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  4. The Cost Efficiency of the Hog Farms Participating in the Record-Keeping Program in Taiwan: Before and After the Food-and-Mouth Disease Outbreak
 
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The Cost Efficiency of the Hog Farms Participating in the Record-Keeping Program in Taiwan: Before and After the Food-and-Mouth Disease Outbreak

Resource
農業與經濟, 48, 1-32
Journal
農業與經濟
Journal Issue
48
Pages
1-32
Date Issued
2012-06
Date
2012-06
Author(s)
Chen, P.C.
Huang, Y.H.
Juang, J.W.
Chang, C.C.
URI
http://ntur.lib.ntu.edu.tw//handle/246246/282134
Abstract
This study analyzes the cost efficiency of hog industry in Taiwan using the swine farms in the bookkeeping system collected by the Animal Technology Institute Taiwan during 1995~2008 as the sample. The technical and cost efficiency are measured by using stochastic frontier analysis (SFA) and data envelopment analysis (DEA). The impacts of exogenous factor affecting efficiencies are also investigated simultaneously. The results indicates that the SFA and DEA produce consistent results for each time period and that the mean cost efficiency scores are 0.877 and 0.842 respectively which suggests an 12.3% up to 15.8% cost-saving improvement could be made by reallocating their resource applications. The inter-temporal comparisons suggest that the cost efficiency deteriorates right after the outbreak of the foot-and-mouth disease, but improves after the accession of WTO and the increase of feed prices. The regression result of farm-specific factors on cost efficiency indicates that both farmer’s education level and experience are not significant, but farms producing feeder pigs and hogs simultaneously are more efficient than the others. Expanding farm size is also beneficial to efficiency improvement. Based on these results, it is suggested that training programs on adopting professional knowledge and market information for expansion purposes should be helpful for swine farmers in strengthening their capacity to adapt to the rapid changing environment.
Subjects
養豬場、成本效率、隨機邊界法、資料包絡分析法、口蹄疫、不平衡縱橫資料
Hog farm, Cost efficiency, Stochastic frontier analysis, Data envelopment analysis, Foot-and-Mouth disease, Unbalanced panel data
Type
journal article
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