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A research on the efficiency of regional green innovation in China—Based on DEA-SBM model and Malmquist index method

机译:基于DEA-SBM模型和MALMQUIST指标法的区域绿色创新效率研究

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This paper selects panel data of 29 provinces in mainland China from 2010-2017 and combines a DEA-SBM model that takes into account non-desired outputs and the Malmquis index method to study the static and dynamic changes of regional green innovation efficiency. It is found that the overall level of green innovation efficiency in China is low, but the overall trend is on the rise and there is more room for improvement. The differences in green innovation efficiency values among the three regions of East, West and Central Asia are obvious, with the eastern region developing at a higher level than the central and western regions, and the gap is gradually narrowing. Technological progress is a key factor affecting total factor productivity.
机译:本文从2010-2017中选择了中国大陆29个省份的面板数据,并结合了DEA-SBM模型,该模型考虑了非所需产出和Malmquis指标方法,以研究区域绿色创新效率的静态和动态变化。 结果发现,中国的绿色创新效率的总体水平低,但整体趋势正在上升,有更多的改进空间。 绿色创新效率值在东部,西部和中亚三个地区的差异是显而易见的,东部地区发展比中西部地区更高,差距逐渐缩小。 技术进步是影响总因素生产力的关键因素。

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