* 2011 1 9 ** 2004 12 * 2006 21 COE CEMANO CEMANO K. Palanisami ** Yasuyuki SAWADA, Ph.D.: 113-0033 7-3-1 ; Graduate School of Economics and Faculty of Economics, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan 1 Kohara, Ohtake, and Saito (2006), Carter et. al (2007), Gitter and Barham (2007), Sawada and Shimizutani (2007, 2008), Shoji (2010), Takasaki et al. (2004) 1 1980 2004 12 (Dercon ed., 2005; Fafchamps,2003) Tamil Nadu , 500m Kunreuther and Rose, 2004 , 2001, , 2003, , 2008 Hirshleifer (1966) Kunreuther and Rose, 2004 Howard Kunreuther (1978) 2005; Froot, ed., 1999; , 2005) Camerer and Kunreuther, 1989) , Centre for Research on the Epidemiology of Disasters (CRED) Emergency Events Database (EM-DAT) (Skidmore and Toya, 2002; Toya and Skidmore, 2007; Khan, 2005; Strömberg, 2007; Sawada, et. al, 2010) Rodriguez, Balasubramanian, Shiny, Duraiswamy and Jaiprakash (2008) Aldrich (2011) Tamil Nadu 8000 serendipitous treatment group control group DiNardo (2008) experiment natural 30 District 13 376 373 3 984,564 (Nagapattinum District) 8,010 3,432 126,182 2 3 2 2 2 21 2004 12 26 9 11 2~3 2 815.0 million USD 100.8 million USD 51.8 million USD 44.7 millionUSD 1 67 NGO Coordination and Resource Centre (NCRC) , 1 ( ) (5 ) 2006 COE 38 (18 ) (1) (3) (2) 6 3 1 2 3 8 Taluk 50 400 3 400 2006 1 4 400 144 241 A. B. 15 C. D. E. 4 F. 53 2 G. H. I. 9 2004 10 2005 4 2005 5 2005 7 2005 6 4 Nakata, 400 5 Sawada, and Tanaka 2010 21 3 Scott (2000) 3 2004 10 1 Zeldes (1989) t Zeldes (1989) t+1 t ct u( ) A A 0 Max E t { C t , St } T t k k =0 u (ct k ) s.t . At At 1 (1 rt At 0, A0 g i v e n AT 0, (1) rt t t 1 1 ) yt ct t+1 yt t Et t Eswaran and Kotwal (1989), Morduch (1994), Besley (1995), Fafchamps (2003), Dercon ed. (2005), Lee and Sawada (2010) 2 A 0 Zeldes (1989) (1) : (2) u' (ct ) E t u' (ct 1 )(1 rt t ) t CRRA e (3) log cit 1 log cit 1 1 . log(1 it log(1 rit ' ) log(1 eit ) it ) log i 4 (3) 3 1 2 189,000Rs 218,000Rs (3) 5 5 2 3 2 1 5 2 NGO 3 500 NGO First order stochastic dominance 3 5 500 2(e) 2(d) 7 6 3 2 200 5. 6 2004 12 3 6 (VII) (VIII) (IX) 3 Lee (1982) 6 (VII) (VIII) (IX) NGO 500 NGO Umetsu, et. al, 2010 1 oufias (2003) Sawada (2007), 2010) Sk (2004, 2006, 2 Horwich, 2000 Deaton (1997) money metric ut ility( 3 Two sample Kolmogorov-Smirnov ( 3(d)) NGO Development 35(5), 835-856. Deaton, Angus (1997), The Analysis of Household Surveys: A Microeconometric Approach to Development Policy, Oxford University Press. Dercon, Stefan ed., (2005). "Insurance against Poverty," Oxford University Press. DiNardo, John (2008), "Natural experiments and quasi-natural experiments." Steven N. Durlauf and Lawrence E. Blume, eds., the New Palgrave Dictionary of Economics, Second Edition. Palgrave Macmillan. E (2001) (2005) (2005) 2004 , 2004 11 5 . (2006) No, 124, 2006 1 , 4-7. 