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Technical Efficiency of Resource-Conserving Technologies in Rice -Wheat Systems: The Case of Bihar and Eastern Uttar Pradesh in India

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  • Dung, Khong Tien
  • Sumalde, Zenaida M.
  • Pede, Valerien O.
  • McKinley, Justin D.
  • Garcia, Yolanda T.
  • Bello, Amelia L.

Abstract

This study has evaluated the technical efficiency of farmers engaged in rice-wheat cropping systems in North-eastern India, who are using Resource-Conserving Technologies (RCTs) such as Zero Tillage (ZT) and Direct Seeded Rice (DSR). These technology promotions are being carried out under the intervention of the Cereal Systems Initiative for South Asia (CSISA) project, primarily funded by the Bill and Melinda Gates Foundation. The resource-conserving technologies are being promoted as part of conservation agriculture supported by the project. The data used in this study have been derived from the socioeconomic surveys conducted in Eastern Uttar-Pradesh and Bihar in North-eastern India during the kharif season of 2009 and rabi season of 2010. A stochastic frontier analysis was carried out to investigate and compare the determinants of technical efficiency among the farmers receiving intervention and those who are not. The study has revealed that farmers receiving CSISA intervention have realized higher levels of technical efficiency. Additionally, farmers who are receiving subsidies and farmers who are planting more diversified crops have higher levels of technical efficiency.

Suggested Citation

  • Dung, Khong Tien & Sumalde, Zenaida M. & Pede, Valerien O. & McKinley, Justin D. & Garcia, Yolanda T. & Bello, Amelia L., 2011. "Technical Efficiency of Resource-Conserving Technologies in Rice -Wheat Systems: The Case of Bihar and Eastern Uttar Pradesh in India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 24(2), December.
    • Handle: RePEc:ags:aerrae:118227
    DOI: 10.22004/ag.econ.118227
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    1. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    2. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    3. Battese, George E., 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics, Blackwell, vol. 7(3-4), pages 185-208, October.
    4. Pandey, S. & Mortimer, M. & Wade, L. & Tuong, T.P. & Lopez, K. & Hardy, B., 2002. "Direct Seeding: Research Strategies and Opportunities," IRRI Books, International Rice Research Institute (IRRI), number 281820.
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    1. Basurto Hernandez, Saul & Maddison, David & Banerjee, Anindya, 2018. "The effect of PROCAMPO on farms’ technical efficiency: A Stochastic Frontier Analysis," 2018 Annual Meeting, August 5-7, Washington, D.C. 274376, Agricultural and Applied Economics Association.
    2. Chand, Subhash & Kishore, Prabhat, 2021. "Whether Source of Irrigation Make Difference in Technical Efficiency of Wheat Growers in Canal Command Areas? A Stochastic Frontier Approach," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 0(Number 1), March.
    3. Pede, Valerien O. & McKinley, Justin & Singbo, Alphonse & Kajisa, Kei, 2015. "Spatial Dependency of Technical Efficiency in Rice Farming: The Case of Bohol, Philippines," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205456, Agricultural and Applied Economics Association.
    4. Luis A. De los Santos‐Montero & Boris E. Bravo‐Ureta, 2017. "Productivity effects and natural resource management: econometric evidence from POSAF‐II in Nicaragua," Natural Resources Forum, Blackwell Publishing, vol. 41(4), pages 220-233, November.
    5. Minviel, Jean Joseph & Latruffe, Laure, 2014. "Meta-regression analysis of the impact of agricultural subsidies on farm technical efficiency," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182767, European Association of Agricultural Economists.
    6. Priya Brata Bhoi & Veeresh S. Wali & Deepak Kumar Swain & Kalpana Sharma & Akash Kumar Bhoi & Manlio Bacco & Paolo Barsocchi, 2021. "Input Use Efficiency Management for Paddy Production Systems in India: A Machine Learning Approach," Agriculture, MDPI, vol. 11(9), pages 1-27, August.

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