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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Research of Total Factor Productivity and Agricultural Management Based on Malmquist-DEA Modeling
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Research of Total Factor Productivity and Agricultural Management Based on Malmquist-DEA Modeling

机译：基于Malmist-Dea建模的基于Malmist-Dea建模的总因素生产力和农业管理研究

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Based on the Malmquist-DEA Modeling and drawing on the data from 12 cities in Hubei, a central province of China, this paper measures the total factor productivity (TFP) of agricultural management as well as technological change (TC) and technical efficiency change (EC). The Cobb–Douglas (C-D) production function is adopted to empirically estimate the impacts of TFP and its constituent elements on the agricultural management and economic growth comprehensively and further study the effects on different regions in Hubei. The results demonstrate that TC grows at an annual average rate of 6.7% and drives agricultural TFP growth in Hubei. The decline in scale efficiency accounts for the drop of 1.1% of EC. The agricultural TFP growth rates among different regions vary remarkably but overall have a positive and significant effect on agricultural output. The research sheds light on the analysis of agricultural development of Hubei according to the findings based on Malmquist-DEA Modeling and provides practical implications for the future management.
机译：基于该马尔奎斯特-DEA模型，并从湖北省农业管理的12个城市，中国的中部省份，本文措施的全要素生产率（TFP）的数据绘制以及技术变化（TC）和技术效率变化（ EC）。科布 - 道格拉斯（C-d）的生产功能被采用到凭经验估计对农业管理和经济增长全面进一步研究在鄂不同区域的影响TFP和它的组成元件的影响。结果表明，TC增长在6.7％的年平均增长率，并在湖北驱动农业全要素生产率的增长。在规模效率的下降占了欧盟的1.1％的下降。不同地区之间的农业全要素生产率增长率变化显着，但总体对农业生产产生积极和显著的效果。该研究根据基于Malmquist-DEA模型的结果对湖北农业发展的分析揭示光，并为未来的管理实践意义。

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