2010 2010 . (2005) (2008) . 2003 . Aldrich, Daniel P. (2011), The Externalities of Strong Social Capital: Post-Tsunami Recovery in Southeast India, forthcoming, Journal of Civil Society. Insurance, in Jere Behrman and T. N. Srinivasan, eds., Handbook of Development Economics Volume 3A, North-Holland, Sections 4.5, 4.6, and 4.7 Camerer, Colin F. and Howard Kunreuther Journal of Policy Analysis and Management 8(4), 565-592. Carter, Michael R., Peter D. Little, Tewodaj Mogues and Workneh Negatu (2007), erty Traps and Natural Disasters in of Development Economics 31, 37-53. Fafchamps, Marcel. (2003). Rural Poverty, Risk and Development, Edward Elgar. Froot, Kenneth A., ed. (1999), The Financing of Catastrophe Risk, National Bureau of Economic Research Project Report, University of Chicago Press. Gitter, Seth and Bradford Barham (2007), "Credit, Natural Disasters, Coffee and Educational Attainment in Rural Honduras" World Development 35(3), 498-511. Hirshl Recovery: The Black Death in Western RM-4700-TAB, Feb, 1-31. Horwich, George (2000). "Economic Lessons from Kobe Earthquake." Economic Development and Cultural Change 48, pp. 521-542. from Natural Disasters: The Role of Review of Economics and Statistics 87(2), 271-284. Kohara, Miki, Fumio Ohtake, and Makato Saito, (2006) Earthquake on Household Consumption: A Hitotsubashi Journal of Economics 47(2): 219 28. Kunreuther, Howard, Ralph Ginsberg, L. Miller, Phillip Sagi, Paul Solvic, B. Borkan, and N. Katz (1978), Disaster Insurance Protection: Public Policy Lessons, New York: Wiley. Kunreuther, Howard and Adam Rose eds. (2004). The Economics of Natural Hazards I and II, The International Library of Critical Writings in Economics 178, Edward Elgar Publishers, Inc. Lee, L-F. (1982), Economic Studies 49:355-372. Saving under Liquidity Constraints: Evidence from Rural Pakistan (with JeongEconomics, 91(1), 77-86, 2010 84, 221-225. Nakata, Hiroyuki, Yasuyuki Sawada, and Mari Asking Retrospective Questions in Household Surveys: Evidence from Vietnam RIETI Discussion Paper 10E-008. Rodriguez, S., Balasubramanian, G., Shiny, M. P. , Mohanambigai, D. and Jaiprakash, P. (2008). Beyond the Tsunami: Community Perceptions of Resources, Policy and Development, Post-Tsunami Interventions and Community Institutions. UNDP/UNTRS, Chennai and ATREE, Bangalore, India. eveloping Countries: Lessons from 15 y ears of the Living Standards Measureme nt Study. World Bank, Washington, D.C. Shoji, Masahiro (2010). "Does Contingent Repayment in Microfinance Help the Poor Development Studies 46(2), 191-210. Disasters Promote LongEconomic Inquiry 40:4 (2002), 664 687. and Natural Disasters: Coping Strategies Development 31(7), 1087-1102 . Strömberg, David (2007). "Natural Disasters, Economic Development, and Humanitarian Aid." Journal of