Growing of taro 2013 Aggregates Expressed as % of GO 2014 Aggregates Expressed as % of GO Production in tonnes: 133,310 62,748 Taro Price per tonne: 1,000 1,500 Taro Macroeconomic Aggregates 133,310,000 94,122,000 GO 50,924,420 38.2 32.6 30,683,772 IC 82,385,580 61.8 67.4 63,438,228 VA 30,128,060 22.6 21.3 20,047,986 COE CFC 52,257,520 39.2 46.1 43,390,242 OS (Production and producer price of the commodity were sourced from Department of Agriculture) Percentage Change -29.4 -39.7 -23.0 -33.5 -17.0 The gross output of taro recorded a decline of 29.4 percent compared to 2013. The decline was driven by decrease in the quantity produced. A decrease of 23.0 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 11 4. Sub-Class 01132: Growing of cassava 2013 Aggregates Expressed as % of GO Aggregates Expressed as % of GO 2014 Production in tonnes: 74,239 77,721 Cassava Price per tonnes 800 800 Cassava Macroeconomic Aggregates 59,391,200 62,176,800 GO 18,054,925 30.4 29.8 18,528,686 IC 41,336,275 69.6 70.2 43,648,114 VA 9,977,722 16.8 16.6 10,321,349 COE CFC 31,358,553 52.8 53.6 33,326,765 OS (Production and producer price of the commodity were sourced from Department of Agriculture) Percentage Change 4.7 2.6 5.6 3.4 6.3 The gross output of cassava recorded a growth of 4.7 percent compared to 2013. The growth was driven by the increase in the quantity produced. A growth of 5.6 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. 5. Sub-Class 01133: Growing of yam 2013 Production in tonnes: Yam Price per tonne: Yam Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO Aggregates Expressed as % of GO 2014 4,976 5,474 1,500 1,000 7,464,000 2,231,736 5,232,264 507,552 4,724,712 29.9 70.1 6.8 63.3 5,474,000 1,401,344 4,072,656 355,810 3,716,846 25.6 74.4 6.5 67.9 Percentage Change -26.7 -37.2 -22.2 -29.9 -21.3 (Production and producer price of the commodity were sourced from Department of Agriculture) The gross output of yam recorded a decline of 26.7 per cent compared to 2013. The decline was driven by decrease in the price. A decrease of 22.2 per cent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 12 6. Sub-Class 01134: Growing of kumala Aggregates Expressed as % of GO 2013 Production in tonnes: Kumala Price per tonne: Kumala Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO 2014 8,546 8,581 500 500 4,273,000 1,247,716 3,025,284 465,757 2,559,527 4,290,500 1,257,117 3,033,383 467,665 2,565,718 29.2 70.8 10.9 59.9 29.3 70.7 10.9 59.8 Percentage Change 0.4 0.8 0.3 0.4 0.2 (Production and producer price of the commodity were sourced from Department of Agriculture) The gross output of kumala recorded a growth of 0.4 percent compared to 2013. The growth was driven by increase in quantity produced. An increase of 0.3 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 13 7. Sub-Class 01139: Growing of vegetables and melons, roots and tubers n.e.c Aggregates Expressed as % of GO 2013 Production in tonnes: Assorted Vegetables Tomato Egg plant Dalo ni Tana Kawai Via Breadfruit Vudi Tivoli Capsicum Price per tonne: Assorted Vegetables Tomato Egg plant Dalo ni Tana Kawai Via Breadfruit Vudi Tivoli Capsicum Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO 2014 22,801 5,888 35 176 635 40 738 1,887 1,284 40 24,358 242 1,268 3,596 571 44 1,289 5,566 1,528 44 2,500 1,000 700 800 1,000 1,000 500 800 1,000 8,000 2,500 1,500 1,200 800 1,000 1,000 500 1,000 1,000 8,000 67,213,400 28,901,762 38,311,638 6,183,633 537,707 31,590,298 43.0 57.0 9.2 0.8 47.0 74,361,900 29,819,122 44,542,778 6,543,847 594,895 37,404,036 40.1 59.9 8.8 0.8 50.3 Percentage Change 10.6 3.2 16.3 5.8 10.6 18.4 (Production and producer price of the commodity were sourced from Department of Agriculture) The gross output of vegetables, and melons, roots and tubers n.e.c recorded a growth of 10.6 percent compared to 2013. The growth was driven by increase in the quantity produced. A notable growth of 16.3 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 14 8. Sub-Class 01141: Growing of sugarcane Aggregates Expressed as % of GO 2013 Production in tonnes: Sugarcane Price per tonne: Sugarcane Macroeconomic Aggregates GO Aggregates Expressed as % of GO 2014 1,610,000 1,832,000 83 89 133,825,000 163,048,000 58,044,525 74,780,475 8,102,325 12,485,550 54,192,600 IC VA COE CFC OS 43.7 56.3 6.1 9.4 40.8 65,382,248 97,665,752 9,130,688 13,859,080 74,675,984 Percentage Change 40.1 21.8 12.6 59.9 5.6 8.5 45.8 30.6 12.7 11.0 37.8 (Production and producer price of the commodity were sourced from Fiji Sugar Corporation (FSC)) Season No. of Registered Growers No. of Active Growers Area Harvest (hectares) 2013 2014 14,804 16,237 12,632 14,665 38,000 38,000 % change 9.7 16.1 0.0 Sugarcane is mostly grown on the Western side of Viti Levu and on Vanua Levu. Production is seasonal and starts around June-July and ends in December every year. Sometimes the season spills over to January of the next year, but the production is not significant. This study is based on the financial year data i.e. year ended 31 March 2015 which reflects the season 2014. The 2014 season data is slightly different to the calendar year data that is required for the study. The reason for not using the calendar year data is that except production data no other data required for the study were available on a calendar year basis. Use of 2014 season data gives the best estimates for the calendar year 2014. Data on total sugarcane production and the prices paid to the growers have been obtained from the Fiji Sugar Corporation (FSC). There was a growth in Total Active Growers of 16.1 per cent in 2014 compared to 2013. This is due to the increase in the number of growers. Refer table above. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. A notable growth of 30.6 per cent was noted in the value added when compared to 2013. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 15 9. Sub-Class 01151: Growing and curing of tobacco Aggregates Expressed as % of GO 2013 Production in Hectares: Land Area Cultivated Price per tonne: Average price paid to farmers Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO 2014 240 267 13,490 13,430 3,237,600 1,945,798 1,291,802 80,940 1,210,862 3,585,810 2,158,658 1,427,152 89,645 1,337,507 60.1 39.9 2.5 37.4 60.2 39.8 2.5 37.3 Percentage Change 10.8 10.9 10.5 10.8 10.5 (Production and producer price of the commodity were sourced from British American Tobacco) The gross output of tobacco recorded a growth 10.8 percent compared to 2013. The growth was driven by increase in the quantity produced of tobacco. A growth of 10.5 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. 10. Sub-Class 01221: Growing of bananas 2013 Production in tonnes: Banana Price per tonne: Banana Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO Aggregates Expressed as % of GO 2014 4,634 5,022 1,200 1,500 5,560,800 861,924 4,698,876 66,730 4,632,146 7,533,000 934,092 6,598,908 75,330 6,523,578 15.5 84.5 1.2 83.3 12.4 87.6 1.0 86.6 Percentage Change 35.5 8.4 40.4 12.9 40.8 (Production and producer price of the commodity were sourced from Department of Agriculture) The gross output of banana recorded a growth of 35.5 percent compared to 2013. The growth was driven by increase in price and quantity produced. A growth of 40.4 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 16 11. Sub-Class 01222: Growing of pineapples 2013 Production in tonnes Pineapple Price per tonne: Pineapple Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO Aggregates Expressed as % of GO 2014 5,771 6,538 1,000 1,000 5,771,000 1,708,216 4,062,784 248,153 3,814,631 6,538,000 2,144,464 4,393,536 254,982 4,138,554 29.6 70.4 4.3 66.1 32.8 67.2 3.9 63.3 Percentage Change 13.3 25.5 8.1 2.8 8.5 (Production and producer price of the commodity were sourced from Department of Agriculture) The gross output of pineapple recorded a growth of 13.3 percent compared to 2013. The growth was driven by increase in the quantity produced. An increase of 8.1 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. 12. Sub-Class 01223: Growing of mangoes 2013 Aggregates Expressed as % of GO 2014 Aggregates Expressed as % of GO Production in tonnes: 147 Mangoes 59 Price per tonne: 1,000 Mangoes 1,000 Macroeconomic Aggregates 147,000 GO 59,000 26,607 18.1 19.9 11,741 IC 120,393 81.9 80.1 VA 47,259 11,025 7.5 12.0 COE 7,080 CFC 109,368 74.4 68.1 OS 40,179 (Production and producer price of the commodity were sourced from Department of Agriculture) Percentage Change -59.9 -55.9 -60.7 -35.8 -63.3 The gross output of mangoes recorded a decline of 59.9 percent compared to 2013. The decrease was driven by decline in the quantity produced. A decline of 60.7 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 17 13. Sub-Class 01224: Growing of papayas 2013 Aggregates Expressed as % of GO 2014 Aggregates Expressed as % of GO Production in tonnes: 2,777 5,777 Papaya Price per tonne: 2,000 1,200 Papaya Macroeconomic Aggregates 5,554,000 6,932,400 GO 1,893,914 34.1 30.2 2,093,585 IC 3,660,086 65.9 69.8 4,838,815 VA 283,254 5.1 4.7 325,823 COE CFC 3,376,832 60.8 65.1 4,512,992 OS (Production and producer price of the commodity were sourced from Department of Agriculture) Percentage Change 24.8 10.5 32.2 15.0 33.6 The gross output of papayas recorded a growth of 24.8 per cent compared to 2013. The growth was driven by increase in quantity produced. An increase of 32.2 per cent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. 