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Impact of Agricultural Related Technology Adoption on Poverty: A Study of Select Households in Rural India

In: Technology

Author

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  • Santosh K. Sahu

    (Madras School of Economics)

  • Sukanya Das

    (Teri University)

Abstract

This paper applies a program evaluation technique to assess the causal effect of adoption of agricultural related technologies on consumption expenditure and poverty measured by headcount, poverty gap and poverty severity indices. The paper is based on a cross-sectional household level data collected in 2014 from a sample of 270 households in rural India. Sensitivity analysis is conducted to test the robustness of the propensity score based results using the “rbounds test” and the mean absolute standardized bias between adopters and non-adopters. The analysis reveals robust, positive and significant impacts of agricultural related technologies adoption on per capita consumption expenditure and on poverty reduction for the sample households in rural India.

Suggested Citation

  • Santosh K. Sahu & Sukanya Das, 2016. "Impact of Agricultural Related Technology Adoption on Poverty: A Study of Select Households in Rural India," India Studies in Business and Economics, in: N.S. Siddharthan & K. Narayanan (ed.), Technology, pages 141-156, Springer.
    • Handle: RePEc:spr:isbchp:978-981-10-1684-4_8
    DOI: 10.1007/978-981-10-1684-4_8
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    1. Bellon, Mauricio R. & Adato, Michelle & Becerril, Javier & Mindek, Dubravka, 2006. "Poor farmers' perceived benefits from different types of maize germplasm: The case of creolization in lowland tropical Mexico," World Development, Elsevier, vol. 34(1), pages 113-129, January.
    2. Paul Winters & Alain De Janvry & Elisabeth Sadoulet & Kostas Stamoulis, 1998. "The role of agriculture in economic development: Visible and invisible surplus transfers," Journal of Development Studies, Taylor & Francis Journals, vol. 34(5), pages 71-97.
    3. Binswanger, Hans P & von Braun, Joachim, 1991. "Technological Change and Commercialization in Agriculture: The Effect on the Poor," The World Bank Research Observer, World Bank, vol. 6(1), pages 57-80, January.
    4. Mendola, Mariapia, 2007. "Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh," Food Policy, Elsevier, vol. 32(3), pages 372-393, June.
    5. A. de Janvry & E. Sadoulet, 2002. "World Poverty and the Role of Agricultural Technology: Direct and Indirect Effects," Journal of Development Studies, Taylor & Francis Journals, vol. 38(4), pages 1-26.
    6. Mwangi, Wilfred & Mwabu, Germano & Nyangito, Hezron Omare, 2006. "Does Adoption of Improved Maize Varieties Reduce Poverty? Evidence from Kenya," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25376, International Association of Agricultural Economists.
    7. Kassie, Menale & Shiferaw, Bekele & Muricho, Geoffrey, 2011. "Agricultural Technology, Crop Income, and Poverty Alleviation in Uganda," World Development, Elsevier, vol. 39(10), pages 1784-1795.
    8. Karanja, D. D. & Renkow, M. & Crawford, E. W., 2003. "Welfare effects of maize technologies in marginal and high potential regions of Kenya," Agricultural Economics, Blackwell, vol. 29(3), pages 331-341, December.
    9. Akhter Ali & Awudu Abdulai, 2010. "The Adoption of Genetically Modified Cotton and Poverty Reduction in Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(1), pages 175-192, February.
    10. Becerril, Javier & Abdulai, Awudu, 2010. "The Impact of Improved Maize Varieties on Poverty in Mexico: A Propensity Score-Matching Approach," World Development, Elsevier, vol. 38(7), pages 1024-1035, July.
    11. Just, Richard E. & Zilberman, David, 1988. "The effects of agricultural development policies on income distribution and technological change in agriculture," Journal of Development Economics, Elsevier, vol. 28(2), pages 193-216, March.
    12. Yoko Kijima & Keijiro Otsuka & Dick Sserunkuuma, 2008. "Assessing the impact of NERICA on income and poverty in central and western Uganda," Agricultural Economics, International Association of Agricultural Economists, vol. 38(3), pages 327-337, May.
    13. Haitao Wu & Shijun Ding & Sushil Pandey & Dayun Tao, 2010. "Assessing the Impact of Agricultural Technology Adoption on Farmers' Well‐being Using Propensity‐Score Matching Analysis in Rural China," Asian Economic Journal, East Asian Economic Association, vol. 24(2), pages 141-160, June.
    14. Minten, Bart & Barrett, Christopher B., 2008. "Agricultural Technology, Productivity, and Poverty in Madagascar," World Development, Elsevier, vol. 36(5), pages 797-822, May.
    15. Ingrid Rhinehart & C. Michael Deom, 2007. "Peanut Research and Poverty Reduction: Impacts of Variety Improvement to Control Peanut Viruses in Uganda," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 448-460.
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    Cited by:

    1. Aynalem Shita & Nand Kumar & Seema Singh, 2021. "Technology, poverty and income distribution nexus: The case of fertilizer adoption in Ethiopia," African Development Review, African Development Bank, vol. 33(4), pages 742-755, December.

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    More about this item

    Keywords

    Agriculture related technology adoption; Propensity score matching; Poverty; Odisha; India;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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