Economic Perspectives, 21(3): 199 222. Takasaki, Yoshito, Barham, Bradford L., and strategies in tropical forests: floods, Environment and Development Economics 9(2), 203-224. Natural and Manmade Disasters on Economics 37 (s1), 59-73. Sawada, Yasuyuki, Rima Bhattacharyay, and Tomoaki Kotera (2010), Aggregate Impacts of Natural and Manmade Disasters: A Quantitative Comparison, forthcoming, RIETI Discussion Paper. Sawada, Yasuyuki and Satoshi Shimizutani Natural Disasters: Evidence from the Great Hanshin-Awaji Applied Economics Letters 14(4), 303 6. Sawada, Yasuyuki and Satoshi Shimizutani Disasters? Evidence from the Great Hanshin-Awaji (Kobe) Earthquake in Banking 40(2 3): 463 88. Grosh and Paul Glewwe, eds., Designing Household Survey Questionnaires for D 539-591. Toya, Hideki and Mark Skidmore (2007), "Economic development and the impacts of natural disasters," Economics Letters 94(1), 20-25. Umetsu, Chieko, Thamana Lekprichakul, K. Palanisami, M. Shathasheela, and Takashi Kume, Resilience of Tsunami Affected Households in Coastal Region of Tamil Nadu, India, paper presented at a conference, The Indian Ocean Tsunami: 5 Years Later, Assessing the Vulnerability and Resilience of Tsunami Affected Coastal Regions, on 1-3 March 2010, Hotel Grand Pacific, Singapore Zeldes, Stephen P. (1989). "Consumption and Liquidity Constraints: An Empirical Investigation." Journal of Political Economy 97(2), 305-346. 1 (km) (1000Rs) Lowess smoother 400 600 800 200 Daily labor income 400 600 Lowess smoother 0 0 Asset holdings (Lowess Estimation) (km) (Rs) (b) 200 (a) 0 .5 1 1.5 km from original residence to coastal line 2 0 bandwidth = .8 .5 1 1.5 km from original residence to coastal line 2 (Lowess (a) ( ) ( ) Lowess smoother 1 .2 .4 1 if member(s) died .6 .8 1 .8 .6 .4 0 .2 0 0 .5 1 1.5 km from original residence to coastal line 0 2 .5 1 1.5 km from original residence to coastal line 2 bandwidth = .8 bandwidth = .8 (c) ( ) (d) ( Lowess smoother ) .8 .6 .4 .2 0 .2 .4 .6 .8 1 if damage to agricultural land 1 1 Lowess smoother 0 0 .5 1 1.5 km from original residence to coastal line 2 0 bandwidth = .8 .5 1 1.5 km from original residence to coastal line bandwidth = .8 NGO ( Rs) Lowess smoother 0 500 1000 1500 2000 2500 (e) Amount of relief per day 1 if damage to a boat(s) ) (b) Lowess smoother 1 if damage to house or utensils 2 bandwidth = .8 0 bandwidth = .8 .5 1 1.5 km from original residence to coastal line 2 2 3 ( ( K olmogorov-Smirnov (b) 0 0 .2 .2 .4 .4 .6 .6 .8 .8 1 1 (a) ) ) 0 2000 4000 Relief 6000 Damaged 8000 0 10000 2000 4000 Relief 6000 Damaged NoDamage 10000 NoDamage (d) 0 0 .2 .2 .4 .4 .6 .6 .8 .8 1 1 (c) 8000 0 2000 4000 Relief Damaged 6000 8000 NoDamage 10000 0 2000 4000 Relief Damaged 6000 8000 NoDamage 10000 1 * * * * * * 7 301 106 N.K. 7 N.K. 51.8 7 187 170 1616 2 157417 50.8 2 33 428 N.K. 81 30000 94.7 13 376 7921 3324 N.K. 433048 801.3 29 935 10380 5602 12098 631994 998.6 88.6 117.8 107.3 2105.3 2469.8 1.99 19.59 3.70 40.53 65.81 1.80 8.70 4.59 82.27 97.36 481 13,042 10,061 130,000 ) 153,585 (crore Rs.) ** (crore Rs.) ** (crore Rs.)