This article was downloaded by:[Thammasat University ( Trial )] On: 25 September 2007 Access Details: [subscription number 781334512] Publisher: Routledge Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House, 37-41 Mortimer Street, London W1T 3JH, UK Applied Economics Letters Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713684190 A modified matrix for policy analysis on production diversification for Thai agriculture Shujie Yao a a Development Economics Research Group, Dept of Economics, University of Portsmouth, Portsmouth, UK Online Publication Date: 01 April 1997 To cite this Article: Yao, Shujie (1997) 'A modified matrix for policy analysis on production diversification for Thai agriculture', Applied Economics Letters, 4:4, 215 218 To link to this article: DOI: 10.1080/758518497 URL: http://dx.doi.org/10.1080/758518497 PLEASE SCROLL DOWN FOR ARTICLE Full terms and conditions of use: http://www.informaworld.com/terms-and-conditions-of-access.pdf This article maybe used for research, teaching and private study purposes. 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Downloaded By: [Thammasat University ( Trial )] At: 09:27 25 September 2007 Applied Economics Letters, 1997, 3, 2 15-2 18 A modijied matrix for policy analysis on production diversification for Thai agriculture SHUJIE YAO Developnzent Economics Research Group, Dept of Economics, University qf Port.smouth, Portsmouth PO4 8JF, UK Received 8 May 1996 A modified policy analysis matrix is developed to study the costs and benefits of crop production in Thailand. Government intervention in production diversification is assessed with alternative indicators of comparative advantages. It suggests that intervention may be socially undesirable but there are exceptional cases, especially when economic externality exists. I. INTRODUCTION Agricultural production in Thailand has been dominated by rice, but over the last few decades, there has been a deliberate effort by the government to encourage diversification from rice to other crops. The Thai government has given a number of reasons to justify its intervention policy (such as input subsidies and price protection for non-rice crops) by arguing that farmers are not fully aware of the long-term benefits of diversification and require some short-term incentives to change their traditional production pattern. Many government officials also point out that rice requires too much water which has become increasingly scarce due to the competition from industries and urban centres. Because there are no water charges in Thailand, the existing incentive structure may have encouraged too much production of rice. Furthermore, as rice production requires too much chemical fertilizer and insecticide, it can cause environmental damage and deplete soil fertility (Thomson, 1995). Therefore, a reduction of rice production is desirable for the sustainable growth of agriculture. This latter point in favour of government intervention is referred to the problem of economic externality (Timmer 1992). Given that intervention is already in place, the real question is not whether the government should intervene but how government intervention should be assessed. To answer this question, a modified policy analysis matrix (PAM) is developed to study the potential costs and benefits of government intervention. The main conclusion is that intervention can incur efficiency losses if water charging and the damage on soil fertility are ignored. When externality exists, 1350-585 1 O 1997 Routledge especially when environmental damage and the depletion of soil fertility are taken into account, government intervention may not be as undesirable as it is generally believed to be. 11. A MODIFIED POLICY ANALYSIS MATRIX (PAM) A policy analysis matrix (PAM) and its application in policy analysis is developed in Monke and Pearson (1989). In this section, I confine myself to brief definitions and explanations of concepts. Readers are, however, referred to Monke and Pearson (1989) and Yao (1994) for the theory of PAM and social pricing. The basic structure of a PAM is modified and presented in Table I . All the elements in Table 1 are evaluated on a land unit basis for a particular crop in a particular location. Each PAM has three rows. The first row accounts for the revenue ( A ) ,cost of tradable inputs (B), cost of non-tradable inputs excluding land (Cl), land rent (C2), net return to land (Dl) and profit ( D ) in private prices. The second row accounts for the revenue (E), cost of tradable inputs (F), cost of non-tradable inputs excluding land (GI), the opportunity cost of land (G2), net return to land ( H 1) and profit (F) measured in social prices. The third row accounts for the differences of the elements in the first row minus the corresponding elements in the second row. A number of important indicators can be derived from a PAM to study the comparative advantages of competitive crops. The most useful indicators are private net return to land (PNRL), social net return to land (SNRL) and domestic 215 Downloaded By: [Thammasat University ( Trial )] At: 09:27 25 September 2007 S. Yao Table 1 A modified policy analysis matrix (PAM) Accounts Revenue (1) (2) Private Social Divergence A E I Tradable input cost (3) N-tradable input cost excl. land (4) Land rents/ cost (5) Net return to land (6) Profit (7) B F J C1 GI KI C2 G2 K2 D1 H1 LI D H L N~~~S:(~)D~=A-B-CI;D=D~-C~.