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Research on Total Factor Productivity and Influential Factors of the Regional Water–Energy–Food Nexus: A Case Study on Inner Mongolia China

机译:区域水能食品联结的全要素生产率及其影响因素研究-以内蒙古为例

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摘要

With the supply of water, energy and food facing severe challenges, there has been an increased recognition of the importance of studying the regional water–energy–food nexus. In this paper, Inner Mongolia, including 12 cities in China, was selected as a research case. A super-efficiency slack based measure (SBM) model that considered the undesirable outputs was adopted to calculate the regional total factor productivity (TFP) and the Malmquist–Luenberger index was used to investigate the change trend of the TFP from 2007 to 2016 based on understanding the water–energy–food nexus. Finally, influential factors of the TFP were explored by Tobit regression. The results show that the 12 Inner Mongolia cities are divided into higher, moderate and lower efficiency zones. The higher efficiency zone includes Ordos, Hohhot, Xing’an, and Tongliao, and the lower efficiency zone includes Chifeng, Xilin Gol, Baynnur, Wuhai and Alxa. There is a serious difference in TFP between Inner Mongolia cities. During the study period, the TFP of the water–energy–food nexus in Inner Mongolia cities shows a rising trend, which is mainly driven by the growth of technical progress change. However, the average ML values of the lower and moderate efficiency zones were inferior to the higher efficiency zone in six of the ten years, so the difference between Inner Mongolia cities is growing. According to the Tobit regression, the mechanization level and degree of opening up have positive effects on the TFP, while enterprise scale and the output of the third industry have negative effects on the TFP. Government support does not have any significant impact on the TFP. Finally, suggestions were put forward to improve the TFP of the water–energy–food nexus in Inner Mongolia cities.
机译:随着水,能源和食品的供应面临严峻挑战,人们越来越认识到研究区域水—能源—食品关系的重要性。本文选择了包括中国12个城市在内的内蒙古作为研究案例。采用考虑了不良产出的基于超效率松弛的度量(SBM)模型来计算区域总要素生产率(TFP),并使用Malmquist-Luenberger指数调查了2007年至2016年TFP的变化趋势,了解水,能源,食品之间的联系。最后,通过Tobit回归探讨了TFP的影响因素。结果表明,内蒙古的12个城市被划分为高,中,低效率区。高效率区包括鄂尔多斯,呼和浩特,兴安和通辽,低效率区包括赤峰,锡林郭勒,Baynnur,乌海和阿拉善。内蒙古城市之间的全要素生产率存在严重差异。在研究期间,内蒙古城市水,能源,食品关系的全要素生产率呈现上升趋势,这主要是由于技术进步变化的增长所致。但是,在十年中的六个年中,低效率和中效率区域的平均ML值次于高效率区域,因此内蒙古城市之间的差异正在扩大。根据Tobit回归,机械化水平和开放程度对全要素生产率有积极影响,而企业规模和第三产业的产出对全要素生产率有不利影响。政府支持对全要素生产率没有任何重大影响。最后,提出了改善内蒙古城市水,能源,食品联系的全要素生产率的建议。

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