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Understanding the geographic pattern of diffusion of modern crop varieties in India: a multilevel modeling approach

Author

Listed:
  • Anjani Kumar

    (International Food Policy Research Institute (IFPRI))

  • Jaweriah Hazrana

    (ICAR–National Institute of Agricultural Economics and Policy Research)

  • Digvijay S. Negi

    (Indira Gandhi Institute of Development Research (IGIDR))

  • Pratap S. Birthal

    (ICAR–National Institute of Agricultural Economics and Policy Research)

  • Gaurav Tripathi

    (International Food Policy Research Institute (IFPRI))

Abstract

The diffusion of agricultural technologies is influenced by a number of factors, including the farm-, household- and location-specific characteristics, institutions, infrastructures, and agri-food policies. The empirical literature, however, focuses largely on the household-level factors, ignoring the higher-level factors that simultaneously may influence the technology diffusion process. Employing a multilevel modeling approach this paper analyzes the mutually reinforcing and reciprocal relationships between people (compositional effects) and places (contextual effects) to know the relative importance of different geographical or administrative levels in the diffusion of modern crop varieties in India. The findings show strong contextual effects of states (i.e., policies) and also equally strong compositional effects of the between household differences. These findings suggest the need for a greater policy emphasis on agricultural research and dissemination of its outputs, and redressal of the constraints that farmers face in switching over to new technologies and innovations. Further, the findings also suggest that relaxing credit and information constraints will accelerate the spread of technology diffusion. The contextual effects of the intermediate geographical levels are small, and point towards strengthening coordination between different geographical levels for faster dissemination of technologies and subsequent realization of their economic and social outcomes.

Suggested Citation

  • Anjani Kumar & Jaweriah Hazrana & Digvijay S. Negi & Pratap S. Birthal & Gaurav Tripathi, 2021. "Understanding the geographic pattern of diffusion of modern crop varieties in India: a multilevel modeling approach," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(3), pages 637-651, June.
  • Handle: RePEc:spr:ssefpa:v:13:y:2021:i:3:d:10.1007_s12571-020-01114-y
    DOI: 10.1007/s12571-020-01114-y
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    1. Birthal, Pratap S. & Hazrana, Jaweriah & Negi, Digvijay S., 2020. "Diversification in Indian agriculture towards high value crops: Multilevel determinants and policy implications," Land Use Policy, Elsevier, vol. 91(C).
    2. Singh, R.K.P. & Singh, K.M. & Kumar, Abhay, 2014. "A Study on Adoption of Modern Agricultural Technologies at Farm Level in Bihar," MPRA Paper 73831, University Library of Munich, Germany, revised 23 Mar 2014.
    3. 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.
    4. M. Shahe Emran & Forhad Shilpi, 2012. "The extent of the market and stages of agricultural specialization," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 45(3), pages 1125-1153, August.
    5. Gibson, John & Datt, Gaurav & Murgai, Rinku & Ravallion, Martin, 2017. "For India’s Rural Poor, Growing Towns Matter More Than Growing Cities," World Development, Elsevier, vol. 98(C), pages 413-429.
    6. Simtowe, Franklin & Kassie, Menale & Diagne, Aliou & Asfaw, Solomon & Shiferaw, Bekele & Silim, Said & Muange, Elijah, 2011. "Determinants of Agricultural Technology Adoption: The Case of Improved Pigeonpea Varieties in Tanzania," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 50(4), pages 1-21.
    7. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    8. Kim, Rockli & Mohanty, Sanjay K. & Subramanian, S.V., 2016. "Multilevel Geographies of Poverty in India," World Development, Elsevier, vol. 87(C), pages 349-359.
    9. Pratap S. Birthal & Shiv Kumar & Digvijay S. Negi & Devesh Roy, 2015. "The impacts of information on returns from farming: evidence from a nationally representative farm survey in India," Agricultural Economics, International Association of Agricultural Economists, vol. 46(4), pages 549-561, July.
    10. Mariano, Marc Jim & Villano, Renato & Fleming, Euan, 2012. "Factors influencing farmers’ adoption of modern rice technologies and good management practices in the Philippines," Agricultural Systems, Elsevier, vol. 110(C), pages 41-53.
    11. Marcel Fafchamps & Forhad Shilpi, 2003. "The spatial division of labour in Nepal," Journal of Development Studies, Taylor & Francis Journals, vol. 39(6), pages 23-66.
    12. Le Zhang & Chuanqing Liao & Huan Zhang & Xiaobo Hua, 2018. "Multilevel Modeling of Rural Livelihood Strategies from Peasant to Village Level in Henan Province, China," Sustainability, MDPI, vol. 10(9), pages 1-13, August.
    13. Barrett, Christopher B. & Bachke, Maren E. & Bellemare, Marc F. & Michelson, Hope C. & Narayanan, Sudha & Walker, Thomas F., 2012. "Smallholder Participation in Contract Farming: Comparative Evidence from Five Countries," World Development, Elsevier, vol. 40(4), pages 715-730.
    14. Pratap S. Birthal & Jaweriah Hazrana & Digvijay S. Negi, 2019. "A multilevel analysis of drought risk in Indian agriculture: implications for managing risk at different geographical levels," Climatic Change, Springer, vol. 157(3), pages 499-513, December.
    15. M. Shahe Emran & Zhaoyang Hou, 2013. "Access to Markets and Rural Poverty: Evidence from Household Consumption in China," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 682-697, May.
    16. Ajay Sharma, 2016. "Urban Proximity and Spatial Pattern of Land Use and Development in Rural India," Journal of Development Studies, Taylor & Francis Journals, vol. 52(11), pages 1593-1611, November.
    17. Noltze, Martin & Schwarze, Stefan & Qaim, Matin, 2012. "Understanding the adoption of system technologies in smallholder agriculture: The system of rice intensification (SRI) in Timor Leste," Agricultural Systems, Elsevier, vol. 108(C), pages 64-73.
    18. Overmars, Koen P. & Verburg, Peter H., 2006. "Multilevel modelling of land use from field to village level in the Philippines," Agricultural Systems, Elsevier, vol. 89(2-3), pages 435-456, September.
    19. Deichmann, Uwe & Shilpi, Forhad & Vakis, Renos, 2009. "Urban Proximity, Agricultural Potential and Rural Non-farm Employment: Evidence from Bangladesh," World Development, Elsevier, vol. 37(3), pages 645-660, March.
    20. Narayanamoorthy, A., 2000. "Farmers' Education and Productivity of Crops: A New Approach," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 55(3), September.
    21. Sudha Narayanan, 2014. "Geography Matters: Evidence And Implications Of Spatial Selection In Contract Farming Schemes In Southern India," World Scientific Book Chapters, in: Ralph D Christy & Carlos A da Silva & Nomathemba Mhlanga & Edward Mabaya & Krisztina Tihanyi (ed.), INNOVATIVE INSTITUTIONS, PUBLIC POLICIES AND PRIVATE STRATEGIES FOR AGRO-ENTERPRISE DEVELOPMENT, chapter 4, pages 87-111, World Scientific Publishing Co. Pte. Ltd..
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