Evolving Trends and Influencing Factors of the Rural Green Development Level in Chongqing
文献类型：期刊论文
| 作者 | Zhu, Kangwen; Song, Dan; Zhang, Lanxin; He, Yong; Zhang, Sheng; Liu, Yaqun; Tian, Xiaosong |
| 刊名 | LAND
 |
| 出版日期 | 2023-07-01 |
| 卷号 | 12期号:7页码:1333 |
| 关键词 | Chongqing green development Theil index optimal scale regression analysis GIS |
| ISSN号 | 2073-445X |
| DOI | 10.3390/land12071333 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Rural green development is a concrete practice of rural revitalization. Currently, research on quantitative evaluation methods for rural green development levels are not well developed. In this study, an evaluation model of the rural green development level in Chongqing City, China was developed based on the parameters of ecology, living, and production. An entropy weight method, Theil index, optimal scale regression model, and GIS were used to analyze the spatio-temporal characteristics, trends, and influencing factors of the rural green development level from 2018 to 2020 in Chongqing City. The results showed that: (1) the overall ecology, living, and production dimensions and the comprehensive index of the development level in the city were generally increasing, and the proportion of counties at a high-level increased from 23.68% in 2018 to 81.58% in 2020; (2) the Theil index of the city in was 0.0185, 0.0121, and 0.0114 in 2018, 2019, and 2020 respectively, indicating that the differences in development level among regions decreased as the development level increased; (3) the level of rural green development showed a clear upwards trend, and the proportion of counties with low-speed growth, medium-speed growth, and high-speed growth from 2018 to 2020 was 5.26%, 81.58%, and 13.16%, respectively; and (4) the optimal scale regression analysis showed that the factors with greater impacts on the rural green development level are social security and employment expenditure level of government finance, health expenditure level of government finance, with their contributions is 40.3% and 26%, respectively. The results from this study demonstrate the significance of exploring research methods for rural green development and ways to improve the level of rural green development. |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001038616100001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/194572]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Chongqing Vocational Institute of Engineering 2.Lanzhou University 3.Chinese Academy of Sciences 4.Institute of Geographic Sciences & Natural Resources Research, CAS 5.Chongqing Jiaotong University |
| 推荐引用方式 GB/T 7714 | Zhu, Kangwen,Song, Dan,Zhang, Lanxin,et al. Evolving Trends and Influencing Factors of the Rural Green Development Level in Chongqing[J]. LAND,2023,12(7):1333. |
| APA | Zhu, Kangwen.,Song, Dan.,Zhang, Lanxin.,He, Yong.,Zhang, Sheng.,...&Tian, Xiaosong.(2023).Evolving Trends and Influencing Factors of the Rural Green Development Level in Chongqing.LAND,12(7),1333. |
| MLA | Zhu, Kangwen,et al."Evolving Trends and Influencing Factors of the Rural Green Development Level in Chongqing".LAND 12.7(2023):1333. |
入库方式： OAI收割
来源：地理科学与资源研究所
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