An investigation of the coupling coordination of a regional agricultural economics-ecology-society composite based on a data-driven approach. (October 2022)
- Record Type:
- Journal Article
- Title:
- An investigation of the coupling coordination of a regional agricultural economics-ecology-society composite based on a data-driven approach. (October 2022)
- Main Title:
- An investigation of the coupling coordination of a regional agricultural economics-ecology-society composite based on a data-driven approach
- Authors:
- Liu, Fan
Wang, Cui
Luo, Muchen
Zhou, Shuling
Liu, Conghu - Abstract:
- Highlights: Presents a data-driven measurement, evaluation, and identification method. Uses a coupling coordination degree model for three regional agriculture subsystems. Suggests ways to reduce costs, increase social support, and enhance competitiveness. Abstract: This study aims to evaluate the relationship between the agriculture economy environment, and society from the perspective of system theory and then put forward targeted suggestions for sustainable development of Anhui's agriculture in China. Based on the collection of relevant data and the objective weighting of indicators, the entropy weight method is used to measure the comprehensive development level of regional agriculture. The coupling coordination degree model is employed to evaluate the coupling coordination level among the three subsystems of regional agriculture. The obstacle degree model is used to identify the key obstacle factors. The case study results show that the main obstacles of the coordination system are the use of pesticides, the number of agricultural scientific and technological achievements, the application of agricultural plastic film, the number of farmers' technical training schools, and the proportion of animal husbandry. Accordingly, the paper posits suggestions, such as reducing the input of pesticides and agricultural plastic films in agricultural production, improving the social support level of agricultural science, technology, and education, and enhancing the competitiveness ofHighlights: Presents a data-driven measurement, evaluation, and identification method. Uses a coupling coordination degree model for three regional agriculture subsystems. Suggests ways to reduce costs, increase social support, and enhance competitiveness. Abstract: This study aims to evaluate the relationship between the agriculture economy environment, and society from the perspective of system theory and then put forward targeted suggestions for sustainable development of Anhui's agriculture in China. Based on the collection of relevant data and the objective weighting of indicators, the entropy weight method is used to measure the comprehensive development level of regional agriculture. The coupling coordination degree model is employed to evaluate the coupling coordination level among the three subsystems of regional agriculture. The obstacle degree model is used to identify the key obstacle factors. The case study results show that the main obstacles of the coordination system are the use of pesticides, the number of agricultural scientific and technological achievements, the application of agricultural plastic film, the number of farmers' technical training schools, and the proportion of animal husbandry. Accordingly, the paper posits suggestions, such as reducing the input of pesticides and agricultural plastic films in agricultural production, improving the social support level of agricultural science, technology, and education, and enhancing the competitiveness of animal husbandry in the Anhui Province. This study provides theoretical and methodological support for the coupled and coordinated development of regional agricultural economy, ecology and society(EES). … (more)
- Is Part Of:
- Ecological indicators. Volume 143(2022)
- Journal:
- Ecological indicators
- Issue:
- Volume 143(2022)
- Issue Display:
- Volume 143, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 143
- Issue:
- 2022
- Issue Sort Value:
- 2022-0143-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-10
- Subjects:
- EES economics -- ecology society -- EESCS EES composite system
Data-driven -- Regional agriculture -- Ecosystem -- Composite system -- Coupling coordination
Environmental monitoring -- Periodicals
Environmental management -- Periodicals
Environmental impact analysis -- Periodicals
Environmental risk assessment -- Periodicals
Sustainable development -- Periodicals
333.71405 - Journal URLs:
- http://www.sciencedirect.com/science/journal/1470160X/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ecolind.2022.109363 ↗
- Languages:
- English
- ISSNs:
- 1470-160X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3648.877200
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23342.xml