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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

Author

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

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.

Suggested Citation

  • Rodriguez, Divina Gracia P. & Rejesus, Roderick M. & Aragon, Corazono T., 2007. "Impacts of an Agricultural Development Program for Poor Coconut Producers in the Philippines: An Approach Using Panel Data and Propensity Score Matching Techniques," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(3), pages 1-24, December.
    • Handle: RePEc:ags:jlaare:7081
    DOI: 10.22004/ag.econ.7081
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    References listed on IDEAS

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    Cited by:

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    2. Boris Bravo-Ureta & William Greene & Daniel Solís, 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.
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    4. Ho Ngoc Ninh & Corazon T. Aragon & Florencia G. Palis & Roderick M. Rejesus & Grant R. Singleton, 2016. "Yield and Income Effects of Ecologically-based Rodent Management in Mekong River Delta, Vietnam," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 13(2), pages 55-74, December.
    5. Boris E. Bravo‐Ureta & Mario González‐Flores & William Greene & Daniel Solís, 2021. "Technology and Technical Efficiency Change: Evidence from a Difference in Differences Selectivity Corrected Stochastic Production Frontier Model," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 362-385, January.
    6. 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.
    7. Yorobe, Jose Jr & Pede, Valerien & Rejesus, Roderick & Velarde, Orlee & Wang, Huaiyu & Ali, Jauhar, 2014. "Yield and Income Effects of the Green Super Rice (GSR) Varieties: Evidence from a Fixed-Effects Model in the Philippines," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169635, Agricultural and Applied Economics Association.
    8. Oñate, Carlos Andrés & Ozaki, Vitor Augusto & Bravo-Ureta, Boris, "undated". "Impact Evaluation of the Brazilian crop insurance public program “Proagro Mais”," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236096, Agricultural and Applied Economics Association.
    9. Soumi Chandra & Roderick M. Rejesus & Jose M. Yorobe, 2026. "Effects of Alternate Wetting and Drying on Water Savings and Rice Yields in The Philippines," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 70(1), pages 147-164, January.
    10. Federico Davila, 2020. "Human ecology and food discourses in a smallholder agricultural system in Leyte, The Philippines," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 37(3), pages 719-741, September.

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