14. Sub-Class 01225: Growing of noni 2013 Aggregates Expressed as % of GO 2014 Aggregates Expressed as % of GO Production in tonnes: 789 750 Noni Price per tonne: 500 500 Noni Macroeconomic Aggregates 394,500 375,000 GO 48,918 12.4 10.0 37,500 IC 345,582 87.6 90.0 337,500 VA 16,175 4.1 3.4 12,750 COE CFC 329,407 83.5 86.6 324,750 OS (Production and producer price of the commodity were sourced from Department of Agriculture) Percentage Change -5.0 -23.4 -2.3 -21.2 -1.4 The gross output of noni recorded a decline of 5.0 percent compared to 2013. The decrease was driven by decline in the quantity produced. A decline of 2.3 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 18 15. Sub-Class 01226: Growing of watermelon 2013 Aggregates Expressed as % of GO 2014 Aggregates Expressed as % of GO Production in tonnes: 4,179 4,516 Watermelon Price per tonne: 1,000 1,000 Watermelon Macroeconomic Aggregates 4,179,000 4,516,000 GO 990,423 23.7 23.9 1,079,324 IC 3,188,577 76.3 76.1 3,436,676 VA 296,709 7.1 7.1 320,636 COE CFC 2,891,868 69.2 69.0 3,116,040 OS (Production and producer price of the commodity were sourced from Department of Agriculture) Percentage Change 8.1 9.0 7.8 8.1 7.8 The gross output of watermelon recorded a growth of 8.1 percent compared to 2013. The growth was driven by increase in the quantity produced. A growth of 7.8 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. 16. Sub-Class 01231: Growing of citrus fruits 2013 Aggregates Expressed as % of GO 2014 Aggregates Expressed as % of GO Production in tonnes: 31 Citrus 1,240 Price per tonne: 700 150 Citrus Macroeconomic Aggregates 21,700 186,000 GO 10,655 49.1 46.0 85,560 IC 11,045 50.9 54.0 100,440 VA 1,237 5.7 4.1 7,626 COE CFC 9,808 45.2 49.9 92,814 OS (Production and producer price of the commodity were sourced from Department of Agriculture) Percentage Change 757.1 703.0 809.4 516.5 846.3 The gross output of citrus recorded a growth of 757.1 percent compared to 2013. The growth was driven by increase in the quantity produced. A notable improvement of 809.4 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 19 17. Sub-Class 01251: Growing of other tree and bush fruits and nuts Aggregates Expressed as % of GO 2013 Production in tonnes: Peanut Price per tonne: Peanut Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO 2014 126 161 4,500 4,500 567,000 138,348 428,652 26,649 402,003 724,500 167,360 557,140 34,051 523,089 24.4 75.6 4.7 70.9 23.1 76.9 4.7 72.2 Percentage Change 27.8 21.0 30.0 27.8 30.1 (Production and producer price of the commodity were sourced from Department of Agriculture) The gross output of other tree and bush fruits and nuts recorded a growth of 27.8 percent compared to 2013. The growth was driven by increase in the quantity produced. A notable growth of 30.0 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. 18. Sub-Class 01261: Growing of oleaginous fruits Aggregates Expressed as % of GO 2013 Production in tonnes: Coconuts Price per tonne: Millgate buying price Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO 2014 24,258 18,108 750 850 18,193,500 5,549,018 12,644,482 2,474,316 636,773 9,533,393 30.5 69.5 13.6 3.5 52.4 15,391,800 3,832,558 11,559,242 2,077,893 523,321 8,958,028 24.9 75.1 13.5 3.4 58.2 Percentage Change -15.4 -30.9 -8.6 -16.0 -17.8 -6.0 (Production and producer price of the commodity were sourced from Department of Agriculture) The gross output of oleaginous fruits recorded a decline of 15.4 percent compared to 2013. The decline was driven by the decrease in the quantity produced. A notable decline of 8.6 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 20 19. Sub-Class 01271: Growing of cocoa Aggregates Expressed as % of GO 2013 Aggregates Expressed as % of GO 2014 Percentage Change Production in tonnes: Cocoa Grade 1 (80% of total Production) 20.00 7.00 Cocoa Grade 2 (20% of total Production) 3.00 3.00 Price per tonne: 3,000 4,500 Cocoa Grade 1 1,200 2,000 Cocoa Grade 2 Macroeconomic Aggregates 63,600 37,500 GO 19,334 30.4 33.4 12,525 IC 44,266 69.6 66.6 24,975 VA 11,702 18.4 21.4 8,025 COE CFC 32,564 51.2 45.2 16,950 OS (Production and producer price of the commodity were sourced from Department of Agriculture) -41.0 -35.2 -43.6 -31.4 -47.9 The gross output of cocoa recorded a decline of 41.0 percent compared to 2013. The decrease was driven by the decline in the quantity produce of cocoa. A decline of 43.6 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 21 20. Sub-Class 01281: Growing of ginger Aggregates Expressed as % of GO 2013 Production in tonnes: Mature Ginger Immature Ginger Price per tonne: Mature Ginger Immature Ginger Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO 2014 4,639 1,269 3,610 1,943 900 1,300 1,000 1,300 5,824,800 2,848,327 2,976,473 862,070 2,114,403 48.9 51.1 14.8 36.3 6,135,900 2,975,912 3,159,988 914,249 2,245,739 Percentage Change 5.3 4.5 6.2 6.1 6.2 48.5 51.5 14.9 36.6 (Production and producer price of the commodity were sourced from Department of Agriculture) Composite Ratio Weight Mature: Average 21.5 Immature: Average 78.5 2014 Composite Ratios 2013 Composite Ratios Absolute Change IC 50.1 10.8 48.1 37.8 48.5 48.9 -0.4 VA COE [expressed as percentages of GO] 49.9 8.4 10.7 1.8 51.9 16.7 40.8 13.1 51.5 14.9 51.1 14.8 0.4 0.1 CFC OS 0.0 0.0 0.0 0.0 0.0 0.0 0.0 41.5 8.9 35.2 27.6 36.5 36.3 0.2 The gross output of ginger recorded a growth of 5.3 percent compared to 2013. The growth was driven by increase in the price and quantity produced. A notable increase of 6.2 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of mature and immature ginger farmers, and then a weighted average was used for this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 22 21. Sub-Class 01282: Growing of yaqona 2013 Production in tonnes: Waka Lewena Price per tonne: Waka Lewena Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO Aggregates Expressed as % of GO 2014 2,613 1,119 2,458 1,413 35,000 30,000 35,000 30,000 125,025,000 57,761,550 67,263,450 9,376,875 1,125,225 56,761,350 46.2 53.8 7.5 0.9 45.4 128,420,000 59,586,880 68,833,120 9,503,080 1,155,780 58,174,260 46.4 53.6 7.4 0.9 45.3 Percentage Change 2.7 3.2 2.3 1.3 2.7 2.5 (Production and producer price of the commodity were sourced from Department of Agriculture) The gross output of yaqona recorded a growth of 2.7 percent compared to 2013. The growth was driven by increase in the quantity produced. An increase of 2.3 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. 22. Sub-Class 01283: Growing of vanilla 2013 Aggregates Expressed as % of GO 2014 Aggregates Expressed as % of GO Production in tonnes: 1.3 3.00 Vanilla Price per tonne: 70,000 70,000 Vanilla Macroeconomic Aggregates 91,000 210,000 GO 12,103 13.3 13.5 28,350 IC 78,897 86.7 86.5 181,650 VA 8,372 9.2 5.0 10,500 COE CFC 70,525 77.5 81.5 171,150 OS (Production and producer price of the commodity were sourced from Department of Agriculture) Percentage Change 130.8 134.2 130.2 25.4 142.7 The gross output of vanilla recorded a growth of 130.8 percent compared to 2013. The growth was driven by increase in quantity produced. A notable increase of 130.2 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 23 23. Sub-Class 01289: Growing of spices, aromatic, drug and pharmaceutical crops n.e.c. Aggregates Expressed as % of GO 2013 Production in tonnes: Chillies Price per tonne: Chillies Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO 2014 200 77 2,500 4,000 500,000 245,000 255,000 101,000 5,500 148,500 308,000 163,240 144,760 69,608 3,696 71,456 49.0 51.0 20.2 1.1 29.7 53.0 47.0 22.6 1.2 23.2 Percentage Change -38.4 -33.4 -43.2 -31.1 -32.8 -51.9 (Production and producer price of the commodity were sourced from Department of Agriculture) The gross output of spices, aromatic, drug and pharmaceutical crops n.e.c recorded a decline of 38.4 per cent compared to 2013. The decline was driven by decrease in the quantity produced. A decline of 43.2 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. 