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黄河流域生态经济走廊绿色发展时空分异特征与影响因素识别
引用本文:郭付友,佟连军,仇方道,李一鸣. 黄河流域生态经济走廊绿色发展时空分异特征与影响因素识别[J]. 地理学报, 2021, 76(3): 726-739. DOI: 10.11821/dlxb202103016
作者姓名:郭付友  佟连军  仇方道  李一鸣
作者单位:1.曲阜师范大学地理与旅游学院,日照 2768002.日照市国土空间规划与生态建设重点实验室,日照 2768003.中国科学院东北地理与农业生态研究所,长春 1301024.江苏师范大学地理测绘与城乡规划学院,徐州 221116
基金项目:国家自然科学基金项目(41801105);国家自然科学基金项目(41771138);山东省自然科学基金项目(ZR2018BD002);山东省社会科学规划研究(18DJJJ14)
摘    要:基于绿色发展科学内涵,综合构建了黄河流域绿色发展的评价指标体系,并采用熵值法、空间自相关分析、地理探测器模型等多种计量方法研究了 2005-2017年黄河流域生态经济走廊绿色发展时空分异特征与驱动因素,结果如下:①黄河流域绿色发展主要来源于规模化扩张与总量增长的外部驱动作用,热衷于发展速度与规模,忽视质量与效率的内涵式...

关 键 词:绿色发展  时空分异  影响因素  地理探测器  黄河流域
收稿时间:2020-03-12
修稿时间:2020-12-12

Spatio-temporal differentiation characteristics and influencing factors of green development in the eco-economic corridor of the Yellow River Basin
GUO Fuyou,TONG Lianjun,QIU Fangdao,LI Yiming. Spatio-temporal differentiation characteristics and influencing factors of green development in the eco-economic corridor of the Yellow River Basin[J]. Acta Geographica Sinica, 2021, 76(3): 726-739. DOI: 10.11821/dlxb202103016
Authors:GUO Fuyou  TONG Lianjun  QIU Fangdao  LI Yiming
Affiliation:1. College of Geography and Tourism, Qufu Normal University, Rizhao 276800, Shandong, China2. Rizhao Key Laboratory of Territory Spatial Planning and Ecological Construction, Rizhao 276800, Shandong, China3. Northeast Institute of Geography and Agricultural Ecology, CAS, Changchun 130102, China4. School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, Jiangsu, China
Abstract:Based on the scientific connotation of green development, a comprehensive evaluation index system for green development in the Yellow River Basin was constructed, and various measurement methods such as entropy method, spatial autocorrelation analysis, and geographical detector model were used to study the spatio-temporal differentiation characteristics and the influencing factors of the green development in the eco-economic corridor of the Yellow River Basin. The results are obtained as follows: (1) The green development in the Yellow River Basin mainly originates from the external driving effects of large-scale expansion and the growth of total volume. Focusing only on pursuing the speed and scale of development but ignoring the connotative improvement of quality and efficiency will inevitably lead to the insufficiency of internal driving effects and unsustainability. (2) The number of areas with lower level of green development in the study area decreased continuously while that with a higher-level of green development rose slightly during the limited study period. However, the proportion of the numbers of areas with the lower level and medium-low level of green development remained above 65% for a long time, indicating that the level of green development needs further improvement. (3) From 2005 to 2017, the 61 prefecture-level cities in the Yellow River Basin generally showed relatively obvious spatial dependencies, and the green development level displayed a relatively obvious characteristic of spatial club convergence. The phenomenon of polarization in the study area was obvious. (4) The economic development level, science and technology level and government regulation are still the leading factors influencing the green development, and the explanatory power of interactions between factors for the green development far exceeds that of a single factor. This reflects the driving factors for green development in the Yellow River Basin are complex.
Keywords:green development  spatio-temporal differentiation  influencing factor  geographical detector  Yellow River Basin  
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