Coupling coordination degree spatial analysis and driving factor between socio-economic and eco-environment in northern China
文献类型：期刊论文
| 作者 | Liang Li1,2; Zhang Fan1; Wu Feng1; Chen Yuxin3; Qin Keyu4 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2022-02-01 |
| 卷号 | 135页码:10 |
| ISSN号 | 1470-160X |
| 关键词 | Economic development Ecological environment Coupling coordination degree Spatial autocorrelation Geographical detector |
| DOI | 10.1016/j.ecolind.2022.108555 |
| 通讯作者 | Zhang Fan(zhangf.ccap@igsnrr.ac.cn) |
| 英文摘要 | Coordinating ecological and socioeconomic development is the only way to achieve regional sustainability. In this paper, the total output value of ecosystem services was selected to evaluate the ecological environment, and socioeconomic indicators were selected to evaluate socioeconomic development. The coupling coordination degree (CCD) between the ecological environment and economy of counties in northern China was evaluated by combining an entropy method and a coupling coordination model. Spatial autocorrelation and a geographical detector model were used to reveal the spatial agglomeration characteristics and factors that influence the coordination degree of the ecological-economic system in northern China. Results showed that, in 2019, most counties were in the ecological-economic transition development stage. Among them, 321 counties had a CCD index between 0.4 and 0.5 (basic coordination stage); 209 counties had a CCD index between 0.5 and 0.6 (primary coordination stage); and 77 counties had a CCD index between 0.6 and 0.8 (moderate coordination stage). The global Moran's I was 0.349, indicating that there was spatial agglomeration of ecological-economic coupling coordination at a county level. Low-low clusters were mainly found in the central and eastern central part of the study area, and high-high clusters were mainly found in northern Hebei province, Shandong peninsula, and northern Henan province. The factors that influenced the CCD index, ordered from the largest to the smallest, were landscape, terrain, traffic, and climate factors. The interactions between driving factors showed nonlinear and bilinear enhancement. The findings show that the coordination of socioeconomic and ecological development in northern China can be further improved. Relevant policies should emphasize the local ecological advantages, promote the transformation to ecological industrialization, and encourage ecologically and economically balanced development. |
| WOS关键词 | ECOSYSTEM SERVICES ; LAND-USE ; CLIMATE-CHANGE ; CHANGE IMPACTS ; RIVER DELTA ; URBANIZATION ; POLLUTION ; CITY ; PRODUCTIVITY ; QUALITY |
| 资助项目 | Strategic Priority Research Program of Chinese Academy of Sciences[XDA23070402] ; National Natural Science Foundation of China[72004215] |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000761327400004 |
| 资助机构 | Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/171512]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang Fan |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100149, Peoples R China 3.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Shandong, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liang Li,Zhang Fan,Wu Feng,et al. Coupling coordination degree spatial analysis and driving factor between socio-economic and eco-environment in northern China[J]. ECOLOGICAL INDICATORS,2022,135:10. |
| APA | Liang Li,Zhang Fan,Wu Feng,Chen Yuxin,&Qin Keyu.(2022).Coupling coordination degree spatial analysis and driving factor between socio-economic and eco-environment in northern China.ECOLOGICAL INDICATORS,135,10. |
| MLA | Liang Li,et al."Coupling coordination degree spatial analysis and driving factor between socio-economic and eco-environment in northern China".ECOLOGICAL INDICATORS 135(2022):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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