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Impacts of an Agricultural Development Program for Poor Coconut Producers in the Philippines: An Approach Using Panel Data and Propensity Score Matching Techniques

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  • Rodriguez, Divina Gracia P.
  • Rejesus, Roderick M.
  • Aragon, Corazono T.
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    Abstract

    Using panel data econometric techniques and propensity score matching procedures, this study evaluates the impact of the MAUNLAD agricultural development program - a program designed to help alleviate poverty in Philippine coconut-producing communities. Our results indicate that the program had a significant positive mean effect on the recipients' total net farm income. Moreover, the probability of being in poverty is shown to decrease when a poor coconut producer participates in the program. The program's emphasis on training, intercropping, and livestock integration, as well as the more participatory approach taken, contributed to the strong positive impact of the program.

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    File URL: http://purl.umn.edu/7081
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    Bibliographic Info

    Article provided by Western Agricultural Economics Association in its journal Journal of Agricultural and Resource Economics.

    Volume (Year): 32 (2007)
    Issue (Month): 03 (December)
    Pages:

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    Handle: RePEc:ags:jlaare:7081

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    Web page: http://waeaonline.org/
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    Related research

    Keywords: coconut farmers; panel data econometric techniques; poverty alleviation program; propensity score matching (PSM); Crop Production/Industries; International Development;

    References

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    1. Barbara Sianesi, 2001. "Propensity score matching," United Kingdom Stata Users' Group Meetings 2001 12, Stata Users Group, revised 23 Aug 2001.
    2. Heckman, James J & Ichimura, Hidehiko & Todd, Petra, 1998. "Matching as an Econometric Evaluation Estimator," Review of Economic Studies, Wiley Blackwell, vol. 65(2), pages 261-94, April.
    3. Feder, Gershon & Murgai, Rinku & Quizon, Jaime B., 2003. "Sending farmers back to school - the impact of farmer field schools in Indonesia," Policy Research Working Paper Series 3022, The World Bank.
    4. Jalan, Jyotsna & Ravallion, Martin, 1998. "Are there dynamic gains from a poor-area development program?," Journal of Public Economics, Elsevier, vol. 67(1), pages 65-85, January.
    5. Aragon, Corazon, 2000. "Coconut Program Area Research Planning and Prioritization," Discussion Papers DP 2000-31, Philippine Institute for Development Studies.
    6. Jeffrey Smith & Petra Todd, 2003. "Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?," University of Western Ontario, CIBC Centre for Human Capital and Productivity Working Papers 20035, University of Western Ontario, CIBC Centre for Human Capital and Productivity.
    7. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    8. Paul Schultz, T., 2004. "School subsidies for the poor: evaluating the Mexican Progresa poverty program," Journal of Development Economics, Elsevier, vol. 74(1), pages 199-250, June.
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    Cited by:
    1. Israel, Danilo C. & Briones, Roehlano M., 2014. "Enhancing Supply Chain Connectivity and Competitiveness of ASEAN Agricultural Products: Identifying Choke Points and Opportunities for Improvement," Discussion Papers DP 2014-07, Philippine Institute for Development Studies.
    2. Boris Bravo-Ureta & William Greene & Daniel SolĂ­s, 2012. "Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project," Empirical Economics, Springer, vol. 43(1), pages 55-72, August.
    3. Sanglestsawai, Santi & Rejesus, Roderick M. & Yorobe, Jose M., Jr., 2012. "Production Risk, Farmer Welfare, and Bt Corn in the Philippines," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124237, Agricultural and Applied Economics Association.

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