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Do Smaller States Lead to More Development? Evidence from Splitting of Large States in India

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  • Ray, M.
  • Maredia, M.

Abstract

Struggles for greater autonomy or more homogenous jurisdictions within a federal system has been a consistent phenomenon of the current nation states. However, there remains very little rigorous evidence of more autonomy and homogenous jurisdiction on development outcomes. Creation of three new states in India in the year 2000 allows us to test these development hypotheses. As states are the proximate determinants of local institutions driving development outcomes, a change in their boundaries provides us an opportunity to evaluate the impact of these shifts on the provision of public goods and distribution of development outcomes. We use quasi-experimental methods like difference in difference with parent state as comparison and newly formed state as treatment, alternatively we consider both the split states as two treatments with nearby states as comparison. Further, we use geographic discontinuity across the newly formed borders to show that districts in the newly created states are doing better on development indicators after splitting from their parent state. Acknowledgement :

Suggested Citation

  • Ray, M. & Maredia, M., 2018. "Do Smaller States Lead to More Development? Evidence from Splitting of Large States in India," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277181, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae18:277181
    DOI: 10.22004/ag.econ.277181
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    1. Christopher B. Barrett & Christine M. Moser & Oloro V. McHugh & Joeli Barison, 2004. "Better Technology, Better Plots, or Better Farmers? Identifying Changes in Productivity and Risk among Malagasy Rice Farmers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 869-888.
    2. David S. Lee & Thomas Lemieux, 2009. "Regression Discontinuity Designs In Economics," Working Papers 1118, Princeton University, Department of Economics, Industrial Relations Section..
    3. Shapiro, B.I. & Brorsen, B.Wade & Doster, D. Howard, 1992. "Adoption of Double-Cropping Soybeans and Wheat," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 24(2), pages 33-40, December.
    4. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    5. Hans P. Binswanger, 1980. "Attitudes Toward Risk: Experimental Measurement in Rural India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(3), pages 395-407.
    6. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    7. Quang Nguyen & Colin Camerer & Tomomi Tanaka, 2010. "Risk and Time Preferences Linking Experimental and Household Data from Vietnam," Post-Print halshs-00547090, HAL.
    8. Tavneet Suri, 2011. "Selection and Comparative Advantage in Technology Adoption," Econometrica, Econometric Society, vol. 79(1), pages 159-209, January.
    9. Feder, Gershon, 1980. "Farm Size, Risk Aversion and the Adoption of New Technology under Uncertainty," Oxford Economic Papers, Oxford University Press, vol. 32(2), pages 263-283, July.
    10. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
    11. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    12. Elaine M. Liu, 2013. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1386-1403, October.
    13. Munshi, Kaivan, 2004. "Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution," Journal of Development Economics, Elsevier, vol. 73(1), pages 185-213, February.
    14. Patrick S. Ward & Vartika Singh, 2015. "Using Field Experiments to Elicit Risk and Ambiguity Preferences: Behavioural Factors and the Adoption of New Agricultural Technologies in Rural India," Journal of Development Studies, Taylor & Francis Journals, vol. 51(6), pages 707-724, June.
    15. Awudu Abdulai & Wallace Huffman, 2014. "The Adoption and Impact of Soil and Water Conservation Technology: An Endogenous Switching Regression Application," Land Economics, University of Wisconsin Press, vol. 90(1), pages 26-43.
    16. Tomomi Tanaka & Colin F. Camerer & Quang Nguyen, 2010. "Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam," American Economic Review, American Economic Association, vol. 100(1), pages 557-571, March.
    17. McInish, Thomas H & Ramaswami, Sridhar N & Srivastava, Rajendra K, 1993. "Do More Risk-Averse Investors Have Lower Net Worth and Income?," The Financial Review, Eastern Finance Association, vol. 28(1), pages 91-106, February.
    18. Derek Byerlee & Edith Hesse de Polanco, 1986. "Farmers' Stepwise Adoption of Technological Packages: Evidence from the Mexican Altiplano," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(3), pages 519-527.
    19. Abhijit V. Banerjee & Paul J. Gertler & Maitreesh Ghatak, 2002. "Empowerment and Efficiency: Tenancy Reform in West Bengal," Journal of Political Economy, University of Chicago Press, vol. 110(2), pages 239-280, April.
    20. Holden, Stein T., 2015. "Risk Preferences, Shocks and Technology Adoption: Farmers’ Responses to Drought Risk," CLTS Working Papers 3/15, Norwegian University of Life Sciences, Centre for Land Tenure Studies, revised 11 Oct 2019.
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