24. Sub-Class 01301: Plant Propagation 2013 Aggregates Expressed as % of GO 2014 Aggregates Expressed as % of GO Production in tonnes: 13 61 Floriculture Price per tonne: 2,500 1,500 Floriculture Macroeconomic Aggregates 32,500 91,500 GO 17,518 53.9 47.5 43,463 IC 14,982 46.1 52.5 48,037 VA 7,995 24.6 25.2 23,058 COE 1,365 4.2 4.3 3,935 CFC 5,622 17.3 23.0 21,044 OS (Production and producer price of the commodity were sourced from Department of Agriculture) Percentage Change 181.5 148.1 220.6 188.4 188.3 274.3 The gross output of plant propagation recorded a growth of 181.5 percent compared to 2013. The growth was driven by increase in the quantity produced. A notable increase of 220.6 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 24 25. Sub-Class 01411: Raising and breeding of cattle and buffaloes Aggregates Expressed as % of GO 2013 Production in tonnes (Dressed weight): Bulls Working bullocks Steers Cows Heifers Calves Price per tonne(Dressed Weight): Bulls Working bullocks Steers Cows Heifers Calves Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO 2014 666 458 690 338 92 28 780 550 420 689 280 81 5,000 4,000 4,500 4,800 5,000 5,500 4,800 4,000 4,500 5,000 4,800 5,000 10,503,400 3,518,639 6,984,761 588,190 472,653 5,923,918 12,893,500 4,641,660 8,251,840 683,356 502,847 7,065,637 33.5 66.5 5.6 4.5 56.4 36.0 64.0 5.3 3.9 54.8 Percentage Change 22.8 31.9 18.1 16.2 6.4 19.3 (Production and producer price of the commodity were sourced from Department of Agriculture) The gross output of cattle and buffaloes recorded a growth of 22.8 percent compared to 2013. The growth was driven by increase in the quantity produced. An increase of 18.1 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 25 26. Sub-Class 01412: Production of raw cow milk from cows or buffaloes Aggregates Expressed as % of GO 2013 Production : RCDC Milk Supply to Factory (Litres) Non-RCDCMilk Supply to Town (Litres) Cream (Kg) Price : Milk Supply to Factory (Litres) Milk Supply to Town (Litres) Cream (Kg) Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO 2014 9,434,100 2,601,326 - 11,156,737 3,718,912 - 0.78 2.00 - 0.78 1.80 - 12,561,250 6,180,135 6,381,115 1,997,239 213,541 4,170,335 49.2 50.8 15.9 1.7 33.2 15,396,296 7,113,089 8,283,207 2,333,518 273,393 5,676,297 46.2 53.8 15.2 1.8 36.9 Percentage Change 22.6 15.1 29.8 16.8 28.0 36.1 (Production and producer price of the commodity were sourced from Department of Agriculture) The gross output of raw cow milk recorded a growth of 22.6 percent compared to 2013. The growth was driven by increase quantity produced. A growth of 29.8 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. 27. Sub-Class 01441: Raising and breeding of sheep 2013 Aggregates Expressed as % of GO 2014 Aggregates Expressed as % of GO Production in tonnes: 154 Sheep 41 Price per tonne (Dressed Weight): 8,000 Sheep 12,000 Macroeconomic Aggregates 1,232,000 GO 492,000 603,680 46.9 53.3 IC 262,236 628,320 53.1 46.7 VA 229,764 33,264 2.8 2.9 COE 14,268 25,872 3.1 2.2 CFC 10,824 569,184 47.1 41.6 OS 204,672 (Production and producer price of the commodity were sourced from Department of Agriculture) Percentage Change -60.1 -56.6 -63.4 -57.1 -58.2 -64.0 The gross output of sheep recorded a decline of 60.1 percent compared to 2013. The decline was driven by decrease in the quantity produced. A decline of 63.4 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 26 28. Sub-Class 01442: Raising of goats 2013 Aggregates Expressed as % of GO 2014 Aggregates Expressed as % of GO Production in tonnes: 150 105 Goat Price per tonne (Dressed Weight): 8,500 8,000 Goat Macroeconomic Aggregates 1,275,000 840,000 GO 385,050 30.2 31.5 264,600 IC 889,950 69.8 68.5 575,400 VA 48,450 3.8 4.0 33,600 COE 30,600 2.4 2.5 21,000 CFC 810,900 63.6 62.0 520,800 OS (Production and producer price of the commodity were sourced from Department of Agriculture) Percentage Change -34.1 -31.3 -35.3 -30.7 -31.4 -35.8 The gross output of goats recorded a decline of 34.1 percent compared to 2013. The decline was driven by decrease in the price and quantity produced. A decline of 35.3 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. 29. Sub-Class 01451: Raising of swine/pigs 2013 Aggregates Expressed as % of GO 2014 Aggregates Expressed as % of GO Production in tonnes: 1,540 997 Pig Price per tonne (Dressed Weight): 10,000 8,500 Pig Macroeconomic Aggregates 15,400,000 8,474,500 GO 10,841,600 70.4 55.2 4,677,924 IC 4,558,400 29.6 44.8 3,796,576 VA 985,600 6.4 8.2 694,909 COE 277,200 1.8 2.4 203,388 CFC 3,295,600 21.4 34.2 2,898,279 OS (Production and producer price of the commodity were sourced from Department of Agriculture) Percentage Change -45.0 -56.9 -16.7 -29.5 -26.6 -12.1 The gross output of swine/pigs recorded a decline of 45.0 percent compared to 2013. The decline was driven by decrease in the price and quantity produced. A decline of 16.7 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 27 30. Sub-Class 01461: Raising and breeding of poultry 2013 Production in tonnes: Poultry Price per tonne : Poultry Less Cull Hens ($ value) Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO Aggregates Expressed as % of GO 2014 17,076 18,231 7,000 880,706 6,800 900,126 118,651,294 84,361,070 34,290,224 10,678,617 7,000,426 16,611,181 71.1 28.9 9.0 5.9 14.0 123,070,674 85,903,331 37,167,343 11,445,573 7,507,311 18,214,459 69.8 30.2 9.3 6.1 14.8 Percentage Change 3.7 1.8 8.4 7.2 7.2 9.7 (Production and producer price of the commodity were sourced from Department of Agriculture) The gross output of poultry recorded a growth of 3.7 percent compared to 2013. The growth was driven by increase in the quantity produced. An improvement of 8.4 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Note: Cull hen – Egg-laying hen; the primary activity of these hens is to lay eggs. After they finish laying eggs they are sold off. Whatever amount is received from their sales is taken as income from sale of cull hens under egg. A counter adjustment is made under poultry. 31. Sub-Class 01462: Production of eggs 2013 Production in Dozen: Egg Price per Dozen: Egg Add Cull Hens ($ value) Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO 2014 6,719,000 9,994,132 3.8 880,706 2.9 900,126 26,412,906 20,628,480 5,784,426 1,848,903 2,377,162 1,558,361 78.1 21.9 7.0 9.0 5.9 29,883,109 23,069,760 6,813,349 2,121,701 2,689,480 2,002,168 Aggregates Expressed as % of GO 77.2 22.8 7.1 9.0 6.7 Percentage Change 13.1 11.8 17.8 14.8 13.1 28.5 (Production and producer price of the commodity were sourced from Department of Agriculture) The gross output of poultry recorded an increase of 13.1 percent compared to 2013. The growth was driven by increase in the price and quantity produced and the value of cull hens. An increase of 17.8 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 28 32. Sub-Class 01491: Bee-keeping 2013 Aggregates Expressed as % of GO 2014 Aggregates Expressed as % of GO Production in tonnes: 180 340 Honey Price per tonne: 15,000 10,000 Honey Macroeconomic Aggregates 2,700,000 3,400,000 GO 793,800 29.4 25.0 850,000 IC 1,906,200 70.6 75.0 2,550,000 VA 342,900 12.7 13.0 442,000 COE 48,600 1.8 1.5 51,000 CFC 1,514,700 56.1 60.5 2,057,000 OS (Production and producer price of the commodity were sourced from Department of Agriculture) Percentage Change 25.9 7.1 33.8 28.9 4.9 35.8 The gross output of bee-keeping recorded a growth of 25.9 percent compared to 2014. The growth was driven by increase in quantity. An increase of 33.8 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 29 Division 02: Forestry and Logging 33. Sub-Class 02101: Native Forest 02102: Pine 02103: Mahogany 02201: Logging Aggregates Expressed as % of GO 2013 Production in cu.m: Native Softwood Hardwood Sandalwood Price per cu.m: Native Softwood Hardwood Sandalwood Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO 2014 38,052 391,480 62,245 - 46,774 692,464 58,437 8,971 270 75 185 160 250 78 170 160 51,150,365 23,068,815 28,081,550 7,621,404 3,989,728 16,470,418 77,075,342 33,142,397 43,932,945 11,792,527 6,397,253 25,743,165 45.1 54.9 14.9 7.8 32.2 Percentage Change 50.7 43.7 56.4 54.7 60.3 56.3 43.0 57.0 15.3 8.3 33.4 (Production and producer price of the commodity were sourced from Department of Forestry) Composite Ratio WEIGHT Indigenous Exotic 2014 Composite ratios 2013 Composite ratios Absolute Change IC 34.9 29.0 71.0 10.1 46.3 32.9 43.0 45.1 VA COE [expressed as percentages of GO] 65.1 21.3 18.8 53.7 38.2 57.0 54.9 6.2 12.8 9.1 15.3 14.9 OS CFC 12.5 31.3 3.6 6.6 4.7 8.3 7.8 9.1 34.3 24.4 33.4 32.2 The gross output of forestry and logging recorded a growth of 50.7 percent compared to 2013. The growth was driven by increase in price and the quantity produced. An increase of 56.4 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of indigenous and exotic farmers, and then a weighted average was used for this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 30 34. Sub-Class 02301: Gathering of non-wood forest products Aggregates Expressed as % of GO 2013 Production in tonnes: Voivoi Masi Price per tonne: Voivoi Masi Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO 2014 533 54 626 15 1,000 1,000 1,200 1,500 587,000 228,343 358,657 72,201 286,456 38.9 61.1 