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Determinants of the Adoption of System of Rice Intesification in Tasikmalaya District, West Java Indonesia

  • Satya Laksana

    (Department of Agriculture Tasikmalaya)

  • Arie Damayanti

    (University of Indonesia)

Registered author(s):

    The System of Rice Intensification (SRI) has been claimed to be more productive and sustainable than conventional methods in rice production. However, in some countries like Indonesia, its adoption rate remains low. This paper explores the factors that may affect SRI adoption in Indonesia, choosing Tasikmalaya district in West Java as a case study. By using a farm-level data, this study estimates the Cobb–Douglas production function and carries out a stochastic frontier analysis to assess whether SRI is technically efficient. It is found that technical efficiency (TE) of SRI and non-SRI is 82% and 64%, respectively, and the summation of factor production coefficient in rice production function is 1.1 indicating a Constant Return to Scale (CRS) technology. Furthermore, using a Probit model, it is found that the most important determinants of SRI adoption are irrigation infrastructure availability and participation in SRI training. Policy implications are discussed.

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    File URL: http://lp3e.fe.unpad.ac.id/wopeds/201306.pdf
    File Function: First version, 2013
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    Paper provided by Department of Economics, Padjadjaran University in its series Working Papers in Economics and Development Studies (WoPEDS) with number 201306.

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    Length: 26 pages
    Date of creation: Mar 2013
    Date of revision: Mar 2013
    Handle: RePEc:unp:wpaper:201306
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    1. Rahman, Sanzidur, 2011. "Resource use efficiency under self-selectivity: the case of Bangladeshi rice producers," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), June.
    2. Ismet, Mohammad & Barkley, Andrew P. & Llewelyn, Richard V., 1998. "Government intervention and market integration in Indonesian rice markets," Agricultural Economics, Blackwell, vol. 19(3), pages 283-295, December.
    3. Nobuhiko Fuwa & Christopher Edmonds & Pabitra Banik, 2007. "Are small-scale rice farmers in eastern India really inefficient? Examining the effects of microtopography on technical efficiency estimates," Agricultural Economics, International Association of Agricultural Economists, vol. 36(3), pages 335-346, 05.
    4. Xu, Xiaosong & Jeffrey, Scott R., 1998. "Efficiency and technical progress in traditional and modern agriculture: evidence from rice production in China," Agricultural Economics, Blackwell, vol. 18(2), pages 157-165, March.
    5. 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.
    6. Schmidt, Peter & Knox Lovell, C. A., 1979. "Estimating technical and allocative inefficiency relative to stochastic production and cost frontiers," Journal of Econometrics, Elsevier, vol. 9(3), pages 343-366, February.
    7. Battese, George E., 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 7(3-4), October.
    8. Xu, Xiaosong & Jeffrey, Scott R., 1998. "Efficiency and technical progress in traditional and modern agriculture: evidence from rice production in China," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 18(2), March.
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