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

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  • Khong, Tien Dung
  • Pede, Valerien O.
  • Sumalde, Zenaida M.
  • McKinley, Justin D.
  • Mohanty, Samarendu

Abstract

This study aimed to evaluate the technical efficiency of farmers engaged in rice-wheat cropping systems in India using Resource Conserving Technologies (RCTs) such as zero-tillage and direct seeding, under the intervention of the Cereal Systems Initiative for South Asia (CSISA) project primarily funded by the Bill and Melinda Gates Foundation. The goal of the project is to alleviate hunger and malnutrition as well as increase income and food security for poor farmers living in South Asia. The Resource Conserving Technologies (RCTs) are being promoted as part of conservation agriculture supported by the project. These technologies are designed to reduce the strain agricultural production has on two critical natural resources: water and soil. The RCT technologies are being promoted by the CSISA project in several locations in India, and the main ones are direct seeded rice, reduced-tillage, and zero-tillage. The farmers participating in the study are part of the CSISA project and are located in Eastern Uttar-Pradesh and Bihar in Northeastern India. The data used in this study was derived from a socio-economic survey conducted in these two regions during the Kharif season of 2009 and Rabi season of 2010. A Stochastic frontier Analysis, using the Cobb-Douglas or Translog function form, was performed to investigate and compare the determinants of technical efficiency among farmers receiving intervention and those who are not. Farmers receiving intervention from the CSISA project tend to be more technically efficient than those without intervention.

Suggested Citation

  • Khong, Tien Dung & Pede, Valerien O. & Sumalde, Zenaida M. & McKinley, Justin D. & Mohanty, Samarendu, 2011. "Technical Efficiency of Resource Conserving Technologies in Rice Wheat Systems: Case of Bihar and Eastern Uttar Pradesh in India," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103652, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea11:103652
    DOI: 10.22004/ag.econ.103652
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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, January.
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    1. 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 01), March.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

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    Keywords

    Agricultural and Food Policy; Crop Production/Industries; Food Security and Poverty; International Development; Production Economics; Productivity Analysis;
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