(~)H~=E-F-GI;H=H~-G~.(C ...; ) LI==DA- H .E( d;)JL = IB- J -FK ; I-K2. resource cost (DRC). PNRL and SNRL are defined by elements Dl and H 1 respectively in Table 1. DRC is defined in Equation 1. DRC = Domestic factor cost at social prices or Value - added measured at social prices ' G -Gl+G2 DRC = -- --E-F E-F PNRL indicates the net return to land for the producers. A crop with a higher value of PNRL is more desirable for the producers but not necessarily desirable for the society. Whether the production of a particular crop is socially beneficial is determined by the value of SNRL or the value of DRC. If DRC < 1, the crop is said to have comparative advantage internationally. Thus the smaller the value of DRC, the more advantage the crop will enjoy. Three other important indicators in a PAM are nominal protection coefficient of product (NPC), nominal protection Table 2 Major indicators of competitive crops in Northern Thailand (1992-93) Indicators EPCs (Blrai) PNRLs (B/rai) SNRLs (Blrai) DRCs Crops Nakornsawan Phitsanulok Rice Soybean Mungbean Rice Soybean Mungbean Rice Soybean Mungbean Rice Soybean Mungbean Rice Soybean Mungbean Rice Soybean Mungbean Notes: The bold figures indicate the most desirable crop with respect to the corresponding indicator. Source: Yao and Tinprapha (1995), Appendices I1 and 111. coefficient of tradable inputs (NPI), and effective protection coefficient of product (EPC). NPC measures the ratio of the private price of a product to its social price. If NPC > 1, producers are protected for the product. NPI measures the ratio of the private cost of tradable inputs to their social cost. If NPI > I , producers are protected for the purchase of inputs. EPC is the ratio of private value added of a product to its social value added. If EPC > 1, producers are protected with respect to the value-added produced. From Table 1, NPC, NPI and EPC can be defined by Equations 2, 3 and 4. private price of product - A social price of product E (2) NPI = private cost of tradable inputs - B -social cost of tradable inputs F (3) EPC = A -B private value - added -value - added E-F (4) NPC = 111. PAMs OF RICE, SOYBEAN AND MUNGBEAN IN NORTHERN THAILAND In policy analysis the selection of crops and locations is an important issue. Rice, soybean and mungbean are selected for this study because they are the major competitive crops in the selected regions. The basic information needed for compiling a PAM are yields and input requirements per land unit and market prices of inputs and outputs. The data of transportation cost, processing cost, storage cost, port charges, production/input subsidies, and importlexport tariffs are also required to derive the social prices. The data are available from the Office of Agricultural Economics (OAE, 1993) in the Ministry of Agriculture and Cooperatives of Thailand. About 60 f a m s are selected from each of the two provinces. The average farm size is 3.2 hectares. On average, 64% of the crop area is for rice and less than 20% for soybean and mungbean combined. The construction of a PAM involves calculating the private and social prices of products and tradable inputs and estimating the opportunity costs of domestic resources (land, Downloaded By: [Thammasat University ( Trial )] At: 09:27 25 September 2007 Modified matrix for policy analysis Table 3 Conditional values or percentage changes in sensitivity analyses Nakornsawan Conditions imposed DRC(S) = DRC(R) = 1 Phitsanulok DRC(S) = DRC(M) = 1 Sensitivity analyses A. Producthnpuf prices ( I ) Rice FOB price (2) Labour costs for all crops (3) Fertilizer CIF price for all crops B. Warer/environment (4) Conditional water charges on rice (5) Environmental charges on rice 3 5 0 Baht -350 Baht Notes: (a) DRC(S), DRC(R) and DRC(M) are respectively the DRCs of rice, soybean and mungbean. (b) For productlinput prices, decrease respectively, for waterlenvironment, '+' and '-' signify positive and negative economic externality. labour and local capital). As there are no water charges to the farmers, cost of water is ignored in this section but will be considered in the following section. The detailed construction of PAMs are referred to Yao and Tinprapha (1995). The results are reported in Table 2. In Nakornsawan, soybean is the most profitable crop for the f a r m e r (PNRL= 1051.7 B l r a i ) , f o l l o w e d by r i c e (PNRL = 875.3 Blrai). Rice is the most desirable crop for the society (SNRL = 1045.7 Blrai, DRC = 0.856), followed by soybean (SNRL = 717.7 Blrai, DRC = 1.204). In Phitsanulok, mungbean is the most profitable crop for the farmer (PNRL = 494.4 Blrai), followed by rice (PNRL = 398.6). Rice is the most desirable crop for the society (SNRL = 570.5, DRC = 0.9 1S), followed by mungbean (SNRL = 420.1 Blrai, DRC = 1.162). The results in Table 2 indicate that there is an incentive for farmers to diversify production from rice