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

doi:10.11821/dlxb202103016

Abstract

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.

Key words: green development, spatio-temporal differentiation, influencing factor, geographical detector, 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 corridorof the Yellow River Basin[J].Acta Geographica Sinica, 2021, 76(3): 726-739.

Figures/Tables 13

Tab. 1

Fig. 1

Fig. 2

Tab. 2

Fig. 3

Tab. 3

Tab. 4

References 52

[1]	Guo Fuyou, Tong Lianjun, Wei Qiang, et al. Spatio-temporal difference and influencing factors of environmental adaptability assessment of industrial system in the Songhua River Basin of Jilin Province. Acta Geographica Sinica, 2016,71(3):459-470.
	[ 郭付友, 佟连军, 魏强, 等. 吉林省松花江流域产业系统环境适应性时空分异与影响因素. 地理学报, 2016,71(3):459-470.]
[2]	Bao Chao. Spatio-temporal coupling relationships among urbanization, economic growth and water use change in China. Acta Geographica Sinica, 2014,69(12):1799-1809. doi: 10.11821/dlxb201412006
	[ 鲍超. 中国城镇化与经济增长及用水变化的时空耦合关系. 地理学报, 2014,69(12):1799-1809.]
[3]	Xu Chuanchen, Wang Peng, Cui Yue, et al. The urbanization level, industrial structure and economic growth: Based on China's empirical data from 2000 to 2015. On Economic Problems, 2017(6):26-29.
	[ 徐传谌, 王鹏, 崔悦, 等. 城镇化水平、产业结构与经济增长: 基于中国2000—2015年数据的实证研究. 经济问题, 2017(6):26-29.]
[4]	Guo Fuyou, Hou Ailing， Tong Lianjun, et al. Spatio-temporal pattern and influencing factors of green development in the northeast restricted development zone since the revitalization of the Northeast China. Economic Geography, 2018,38(8):58-66.
	[ 郭付友, 侯爱玲, 佟连军, 等. 振兴以来东北限制开发区绿色发展水平时空分异与影响因素. 经济地理, 2018,38(8):58-66.]
[5]	Zhao Jianbo, Shi Dan, Deng Zhou. A framework of China's high-quality economic development. Research on Economics and Management, 2019,40(11):15-31.
	[ 赵剑波, 史丹, 邓洲. 高质量发展的内涵研究. 经济与管理研究, 2019,40(11):15-31.]
	[ 赵剑波, 史丹, 邓洲. 高质量发展的内涵研究. 经济与管理研究, 2019,40(11):15-31.]
[6]	Hu Angang, Zhou Shaojie. Green development: Functional definition, mechanism analysis and development strategy. China Population,Resources and Environment, 2014,24(1):14-20.
	Hu Angang, Zhou Shaojie. Green development: Functional definition, mechanism analysis and development strategy. China Population,Resources and Environment, 2014,24(1):14-20.
	[ 胡鞍钢, 周绍杰. 绿色发展:功能界定、机制分析与发展战略. 中国人口·资源与环境, 2014,24(1):14-20.]
	[ 胡鞍钢, 周绍杰. 绿色发展:功能界定、机制分析与发展战略. 中国人口·资源与环境, 2014,24(1):14-20.]
[7]	Zhu Dajian. New concept of green economy and consideration of deepening green economy studies in China. China Population,Resources and Environment, 2012,22(5):40-47.
	Zhu Dajian. New concept of green economy and consideration of deepening green economy studies in China. China Population,Resources and Environment, 2012,22(5):40-47.
	[ 诸大建. 绿色经济新理念及中国开展绿色经济研究的思考. 中国人口·资源与环境, 2012,22(5):40-47.]
	[ 诸大建. 绿色经济新理念及中国开展绿色经济研究的思考. 中国人口·资源与环境, 2012,22(5):40-47.]
[8]	Lorek S, Spangenberg J H. Sustainable consumption within a sustainable economy: Beyond green growth and green economies. Journal of Cleaner Production, 2014,63:33-44. doi: 10.1016/j.jclepro.2013.08.045
	Lorek S, Spangenberg J H. Sustainable consumption within a sustainable economy: Beyond green growth and green economies. Journal of Cleaner Production, 2014,63:33-44. doi: 10.1016/j.jclepro.2013.08.045
[9]	Loiseau E, Saikku L, Antikainen R, et al. Green economy and related concepts: An overview. Journal of Cleaner Production, 2016,139:361-371. doi: 10.1016/j.jclepro.2016.08.024
	Loiseau E, Saikku L, Antikainen R, et al. Green economy and related concepts: An overview. Journal of Cleaner Production, 2016,139:361-371. doi: 10.1016/j.jclepro.2016.08.024
[10]	D'Amato D, Droste N, Allen B , et al. Green, circular, bio economy: A comparative analysis of sustainability avenues. Journal of Cleaner Production, 2017,168:716-734. doi: 10.1016/j.jclepro.2017.09.053
	D'Amato D, Droste N, Allen B , et al. Green, circular, bio economy: A comparative analysis of sustainability avenues. Journal of Cleaner Production, 2017,168:716-734. doi: 10.1016/j.jclepro.2017.09.053
[11]	Huang Jianhuan, Lv Hailong, Wang LiangJian. Mechanism of financial development influencing regional green development: Based on eco-efficiency and spatial econometrics. Geographical Research, 2014,33(3):532-545.
	Huang Jianhuan, Lv Hailong, Wang LiangJian. Mechanism of financial development influencing regional green development: Based on eco-efficiency and spatial econometrics. Geographical Research, 2014,33(3):532-545.
	[ 黄建欢, 吕海龙, 王良健. 金融发展影响区域绿色发展的机理: 基于生态效率和空间计量的研究. 地理研究, 2014,33(3):532-545.]
	[ 黄建欢, 吕海龙, 王良健. 金融发展影响区域绿色发展的机理: 基于生态效率和空间计量的研究. 地理研究, 2014,33(3):532-545.]
[12]	Huang Yi, Yang Lei, Wang Xiaoxing, et al. Research on urban green development evaluation index system: Case study in Guangzhou city. Science and Technology Management Research, 2012,32(17):55-59.
	Huang Yi, Yang Lei, Wang Xiaoxing, et al. Research on urban green development evaluation index system: Case study in Guangzhou city. Science and Technology Management Research, 2012,32(17):55-59.
