Abstract
These study attempts analyze the chicken production scale in Battambang of Cambodian among the rural household rice farmers using Optimization Model. The study explains the explicit opportunity cost of not investing time and other reliable resources in the chicken (courtyard) production is the income the farmer would have gained competitively in the market price of chicken. The results suggest that two out of 6 districts have the potential to obtain optimal scale by increasing chicken head counts. High chicken death rate was detected in the region thus the authors suggests a subsidy policy for disease control should be provided to affected region or high risk region; and locally, there should be broader extension services orienting farmers on the proper management of small scale chicken production.
Highlights
Cambodia has been named as one of the new tiger economies of Asia following the five years high economic growth of about 7% GDP growth rate from 2013 to 2017 (ADB, 2016) [1]
This study focuses on chicken production with respect to the feed structure which in this case is the rice produced by the household
Given the farmers income from their chicken production, the model expresses the optimal scale of production
Summary
Cambodia has been named as one of the new tiger economies of Asia following the five years high economic growth of about 7% GDP growth rate from 2013 to 2017 (ADB, 2016) [1]. The livestock subsector has been gaining the attention of researchers and the government of Cambodia in the past years as this sector faces both external and internal challenges such as spread of diseases, high cost of inputs and low access to capital. (2016) Optimization Model of Small-Scale Chicken Production in Cambodia. According to MAFF (2015) [2], the livestock production increased from 34.81 million heads in 2013 to about 36.93 million heads in 2015 and projected to about 40.34 million in year 2018. The outcome of the analysis is expected to provide the rural famers with effective methods to proper manage their production scale efficiently
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