Research Center of Agricultural Economy, School of Economics, Sichuan University of Science & Engineering, Zigong, China.
School of Economics, Sichuan University of Science & Engineering, Zigong, China.
PLoS One. 2023 Nov 29;18(11):e0295017. doi: 10.1371/journal.pone.0295017. eCollection 2023.
The Yangtze River Economic Belt, as a globally important economic growth pole and population concentration area, has always received attention to its ecological and environmental issues. Currently, there is little research on the synergy among the ecological environment risk prevention and control mechanisms in this region. Strengthening research in this area has important scientific value for improving the effectiveness of ecological risk prevention and control and the sustainable development of the Yangtze River Economic Belt. Based on the data from 11 provinces and cities in the Yangtze River Economic Belt from 2017 to 2021, this study establishes an indicator system with benefit incentive mechanisms, risk regulatory mechanisms, and risk governance mechanisms as frameworks. By employing a composite system synergy model, this study utilizes the entropy weight method to assign weights to each indicator and calculates the orderliness and synergy of the three mechanisms separately. The results show that: (1) There are differences in the orderliness of mechanisms among the regions. The downstream area has the highest orderliness of the three mechanisms, with the middle stream area higher than the upstream area in terms of incentive mechanisms and risk governance mechanisms. (2) The orderliness of each mechanism has slight fluctuations but shows an overall upward trend, with the orderliness of regulatory mechanisms significantly higher than that of incentive mechanisms and governance mechanisms. (3) In terms of synergy, the three major mechanisms show a stable upward trend in synergy but with a relatively low degree of synergy. Based on these findings, future efforts should focus on optimizing mechanism construction and information sharing, improving incentive mechanisms, strengthening risk regulatory mechanisms, and consolidating the effectiveness of risk governance mechanisms.
长江经济带作为全球重要的经济增长极和人口集聚区，其生态环境问题一直备受关注。目前，对于该区域生态环境风险防控机制协同性的研究较少。加强该领域的研究，对于提高生态风险防控效能和长江经济带的可持续发展具有重要的科学价值。本文基于 2017-2021 年长江经济带 11 个省市的数据，构建了以利益激励机制、风险监管机制和风险治理机制为框架的指标体系，运用复合系统协同模型，采用熵权法对各指标进行权重赋值，分别计算了三个机制的有序度和协同性。结果表明：（1）区域间机制有序度存在差异，下游地区三个机制的有序度最高，中游地区在激励机制和风险治理机制方面优于上游地区；（2）各机制有序度虽有波动，但总体呈上升趋势，监管机制有序度显著高于激励机制和治理机制；（3）协同度方面，三大机制协同度呈稳定上升趋势，但协同度较低。基于这些发现，未来应注重优化机制建设和信息共享，完善激励机制，加强风险监管机制，巩固风险治理机制的有效性。
