Spatial-temporal disparities and influencing factors of total-factor green use efficiency of industrial land in China
Spatial-temporal disparities and influencing factors of total-factor green use efficiency of industrial land in China
复制标题
中国工业用地全要素绿色利用效率时空差异及影响因素
DOI：
10.1016/j.jclepro.2018.10.087
复制
发表时间：
2019-01-10
影响因子：
11.1
通讯作者：
Yu, Jiangli
中科院分区：
文献类型：
--
作者：
Xie, Hualin;Chen, Qianru;Yu, Jiangli
实现工业用地的“绿色”利用，有利于节约宝贵的土地资源，保护生态环境，实现中国经济的绿色发展。本文利用全球非径向定向距离函数（GNDDF）和工业用地绿色利用非径向Malmquist绩效（NMPILGU）对中国工业用地全要素绿色利用效率（TGUEIL）的动态性能进行了估算。结果表明：2006-2015年，大部分年份TGUEIL呈上升趋势；东部地区的tguil最大，区域间的tguil差距正在缩小。工业部门的技术进步对NMPILGU的贡献大于效率进步。要提高tguil，就必须增加工业企业内部研发活动支出，增加有效发明数量，增加研发人员数量。推进清洁能源在工业生产中的应用，加大节能减排力度。我们应该禁止地方政府出售土地来弥补赤字。政府应更加重视东部地区的工业劳动力过剩问题，引导东部地区的工业富余劳动力有序向中西部地区转移。(C) 2018 Elsevier Ltd.版权所有。
Achieving "green" use of industrial land is beneficial to save precious land resources, protect ecological environments and achieve the green development of China's economy. In this paper, we estimate the dynamic performance of the total-factor green use efficiency of industrial land (TGUEIL) in China by using a global non-radial directional distance function (GNDDF) and the non-radial Malmquist performance of industrial land green use (NMPILGU). The results show that the TGUEIL had a rising trend in most years during 2006-2015. The eastern region enjoys the greatest TGUEIL, and the gaps in the TGUEIL between regions are narrowing. Technical progress in the industrial sector contributes more to the NMPILGU than efficiency progress. To raise the TGUEIL, we should increase the internal expenditures in R&D activities, the number of effective inventions and R&D staffs in industrial enterprises. We should promote the use of clean energy in industrial production and increase efforts in energy-saving and emission reduction. We should prohibit local governments from selling land to cover the deficit. The government should pay more attention to industrial labor redundancy in eastern China and guide orderly redundant industrial labor force transfer from eastern regions to central and western regions. (C) 2018 Elsevier Ltd. All rights reserved.