12.3 48.8 773,700 287,816 485,884 79,691 406,193 37.2 62.8 10.3 52.5 Percentage Change 31.8 26.0 35.5 10.4 0.0 41.8 (Production and producer price of the commodity were sourced from Department of Agriculture) The gross output of non-wood forest products recorded an increase of 31.8 percent compared to 2013. The growth was driven by increase in the price and quantity produced. An increase of 35.5 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 31 Division 03: Fishing and Aquaculture 35. Sub-Class 03111: Marine fishing on a commercial basis 03121: Freshwater fishing on a commercial basis Aggregates Expressed as % of GO 2013 2014 Aggregates Expressed as % of GO Percentage Change Production in MT: 5,702 6,702 Albacore 662 1,560 Big Eye 1,289 3,558 Yellowfin 1,149 1,667 By-Catch 4,504 1,597 Inshore Fin Fish Price per MT: 5,500 5,700 Albacore 5,310 5,860 Big Eye 5,860 5,900 Yellowfin 5,000 5,500 By-Catch 8,000 8,500 Inshore Fin Fish Macroeconomic Aggregates 84,206,760 91,078,200 GO 55,239,635 65.6 65.1 59,291,908 IC 28,967,125 34.4 34.9 31,786,292 VA 6,568,127 7.8 7.9 7,195,178 COE 3,199,857 3.8 4.0 3,643,128 CFC 19,199,141 22.8 23.0 20,947,986 OS (Production and producer price of the commodity were sourced from Department of Fisheries) 8.2 7.3 9.7 9.5 13.9 9.1 Composite Ratio WEIGHT Large scale: Average ratio 75.7 Small scale: Average ratio 24.3 2013 Composite ratio 2012 Composite ratio Absolute Change 100.0 IC 60.5 45.9 79.5 19.3 65.1 65.6 -0.5 VA COE [expressed as percentages of GO] 39.5 8.7 29.9 6.6 20.5 5.2 5.0 1.3 34.9 7.9 34.4 7.8 0.5 0.1 OS CFC 4.7 3.5 2.1 0.5 4.0 3.8 0.2 26.1 19.7 13.3 3.2 23.0 22.8 0.2 The gross output of marine and freshwater fishing recorded a growth of 8.2 percent compared to 2013. The growth was driven by increase in the price and quantity produced. An increase of 9.7 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of farmers by FBoS have been used to calculate the input ratios of large scale and small scale fishing companies, and then a weighted average was used for this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 32 36. Sub-Classes 03112: Taking of marine crustaceans and molluscs 03122: Taking freshwater crustaceans and molluscs 2013 Aggregates Expressed as % of GO 2014 Aggregates Expressed as % of GO Production in MT: 2,580 2,485 Inshore Non-Fin Price per MT : 4,200 4,320 Inshore Non-Fin Macroeconomic Aggregates 10,836,000 10,735,200 GO 4,681,152 43.2 40.4 4,337,021 IC 6,154,848 56.8 59.6 6,398,179 VA 1,213,632 11.2 9.4 1,009,109 COE 249,228 2.3 2.4 257,645 CFC 4,691,988 43.3 47.8 5,131,425 OS (Production and producer price of the commodity were sourced from Department of Fisheries) Percentage Change -0.9 -7.4 4.0 -16.9 3.4 9.4 The gross output of marine and freshwater crustaceans and molluscs recorded a decline of 0.9 percent compared to 2013. The decline was driven by the decrease in quantity produced. A decline of 4.0 per cent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of fishing companies by FBoS have been used to calculate the input ratios of this sub-class activity. 37. Sub-Class: 03114: Beach-de-mer diving 2013 Aggregates Expressed as % of GO 2014 Aggregates Expressed as % of GO Production in MT: 322 90 Beach-de-mer Price per MT : 60,000 65,000 Beach-de-mer Macroeconomic Aggregates 19,320,000 5,850,000 GO 1,564,920 8.1 25.8 1,509,300 IC 17,755,080 91.9 74.2 4,340,700 VA 772,800 4.0 7.3 427,050 COE 463,680 2.4 2.5 146,250 CFC 16,518,600 85.5 64.4 3,767,400 OS (Production and producer price of the commodity were sourced from Department of Fisheries) Percentage Change -69.7 -3.6 -75.6 -44.7 -68.5 -77.2 The gross output of beach-de-mer recorded a decline of 69.7 percent compared to 2013. The decrease was driven by decline in the quantity produced. A decrease of 75.6 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of fishing companies by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 33 38. Sub-Class 03115: Gathering of other marine organisms and materials 2013 Aggregates Expressed as % of GO 2014 Aggregates Expressed as % of GO Percentage Change Production: 134,107 1,102,671 Coral (Pieces) 295,828 140,654 Ornamental Fish (Pieces) 109,825 29,644 Ornamental Invertebrates (Pieces) 589 576,020 Live Rock (MT) 72,643 Coral Base Rock (MT) Price in $ Value: 18,500,000 19,300,000 Macroeconomic Aggregates 18,500,000 19,300,000 GO 3,387,090 18.3 19.0 3,667,000 IC 15,110,910 81.7 81.0 15,633,000 VA 1,718,733 9.3 9.5 1,833,500 COE 518,000 2.8 2.8 540,400 CFC 12,876,177 69.6 68.7 13,259,100 OS (Production and producer price of the commodity were sourced from Department of Fisheries) 4.3 8.3 3.5 6.7 4.3 3.0 The gross output of marine organisms and materials recorded an increase of 4.3 percent compared to 2013. The increase was driven by increase value of quantity produced. An improvement of 3.5 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of fishing companies by FBoS have been used to calculate the input ratios of this sub-class activity. 39. Sub-Class 03211: Marine aquaculture 2013 Production: Brackish Water Shrimp (MT) Seaweed (MT) Black Pearl (Pieces) Price: Brackish Water Shrimp (MT) Seaweed (MT) Black Pearl (Pieces) Macroeconomic Aggregates GO IC VA COE CFC OS Aggregates Expressed as % of GO Aggregates Expressed as % of GO 2014 17 31,390 1 105 13,700 35,001 2,000 400 35,001 2,500 450 12,590,000 6,433,490 6,156,510 717,630 289,570 5,149,310 51.1 48.9 5.7 2.3 40.9 6,462,501 2,817,650 3,644,851 478,225 71,088 3,095,538 43.6 56.4 7.4 1.1 47.9 Percentage Change -48.7 -56.2 -40.8 -33.4 -75.5 -39.9 (Production and producer price of the commodity were sourced from Department of Fisheries) The gross output of marine aquaculture recorded a decline of 48.7 percent compared to 2013. The decline was driven by decrease in the quantity produced. A decline of 40.8 percent was noted in the value added of the commodity when compared to 2013. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 34 Data obtained through personal interviews of fishing companies by FBoS have been used to calculate the input ratios of this sub-class activity. 40. Sub-Class 03222: Freshwater aquaculture 2013 Aggregates Expressed as % of GO 2014 Aggregates Expressed as % of GO Production: 20 182 Tilapia/deep sea snapper (MT) 37,222 Grass & Silver Carps (Pieces) 18 1 Prawns (MT) 973 Fancy & Goldfish (Pieces) Price: Tilapia/deep sea snapper (MT) 7,000 7,500 5 Grass & Silver Carps (Pieces) 5 30,000 Prawns (MT) 25,000 20 20 Fancy & Goldfish (Pieces) Macroeconomic Aggregates 1,929,570 GO 180,000 51.0 48.9 943,560 IC 91,800 986,010 51.1 49.0 88,200 VA 6.5 125,422 6.7 12,060 COE 2.9 55,958 3.0 CFC 5,400 804,630 41.7 39.3 70,740 OS (Production and producer price of the commodity were sourced from Department of Fisheries) Percentage Change -90.7 -90.3 -91.1 -90.4 -90.3 -91.2 The gross output of freshwater aquaculture recorded a decline of 90.7 percent compared to 2013. The decline was driven by decrease in the quantity produced. A decline of 91.1 percent was noted in the value added of the commodity when compared to 2013. Data obtained through personal interviews of fishing companies by FBoS have been used to calculate the input ratios of this sub-class activity. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 35 APPENDIX I: CONCEPTS AND DEFINITIONS All concepts and definitions used in this report are based upon the recommendations of the United Nations. The major concepts and definitions and their treatment are briefly explained below. Compensation of Employees Includes payments, whether in cash or in kind, made by the employer during the inquiry period for the work done to all persons included in the count of employees. It includes all cash payments, commissions, bonuses, cost of living allowances and wages paid during periods of vacation and sick leave, contributions in respect of their social security and pension and payments in kind. Consumption of Fixed Capital In theory this is the value of the current replacement cost of fixed assets used up during the accounting period as a result of normal wear and tear. The consumption of fixed capital shown in this report is derived from the information supplied by the firm. This is expected to conform largely to the requirements of Income Tax Act. Employees This includes all persons who work in the establishment and receive regular pay and persons working away from the establishment when paid by and under the control of the establishment, including persons on sick leave, holiday or vacation. Also included are salaried managers, and directors of incorporated businesses except when paid solely for their attendance at board of directors meetings. This category excludes working proprietors and unpaid family workers. Establishment An establishment can be referred to as an enterprise that engages in one or predominantly one kind of economic activity, at or from one location, for which