	[ 黄羿, 杨蕾, 王小兴, 等. 城市绿色发展评价指标体系研究: 以广州市为例. 科技管理研究, 2012,32(17):55-59.]
	[ 黄羿, 杨蕾, 王小兴, 等. 城市绿色发展评价指标体系研究: 以广州市为例. 科技管理研究, 2012,32(17):55-59.]
[13]	Huo Yanli, Liu Tong. Eco economic construction: The path choice of green development in China. Enterprise Economy, 2011,30(10):63-66.
	Huo Yanli, Liu Tong. Eco economic construction: The path choice of green development in China. Enterprise Economy, 2011,30(10):63-66.
	[ 霍艳丽, 刘彤. 生态经济建设: 中国实现绿色发展的路径选择. 企业经济, 2011,30(10):63-66.]
	[ 霍艳丽, 刘彤. 生态经济建设: 中国实现绿色发展的路径选择. 企业经济, 2011,30(10):63-66.]
[14]	Liu Jiyuan, Deng Xiangzheng, Liu Weidong, et al. Conceptual framework of green development in western China. China Population,Resources and Environment, 2013,23(10):1-7.
	Liu Jiyuan, Deng Xiangzheng, Liu Weidong, et al. Conceptual framework of green development in western China. China Population,Resources and Environment, 2013,23(10):1-7.
	[ 刘纪远, 邓祥征, 刘卫东, 等. 中国西部绿色发展概念框架. 中国人口·资源与环境, 2013,23(10):1-7.]
	[ 刘纪远, 邓祥征, 刘卫东, 等. 中国西部绿色发展概念框架. 中国人口·资源与环境, 2013,23(10):1-7.]
[15]	Deng Yuanjian, Zhang Chenrui, Yuan Hao. The mechanism of ecological capital operation: An analytical framework based on green development. China Population,Resources and Environment, 2012,22(4):19-24.
	Deng Yuanjian, Zhang Chenrui, Yuan Hao. The mechanism of ecological capital operation: An analytical framework based on green development. China Population,Resources and Environment, 2012,22(4):19-24.
	[ 邓远建, 张陈蕊, 袁浩. 生态资本运营机制: 基于绿色发展的分析. 中国人口·资源与环境, 2012,22(4):19-24.]
	[ 邓远建, 张陈蕊, 袁浩. 生态资本运营机制: 基于绿色发展的分析. 中国人口·资源与环境, 2012,22(4):19-24.]
[16]	Zhang Xu, Wei Fuli, Yuan Xumei. Evaluation and evolution of provincial high-quality green development in China. Economic Geography, 2020,40(2):108-116.
	Zhang Xu, Wei Fuli, Yuan Xumei. Evaluation and evolution of provincial high-quality green development in China. Economic Geography, 2020,40(2):108-116.
	[ 张旭, 魏福丽, 袁旭梅. 中国省域高质量绿色发展水平评价与演化. 经济地理, 2020,40(2):108-116.]
	[ 张旭, 魏福丽, 袁旭梅. 中国省域高质量绿色发展水平评价与演化. 经济地理, 2020,40(2):108-116.]
[17]	Armand K. Green growth, green economy and sustainable development: Terminological and relational discourse. Prague Economic Papers, 2017,26(4):487-499. doi: 10.18267/j.pep.626
	Armand K. Green growth, green economy and sustainable development: Terminological and relational discourse. Prague Economic Papers, 2017,26(4):487-499. doi: 10.18267/j.pep.626
[18]	Kortelainen M. Dynamic environmental performance analysis: A Malmquist index approach. Ecological Economics, 2008,64(4):701-715. doi: 10.1016/j.ecolecon.2007.08.001
	Kortelainen M. Dynamic environmental performance analysis: A Malmquist index approach. Ecological Economics, 2008,64(4):701-715. doi: 10.1016/j.ecolecon.2007.08.001
[19]	Carfi D, Schilirò D. A coopetitive model for the green economy. Economic Modelling, 2012,29(4):1215-1219. doi: 10.1016/j.econmod.2012.04.005
	Carfi D, Schilirò D. A coopetitive model for the green economy. Economic Modelling, 2012,29(4):1215-1219. doi: 10.1016/j.econmod.2012.04.005
[20]	Chardine-Baumann E, Botta-Genoulaz V. A framework for sustainable performance assessment of supply chain management practices. Computers & Industrial Engineering, 2014,76:138-147.
	Chardine-Baumann E, Botta-Genoulaz V. A framework for sustainable performance assessment of supply chain management practices. Computers & Industrial Engineering, 2014,76:138-147.
[21]	Bhaskar A, Shah A, Gupta S. 7.5 crore green jobs? Assessing the greenness of MGNREGA work. The Indian Society of Labour Economics, 2017,59(3):441-461.
	Bhaskar A, Shah A, Gupta S. 7.5 crore green jobs? Assessing the greenness of MGNREGA work. The Indian Society of Labour Economics, 2017,59(3):441-461.
[22]	Hasan R. Factors affecting Germany's green development over 1990-2015: A comprehensive environmental analysis. Environmental Science and Pollution Research International, 2019,26(7):36-51.
	Hasan R. Factors affecting Germany's green development over 1990-2015: A comprehensive environmental analysis. Environmental Science and Pollution Research International, 2019,26(7):36-51.
[23]	Sun C Z, Tong Y L, Zou W. The evolution and a temporal-spatial difference analysis of green development in China. Sustainable Cities and Society, 2018,41:52-61. doi: 10.1016/j.scs.2018.05.006
	Sun C Z, Tong Y L, Zou W. The evolution and a temporal-spatial difference analysis of green development in China. Sustainable Cities and Society, 2018,41:52-61. doi: 10.1016/j.scs.2018.05.006
[24]	Ren Jiamin, Ma Yanji. Green development level and the obstacle factors of old industrial base in Northeast China. Scientia Geographica Sinica, 2018,38(7):1042-1050. doi: 10.13249/j.cnki.sgs.2018.07.005
	Ren Jiamin, Ma Yanji. Green development level and the obstacle factors of old industrial base in Northeast China. Scientia Geographica Sinica, 2018,38(7):1042-1050. doi: 10.13249/j.cnki.sgs.2018.07.005
	[ 任嘉敏, 马延吉. 东北老工业基地绿色发展评价及障碍因素分析. 地理科学, 2018,38(7):1042-1050.]
	[ 任嘉敏, 马延吉. 东北老工业基地绿色发展评价及障碍因素分析. 地理科学, 2018,38(7):1042-1050.]
[25]	Guo Yongjie, Mi Wenbao, Zhao Ying. Spatial variation and relevant influence factors of green development levels among the counties in Ningxia. Economic Geography, 2015,35(3):45-52.
