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The Spatio-Temporal Heterogeneity of Financial Agglomeration on Green Development in China Cities Using GTWR Model

文献类型：期刊论文

作者Yuan, Huaxi1; Feng, Yidai2,3; Lee, Jay4,5; Liu, Haimeng6
刊名SUSTAINABILITY
出版日期2020-08-01
卷号12期号:16页码:19
关键词financial agglomeration green development spatial autocorrelation spatio-temporal heterogeneity GTWR China
DOI10.3390/su12166660
通讯作者Feng, Yidai(fyidai118@163.com) ; Lee, Jay(jlee@kent.edu)
英文摘要By promoting financial agglomerations to support green development in a region is a keyway for China to resolve the sharp contradiction between economic growth and environmental protection. However, existing research only considered the promotion effect of financial agglomerations on green development, but the spatio-temporal non-stationarity of that effect has been overlooked. Using a panel data of 285 prefecture-level cities in China and based on the evaluation of green development by a Driving-Pressure-State-Impact-Response (DPSIR) model, this paper analyzes the spatial correlation of financial agglomeration on green development. The paper also investigates the differences in the spatio-temporal influence of financial agglomeration on green development from both global and local perspectives by employing a Bivariate Local Indicators of Spatial Association (BLISA) model and a Geographically and Temporally Weighted Regression (GTWR) model. The results indicate that: (1) There exists significant spatial dependency between financial agglomeration and green development from 2003 to 2015, with Low-Low (L-L) and Low-High (L-H) spatial clusters as the main cluster types. (2) From the local perspective, the promoting effect of financial agglomerations on green development has showed significant spatial heterogeneity with a gradually decreasing trend from the southeast coast to the northwest inland of China. This work can help to develop policies for supporting green development by formulating differential strategies for financial agglomerations.
WOS关键词TEMPORALLY WEIGHTED REGRESSION ; ENVIRONMENTAL KUZNETS CURVE ; ECONOMIC-GROWTH ; ENERGY-CONSUMPTION ; CO2 EMISSIONS ; EMPIRICAL-EVIDENCE ; DEVELOPMENT LEVEL ; URBANIZATION ; IMPACT ; OUTPUT
资助项目Major Program of National Social Science Foundation of China[18ZDA047] ; Major program of the key research base of humanities and social sciences of the Ministry of Education of China[17JJD790011]
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000578910300001
出版者MDPI
资助机构Major Program of National Social Science Foundation of China ; Major program of the key research base of humanities and social sciences of the Ministry of Education of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/157071]  
专题中国科学院地理科学与资源研究所
通讯作者Feng, Yidai; Lee, Jay
作者单位1.Zhongnan Univ Econ & Law, Econ Sch, Wuhan 430074, Peoples R China
2.Nanchang Univ, Sch Econ & Management, Nanchang 330031, Jiangxi, Peoples R China
3.Univ N Carolina, Dept City & Reg Planning, Chapel Hill, NC 27599 USA
4.Henan Univ, Coll Environm & Planning, Kaifeng 475001, Peoples R China
5.Kent State Univ, Dept Geog, Kent, OH 44242 USA
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res IGSNRR, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Yuan, Huaxi,Feng, Yidai,Lee, Jay,et al. The Spatio-Temporal Heterogeneity of Financial Agglomeration on Green Development in China Cities Using GTWR Model[J]. SUSTAINABILITY,2020,12(16):19.
APA Yuan, Huaxi,Feng, Yidai,Lee, Jay,&Liu, Haimeng.(2020).The Spatio-Temporal Heterogeneity of Financial Agglomeration on Green Development in China Cities Using GTWR Model.SUSTAINABILITY,12(16),19.
MLA Yuan, Huaxi,et al."The Spatio-Temporal Heterogeneity of Financial Agglomeration on Green Development in China Cities Using GTWR Model".SUSTAINABILITY 12.16(2020):19.

入库方式： OAI收割

来源：地理科学与资源研究所

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