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Rice trade liberalization in the Philippines should decrease domestic rice prices impacting both agricultural wages and the welfare of agricultural wage earners. This study examines the short-run and long-run relationship between rice prices and agricultural wages in the Philippines using a neoclassical wage determination model. Three empirical frameworks are used-a cointegration/error correction framework, which assumes nonstationary variables in long-run equilibrium, a first difference model that assumes nonstationary variables but no long-run equilibrium, and an OLS framework that assumes the model variables are stationary. Conclusions are reasonably robust across the three empirical frameworks with wages adjusting positively to rice price changes with a short-run elasticity of 0.29 to 0.57, and a long-run elasticity of 0.70 to 1.0 in preferred models. An analysis of welfare implications suggests that although households that are heavily reliant on agricultural wages for income will be adversely affected by rice price decreases, other households will benefit. Copyright (c)2008 International Association of Agricultural Economists.

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This paper presents evidence of recent adoption rates of disease resistant bean varieties (RVs), the farm-level benefits of RV adoption, and the ex post rate of return to disease resistant bean research in Honduras. Results from a farm-level survey in 2001 in the two principal bean-producing regions of the country show that 41-46% of bean farmers (depending upon the season) have adopted an RV, and that adoption is neutral with respect to farm-size and market orientation. An expected utility framework was used to estimate the farm-level benefits of RV adoption, using a combination of experimental trial and farm-level survey data. Adopters gain the equivalent of 7-16% (depending on the variety) in bean income from the yield loss averted through RV use. The ex post rate of return to disease resistant bean research in Honduras from 1984 to 2010 is 41.2%.

This paper presents evidence of recent adoption rates of disease resistant bean varieties (RVs), the farm-level benefits of RV adoption, and the ex post rate of return to disease resistant bean research in Honduras. Results from a farm-level survey in 2001 in the two principal bean-producing regions of the country show that 41-46% of bean farmers (depending upon the season) have adopted an RV, and that adoption is neutral with respect to farm-size and market orientation. An expected utility framework was used to estimate the farm-level benefits of RV adoption, using a combination of experimental trial and farm-level survey data. Adopters gain the equivalent of 7-16% (depending on the variety) in bean income from the yield loss averted through RV use. The ex post rate of return to disease resistant bean research in Honduras from 1984 to 2010 is 41.2%.

At the end of 2003, the U.S. Census Bureau estimated that around 2.7 million people in the U.S. were of Central American origin. While this community represents a potential market for Central American exports, no study had previously been carried out to describe the ethnic markets for Central American products in the U.S. This paper describes the findings from research conducted in 2003, which suggests that people of Central American origin prefer to buy beans from their country of origin and are willing to pay a premium price for these beans. Also described in the paper is information to be used in future research for assessing the demand for food products from Latin America in U.S. ethnic communities.

(USAID), bajo los términos del contrato No. GDG-G-00-02-00012-00. Las opiniones expresadas en el presente trabajo son de los autores y no representan necesariamente los puntos de vista de la USAID.

This chapter highlights key socioeconomic factors that affect farmer adoption of integrated pest management (IPM); identifies economic considerations (opportunity cost of pesticide use, uncertain benefits and positive marginal returns, and economic thresholds) that explain farmers' behaviour and affect their ability and willingness to adopt IPM strategies; describes the type of socioeconomic data that are necessary to design a successful IPM programme; and discusses how these data can be analysed to increase the probability that an IPM programme will be successful.