	Guo Yongjie, Mi Wenbao, Zhao Ying. Spatial variation and relevant influence factors of green development levels among the counties in Ningxia. Economic Geography, 2015,35(3):45-52.
	[ 郭永杰, 米文宝, 赵莹. 宁夏县域绿色发展水平空间分异及影响因素. 经济地理, 2015,35(3):45-52.]
	[ 郭永杰, 米文宝, 赵莹. 宁夏县域绿色发展水平空间分异及影响因素. 经济地理, 2015,35(3):45-52.]
[26]	Yuan Wenhua, Li Jianchun, Liu Chengqing, et al. A study on evaluation system and spatial effect of green city development: An empirical analysis based on spatial-temporal panel data of 17 cities in Shandong Province. East China Economic Management, 2017,31(5):19-27.
	Yuan Wenhua, Li Jianchun, Liu Chengqing, et al. A study on evaluation system and spatial effect of green city development: An empirical analysis based on spatial-temporal panel data of 17 cities in Shandong Province. East China Economic Management, 2017,31(5):19-27.
	[ 袁文华, 李建春, 刘呈庆, 等. 城市绿色发展评价体系及空间效应研究: 基于山东省17地市时空面板数据的实证分析. 华东经济管理, 2017,31(5):19-27.]
	[ 袁文华, 李建春, 刘呈庆, 等. 城市绿色发展评价体系及空间效应研究: 基于山东省17地市时空面板数据的实证分析. 华东经济管理, 2017,31(5):19-27.]
[27]	Huang Yue, Li Lin. A comprehensive assessment of green development and its spatial-temporal evolution in urban agglomerations of China. Geographical Research, 2017,36(7):1309-1322.
	Huang Yue, Li Lin. A comprehensive assessment of green development and its spatial-temporal evolution in urban agglomerations of China. Geographical Research, 2017,36(7):1309-1322.
	[ 黄跃, 李琳. 中国城市群绿色发展水平综合测度与时空演化. 地理研究, 2017,36(7):1309-1322.]
	[ 黄跃, 李琳. 中国城市群绿色发展水平综合测度与时空演化. 地理研究, 2017,36(7):1309-1322.]
[28]	Ma Yong, Huang Zhixun. Study on spatial-temporal evolution and measurement of green development index of urban agglomerations in the middle reaches of Yangtze River: GWR model based. Ecology and Environmental Sciences, 2017,26(5):794-807.
	Ma Yong, Huang Zhixun. Study on spatial-temporal evolution and measurement of green development index of urban agglomerations in the middle reaches of Yangtze River: GWR model based. Ecology and Environmental Sciences, 2017,26(5):794-807.
	[ 马勇, 黄智洵. 长江中游城市群绿色发展指数测度及时空演变探析: 基于GWR模型. 生态环境学报, 2017,26(5):794-807.]
	[ 马勇, 黄智洵. 长江中游城市群绿色发展指数测度及时空演变探析: 基于GWR模型. 生态环境学报, 2017,26(5):794-807.]
[29]	Cheng Yu, Wang Jingjing, Wang Yaping, et al. A comparative research of the spatial-temporal evolution track and influence mechanism of green development in China. Geographical Research, 2019,38(11):1-21.
	Cheng Yu, Wang Jingjing, Wang Yaping, et al. A comparative research of the spatial-temporal evolution track and influence mechanism of green development in China. Geographical Research, 2019,38(11):1-21.
	[ 程钰, 王晶晶, 王亚平, 等. 中国绿色发展时空演变轨迹与影响机理研究. 地理研究, 2019,38(11):1-21.]
	[ 程钰, 王晶晶, 王亚平, 等. 中国绿色发展时空演变轨迹与影响机理研究. 地理研究, 2019,38(11):1-21.]
[30]	Che Lei, Bai Yongping, Zhou Liang, et al. Spatial pattern and spillover effects of green development efficiency in China. Scientia Geographica Sinica, 2018,38(11):1788-1798. doi: 10.13249/j.cnki.sgs.2018.11.006
	Che Lei, Bai Yongping, Zhou Liang, et al. Spatial pattern and spillover effects of green development efficiency in China. Scientia Geographica Sinica, 2018,38(11):1788-1798. doi: 10.13249/j.cnki.sgs.2018.11.006
	[ 车磊, 白永平, 周亮, 等. 中国绿色发展效率的空间特征及溢出分析. 地理科学, 2018,38(11):1788-1798.]
	[ 车磊, 白永平, 周亮, 等. 中国绿色发展效率的空间特征及溢出分析. 地理科学, 2018,38(11):1788-1798.]
[31]	Lv Bingyang, Yu Danlin. Improving economic efficiency within the framework of China's tiered development model: An analysis from a spatial perspective. Social Sciences in China, 2009(6):60-74.
	Lv Bingyang, Yu Danlin. Improving economic efficiency within the framework of China's tiered development model: An analysis from a spatial perspective. Social Sciences in China, 2009(6):60-74.
	[ 吕冰洋, 余丹林. 中国梯度发展模式下经济效率的增进: 基于空间视角的分析. 中国社会科学, 2009(6):60-74.]
	[ 吕冰洋, 余丹林. 中国梯度发展模式下经济效率的增进: 基于空间视角的分析. 中国社会科学, 2009(6):60-74.]
[32]	Guo Fuyou, Tong Lianjun, Liu Zhigang, et al. Spatial-temporal pattern and influencing factors of industrial ecology in Shandong province: Based on panel data of 17 cities. Geographical Research, 2019,38(9):2226-2238.
	Guo Fuyou, Tong Lianjun, Liu Zhigang, et al. Spatial-temporal pattern and influencing factors of industrial ecology in Shandong province: Based on panel data of 17 cities. Geographical Research, 2019,38(9):2226-2238.
	[ 郭付友, 佟连军, 刘志刚, 等. 山东省产业生态化时空分异特征与影响因素: 基于17地市时空面板数据. 地理研究, 2019,38(9):2226-2238.]
	[ 郭付友, 佟连军, 刘志刚, 等. 山东省产业生态化时空分异特征与影响因素: 基于17地市时空面板数据. 地理研究, 2019,38(9):2226-2238.]
[33]	Liu Yaobin, Yuan Huaxi, Wang Zhe. Dynamic panel data modeling of the effects of cultural industry clusters on green economic efficiency. Resources Science, 2017,39(4):747-755.
	Liu Yaobin, Yuan Huaxi, Wang Zhe. Dynamic panel data modeling of the effects of cultural industry clusters on green economic efficiency. Resources Science, 2017,39(4):747-755.
	[ 刘耀彬, 袁华锡, 王喆. 文化产业集聚对绿色经济效率的影响: 基于动态面板模型的实证分析. 资源科学, 2017,39(4):747-755.]
	[ 刘耀彬, 袁华锡, 王喆. 文化产业集聚对绿色经济效率的影响: 基于动态面板模型的实证分析. 资源科学, 2017,39(4):747-755.]