data are available or can be meaningfully compiled, that allow the calculation of the operating surplus. Fixed Assets Fixed assets include the value of all physical assets expected to have a productive life of more than one year and intended for use by the establishment. Included are major additions, alterations and improvements to existing fixed assets that extend their normal economic life or raise their productivity. Gross Fixed Capital Formation This is the outlay on new and second-hand durable goods less their sales plus their own account capital construction work done. Gross Output This is the gross value of all goods and services produced during the accounting period, the value of own account capital construction and other income. Intermediate Consumption Intermediate consumption consists of non-durable goods and services which have a lifetime of use of less than one year. Compensation of employees do not form part of intermediate consumption, but expenditure such as travelling expenses of management personnel are included. Intermediate consumption differs from total purchases of raw materials, fuels etc. by the amount of stock changes of such goods. Valuation of intermediate consumption is at purchasers’ value i.e. it is inclusive of all costs incurred by producers in the acquisition of the required goods and services. Operating This is the excess of value added by producers over compensation of employees, Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 36 Surplus consumption of fixed capital and net indirect taxes. Payments in kind This is defined as the net cost to the employer of those goods and services furnished to employees free of charge or at markedly reduced cost that are clearly and primarily of benefit to the employees as consumers. The item includes food, beverages, clothing (except uniforms for civilians as these are not worn off-duty) and lodging etc. Persons Engaged This is defined as the total number of persons who worked in or for the establishment during the reference period, including working proprietors, active business partners, unpaid family workers and regular paid workers. Statistical Unit Unpaid Family Workers Statistical unit is the Unit for which information is collected. Value Added Value added is the difference between the gross output and the intermediate consumption. It provides a useful way of measuring without duplication the economic importance of an industry or industrial sector. Working Proprietors Working proprietors are owners of establishments who are actively engaged in the work of the establishment. Excluded are silent or inactive partners. Unpaid family workers are persons living in the household of any of the proprietors of the owning establishment and working in the establishment without regular pay for at least one third of the working time normal to the establishment. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 37 APPENDIX II: INDUSTRIAL CLASSIFICATION USED SECTION A: AGRICULTURE, FORESTRY AND FISHING from the Fiji Standard Industrial Classification 2010, commonly known as FSIC 2010 has been used. FSIC 2010 is based on the International Standard Industrial Classification Rev. 4. AGRICULTURE, FORESTRY AND FISHING includes the exploitation of vegetal and animal natural resources, comprising the activities of growing of crops, raising and breeding of animals, harvesting of timber and other plants, animals or animal products from a farm or their natural habitats. DIVISION GROUP CLASS SUBDESCRIPTION CLASS 01 CROP AND ANIMAL PRODUCTION, RELATED SERVICE ACTIVITIES HUNTING AND This division includes two basic activities, namely the production of crop products and production of animal products, covering also the forms of organic agriculture, the growing of genetically modified crops and the raising of genetically modified animals. It also includes service activities incidental to agriculture, as well as hunting, trapping and related activities. Group 015 (Mixed farming) breaks with the usual principles for identifying main activity. It accepts that many agricultural holdings have reasonably balanced crop and animal production and that it would be arbitrary to classify them in one category or the other. Agricultural activities exclude any subsequent processing of the agricultural products (classified under division 10 for manufacture of food products; 11 for manufacture of beverages and 12 for manufacture of tobacco products), beyond that needed to prepare them for the primary markets. However, the preparation of products for the primary markets e.g. drying of tobacco leaves is included here. The division excludes field construction (e.g. agricultural land terracing, drainage, preparing rice paddies etc.) classified in section F (Construction) and buyers and cooperative associations engaged in the marketing of farm products classified in section G. 011 Growing of non-perennial crops This group includes the growing of non-perennial crops, i.e. plants that do not last for more than two growing seasons. Included is the growing of these plants for the purpose of seed production. 0111 01111 Growing of cereals (except rice) leguminous crops and oil seeds This sub-class includes all forms of growing of cereals e.g. maize grains, leguminous crops e.g. beans and lentils and oil seeds e.g. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 38 DIVISION GROUP CLASS SUBDESCRIPTION CLASS groundnuts in open fields, including those considered organic farming and the growing of genetically modified crops. The growing of these crops is often combined within agricultural units. This sub-class excludes: -growing of maize for fodder, see 01191 -growing of edible nuts, see 01251 0112 01121 Growing of rice This sub-class includes growing of rice (including organic farming and the growing of genetically modified rice) 0113 Growing of vegetables and melons, roots and tubers 01131 Growing of taro This sub-class includes growing of taro. 01132 Growing of cassava This sub-class includes growing of cassava 01133 Growing of yam This sub-class includes growing of yam 01134 Growing of kumala This sub-class includes growing of kumala 01139 Growing of vegetables and melons, roots and tubers n.e.c. This sub-class includes: -growing of leafy or stem vegetables such as cabbages, cauliflower, lettuce, spinach and other leafy or stem vegetables -growing of fruit bearing vegetables such as cucumbers, eggplants (aubergines), tomatoes and other melons and fruit-bearing vegetables -growing of root, bulb or tuberous vegetables such as carrots, turnips, garlic, onions (incl. shallots), other alliaceous vegetables and other root, bulb or tuberous vegetables -growing of mushrooms -growing of vegetable seeds -growing of other vegetables -growing of roots and tubers 0114 01141 This sub-class excludes: -growing of watermelons, see 01226 -growing of mushroom spawn, see 01301 -growing of chilies and peppers (capsicum) and other spices and aromatic crops, see 01289 Growing of sugar cane Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 39 DIVISION GROUP CLASS SUBDESCRIPTION CLASS This sub-class includes growing of sugar cane. 0115 01151 Growing and curing of tobacco This sub-class includes growing of unmanufactured tobacco. Preliminary processing e.g. drying of tobacco leaves is included. 0116 01161 Growing of fibre crops This sub-class includes growing of cotton or other vegetable textile fibres. 0119 01191 Growing of other non-perennial crops This sub-class includes the growing of non-perennial crops n.e.c. such as -growing of fodder roots, clover, alfalfa, maize and other grasses, forage kale and similar forage products -growing of seeds of forage plants -growing of flowers, including production of cut flowers and flower buds -growing of flower seeds This sub-class excludes: -growing of sunflower seeds, see 01111 -growing of non-perennial spice, aromatic, drug and pharmaceutical crops, see 01289 012 Growing of perennial crops This sub-group includes the growing of perennial crops, i.e. plants that lasts for more than two growing seasons, either dying back after each season or growing continuously. Included is the growing of these plants for the purpose of seed production. 0112 01121 Growing of grapes This sub-class includes: -growing of wine grapes and table grapes in vineyards 0122 Growing of tropical and subtropical fruits 01221 Growing of bananas This sub-class includes growing of bananas 01222 Growing of pineapples This sub-class includes growing of pineapples 01223 Growing of mangoes Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 40 DIVISION GROUP CLASS SUBDESCRIPTION CLASS This sub-class includes growing of mangoes 01224 Growing of papayas This sub-class includes growing of papayas 01225 Growing of noni This sub-class includes growing of noni. 01226 Growing of watermelon This sub-class includes growing of watermelon. 