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Analysis on Industrial Land Efficiency of Central Yunnan Economic Zone Based on Big-Dat

机译:基于大数据的云南省经济区工业土地效率分析

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To speed up the industrial transformation, promote enterprise technology improvement and improve the efficiency of industrial of industry, This study use of DEA and Malmquist Index model decomposition method, comparative analysis of the 2006-2011 period under the background of big data, the differences in four cities in Central and industrial land in the process of change in total factor productivity in the rapid urbanization. The results prove that: 1. Yunnan urban industrial land productivity are quite different. Difference between the productivity of industrial land in Central. 2. Returns to scale urban industrial land in Central region are showing a decreasing trend. 3. Yunnan urban industrial TFP index most decline. Therefore, accelerating industrial restructuring and upgrading, investments in technology, and promoting technical improvements are realized the only way to enhance the efficiency of industrial land.
机译:加快工业转型,促进企业技术的提高,提高产业工业效率,这项研究使用DEA和Malmquist指数模型分解方法,对大数据背景下的2006 - 2011年期间的比较分析,差异中产土地的四个城市在快速城市化的总因素生产率变化过程中。结果证明:1。云南城市工业土地生产率完全不同。中环工业用地生产力的差异。 2.中部地区的规模城市工业用地返回呈现趋势下降。 3.云南市工业TFP指数最下降。因此,实现了工业重组和升级,技术投资,促进技术改进的唯一方法,才能提高工业用地效率的唯一方法。

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