基于SFA模型的粮食产量增长来源研究

2008 International Seminar on Future Information Technology and Management Engineering Pub Date : 2008-11-20 DOI:10.1109/FITME.2008.37

Yu Zhao, Yu Zhang, Chunjie Qi

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引用次数: 0

摘要

本文通过建立并行数据模型，估计了粮食生产的随机前沿生产函数。将粮食产量的增长来源分为要素投入、技术进步和技术效率三个方面。研究表明，1980—2005年湖北粮食产量增长主要来源于农业技术，其次是技术效率的提高，第三是物质支出的投入。另一方面，湖北种粮农户的技术效率较低是由于技术替代劳动力的派生需求不足造成的，湖北种粮农户的技术效率不低，而是效率低下。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research on the Source of Grain Output Growth Based on SFA Model

This article has estimated the stochastic frontier production function of grain farming through building a parallel data model. It has divided the growth source of grain output into factor input, technical progress and technical efficiency. The research indicates that the growth of the grain output in Hubei during the period from 1980-2005 mainly derived from agricultural technical, following was the improvement of technical efficiency, and the 3rd was the input of material expenditure. Another was also found that the lower technical efficiency suffered from the insufficient derived demand of the technology substituting for labor, Hubei grain farmers are not ldquopoor but efficientrdquo.

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来源期刊

2008 International Seminar on Future Information Technology and Management Engineering

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