[34]	Zhao Lingdi, Zhang Lei, Xu Le, et al. Mechanism of human capital, industrial structure adjustment and green development efficiency. China Population, Resources and Environment, 2016,26(11):106-114.
	Zhao Lingdi, Zhang Lei, Xu Le, et al. Mechanism of human capital, industrial structure adjustment and green development efficiency. China Population, Resources and Environment, 2016,26(11):106-114.
	[ 赵领娣, 张磊, 徐乐, 等. 人力资本、产业结构调整与绿色发展效率的作用机制. 中国人口·资源与环境, 2016,26(11):106-114.]
	[ 赵领娣, 张磊, 徐乐, 等. 人力资本、产业结构调整与绿色发展效率的作用机制. 中国人口·资源与环境, 2016,26(11):106-114.]
[35]	Guo Fuyou, Tong Lianjun, Wei Qiang, et al. Spatial-temporal differentiation and influencing factors of industrial system eco-efficiency in the Songhua River Basin of Jilin province. Geographical Research, 2016,35(8):1483-1494.
	Guo Fuyou, Tong Lianjun, Wei Qiang, et al. Spatial-temporal differentiation and influencing factors of industrial system eco-efficiency in the Songhua River Basin of Jilin province. Geographical Research, 2016,35(8):1483-1494.
	[ 郭付友, 佟连军, 魏强, 等. 松花江流域(吉林省段)产业系统生态效率时空分异与影响因素. 地理研究, 2016,35(8):1483-1494.]
	[ 郭付友, 佟连军, 魏强, 等. 松花江流域(吉林省段)产业系统生态效率时空分异与影响因素. 地理研究, 2016,35(8):1483-1494.]
[36]	Jin P Z, Peng C, Song M L. Macroeconomic uncertainty, high-level innovation, and urban green development performance in China. China Economic Review, 2019,55:1-18. doi: 10.1016/j.chieco.2019.02.008
	Jin P Z, Peng C, Song M L. Macroeconomic uncertainty, high-level innovation, and urban green development performance in China. China Economic Review, 2019,55:1-18. doi: 10.1016/j.chieco.2019.02.008
[37]	Shao S, Luan R R, Yang Z B, et al. Does directed technological change get greener: Empirical evidence from Shanghai's industrial green development transformation. Ecological Indicators, 2016,69:758-770. doi: 10.1016/j.ecolind.2016.04.050
	Shao S, Luan R R, Yang Z B, et al. Does directed technological change get greener: Empirical evidence from Shanghai's industrial green development transformation. Ecological Indicators, 2016,69:758-770. doi: 10.1016/j.ecolind.2016.04.050
[38]	Yang Boqiong, Wang Xiaobing, Yang Jun, et al. Green growth in China and the orientation of foreign direct investment. China Population,Resources and Environment, 2013,23(10):119-126.
	Yang Boqiong, Wang Xiaobing, Yang Jun, et al. Green growth in China and the orientation of foreign direct investment. China Population,Resources and Environment, 2013,23(10):119-126.
	[ 杨博琼, 王晓兵, 杨军, 等. 中国绿色发展和外商直接投资政策选择. 中国人口·资源与环境, 2013,23(10):119-126.]
	[ 杨博琼, 王晓兵, 杨军, 等. 中国绿色发展和外商直接投资政策选择. 中国人口·资源与环境, 2013,23(10):119-126.]
[39]	Yu Chengxue, Ge Rendong. Impact of resource development and utilization on local green development: A case of Liaoning Province. China Population,Resources and Environment, 2015,25(6):121-126.
	Yu Chengxue, Ge Rendong. Impact of resource development and utilization on local green development: A case of Liaoning Province. China Population,Resources and Environment, 2015,25(6):121-126.
	[ 于成学, 葛仁东. 资源开发利用对地区绿色发展的影响研究: 以辽宁省为例. 中国人口·资源与环境, 2015,25(6):121-126.]
	[ 于成学, 葛仁东. 资源开发利用对地区绿色发展的影响研究: 以辽宁省为例. 中国人口·资源与环境, 2015,25(6):121-126.]
[40]	Zhang Guojun, Deng Maoying, Yao Yangyang, et al. Comprehensive level of the green development of industry in Guangdong province and spatial econometric analysis of the influencing factors. Journal of Natural Resources, 2019,34(8):1593-1605.
	Zhang Guojun, Deng Maoying, Yao Yangyang, et al. Comprehensive level of the green development of industry in Guangdong province and spatial econometric analysis of the influencing factors. Journal of Natural Resources, 2019,34(8):1593-1605.
	[ 张国俊, 邓毛颖, 姚洋洋, 等. 广东省产业绿色发展的空间格局及影响因素分析. 自然资源学报, 2019,34(8):1593-1605.]
	[ 张国俊, 邓毛颖, 姚洋洋, 等. 广东省产业绿色发展的空间格局及影响因素分析. 自然资源学报, 2019,34(8):1593-1605.]
[41]	Lu Dadao, Sun Dongqi. Development and management tasks of the Yellow River Basin: A preliminary understanding and suggestion. Acta Geographica Sinica, 2019,74(12):2431-2436.
	Lu Dadao, Sun Dongqi. Development and management tasks of the Yellow River Basin: A preliminary understanding and suggestion. Acta Geographica Sinica, 2019,74(12):2431-2436.
	[ 陆大道, 孙东琪. 黄河流域的综合治理与可持续发展. 地理学报, 2019,74(12):2431-2436.]
	[ 陆大道, 孙东琪. 黄河流域的综合治理与可持续发展. 地理学报, 2019,74(12):2431-2436.]
[42]	Li Minna, Cai Shu, Zhang Huirong, et al. Factor endowment and the economic spatial dissimilarity in the Yellow River Valley. Economic Geography, 2011,31(1):14-20.
	Li Minna, Cai Shu, Zhang Huirong, et al. Factor endowment and the economic spatial dissimilarity in the Yellow River Valley. Economic Geography, 2011,31(1):14-20.
	[ 李敏纳, 蔡舒, 张慧蓉, 等. 要素禀赋与黄河流域经济空间分异研究. 经济地理, 2011,31(1):14-20.]
	[ 李敏纳, 蔡舒, 张慧蓉, 等. 要素禀赋与黄河流域经济空间分异研究. 经济地理, 2011,31(1):14-20.]
[43]	Zhang Pengyan, Li Yanyan, Kang Guohua, et al. A study on estimates and spatial differentiation of economic density at county level in Yellow River Basin. China Population,Resources and Environment, 2017,27(8):128-135.
	Zhang Pengyan, Li Yanyan, Kang Guohua, et al. A study on estimates and spatial differentiation of economic density at county level in Yellow River Basin. China Population,Resources and Environment, 2017,27(8):128-135.
