A dramatic increase over the past fifteen years in domestic pork demand and production in the Philippines has created a potentially profitable opportunity for poor rural and agricultural households. In Southern and Central Luzon, the two biggest markets, however, smallholder pig producers hold only a minority share of total production compared to larger commercial farms. This report seeks to assess the scope for smallholders to remain in business by analyzing the relative profitability of small and large farms. Using field data from pig-producing households, the researchers assess the role of internal and external factors in determining a household's participation in production and marketing and examine the combination of technical and allocative efficiency exhibited by specific farms under particular circumstances. They conclude that the smallest-scale pig producers will not survive market competition and will require alternative occupations. Many others, however, could profit from pig production if policy and institutional changes ensure their access to inputs, to animal health services that can guarantee output quality, and to markets for higher quality output. These findings are a valuable contribution to poverty reduction efforts in the Philippines.
The livestock revolution; Recent transformation of livestock food demand; Accompanying transformation of livestock supply; Projections of future demand and supply to 2020; Implications of the livestock revolution for world trade and food prices; Nutrition, food security, and poverty alleviation; Environmental sustainability; Public health; Technology needs and prospects; Taking stock and moving forward.
This compendium reproduces results from several, independent research projects undertaken at the Livestock Policy Analysis Programme (LPAP) of the International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia. This reproduction brings together separate pieces of research that relate to the same goals, namely, market expansion, food security, poverty alleviation and hunger prevention. It is to showcase the power of Markov chain Monte Carlo (MCMC) methods, particularly Gibbs sampling, in providing direct answers to policy questions. It is hoped that the empirical research showcased in this compendium will spur other researchers to apply MCMC methods and the Bayesian paradigm to the heterogeneous research projects and policy questions that employed research encounters in less developed regions.
This paper argues that partial productivity measures are inappropriate and at times misleading for assessing the performance of agricultural production technologies and systems. This is especially true where substantial changes in resource stock and flows accompany the production process. Superlative-index based total factor productivity measures are a more appropriate technique to compare production efficiency and sustainability of alternative systems. Mathematical formulations of intertemporal and interspatial total factor productivity measures with and without considering changes in resource stock and flows are shown. Then three case studies from sub-Saharan Africa in which this approach was applied are reviewed. These studies show that total factor productivity measures are biased if changes in resource stock and flows are not appropriately accounted for in intertemporal comparisons, and differences in input intensity are not accounted for in interspatial comparisons.
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