** (crore Rs.)** ** * 2005 1 5 Post Tsunami Recovery Program Preliminary Damage and Needs Assessment. 2 Chennai Cuddalore Kancheepuram Kanyakumari Nagapattinum Pudukkottai Ramanathapuram Thanjavur Thiruvallur Thiruvarur Tirunelveli Tuticorin Villupuram 73000 99704 100000 187650 196184 66350 0 29278 15600 0 27948 110610 78240 984564 17805 206 55 15200 617 198 7043 129 14 31175 828 727 39941 6065 1922 1 15 0 6 6 0 3 33 482 4143 29 0 0 28 0 630 4 4 735 3 0 9500 47 30 126182 8010 3432 www.tn.gov.in/tsunami 3 Sathangudi (Tharangambadi) Poompugar (Sirkali) Vellapallam (vedaranyam), Vilunthamavadi(Kilvelur) Pudukuppam (Sirkali) Chinnangudi (Tharangambadi) Southpoigainallur (Nagai) Prathamaramapuram (Vedaranyam), Periyakuthagai (Vedaranyam) Kameswaram (Kilvelur) Manian Theevu (Vedaranyam) Vanagiri (Sirkali) Melmooverkarai (Sirkali), Thalampettai(Tharangambadi) Palpannaicheri (Nagai) Vairavankadu(Kilvelur), koolaiyar (Sirkali), Thirmullaivasal (Sirkali) 4 2004 10 2005 4 (Rs. ) (Rs. ) (Rs. ) (1000Rs) (1000Rs) (1000 Rs.) (Adult equivalent scale) (km) 71.95 (34.07) 0.73 (1.93) 20.89 (52.14) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.11 (2.25) 211.66 (484.53) 3.48 (1.20) 0.29 (0.45) 0.37 (0.48) 0.95 (0.48) 33.62 (24.99) 157.04 (434.05) 11.18 (57.44) 0.21 (0.41) 0.05 (0.22) 13.66 (43.58) 59.74 (411.34) 123.36 (127.03) 3.44 (1.18) 2005 5 2005 6 56.39 (25.67) 171.32 (773.20) 18.25 (55.57) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 122.39 (127.26) 3.44 (1.18) Townsend (1994) 2005 7 71.05 (34.64) 49.65 (188.04) 22.87 (60.19) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 122.36 (127.29) 3.44 (1.18) 5 2 3 4 2 3 4 (1) (2) (3) (4) -30.0567*** (5.299) -3.4447 (6.353) 2.5189 (5.419) 21.4616*** (4.484) 0.8457 (5.110) -0.5730 (4.289) 20.8895*** (1.298) 457.7467*** (93.233) 666.5781*** (144.552) 52.2885 (70.710) -317.8788*** (73.818) -523.0359*** (117.138) -3.5526 (57.486) 0.7267 (12.337) 427.6900*** (94.015) 663.1334*** (146.950) 54.8073 (72.888) -296.4172*** (74.377) -522.1902*** (119.043) -4.1256 (59.134) 21.6163* (12.760) -1.8224*** (0.100) -0.4513*** (0.060) -0.0011 (0.064) 0.8964*** (0.079) 0.2357*** (0.048) -0.0170 (0.052) 4.1695*** (0.017) 1,600 0.046 400 1,600 0.106 400 1,600 0.099 400 1,600 0.544 400 Robust standard errors in parentheses.