01229 Growing of tropical and subtropical fruits n.e.c. This sub-class includes growing of tropical and subtropical fruits e.g. avocados and other tropical and subtropical fruits 0123 01231 Growing of citrus fruits This sub-class includes growing of oranges and other citrus fruit. 0125 01251 Growing of other tree and bush fruits and nuts This sub-class includes: -growing of berries: -growing of fruit seeds -growing of edible nuts e.g. peanuts -growing of other tree and bush fruits: This sub-class excludes: -growing of coconuts, see 01261 0126 01261 Growing of oleaginous fruits This sub-class includes growing of oleaginous fruits e.g. coconuts and other oleaginous fruits This sub-class excludes: -growing of soya beans, groundnuts and other oil seeds, see 01111 0127 Growing of beverage crops 01271 01272 Growing of cocoa This sub-class includes growing of cocoa Growing of coffee 01281 This sub-class includes growing of coffee Growing of spices, aromatic, drug and pharmaceutical crops Growing of ginger 0128 Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 41 DIVISION GROUP CLASS SUBDESCRIPTION CLASS This sub-class includes growing of ginger. 01282 Growing of yaqona This sub-class includes growing of yaqona. 01283 Growing of vanilla This sub-class includes growing of vanilla 01289 Growing of spices, aromatic, drug and pharmaceutical crops n.e.c. This sub-class includes: -growing of perennial and non-perennial spices and aromatic crops not elsewhere specified e.g. pepper (piper), chilies and peppers (capsicum) and other spices and aromatic crops -growing of drug and narcotic crops -growing of plants used primarily in perfumery, in pharmacy or for insecticidal, fungicidal or similar purposes 0129 01299 Growing of other perennial crops This sub-class includes growing of vegetable materials of a kind used primarily for plaiting 0130 01301 Plant propagation This sub-class includes the production of all vegetative planting materials including cuttings, suckers and seedlings for direct plant propagation or to create plant grafting stock into which selected scion is grafted for eventual planting to produce crops e.g. growing of plants for planting; growing of plants for ornamental purposes, including turf for transplanting; growing of live plants for bulbs, tubers and roots; cuttings and slips; mushroom spawn; operation of tree nurseries, except forest tree nurseries This sub-class excludes: -growing of plants for the purpose of seed production, see groups 011 and 012 -operation of forest tree nurseries, see class 0210 014 Animal production This group includes raising (farming) and breeding of all animals, except aquatic animals. This group excludes: -breeding support services, such as stud services, see 01619 -farm animal boarding and care, see 01619 Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 42 DIVISION GROUP CLASS SUBDESCRIPTION CLASS -production of hides and skins from slaughterhouses, see 10102 0141 Raising of cattle and buffaloes 01411 Raising and breeding of cattle and buffaloes This sub-class includes raising and breeding of cattle and buffaloes This sub-class excludes: -production of raw milk, see 01412 01412 Production of raw cow milk from cows or buffaloes This sub-class includes production of raw cow milk from cows or buffaloes This sub-class excludes: -processing of milk, see 10501 0142 01421 Raising of horses and other equines This sub-class includes raising and breeding of horses (including racing horses) This sub-class excludes: -operation of racing and riding stables, see 93199 0144 Raising of sheep and goats 01441 Raising and breeding of sheep This sub-class includes raising and breeding of sheep This sub-class excludes: -sheep shearing on a fee or contract basis, see 01619 -production of pulled wool, see 10102 01442 Raising of goats This sub-class includes raising and breeding of goats 0145 01451 Raising of swine/pigs This sub-class includes raising and breeding of swine (pigs) 0146 Raising of poultry 01461 Raising and breeding of poultry Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 43 DIVISION GROUP CLASS SUBDESCRIPTION CLASS This sub-class includes fowls of the species Gallus domesticus (chickens and capons), ducks, geese, turkeys and guinea fowls This sub-class excludes: -production of feathers or down, see 10101 01462 Production of eggs This sub-class includes -poultry farming for production of eggs -operation of poultry hatcheries 0149 Raising of other animals 01491 Bee-keeping This sub-class includes the production of honey. 01492 Other animal farming; production of animal products n.e.c This sub-class includes raising of live animals and production of animal products n.e.c. 0150 01501 Mixed farming This sub-class includes the combined production of crops and animals without a specialized production of crops or animals. The size of the overall farming operation is not a determining factor. If either production of crops or animals in a given unit exceeds 66 per cent or more of standard gross margins, the combined activity should not be included here, but allocated to crop or animal farming. This sub-class excludes: -mixed crop farming, see groups 011 and 012 -mixed animal farming, see group 014 016 0161 01619 Support activities to agriculture and post-harvest crop activities This sub-class includes: -support activities for crop production -agricultural activities on a fee or contract basis e.g. preparation of fields, establishing a crop, treatment of crops, crop spraying, including by air, trimming of fruit trees and vines, transplanting of rice, thinning of beets, harvesting and pest control (including rabbits) in connection with agriculture -operation of agricultural irrigation equipment -provision of agricultural machinery with operators and crew -maintenance of land to keep it in good condition for agricultural use -support activities for animal production -agricultural activities on a fee or contract basis e.g. activities to promote propagation, growth and output of animals, herd testing services, droving services, poultry caponizing, coop, Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 44 DIVISION GROUP CLASS SUBDESCRIPTION CLASS cleaning etc., activities related to artificial insemination, stud services, sheep shearing, farm animal boarding and care -activities of farriers -post-harvest crop activities -preparation of crops for primary markets, i.e. cleaning, trimming, grading, disinfecting -cotton ginning -preparation of tobacco leaves -preparation of cocoa beans -waxing of fruit -sun-drying of fruit and vegetables -seed processing for propagation -all post-harvest activities aimed at improving the propagation quality of seed through the removal of non-seed materials, undersized, mechanically or insect damaged and immature seeds as well as removing the seed moisture to a safe level for seed storage. This activity includes the drying, cleaning, grading and treating of seeds until they are marketed. The treatment of genetically modified seeds is included here. This sub-class excludes: -activities of agronomists and agricultural economists, see 74909 -landscape gardening, planting, see 81301 -maintenance of land to keep it in good ecological condition, see 81301 -organization of agricultural shows and fairs, see 82301 -activities of farriers -veterinary activities, see 75001 -vaccination of animals, see 75001 -renting of animals (e.g. herds), see 77301 -pet boarding, see 96099 -preserving of fruit and vegetables, including dehydration by artificial means, see 10301 -stemming and redrying of tobacco, see 12001 017 0170 01701 Hunting, trapping and related service activities This sub-class includes: -hunting and trapping on a commercial basis -taking of animals (dead or alive) for food, fur, skin, or for use in research, in zoos or as pets -production of fur skins, reptile or bird skins from hunting or trapping activities This sub-class excludes: -hunting for sport or recreation and related service activities, see 93199 Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 45 DIVISION GROUP CLASS SUBDESCRIPTION CLASS 02 FORESTRY AND LOGGING This division includes the production of round wood for the forestbased manufacturing industries as well as the extraction and gathering of wild growing non-wood forest products. Besides the production of timber, forestry activities result in products that undergo little processing, such as fire wood, charcoal, wood chips and round wood used in an unprocessed form (e.g. pit-props, pulpwood etc.). These activities can be carried out in natural or planted forests. 