Does economic development improve urban greening? Evidence from 289 cities in China using spatial regression models
文献类型:期刊论文
作者 | Li, Fangzheng1; Wang, Xiyue1; Liu, Haimeng2; Li, Xiong1; Zhang, Xi1; Sun, Yue1; Wang, Yuhong1 |
刊名 | ENVIRONMENTAL MONITORING AND ASSESSMENT
![]() |
出版日期 | 2018-09-01 |
卷号 | 190期号:9页码:19 |
关键词 | Urban greening Economic growth Urban environment Spatial variation Geographically weighted regression China |
ISSN号 | 0167-6369 |
DOI | 10.1007/s10661-018-6871-4 |
通讯作者 | Li, Xiong(lixiong@bjfu.edu.cn) |
英文摘要 | Significant differences in urban greening have occurred in Chinese cities, accompanied by China's rapid urbanization. However, there are relatively few studies on the spatial differentiation of urban greening in China at the city level. In addition, there is no unanimous conclusion on the main factors influencing the spatial differentiation of urban greening. Based on 2014 emission inventory data from 289 cities, the spatial differentiation pattern and spatial correlation characteristics of the urban green space ratio, urban green coverage rate, and public green area per capita were calculated and analyzed using global and local Moran's I. We then used ordinary least squares, spatial error model, spatial autoregression, and geographically weighted regression to quantify the impact and spatial variations of China's economy on urban greening. The results showed (1) a significant spatial dependence and heterogeneity existed in urban greening values, and the patterns showed influences of both the stage of economic development and spatial agglomeration; (2) regression models revealed per capita GDP had a positive effect on the urban green space ratio and public green area per capita while the urbanization rate, secondary industry, urban land, and population density had opposite effects on these two greening indexes; and (3) geographically weighted regression revealed per capita GDP had a greater influence on urban greening in the northwestern region than in the southeastern region. The study could constitute a valuable reference for mid-to-long-term green space planning policy in diverse parts of China and could further assist in coordinating the development of urban greening and economic growth. |
WOS关键词 | LAND-USE ; SPACE COVERAGE ; TEMPORAL TREND ; URBANIZATION ; POPULATION ; EMISSIONS ; POLLUTION ; IMPACTS ; DENSITY ; DESIGN |
资助项目 | National Natural Science Foundation of China[31670704] ; Research and Development Plan of Beijing Municipal Science and Technology Commission[D17110900710000] ; China Postdoctoral Science Foundation[2018M630196] ; State Key Laboratory of Subtropical Building Science[2017ZB09] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000442543700001 |
出版者 | SPRINGER |
资助机构 | National Natural Science Foundation of China ; Research and Development Plan of Beijing Municipal Science and Technology Commission ; China Postdoctoral Science Foundation ; State Key Laboratory of Subtropical Building Science |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/54414] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Li, Xiong |
作者单位 | 1.Beijing Forestry Univ, Sch Landscape Architecture, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Fangzheng,Wang, Xiyue,Liu, Haimeng,et al. Does economic development improve urban greening? Evidence from 289 cities in China using spatial regression models[J]. ENVIRONMENTAL MONITORING AND ASSESSMENT,2018,190(9):19. |
APA | Li, Fangzheng.,Wang, Xiyue.,Liu, Haimeng.,Li, Xiong.,Zhang, Xi.,...&Wang, Yuhong.(2018).Does economic development improve urban greening? Evidence from 289 cities in China using spatial regression models.ENVIRONMENTAL MONITORING AND ASSESSMENT,190(9),19. |
MLA | Li, Fangzheng,et al."Does economic development improve urban greening? Evidence from 289 cities in China using spatial regression models".ENVIRONMENTAL MONITORING AND ASSESSMENT 190.9(2018):19. |
入库方式: OAI收割
来源:地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。