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- Title
Data-driven analysis and evaluation of regional agriculture for high-quality development of Anhui Province in the Yangtze River Delta.
- Authors
Liu, Fan; Wang, Cui; Zhang, Yingyan; Zhou, Shuling; Yang, Yaliu; Wu, Xue; Hu, Fagang; Liu, Conghu
- Abstract
This study aims to promote the high-quality development of regional agriculture. This study proposes a data-driven method for regional agricultural analysis and evaluation. Based on the data collection and processing related to regional agricultural development, the location entropy index was used to analyze the industrial agglomeration level, and the shift-share model was constructed to evaluate the industrial structure and competitiveness. Based on the above analysis and evaluation, high-quality development policy suggestions for regional agriculture were provided. Taking the agricultural development of the Yangtze River Delta from 2010 to 2019 as an example, this study shows the implementation process of the method. From the perspective of high-quality agricultural development in the Anhui Province, this paper proposes policy suggestions on industrial structure adjustment and promoting competitiveness. This study provides theoretical and methodological support for the development of high-quality regional agriculture.
- Subjects
ANHUI Sheng (China); INDUSTRIAL clusters; AGRICULTURAL development; AGRICULTURE; INDUSTRIAL policy; PROVINCES
- Publication
Environmental Science & Pollution Research, 2022, Vol 29, Issue 15, p22490
- ISSN
0944-1344
- Publication type
Article
- DOI
10.1007/s11356-021-17358-w