Rodríguez Xosé A, Elasraag Yahia H
Department of Quantitative Economics, University of Santiago de Compostela, Santiago de Compostela, Spain.
Department of Agricultural Economics, Cairo University, Gammaa St., Giza, 12613, Egypt.
PLoS One. 2015 Jan 27;10(1):e0116085. doi: 10.1371/journal.pone.0116085. eCollection 2015.
The main objective of this paper is to decompose the productivity growth of Egyptian cotton production. We employ the stochastic frontier approach and decompose the changes in total factor productivity (CTFP) growth into four components: technical progress (TP), changes in scale component (CSC), changes in allocative efficiency (CAE), and changes in technical efficiency (CTE). Considering a situation of scarce statistical information, we propose four alternative empirical models, with the purpose of looking for convergence in the results. The results provide evidence that in this production system total productivity does not increase, which is mainly due to the negative average contributions of CAE and TP. Policy implications are offered in light of the results.
本文的主要目的是分解埃及棉花生产的生产率增长。我们采用随机前沿方法，将全要素生产率（CTFP）增长的变化分解为四个组成部分：技术进步（TP）、规模成分变化（CSC）、配置效率变化（CAE）和技术效率变化（CTE）。考虑到统计信息稀缺的情况，我们提出了四个替代实证模型，旨在寻找结果的趋同性。结果表明，在这个生产系统中，总生产率没有提高，这主要是由于CAE和TP的平均贡献为负。根据结果给出了政策建议。