	[ 张鹏岩, 李颜颜, 康国华, 等. 黄河流域县域经济密度测算及空间分异研究. 中国人口·资源与环境, 2017,27(8):128-135.]
	[ 张鹏岩, 李颜颜, 康国华, 等. 黄河流域县域经济密度测算及空间分异研究. 中国人口·资源与环境, 2017,27(8):128-135.]
[44]	Zhou Xiaoyan, Hao Huidi, Ye Xinyue, et al. A spatial-temporal analysis of regional economic inequality in Yellow River Valley. Human Geography, 2016,31(5):119-125.
	Zhou Xiaoyan, Hao Huidi, Ye Xinyue, et al. A spatial-temporal analysis of regional economic inequality in Yellow River Valley. Human Geography, 2016,31(5):119-125.
	[ 周晓艳, 郝慧迪, 叶信岳, 等. 黄河流域区域经济差异的时空动态分析. 人文地理, 2016,31(5):119-125.]
	[ 周晓艳, 郝慧迪, 叶信岳, 等. 黄河流域区域经济差异的时空动态分析. 人文地理, 2016,31(5):119-125.]
[45]	Chen Mingxing, Lu Dadao, Zhang Hua. Comprehensive evaluation and the driving factors of China's urbanization. Acta Geographica Sinica, 2009,64(4):387-398. doi: 10.11821/xb200904001
	Chen Mingxing, Lu Dadao, Zhang Hua. Comprehensive evaluation and the driving factors of China's urbanization. Acta Geographica Sinica, 2009,64(4):387-398. doi: 10.11821/xb200904001
	[ 陈明星, 陆大道, 张华. 中国城市化水平的综合测度及其动力因子分析. 地理学报, 2009,64(4):387-398.]
	[ 陈明星, 陆大道, 张华. 中国城市化水平的综合测度及其动力因子分析. 地理学报, 2009,64(4):387-398.]
[46]	Zheng Yanting, Wang Shaofei, Dai Lizhu, et al. Spatial and temporal evolution of manufacturing in the middle reaches of the Yangtze River based on micro enterprise data. Economic Geography, 2018,38(5):117-125.
	Zheng Yanting, Wang Shaofei, Dai Lizhu, et al. Spatial and temporal evolution of manufacturing in the middle reaches of the Yangtze River based on micro enterprise data. Economic Geography, 2018,38(5):117-125.
	[ 郑艳婷, 王韶菲, 戴荔珠, 等. 长江中游地区制造业企业时空演化格局. 经济地理, 2018,38(5):117-125.]
	[ 郑艳婷, 王韶菲, 戴荔珠, 等. 长江中游地区制造业企业时空演化格局. 经济地理, 2018,38(5):117-125.]
[47]	Yu Bo, Yang Xu, Wu Xiangli, et al. Spatial evolution and influencing factors of urban environmental pollution supervision level in China. Geographical Research, 2019,38(7):1777-1790.
	Yu Bo, Yang Xu, Wu Xiangli, et al. Spatial evolution and influencing factors of urban environmental pollution supervision level in China. Geographical Research, 2019,38(7):1777-1790.
	[ 于博, 杨旭, 吴相利, 等. 中国城市环境污染监管水平的空间演化特征与影响因素. 地理研究, 2019,38(7):1777-1790.]
	[ 于博, 杨旭, 吴相利, 等. 中国城市环境污染监管水平的空间演化特征与影响因素. 地理研究, 2019,38(7):1777-1790.]
[48]	Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective. Acta Geographica Sinica, 2017,72(1):116-134. doi: 10.11821/dlxb201701010
	Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective. Acta Geographica Sinica, 2017,72(1):116-134. doi: 10.11821/dlxb201701010
	[ 王劲峰, 徐成东. 地理探测器: 原理与展望. 地理学报, 2017,72(1):116-134.]
	[ 王劲峰, 徐成东. 地理探测器: 原理与展望. 地理学报, 2017,72(1):116-134.]
[49]	Guo Weidong, Zhong Yexi, Feng Xinghua, et al. County-level highway network centrality of urban agglomerations and its influencing factors in the middle reaches of the Yangtze River. Economic Geography, 2019,39(4):34-42.
	Guo Weidong, Zhong Yexi, Feng Xinghua, et al. County-level highway network centrality of urban agglomerations and its influencing factors in the middle reaches of the Yangtze River. Economic Geography, 2019,39(4):34-42.
	[ 郭卫东, 钟业喜, 冯兴华, 等. 长江中游城市群县域公路交通网络中心性及其影响因素. 经济地理, 2019,39(4):34-42.]
	[ 郭卫东, 钟业喜, 冯兴华, 等. 长江中游城市群县域公路交通网络中心性及其影响因素. 经济地理, 2019,39(4):34-42.]
[50]	Zhou Liang, Che Lei, Zhou Chenghu. Spatio-temporal evolution and influencing factors of urban green development efficiency in China. Acta Geographica Sinica, 2019,74(10):2027-2044. doi: 10.11821/dlxb201910006
	Zhou Liang, Che Lei, Zhou Chenghu. Spatio-temporal evolution and influencing factors of urban green development efficiency in China. Acta Geographica Sinica, 2019,74(10):2027-2044. doi: 10.11821/dlxb201910006
	[ 周亮, 车磊, 周成虎. 中国城市绿色发展效率时空演变特征及影响因素. 地理学报, 2019,74(10):2027-2044.]
	[ 周亮, 车磊, 周成虎. 中国城市绿色发展效率时空演变特征及影响因素. 地理学报, 2019,74(10):2027-2044.]
[51]	Guo Fuyou, Lyu Xiao, Yu Wei, et al. Performance evaluation and driving mechanism of green development in Shandong Province based on panel data of 17 cities. Scientia Geographica Sinica, 2020,40(2):200-210.
	Guo Fuyou, Lyu Xiao, Yu Wei, et al. Performance evaluation and driving mechanism of green development in Shandong Province based on panel data of 17 cities. Scientia Geographica Sinica, 2020,40(2):200-210.
	[ 郭付友, 吕晓, 于伟, 等. 山东省绿色发展水平绩效评价与驱动机制: 基于17地市面板数据. 地理科学, 2020,40(2):200-210.]
	[ 郭付友, 吕晓, 于伟, 等. 山东省绿色发展水平绩效评价与驱动机制: 基于17地市面板数据. 地理科学, 2020,40(2):200-210.]
[52]	Fan Jie, Wang Yafei, Wang Yixuan. High quality regional development research based on geographical units: Discuss on the difference in development conditions and priorities of the Yellow River Basin compared to the Yangtze River Basin. Economic Geography, 2020,40(1):1-11. doi: 10.2307/142170
	Fan Jie, Wang Yafei, Wang Yixuan. High quality regional development research based on geographical units: Discuss on the difference in development conditions and priorities of the Yellow River Basin compared to the Yangtze River Basin. Economic Geography, 2020,40(1):1-11. doi: 10.2307/142170
	[ 樊杰, 王亚飞, 王怡轩. 基于地理单元的区域高质量发展研究: 兼论黄河流域同长江流域发展的条件差异及重点. 经济地理, 2020,40(1):1-11.]
	[ 樊杰, 王亚飞, 王怡轩. 基于地理单元的区域高质量发展研究: 兼论黄河流域同长江流域发展的条件差异及重点. 经济地理, 2020,40(1):1-11.]