021 0210 Silviculture and other forestry activities This group includes the growing of standing timber: planting, replanting, transplanting, thinning and conserving of forests and timber tracts; growing of coppice, pulpwood and fire wood and operation of forest tree nurseries 02101 Native Forest This sub-class includes growing of standing timber and operation of native forest tree nurseries. This sub-class excludes: -operation of tree nurseries, see 01301 -gathering of wild growing non-wood forest products, see 02301 -production of wood chips and particles, see 16101 02102 Pine This sub-class includes growing of standing timber operation of pine tree nurseries. This sub-class excludes: -operation of tree nurseries, see 01301 -gathering of wild growing non-wood forest products, see 02301 -production of wood chips and particles, see 16101 02103 Mahogany This sub-class includes growing of standing timber and operation of mahogany tree nurseries. This sub-class excludes: -operation of tree nurseries, see 01301 -gathering of wild growing non-wood forest products, see 02301 -production of wood chips and particles, see 16101 022 0220 02201 Logging Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 46 DIVISION GROUP CLASS SUBDESCRIPTION CLASS This sub-class includes: -production of round wood for forest-based manufacturing industries -production of round wood used in an unprocessed form such as pitprops, fence posts and utility poles -gathering and production of fire wood -production of charcoal in the forest (using traditional methods) The output of this activity can take the form of logs, chips or fire wood. This sub-class excludes: -growing of standing timber: planting, replanting, transplanting, thinning and conserving of forests and timber tracts, see class 0210 -gathering of wild growing non-wood forest products, see 02301 -production of wood chips and particles, not associated with logging, see 16101 023 0230 02301 Gathering of non-wood forest products This sub-class includes the gathering of non-wood forest products and other plants growing in the wild e.g. nuts, lac and resins, mushrooms, truffles, berries, balata and other rubber-like gums, cork, balsams, vegetable hair, eelgrass, acorns, horse chestnuts, mosses and lichens This sub-class excludes: -growing of mushrooms or truffles, see 01139 -growing of berries or nuts, see 01251 -gathering of fire wood, see 02201 024 0240 02401 Support services to forestry This sub-class includes -forestry service activities: -forestry inventories -forest management consulting services -timber evaluation -forest fire fighting and protection -forest pest control -logging service activities: -transport of logs within the forest This sub-class excludes: -operation of forest tree nurseries, see class 0210 03 FISHING AND AQUACULTURE This division includes capture fishery and aquaculture, covering the use of fishery resources from marine, brackish or freshwater environments, with the goal of capturing or gathering fish, crustaceans, molluscs and other marine organisms and products (e.g. aquatic plants, pearls, sponges etc). Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 47 DIVISION GROUP CLASS SUBDESCRIPTION CLASS Also included are activities that are normally integrated in the process of production for own account (e.g. seeding oysters for pearl production). 031 Fishing This group includes capture fishery, i.e. the hunting, collecting and gathering activities directed at removing or collecting live wild aquatic organisms (predominantly fish, molluscs and crustaceans) including plants from the oceanic, coastal or inland waters for human consumption and other purposes by hand or more usually by various types of fishing gear such as nets, lines and stationary traps. Such activities can be conducted on the intertidal shoreline (e.g. collection of molluscs such as mussels and oysters) or shore based netting, or from home-made dugouts or more commonly using commercially made boats in inshore, coastal waters or offshore waters. Unlike in aquaculture (group 032), the aquatic resource being captured is usually common property resource irrespective of whether the harvest from this resource is undertaken with or without exploitation rights. Such activities also include fishing restocked water bodies. 0311 Marine fishing This class includes activities of vessels engaged in fishing in ocean and coastal waters. This class excludes: -capturing of marine mammals see 01701 -processing of fish, crustaceans and molluscs on factory ships or in factories ashore, see10201 -fishing inspection, protection and patrol services, see 84231 -fishing practiced for sport or recreation and related services, see 93299 -operation of sport fishing preserves, see 93299 03111 Marine fishing on a commercial basis This sub-class includes fishing on a commercial basis in ocean and coastal waters. 03112 Taking of marine crustaceans and molluscs This sub-class includes taking of marine crabs, prawns, etc in ocean and coastal waters. 03113 Taking of marine aquatic animals: turtles, sea squirts, tunicates, sea urchins etc This sub-class includes turtle hunting, fishing for octopus etc in ocean and coastal waters. 03114 Beach-de-mer diving Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 48 DIVISION GROUP CLASS SUBDESCRIPTION CLASS This sub-class includes bech-de-mer diving in ocean and coastal waters. 03115 Gathering of other marine organisms and materials This sub-class includes gathering of other marine organisms and materials: natural pearls, sponges, coral and algae in ocean and coastal waters. 0312 Freshwater fishing This class includes fishing in inland waters. This class excludes: -fishing inspection, protection and patrol services, see 84231 -fishing practiced for sport or recreation and related services, see 93299 -operation of sport fishing preserves, see 93299 03121 Freshwater fishing on a commercial basis This sub-class includes fishing on a commercial basis in inland waters. 03122 Taking of freshwater crustaceans and molluscs This sub-class includes taking of freshwater crabs, prawns, kai etc in inland waters 03123 Taking of freshwater aquatic animals 03124 This sub-class includes taking of freshwater aquatic animals in inland waters Gathering of freshwater materials This sub-class includes gathering of freshwater organisms and materials: pearls, etc in inland waters 032 Aquaculture This group includes aquaculture (or aqua farming), i.e. the production process involving the culturing or farming (including harvesting) of aquatic organisms (fish, molluscs, Crustaceans, plants, etc) using techniques designed to increase the production of the organisms in question beyond the natural capacity of the environment (for example regular stocking, feeding and protection from predators). Culturing/farming refers to the rearing up to their juvenile and/or adult phase under captive conditions of the above organisms. In addition, Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 49 DIVISION GROUP CLASS SUBDESCRIPTION CLASS aquaculture also encompasses individual, corporate or state ownership of the individual organisms throughout the rearing or culture stage, up to and including harvesting. 0321 03211 Marine aquaculture This sub-class includes: -fish farming in sea water including farming of marine ornamental fish -production of bivalve spat (oyster mussel etc.), lobster lings, shrimp post-larvae, fish fry and fingerlings -growing of laver and other edible seaweeds -culture of crustaceans, bivalves, other molluscs and other aquatic animals in sea water -aquaculture activities in brackish waters -aquaculture activities in salt water filled tanks or reservoirs -operation of fish hatcheries (marine) -operation of marine worm farms This sub-class excludes: -operation of sport fishing preserves, see 93299 0322 03222 Freshwater aquaculture This sub-class includes: -fish farming in freshwater including farming of freshwater ornamental fish -culture of freshwater crustaceans, bivalves, other molluscs and other aquatic animals -operation of fish hatcheries (freshwater) Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 50 APPENDIX III SAMPLE QUESTIONNAIRE Ratu Sukuna House, Mac Arthur Street, Victoria Parade, Suva P O Box 2221 Government Buildings Suva [email protected] FIJI www.statsfiji.gov.fj Telephone: Fax No. E-mail: [679] 331 5822 [679] 330 3656 Website: CONFIDENTIAL 2014 AGRICULTURE, FORESTRY AND FISHING CASE STUDY ________________________________________________ Please specify the name and address. ________________________________________________ Dear Sir\Madam, PURPOSE: The study provides an important means of assessing the contribution this sector makes to the economy of Fiji, and indicates the changing composition and structure of the industry. The results of the Study are used by the Fiji Bureau of Statistics in the estimation of the Gross Domestic Product / National Income of Fiji and in the provision of other key indicators. REFERENCE PERIOD: Reference period is the calendar year 2014. If your accounting year is different provide information approximating closest to the calendar year 2014. COMPULSORY REQUIREMENT: The Study is conducted under the provisions of