to soybean in Nakornsawan and to mungbean in Phitsanulok. From the society's viewpoint, such a diversification seems undesirable. The conflict between private and social interests can be explained by government intervention as indicated by the values of NPCs, NPIs and EPCs in Table 2. NPC, NPI and EPC of soybean in both provinces suggest that soybean production is heavily subsidized for inputs and protected for the product (NPC > 1, and NPI < 1). Although rice production is also subsidized for inputs (NPI < I), it is taxed for the product (NPC < 1). The net effect of production taxation and input subsidy results in a net taxation on value added (EPC < 1). Price distortion in mungbean production is similar to that in rice production (NPC < 1, NPI < 1, EPC < I) but the extent of implicit taxation on the value added of mungbean is slightly more severe than that of rice. - 196 Bahts - 196 '+' and '-' Baht signify increase and production of rice should bear a negative externality (in terms of effects on the environment and soil fertility) whilst legume crops a positive one (detailed discussion on externality, see Thomson, 1995). In this section, a constrained sensitivity analysis is conducted to answer the following question: what additional water charges on rice will make rice and its closest rival crops equally desirable for the society, ceteris paribus? A similar constrained analysis is done to derive the conditional environmental cost of rice production in order to bring the DRCs of rice and its closest rival crops equal to unity. Because the government expects that the price of rice will continue to decline and input prices (fertilizers and labour) will continue to rise, two more analyses are added to answer a similar question: how much rise in input prices, or how much decrease in rice export price, will bring the DRCs of rice and its closest rival crops equal to unity, ceteris paribus? The results of the analyses are summarized in Table 3. According to the results, the comparative advantage enjoyed by rice as indicated in Table 2 (Section 111) would be overtaken by soybean in Nakornsawan and mungbean in Phitsanulok if any of the following conditions holds true: (a) f.0.b. price of rice drops by 8.5 to 9.0%; (b) labour cost for all crops increases by 156-1 75% (because rice uses more labour than the other crops); (c) fertilizer c.i.f. price increases by 89105% (because rice uses more fertilizers than the other crops); (d) if the opportunity cost of water for rice is higher than that for the other two crops by 196-350 Bahtlrai, or 7-12% of the social revenue of rice; or (e) an environmental damage of 196350 Bahtlrai caused by rice. V. CONCLUSIONS IV. CONSTRAINED SENSITIVITY ANALYSES It has long been recognized that water is socially valuable although it has been provided free to farmers. In addition, the This paper construct a modified policy analysis matrix to study the comparative advantages of crop production in Thailand and to assess the potential costs and benefits of government intervention in production diversification. Downloaded By: [Thammasat University ( Trial )] At: 09:27 25 September 2007 S. Yao If water charging and externality were ignored, intervention would incur efficiency losses if farmers are lured to diversify production from rice to other crops. The constrained sensitivity, however, suggest that a number of possible changes may cause the comparative advantage of rice to fall, and hence government intervention in diversification may be socially desirable. ACKNOWLEDGEMENT Financial support of the Food and Agricultural Organization (FAO) of the United Nations is gratefully acknowledged. I thank many officials in the Ministry of Agriculture in Thailand, Carlo Cappi, A.I. Abdel-Aziz, Ann Thomson and Alan Collins for their comments but remain responsible for any errors or omissions. REFERENCES Office of Agricultural Economics (OAE, 1993) Agricultural Statistics, No. 445, Ministry of Agriculture and Cooperatives, Bangkok, Thailand. Monke, E. A. and Pearson, S. R. (1989) The Policy Analysis Matrix for Agricultural Development. Comell University Press, Ithaca and London. Timmer, C.P. (1992) Agricultural diversification in Asia: lessons from the 1980s and issues for the 1990s. In Trends in Agricultural Diversification: Regional Perspective, (eds. Barghouti, s.; L Garbus; and D. Umali). World Bank Technicul Paper (1992), no. 180. The World Bank, Washington, D.C. Thomson, A. (1995) Agricultural Policy Analysis in Thailand: The Issue of Agricultural Divers@ication. Report prepared for the Food and Agricultural Organization (FAO) of the United Nations. Yao, S. (1994) Policy Analysis Matrix: The Major Crops of Pakistan, Training material, Food and Agriculture Organization of the United Nations (Mimeographed). Yao, S. and Tinprapha, C. (1995) Comparative Advantage and Crop Diversification: A policy analysis matrix for the Thai ugriculture. A technical report prepared for the Food and Agricultural Organization (FAO) of the United Nations and the Ministry of Agriculture and Cooperatives of the Royal Thailand Government.
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