系统层	准则层	指标层	指标含义	W_j(2005)	W_j(2011)	W_j(2017)
绿色发展水平(LS)	经济绿化度(JL)	人均GDP	反映经济总体发展水平	0.0503	0.0553	0.0268
		人均社会消费品零售总额	反映市场消费能力	0.0534	0.0460	0.0626
		第二产业增加值/第三产业增加值	反映产业结构特征	0.0314	0.0255	0.0335
		二三产业增加值总额	反映产业规模特征	0.0730	0.0662	0.0735
		人均实际利用外资	反映经济外向依赖能力	0.1868	0.1547	0.1519
	社会绿化度(SL)	万人拥有公共汽车数	衡量公共服务设施情况	0.0358	0.0337	0.0715
		人均城市道路面积	反映社会基础设施情况	0.0256	0.0441	0.0681
		人均供水总量	反映社会供水保障能力	0.0907	0.0986	0.0954
		人均全年用电量	反映社会供电保障能力	0.1178	0.1217	0.0817
		人均城乡居民储蓄存款余额	反映社会整体富裕水平	0.0329	0.0831	0.0247
	环境绿化度(HL)	人均绿地面积	反映生态环境保育水平	0.0365	0.0596	0.0816
		人均工业废水排放量	反映污染排放水平	0.0024	0.0086	0.0022
		人均工业SO₂排放量	反映污染排放水平	0.0058	0.0036	0.0011
		万元GDP水耗	反映资源利用水平	0.0119	0.0015	0.0017
		万元GDP电耗	反映资源利用水平	0.0007	0.0008	0.0066
	政府支持度(GS)	科学技术支出/一般公共预算支出	反映科学技术支持力度	0.0784	0.0311	0.0468
		产业高级化系数	反映产业优化改造力度	0.0621	0.0677	0.0406
		民营经济发展指数	反映市场环境支持力度	0.0282	0.0314	0.0453
		人均固定资产投资	反映政府投资强度	0.0454	0.0399	0.0505
		市场组织结构指数	反映企业规模化程度	0.0311	0.0270	0.0339

