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Do farmers choose to be inefficient? Evidence from Bicol

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  • Larson, Donald F.
  • Plessmann, Frank

Abstract

Farming households that differ in their ability or willingness to take on risks are likely to allocate resources and effort among income producing activities differently with consequences for productivity. In this paper we measure voluntary and involuntary departures from efficiency for rice producing households in the Bicol region of the Philippines. We take advantage of a panel of observations on households from 1978, 1983 and 1994. Available monthly weather data and survey information on planting times allows us to create household specific measures of weather shocks, which we use in our analysis. We find evidence that diversification and input choices do affect efficiency outcomes among farmers, although these effects are not dominant; accumulated wealth, past decisions to invest, favorable market conditions, and propitious weather are also important determinants of efficiency outcomes among Bicol rice farmers. Our findings suggest that the costs of incomplete formal and informal insurance markets are higher for poorer farmers.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Development Economics.

Volume (Year): 90 (2009)
Issue (Month): 1 (September)
Pages: 24-32

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Handle: RePEc:eee:deveco:v:90:y:2009:i:1:p:24-32

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Web page: http://www.elsevier.com/locate/devec

Related research

Keywords: Household choices Diversification Production efficiency Rural livelihoods;

References

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Citations

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Cited by:
  1. Sanjaya DeSilva, 2011. "Access to Markets and Farm Efficiency: A Study of Rice Farms in the Bicol Region, Philippines," Economics Working Paper Archive wp_687, Levy Economics Institute.
  2. Robert J. Utz, 2007. "Sustaining and Sharing Economic Growth in Tanzania : Contents of CD Rom," World Bank Publications, The World Bank, number 6894, October.
  3. Mundlak, Yair & Larson, Donald F. & Butzer, Rita, 2004. "Agricultural dynamics in Thailand, Indonesia and the Philippines," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(1), March.
  4. Areal, Francisco J & Balcombe, Kelvin & Rapsomanikis, George, 2013. "Testing for bubbles in agriculture commodity markets," MPRA Paper 48015, University Library of Munich, Germany.
  5. Larson, Donald F. & Gurara, Daniel Zerfu, 2013. "A conceptual model of incomplete markets and the consequences for technology adoption policies in Ethiopia," Policy Research Working Paper Series 6681, The World Bank.
  6. Farrin, Kathleen M. & Miranda, Mario J., 2013. "Premium Benefits? A Heterogeneous Agent Model of Credit-Linked Index Insurance and Farm Technology Adoption," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149666, Agricultural and Applied Economics Association.
  7. Butzer, Rita & Larson, Donald F. & Mundlak, Yair, 2002. "Determinants Of Agricultural Growth In Thailand, Indonesia And The Philippines," Discussion Papers 14979, Hebrew University of Jerusalem, Department of Agricultural Economics and Management.
  8. Larson, Donald F. & Dinar, Ariel & Frisbie, J. Aapris, 2011. "Agriculture and the clean development mechanism," Policy Research Working Paper Series 5621, The World Bank.

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