...
首页> 外文期刊>Environmental Science and Pollution Research >An interprovincial evaluation of industrial energy and environment efficiency: what drives China to make progress in sustainability?
【24h】

An interprovincial evaluation of industrial energy and environment efficiency: what drives China to make progress in sustainability?

机译:对工业能源和环境效率的剧剧评价:驱使中国在可持续发展方面取得什么进展?

获取原文
获取原文并翻译 | 示例
           

摘要

China has made huge economic achievements based on industry. Heterogeneity, resulting from the industrial structure, energy endowment, and infrastructure among regions, has always been neglected on industrial performance evaluation. This paper focuses on provincial industrial heterogeneity to make a study. Firstly, meta-frontier slack-based measure is employed to rate industrial energy and environment efficiency of China. Besides, spatial evolution characteristics of efficiencies are described by global Moran's I and local Moran's I index. Taking the spatial correlation effect of efficiency into consideration, factors driving Chinese industrial energy and environment efficiency are analyzed and distinguished by quantitative regression and spatial Durbin model. It finds that (1) technical inefficiency and managerial inefficiency mainly attribute to the inefficiency of industrial energy and environment. (2) Chinese industrial energy and environment efficiency presents a stable spatial agglomeration as "high aggregation, low aggregation." It is necessary and indispensable for provinces and regions to cooperate to enhance efficiency. (3) Each province has a distinct driving mechanism of efficiency. The improvement policy of efficiency should be diversified for different provinces.
机译:中国采取了基于行业的巨大经济成就。由于地区的产业结构,能源禀赋和基础设施而导致的异质性始终忽略了工业绩效评估。本文重点介绍省级工业异质性进行研究。首先,基于元边缘的Slack的措施用于利用中国的工业能源和环境效率。此外,全球莫兰的I和当地莫兰的I指数描述了效率的空间演化特征。考虑到效率的空间相关效果,分析了驾驶中国工业能源和环境效率的因素,并通过定量回归和空间德宾模型区分。它发现(1)技术效率低下和管理效率效率主要归因于工业能源和环境的效率。 (2)中国工业能源和环境效率呈现出稳定的空间凝聚为“高聚集,低聚集”。省市和地区是必要的,不可或缺的合作,以提高效率。 (3)每个省都有明显的驾驶效率机制。效率的改善政策应该为不同的省份多样化。

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