年份	流域	经济绿化度	社会绿化度	环境绿化度	政府支持度	绿色发展水平
2005	上游地区	0.0541	0.0712	0.0262	0.0513	0.2015
	中游地区	0.0400	0.0400	0.0258	0.0392	0.1450
	下游地区	0.0866	0.0579	0.0322	0.0442	0.2209
2011	上游地区	0.0818	0.0575	0.0168	0.0468	0.2029
	中游地区	0.0488	0.0402	0.0155	0.0448	0.1493
	下游地区	0.0624	0.0872	0.0193	0.0537	0.2226
2017	上游地区	0.0455	0.1049	0.0343	0.0437	0.2284
	中游地区	0.0476	0.0459	0.0185	0.0343	0.1463
	下游地区	0.0795	0.0664	0.0256	0.0457	0.2173

年份	流域	经济绿化度	社会绿化度	环境绿化度	政府支持度	绿色发展水平
2005	上游地区	0.0541	0.0712	0.0262	0.0513	0.2015
	中游地区	0.0400	0.0400	0.0258	0.0392	0.1450
	下游地区	0.0866	0.0579	0.0322	0.0442	0.2209
2011	上游地区	0.0818	0.0575	0.0168	0.0468	0.2029
	中游地区	0.0488	0.0402	0.0155	0.0448	0.1493
	下游地区	0.0624	0.0872	0.0193	0.0537	0.2226
2017	上游地区	0.0455	0.1049	0.0343	0.0437	0.2284
	中游地区	0.0476	0.0459	0.0185	0.0343	0.1463
	下游地区	0.0795	0.0664	0.0256	0.0457	0.2173

年份	高高(HH)	低高(LH)	高低(HL)	低低(LL)
2005	潍坊、石嘴山、莱芜、德州、鄂尔多斯、济南、淄博、呼和浩特、乌海、包头、东营、青岛(12)	朔州、商洛、聊城、武威、忻州、泰安、乌兰察布、滨州、巴彦淖尔(9)	西宁、银川、焦作、济宁、洛阳、郑州、西安、太原、兰州(9）	其余地级市(31)
2011	潍坊、石嘴山、莱芜、鄂尔多斯、济南、淄博、呼和浩特、乌海、包头、东营、青岛、郑州(12)	朔州、商洛、聊城、武威、忻州、泰安、乌兰察布、滨州、巴彦淖尔、德州、吴忠、晋中、榆林、阳泉(14)	西宁、银川、焦作、洛阳、太原、西安、兰州、三门峡(8)	其余地级市(27)
2017	潍坊、石嘴山、莱芜、鄂尔多斯、济南、淄博、呼和浩特、乌海、包头、东营、青岛、银川、滨州(13)	朔州、商洛、聊城、泰安、忻州、乌兰察布、巴彦淖尔、吴忠、德州(9)	西宁、西安、郑州、洛阳、鹤壁、三门峡、兰州、太原(8)	其余地级市(31)

年份	高高(HH)	低高(LH)	高低(HL)	低低(LL)
2005	潍坊、石嘴山、莱芜、德州、鄂尔多斯、济南、淄博、呼和浩特、乌海、包头、东营、青岛(12)	朔州、商洛、聊城、武威、忻州、泰安、乌兰察布、滨州、巴彦淖尔(9)	西宁、银川、焦作、济宁、洛阳、郑州、西安、太原、兰州(9）	其余地级市(31)
2011	潍坊、石嘴山、莱芜、鄂尔多斯、济南、淄博、呼和浩特、乌海、包头、东营、青岛、郑州(12)	朔州、商洛、聊城、武威、忻州、泰安、乌兰察布、滨州、巴彦淖尔、德州、吴忠、晋中、榆林、阳泉(14)	西宁、银川、焦作、洛阳、太原、西安、兰州、三门峡(8)	其余地级市(27)
2017	潍坊、石嘴山、莱芜、鄂尔多斯、济南、淄博、呼和浩特、乌海、包头、东营、青岛、银川、滨州(13)	朔州、商洛、聊城、泰安、忻州、乌兰察布、巴彦淖尔、吴忠、德州(9)	西宁、西安、郑州、洛阳、鹤壁、三门峡、兰州、太原(8)	其余地级市(31)