*** p<0.01, ** p<0.05, * p<0.1 6 OLS (I) -0.0055 (0.019) (1000Rs) (1000Rs) (1000Rs) (1000Rs) (1000Rs) 2 3 4 OLS (II) OLS (III) -0.0125 (0.041) -0.1805 (0.296) -0.4514 (0.615) -0.0114*** (0.002) 0.0005* (0.000) -0.4454* (0.198) 0.0001 (0.000) 0.0008 (0.001) -0.0003 (0.000) 0.2107 (0.191) 0.0161 (0.010) 1.5145** (0.604) 0.9939* (0.466) 0.0000 (0.000) -0.7550** (0.278) -0.1365 (0.153) -0.4816 (0.534) -0.0114*** (0.002) 0.0005* (0.000) -0.4289*** (0.123) 0.0001 (0.000) 0.0008 (0.001) -0.0003 (0.000) 0.2228 (0.176) 0.0164 (0.009) 1.5672** (0.604) 1.0652* (0.547) 0.0000 (0.000) -0.8301** (0.313) -0.0121 (0.041) -0.0085 (0.031) -0.1524 (0.134) -0.4622 (0.487) -0.0113*** (0.002) 0.0006* (0.000) -0.4161** (0.131) 0.0001 (0.000) 0.0008 (0.001) -0.0003 (0.000) 0.2079 (0.152) 0.0164 (0.009) 1.4854* (0.690) 1.0061 (0.672) 0.0000 (0.000) -0.7588* (0.394) 1,200 0.547 1,200 0.548 1,200 0.549 Robust standard errors in parentheses.*** p<0.01, ** p<0.05, * p<0.1 200 IV (IV) 0.0056 (0.050) IV (V) IV (VI) 0.0415 (0.079) -0.0461 (0.199) 2.8868** (0.875) -0.0550** (0.016) 0.0067 (0.004) -9.8879* (4.559) -0.0021** (0.001) 0.0408** (0.014) -0.0065 (0.004) -0.0305 (0.253) 0.1879 (0.105) 1.2446** (0.484) 0.8032* (0.403) 0.0000 (0.000) -0.8069 (0.962) 723 -0.1890 (0.278) 1.5503* (0.766) -0.0412** (0.015) 0.0012 (0.002) -7.5477*** (2.083) 0.0003 (0.001) 0.0173** (0.006) -0.0009 (0.002) 0.0470 (0.217) 0.1153* (0.052) 1.4623* (0.723) 0.8992 (0.549) 0.0000 (0.000) -1.0387*** (0.281) -0.3581 (0.251) 1.9804* (0.849) -0.0416** (0.016) 0.0013 (0.002) -8.8051** (3.138) 0.0002 (0.001) 0.0175** (0.006) -0.0011 (0.001) -0.0107 (0.218) 0.1267* (0.059) 1.3936** (0.584) 0.7196 (0.665) 0.0000 (0.000) -0.8752 (0.466) 0.0396 (0.094) 0.0139 (0.079) -0.3260 (0.387) 1.8887 (1.109) -0.0415** (0.015) 0.0010 (0.002) -8.7151** (3.453) 0.0001 (0.001) 0.0174** (0.006) -0.0007 (0.003) 0.0260 (0.292) 0.1252* (0.063) 1.5229 (1.057) 0.8160 (1.124) 0.0000 (0.000) -0.9932 (0.895) 1,200 1,200 1,200 IV (VII) 0.0003 (0.034) IV (VIII) IV (IX) 0.0321 (0.045) -0.1725 (0.141) 3.3687** (1.371) -0.0571** (0.016) 0.0067 (0.005) -11.0959 (6.209) -0.0022** (0.001) 0.0421** (0.015) -0.0065 (0.005) -0.0909 (0.298) 0.2050* (0.105) 1.2292** (0.409) 0.6790 (0.455) 0.0000 (0.000) -0.7880 (1.017) 0.0503 (0.058) -0.0262 (0.057) -0.2632 (0.141) 3.9253 (2.133) -0.0615** (0.021) 0.0075 (0.004) -12.0975 (7.655) -0.0022** (0.001) 0.0450* (0.019) -0.0072 (0.004) -0.2106 (0.421) 0.2264 (0.136) 0.9891 (0.759) 0.4301 (0.823) 0.0000 (0.000) -0.8602 (1.064) 723 723 7 O LS * 2 * 3 * 4 * 2 * 3 * 4 2 3 4 * 2 * 3 * 4 * 2 * 3 * 4 139.4090** (55.931) -68.0066 (158.022) -147.5235*** (39.556) 952.6337*** (257.110) 1,027.0911** (481.339) 28.6903 (73.767) 244.3629** (96.495) 330.4664 (256.702) 271.5623*** (66.814) 4.8020 (23.956) -149.8482*** (54.257) -35.7180** (15.071) 41.2726* (24.032) 163.2672*** (55.055) 59.2580*** (15.151) 0.7267*** (0.097) 1,600 0.235 Robust standard errors in parentheses.*** p<0.01, ** p<0.05, * p<0.1
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