| 中国生态效率时空差异和影响因素分析 |
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| 引用本文： | 李秋颖,梁龙武,王振波.中国生态效率时空差异和影响因素分析[J].资源与生态学报（英文版）,2021,12(2):155-164. |
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| 作者姓名： | 李秋颖 梁龙武 王振波 |
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| 作者单位： | 山东社会科学院;中国科学院地理科学与资源研究所;中国科学院大学 |
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| 基金项目： | The National Natural Science Foundation of China (41771181, 41661116);The Shandong Social Science Planning Fund Program (20CJJJ04) |
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| 摘 要： | 经济发展、资源利用和生态保护之间存在着尖锐矛盾,而生态效率概念和评价体系构建为这一问题提供了解决方案。本研究基于超Slacks-BasedMeasure模型,评价了2005–2016年中国大陆30个省份生态效率的时空特征、区域差异性,并利用面板回归模型分析了其影响因素。研究发现:(1)2005–2016年各省份生态效率在研究时段总体呈现上升态势,伴有波峰变化,但各地区生态效率水平及其变化幅度的差异较为显著。东部地区生态效率明显高于中部地区、西部地区和东北部地区。(2)通过变异系数测算表明各省份生态效率差异在逐渐缩小,但空间分布仍不均衡。从区域内差异看,西部省份区域内差异均值最高,其次为东部地区和东北部地区,中部地区区域差异最小。(3)通过生态效率影响因素研究显示,工业结构、对外开放度、城镇化、技术创新和环境规制对生态效率产生积极影响,能源消费、交通对其产生消极影响,而在不同区域生态效率的影响因素呈现不同作用力。据此,提出各地区提升生态效率的相关政策建议,为缩小绿色发展差距及加快促进区域绿色可持续协调发展提供重要的实证参考。
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| 关 键 词： | 生态效率 超SBM模型 影响因素 面板回归模型 |
| 收稿时间： | 2020-09-01 |
Spatiotemporal Differentiation and the Factors Influencing Eco-efficiency in China |
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| LI Qiuying,LIANG Longwu,WANG Zhenbo.Spatiotemporal Differentiation and the Factors Influencing Eco-efficiency in China[J].Journal of Resources and Ecology,2021,12(2):155-164. |
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| Authors: | LI Qiuying LIANG Longwu WANG Zhenbo |
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| Institution: | 1. Institute of Shandong Academy of Social Sciences, Jinan 250002, China;2. Institute of Geographic Sciences and National Resources Research, Chinese Academy of Sciences, Beijing 100101, China;3. University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | Economic development,resource utilization,and environmental protection have always presented clear dilemmas for many countries at the national level.It is clear that the related concepts of eco-efficiency and the evaluation index can help in evaluating these associated issues.Thus,based on the use of undesirable output super Slacks-Based Measure models,this study evaluated the eco-efficiency of 30 Chinese provinces during the period between 2005 and 2016.This evaluation was conducted by analyzing the spatiotemporal dynamics and key factors influencing these changes using a panel regression model.The results of this analysis reveal that eco-efficiency gradually increased over the course of the study period,peaking at different levels among the regions.We used the conventional CV evolutionary method to show that inequalities in eco-efficiency gradually decreased at the national level.Indeed,our estimations of the factors affecting this variable suggest that industrial structure,degree of openness,urbanization,technical innovation,and environmental governance all exert significant positive influences,while energy consumption and traffic exert negative effects.The extent of the impacts of these factors on eco-efficiency varied between the different regions. |
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| Keywords: | eco-efficiency super-SBM model influencing factors panel regression model |
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