Spatio-temporal differentiation characteristics and influencing factors of green development in the eco-economic corridorof the Yellow River Basin

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 13

References 52

Related Articles 15

Metrics

Comments

探测因子	2005年				2011年				2017年
探测因子	上游	中游	下游	流域	上游	中游	下游	流域	上游	中游	下游	流域
x₁	0.4321	0.0350	0.3148	0.1116	0.1275	0.1621	0.0947	0.0216	0.2608	0.1055	0.8255	0.2274
x₂	0.8919	0.6758	0.8230	0.8102	0.8947	0.5424	0.8449	0.7701	0.8270	0.6718	0.6611	0.5498
x₃	0.5922	0.3919	0.3598	0.4946	0.6849	0.3002	0.2723	0.3405	0.4327	0.1307	0.0643	0.0806
x₄	0.7995	0.4841	0.3164	0.4050	0.5384	0.4707	0.5413	0.4384	0.3510	0.4670	0.7847	0.4550
x₅	0.5759	0.4526	0.3447	0.2124	0.7595	0.6378	0.3693	0.2814	0.5039	0.3981	0.7546	0.3266
x₆	0.1298	0.0067	0.3023	0.1318	0.2658	0.0507	0.4159	0.2438	0.1754	0.0431	0.3045	0.1576
x₇	0.1686	0.0584	0.1496	0.0840	0.2024	0.0353	0.0254	0.0805	0.1597	0.1540	0.0734	0.0274
x₈	0.2220	0.1307	0.0243	0.1904	0.1837	0.0768	0.1667	0.1830	0.6149	0.0452	0.1786	0.1040
x₉	0.0385	0.1288	0.6951	0.1001	0.1595	0.0940	0.4865	0.1270	0.1431	0.1456	0.6959	0.1128

[1]	HU Pan, CHEN Bo, SHI Peijun. Spatiotemporal patterns and influencing factors of rainstorm-induced flood disasters in China [J]. Acta Geographica Sinica, 2021, 76(5): 1148-1162.
[2]	XU Yu, LI Xiubin, XIN Liangjie. Differentiation of scale-farmland transfer rent and its influencing factors in China [J]. Acta Geographica Sinica, 2021, 76(3): 753-763.
[3]	CAO Zhi, LIU Yansui, LI Yurui, WANG Yongsheng. Spatial pattern and its influencing factors of specialized villages and towns in China [J]. Acta Geographica Sinica, 2020, 75(8): 1647-1666.
[4]	WANG Cheng, HE Yanzhou. Spatio-temporal differentiation and differentiated regulation of the vulnerability of rural production space system in Chongqing [J]. Acta Geographica Sinica, 2020, 75(8): 1680-1698.
[5]	WEI Suhao, LI Jing, LI Zeyi, ZONG Gang. Spatio-temporal evolution and its influencing factors of China's agricultural competitiveness [J]. Acta Geographica Sinica, 2020, 75(6): 1287-1300.
[6]	CHENG Changxiu, SONG Changqing, WU Xiaojing, SHEN Shi, GAO Peichao, YE Sijing. Tri-clustering: Construction and practice of space-time integrated analysis tool [J]. Acta Geographica Sinica, 2020, 75(5): 904-916.
[7]	LIU Min, HAO Wei. Spatial distribution and its influencing factors of national A-level tourist attractions in Shanxi Province [J]. Acta Geographica Sinica, 2020, 75(4): 878-888.
[8]	DAI Erfu, WANG Yahui. Spatial heterogeneity and driving mechanisms of water yield service in the Hengduan Mountain region [J]. Acta Geographica Sinica, 2020, 75(3): 607-619.
[9]	DUAN Dezhong, DU Debin. Structural evolution of global high-tech trade system: Products, networks and influencing factors [J]. Acta Geographica Sinica, 2020, 75(12): 2759-2776.
[10]	YANG Qingshan, LIU Jian, ZHANG Yu, YANG Weixu. Multi-scale factors influencing the evolution of Manzhouli port-city relationship [J]. Acta Geographica Sinica, 2020, 75(10): 2146-2163.
[11]	ZHOU Yang, HUANG Han, LIU Yansui. The spatial distribution characteristics and influencing factors of Chinese villages [J]. Acta Geographica Sinica, 2020, 75(10): 2206-2223.
[12]	ZHANG Kaihuang, QIAN Qinglan, YANG Qingsheng. An analysis of multilevel variables influencing China's land urbanization process [J]. Acta Geographica Sinica, 2020, 75(1): 179-193.
[13]	PENG Wenfu, ZHANG Dongmei, LUO Yanmei, TAO Shuai, XU Xinliang. Influence of natural factors on vegetation NDVI using geographical detection in Sichuan Province [J]. Acta Geographica Sinica, 2019, 74(9): 1758-1776.
[14]	SONG Xueqian,DENG Wei,ZHOU Peng,ZHANG Shaoyao,WAN Jiangjun,LIU Ying. Spatial equity and influences of two-level public healthcare resources:A background to hierarchical diagnosis and treatment reform in China [J]. Acta Geographica Sinica, 2019, 74(6): 1178-1189.
[15]	Chao WANG, Aike KAN, Yelong ZENG, Guoqing LI, Min WANG, Ren CI. Population distribution pattern and influencing factors in Tibet based on random forest model [J]. Acta Geographica Sinica, 2019, 74(4): 664-680.