• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Cleaner Production >Total-factor industrial eco-efficiency and its influencing factors in China: A spatial panel data approach
【24h】

Total-factor industrial eco-efficiency and its influencing factors in China: A spatial panel data approach

机译：中国全要素产业生态效率及其影响因素：空间面板数据方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

China's rapid economic growth and industrialization process has inevitably led to severe resource depletion and environmental degradation. Therefore, establishing total-factor industrial eco-efficiency (TFIEE) and probing into its influencing factors has great significance for improving overall eco-efficiency and the level of sustainable development. In this study, we evaluated the total-factor industrial eco-efficiency of 30 Chinese provinces grouped into eight regions in the period of 2006-2015 using a modified super-efficiency SBM-DEA model in which capital, labor, energy and water are adopted as inputs; and industrial value-added and industrial waste (soot & dust, solid wastes, waste water, waste gas) are treated as a desirable output and an undesirable output, respectively. Global and local Moran's indexes were used to analyze the spatial autocorrelation of TFIEE at both the national and regional levels. A panel spatial autoregressive (SAR) model was also proposed to study how technology and government interference affect TFIEE. We find that the ranking of TFIEE shows a descending order from the coast to the inland of China, which is consistent with the development levels of the regions in China. The Moran's index reveals that TFIEE shows a spatially positive autocorrelation from a national perspective. However, there exists no spatial autocorrelation for central China from a regional perspective, reflecting the cutting-off effect on the linkage of TFIEE between the eastern and western areas of China. We also find that TFIEE is positively correlated with technological progress and negatively correlated with government interference. Finally, policy implications were summarized to guide the green transition of the industrial sector in China. (C) 2019 Elsevier Ltd. All rights reserved.
机译：中国经济的快速增长和工业化进程不可避免地导致了严重的资源枯竭和环境恶化。因此，建立全要素产业生态效率（TFIEE）并探究其影响因素对提高整体生态效率和可持续发展水平具有重要意义。在这项研究中，我们使用修正的超高效SBM-DEA模型（采用资本，劳动力，能源和水），评估了2006年至2015年期间划分为八个区域的30个中国省份的全要素工业生态效率作为输入；工业增值和工业废物（烟尘，固体废物，废水，废气）分别被视为理想产出和不良产出。使用全球和当地的Moran指数分析了国家和地区水平的TFIEE的空间自相关。还提出了面板空间自回归（SAR）模型，以研究技术和政府干预如何影响TFIEE。我们发现，TFIEE的排名从中国沿海到内陆呈降序，这与中国区域的发展水平是一致的。莫兰指数显示，从国家角度来看，TFIEE显示出空间正自相关。但是，从区域角度看，中部地区不存在空间自相关，这反映了中国东部和西部地区对TFIEE链接的截止效应。我们还发现，TFIEE与技术进步呈正相关，与政府干预呈负相关。最后，总结了政策含义，以指导中国工业部门的绿色转型。 （C）2019 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号