上海大学学报(自然科学版) ›› 2018, Vol. 24 ›› Issue (3): 486-494.doi: 10.12066/j.issn.1007-2861.1835

• 研究论文 • 上一篇    下一篇

环境约束下长江经济带投入效率的时空差异

王琳玉, 于丽英()   

  1. 上海大学 管理学院, 上海 200444
  • 收稿日期:2016-06-29 出版日期:2018-06-15 发布日期:2018-06-28
  • 通讯作者: 于丽英 E-mail:yuliying@shu.edu.cn
  • 基金资助:
    上海市科技发展基金资助项目(13692107200)

Spatial-temporal sisparities of investment efficiency in the Yangtze River Economic Belt under environmental restrictions

WANG Linyu, YU Liying()   

  1. School of Management, Shanghai University, Shanghai 200444, China
  • Received:2016-06-29 Online:2018-06-15 Published:2018-06-28
  • Contact: YU Liying E-mail:yuliying@shu.edu.cn

摘要:

基于sequential Malmquist-Luenberger (SML)指数的分析,构建了在环境约束下长江经济带投入效率测算模型.运用该模型分别从空间与时间上测算了在环境约束下长江经济带的投入效率.从空间上看, 在考虑非期望产出的情况下,长江经济带各城市之间投入效率差异较大, 且技术进步是其增长的主要源泉;沿长江上游至下游, 各城市群的投入效率呈逐步上升的趋势,长江三角洲城市群在环境约束下的投入效率与技术进步指数明显高于其他4个城市群,但其效率变化指数却不如成渝城市群和长江中游城市群. 从时间上看,2000年至2013年长江经济带整体投入效率呈现出递增趋势,但投入效率的提高主要是由于技术的进步, 而不是效率上的变化,说明环境政策对环境问题的改善和生产方式的转变有一定的积极影响.

关键词: 环境约束, 长江经济带, 投入效率, SML指数

Abstract:

This paper establishes an accounting model of investment efficiency in the Yangtze River Economic Belt under environmental restrictions based on the sequential Malmquist-Luenberger (SML) index. From the spatial perspective, large discrepancies exist among cities in investment efficiency with technological progresses as the main source of growth. Investment efficiency of each urban agglomeration trends to rise gradually from the upper reach to the lower reach of the Yangtze. The urban agglomeration in the Yangtze Delta is significantly higher than other four agglomerations in investment efficiency, but changes in efficiency are not as ideal as that in the urban agglomerations of Chengyu area and the middle reaches of the Yangtze. Chronologically, investment efficiency of the Yangtze River Economic Belt is growing. However, the main reason of the increase is the technological advances rather than the efficiency improvement. The result of this study indicates that China's environment policies have made positive effects on the improvement of environmental problems and the change of mode of production.

Key words: environmental restriction, the Yangtze River Economic Belt, investment efficiency, sequential Malmquist-Luenberger (SML) index

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