Revealing the heterogeneous effects of new urbanization on urban-rural inequality using geographically weighted quantile regression
文献类型:期刊论文
作者 | Sun, Biao1,2; Fang, Chuanglin1,2; Liao, Xia1,2; Liu, Menghang1,2; Liu, Zhitao1,2; Guo, Xiaomin1,2 |
刊名 | APPLIED GEOGRAPHY |
出版日期 | 2023-10-01 |
卷号 | 159页码:9 |
ISSN号 | 0143-6228 |
关键词 | New urbanization Urban-rural inequality Urban-rural integration Geographically weighted quantile regression China |
DOI | 10.1016/j.apgeog.2023.103082 |
通讯作者 | Fang, Chuanglin(fangcl@igsnrr.ac.cn) |
英文摘要 | China's new urbanization (NU) plan prioritizes reducing urban-rural inequality (URI) and promoting urban-rural integration. Although previous studies have examined the impact of NU on URI, the heterogeneity of this impact has not been extensively considered. This paper establishes an analytical framework to explore the impacts of NU on URI while accounting for spatial and response heterogeneities. By using data collected from 286 Chinese cities, we assessed the performances of NU first, and measure the degree of URI second, and accordingly estimated the heterogenous impacts of NU on URI using geographically weighted quantile regression (GWQR) model. We found that URI and NU are spatially uneven and both show skewed distributions. The benchmark regression model shows that NU tends to reduce URI, while the GWQR model confirms that the impacts of NU on URI are spatially heterogeneous and change with the degree of inequality. Specifically, the narrowing impacts of NU on URI are more profound in western China than in eastern China and such impacts become stronger as URI increases. These findings suggest that the implementation of NU should be tailored to the local geographical and socioeconomic conditions. |
WOS关键词 | CHINA ; PATTERNS ; GROWTH ; MODEL |
资助项目 | Innovative Research Group Project of the National Natural Science Foundation of China[42121001] |
WOS研究方向 | Geography |
语种 | 英语 |
出版者 | ELSEVIER SCI LTD |
WOS记录号 | WOS:001066450500001 |
资助机构 | Innovative Research Group Project of the National Natural Science Foundation of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/198129] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Fang, Chuanglin |
作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Sun, Biao,Fang, Chuanglin,Liao, Xia,et al. Revealing the heterogeneous effects of new urbanization on urban-rural inequality using geographically weighted quantile regression[J]. APPLIED GEOGRAPHY,2023,159:9. |
APA | Sun, Biao,Fang, Chuanglin,Liao, Xia,Liu, Menghang,Liu, Zhitao,&Guo, Xiaomin.(2023).Revealing the heterogeneous effects of new urbanization on urban-rural inequality using geographically weighted quantile regression.APPLIED GEOGRAPHY,159,9. |
MLA | Sun, Biao,et al."Revealing the heterogeneous effects of new urbanization on urban-rural inequality using geographically weighted quantile regression".APPLIED GEOGRAPHY 159(2023):9. |
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。