基于DEA模型的我国棉花全要素生产率分析

发布时间：2019-03-11 17:08

【摘要】：随着国内劳动成本的不断上涨,植棉成本不断提高,以及国际棉花价格的冲击,我国棉花产业发展面临挑战。利用2004—2013年棉花成本收益数据,基于DEA模型的Malmquist生产率指数法,对我国11个主产棉区的全要素生产率进行测算与分析。结果表明:这一期间,我国棉花全要素生产率平均增长0.7%,技术效率平均下降0.4%,技术进步效率平均增长1.1%。棉花全要素生产率波动比较大,近几年呈下降趋势,技术效率的下降是主导因素。通过分析提出:加大对技术的研发、推广与应用,提高技术经济效益;调整棉花种植规模,适当规模化种植、组织化经营,提高规模效率,最终促进棉花全要素生产率的增长,提高我国棉花综合生产能力,增强我国棉花产业竞争力。
[Abstract]:With the rising of domestic labor cost, the increasing of cotton planting cost and the impact of international cotton price, the development of China's cotton industry is facing challenges. Based on the data of cotton cost and income from 2004 to 2013, based on the Malmquist productivity index method of DEA model, the total factor productivity (TFP) of 11 main cotton-producing areas in China was measured and analyzed. The results showed that during this period, the total factor productivity (TFP) of cotton in China increased by 0.7%, the technical efficiency decreased by 0.4% on average, and the technological progress efficiency increased by 1.1% on average. The fluctuation of cotton total factor productivity is relatively large, and in recent years, the decline of technical efficiency is the dominant factor. Through the analysis, it is pointed out that: increasing the research and development of technology, popularizing and applying, and improving the technical and economic benefits; Adjust the cotton planting scale, appropriate large-scale planting, organize the management, improve the scale efficiency, finally promote the growth of cotton total factor productivity, improve the cotton comprehensive production capacity of our country, enhance the competitiveness of the cotton industry of our country.
【作者单位】：石河子大学经济管理学院;
【基金】：国家社会科学基金(编号:13BJL075)
【分类号】：F224;F326.12

【相似文献】