the Statistics Act 1961(Cap 71). In accordance with Section 8 subsection 2 of this Act you are required to provide the correct data during the interview. Failure to provide data could result in legal action without further notice. CONFIDENTIALITY OF INFORMATION: Information supplied will be used by the department solely for the preparation of national statistics. Any release of information will be in accordance with the Statistics Act, which prohibits the release of data in a manner that identifies individual establishments or enterprises. HELP AVAILABLE: Please contact Mr. Antonio Sokomuri on Extension 132 or email: [email protected] Epeli Waqavonovono Government Statistician Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 51 QUESTIONNAIRE All relevant questions – QUESTIONS THAT ARE RELEVANT TO YOUR OPERATIONS – must be answered with clear and correct figures. Estimates will be accepted where actual data are not available. Values are to be expressed in Fiji dollars. Note: Farm gate price is to be included. A PARTICULARS OF THE ESTABLISHMENT NAME OF ORGANISATION: LOCATION ADDRESS: 1. NATURE OF WORK : Please give a brief description of the main activity and any other substantial activity of the establishment covered by this return : Main activity : Other activity : 2. EMPLOYMENT a) Operatives (wage earners) b) Other (salary earners) c) Working proprieties d) Unpaid family workers Total B NUMBER EMPLOYED OUTPUT 3. VALUE OF PRODUCTION DURING THE ACCOUNTING YEAR a) DESCRIPTION OF PRODUCT QUANTITY PRODUCED (TONNES) A b) TOTAL Value of goods used for own consumption ($) Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 52 PRICE PAID TO GROWERS ($/TONNE) B TOTAL VALUE ($) A*B 4. OTHER INCOME EARNED DURING THE YEAR a) b) c) d) e) f) g) Minor repairs & maintenance to plant, machinery, transport, buildings etc. Value of own account capital construction work done Rental income received for the hire of building; plant machinery transport etc. Insurance claim received Interest received Gain on sale of fixed assets Others (specify) VALUE ($) Total 5. C 6. TOTAL INCOME DERIVED DURING THE YEAR (QUESTIONS 3 AND 4) $ INPUT PURCHASE OF MATERIALS DURING THE YEAR VALUE ($) E.g. For crops: a) Seeds b) Fertilizer c) Chemicals d) Weedicides For livestock and poultry : a) Feeds TOTAL 7. OPERATING EXPENDITURE DURING THE YEAR a) b) c) d) e) f) g) h) i) j) Cost of fuel e.g. petrol, automotive and industrial diesel oil, LPG, Kerosene etc Cost of electricity and water Cost of minor repairs & maintenance paid for on vehicles, buildings, machinery etc. Cost of transport expenses paid for on carriage and haulage and business travel Value of contract and commission work done Rental income paid for the hire of building; plant, machinery; transport etc. Bad & doubtful debts written off, business licenses & interest paid; loss on sale of assets Insurance paid Depreciation Others (specify) TOTAL Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 53 VALUE ($) 8. COMPENSATION OF EMPLOYEES GROSS WAGES AND SALARIES (2) EMPLOYERS CONTRIBUTION TO FNPF (3) PAYMENT IN KIND (4) VALUE ($) a) b) Operatives Others Total 9.GRAND TOTAL OF ALL EXPENDITURE INCURRED [QUESTIONS 6+7+8 (2), (3) AND (4)] D $ STOCKS OPENING (1) 10. MATERIALS, FUELSUPPLIES & COMPONENTS CLOSING (2) CHANGE (2) - (1) = (3) VALUE ($) TOTAL E 11. NET EARNINGS Net profit \ loss of your establishment \ enterprise (Question (5+10 (3) – 9) Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 54 $ F FIXED CAPITAL ASSETS 12. VALUE ($) TYPE OF FIXED ASSETS a) Land b) Land development & improvement c) Buildings d) Plant and Machinery e) Furniture, fixtures and office equipment Transport vehicle and related equipment Others (specify) : f) g) Opening book value (1) Purchase of new and second hand goods at cost Locally From abroad (2) (3) Own account Constr. (4) Sale of capital Assets (5) Depreciation (6) Closing book value (7) Eg. Planting of new trees to produce fruits Purchase of cows and hens to produce milk & eggs respectively Major constructions, reconstructions and extensions to existing fixed assets TOTAL Signature of person completing the questionnaire: ……………………………… Date: …………………… Name: …………………………………………………………………………………………………………. Position: ………………………………………………………………………………………………………. Telephone No: …………………………………………. Fax No: ….……………………………………….. THANK YOU FOR COMPLETING THE QUESTIONNAIRE Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 55 APPENDIX IV: PRIMARY PRODUCTION: SELECTED AGRICULTURAL PRODUCTS Period 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Sugar Cane [000 tonnes] [1] Copra [tonnes 3,384 2,263 3,747 3,598 3,077 3,216 2,817 2,971 2,826 3,192 2,513 2,322 2,089 1,751 2,115 1,546 1,610 1,832 11,551 17,041 16,511 13,422 16,553 14,349 9,506 14,805 11,291 11,139 10,079 12,583 10,096 6,496 7,255 13,808 14,259 18,107 Paddy Rice [tonnes] 17,385 5,092 17,301 13,170 14,612 12,852 15,504 14,358 15,189 12,732 14,870 11,595 11,637 7,684 7,914 4,701 6,282 6,843 Virginia Tobacco [tonnes] [2] Cocoa [tonnes] [7] Beef [tonnes] [3] Pork [tonnes] [3] Goat [tonnes] [8] Chicken [tonnes] [4] Eggs [tonnes] [9] Fish [tonnes] [5] Ginger [tonnes 215 167 233 313 390 238 385 224 333 318 266 257 439 452 480 464 239 467 72 146 148 15 5 16 15 12 15 12 14 13 5 6 1 24 23 10 3,279 3,177 2,984 2,688 2,874 2,452 2,452 2,233 2,252 2,252 1,958 1,866 1,719 1,761 2,197 2,171 2,272 2,800 737 778 750 891 673 677 780 981 1,117 928 973 920 1,128 1,169 1,180 813 1,540 997 833 875 905 934 971 762 810 1,158 930 946 969 983 238 227 134 170 150 105 9,156 7,775 8,261 8,100 8,237 10,623 12,165 12,900 12,090 13,579 14,413 14,429 11,866 14,383 20,428 18,385 17,076 18,231 2,629 4,103 3,137 3,201 2,668 2,771 2,839 2,908 3,791 3,522 3,438 3,401 3,471 5,707 5,473 5,463 6,719 9,994 13,230 13,920 20,515 21,078 18,598 20,687 15,654 22,973 29,609 24,661 9,841 13,456 13,252 23,046 18,847 13,465 13,303 15,084 2,683 3,500 2,608 3,622 1,437 3,710 3,290 3,680 3,652 3,210 3,111 2,488 2,787 2,338 2,575 3,331 5,908 5,553 Yaqona [tonnes] [6] Notes: [1] From 1996 figures relate to calendar year and not seasons, therefore may not necessarily tie in with sugarcane production data given elsewhere in this report. [2] Does not include Virginia tobacco used for twist tobacco. [3] For animals killed in slaughter houses only. [4] Refers to the output of registered chicken abattoirs only and includes dressed chicken as well as sales of live chickens. [5] Estimates of fish caught inside Fiji waters excluding ‘subsistence’. [6] Includes rejects, planting ginger rhizomes and diseased ones. [7] Sales to NATCO [8] Includes animals killed in slaughter houses. [9] Data on eggs have been revised due to the new weight conversion from 636 grams per dozen to 694 grams per dozen. Source: Fiji Sugar Corporation, Agriculture Department and Fisheries Department Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 56 3,310 3,204 3,216 3,082 4,575 4,039 2,691 2,149 2,259 1,700 3,350 3,286 2,603 2,792 2,227 3,101 3,732 3,871 APPENDIX V: SUGAR INDUSTRY PRODUCTION AND PRODUCER PRICES Sugar Cane [c] Year/ Season 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Number of Contracts / Growers 22,304 22,100 22,146 22,178 22,179 21,882 21,253 20,693 20,492 20,290 18,636 18,691 18,683 17,762 16,827 16,259 15,948 14,804 16,237 Area Harvested [000 hectares] 74 73 57 65 66 66 82 61 61 58 58 54 51 49 45 46 42 38 38 Production [000 tonnes] 4,380 3,280 2,098 3,958 3,786 2,805 3,423 2,610 3,001 2,789 3,226 2,478 2,321 2,247 1,778 2,096 1,546 1,610 1,832 Exports of Sugar [a] [b] Average Production per Hectare [tonnes/ hectares] 59.2 44.9 36.8 60.9 57.0 42.5 42.0 42.8 49.0 47.6 55.6 45.9 45.6 45.9 39.6 45.7 36.9 42.1 48.0 Prices Paid to Growers [F$/ tonnes] 44.82 50.07 81.79 50.76 44.01 60.80 53.80 60.12 55.48 58.13 42.83 56.00 54.00 56.59 45.67 54.87 70.00 82.50 81.00 Input of Cane per Tonne of Sugar Sugar Production Molasses Production [tonnes] [000 tonnes] [000 tonnes] 454 347 256 377 341 293 330 294 314 289 310 237 208 168 132 167 155 180 226 186 139 96 159 164 106 149 107 113 118 157 115 120 131 113 107 67 59 77 9.6 9.5 8.2 10.5 11.1 9.6 10.4 8.9 9.6 9.7 10.4 10.5 11.2 13.4 13.5 12.6 10.0 9.0 8.1 Notes: [a] In 1998 bulk of the sugar was exported to the European Union markets which paid higher prices. [b] Relates to calendar year. [c] Relates to seasons. Source: Fiji Sugar Corporation except for Sugar Exports data. Agriculture, Forestry and Fishing Industries 2014 Economic Statistics Division 57 Quantity [000 tonnes] 500 308 237 355 302 247 284 270 262 303 250 220 260 153 111 119 147 162 201 Value [fob] [F$000] 301,731 213,449 244,246 263,200 237,059 225,179 234,384 225,743 209,214 223,682 215,085 185,014 248,184 146,804 77,687 122,347 156,407 237,284 145,275 Unit Value [F$/ tonne] 603 693 1,031 741 785 912 825 836 799 738 860 841 955 960 701 1,024 1,066 1,110 724
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