长江流域资源与环境 >> 2025, Vol. 34 >> Issue (1): 71-.doi: 10.11870/cjlyzyyhj202501006

• 区域可持续发展 • 上一篇    下一篇

面向SDGs的安徽省可持续发展水平测度、区域差异及影响因素

王倩1,王姝怡1,陈韵霖1,陈卉1,黄蕊1,2,3*   

  1. (1.南京师范大学地理科学学院,江苏 南京 210023;2. 南京师范大学虚拟地理环境教育部重点实验室,江苏 南京 210023;3. 江苏省地理信息资源开发与利用协同创新中心, 江苏 南京 210023)
  • 出版日期:2025-01-20 发布日期:2025-01-24

Measurement, Regional Differences and Influencing Factors of SDGs-oriented Sustainable Development Level, in Anhui Province

WANG Qian1,WANG Shu-yi1,CHEN Yun-lin1,CHEN Hui1,HUANG Rui1,2,3   

  1. (1. School of Geography, Nanjing Normal University,Nanjing 210023,China;2. Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210023,China;3. Jiangsu Provincial Collaborative Innovation Center for Geographic Information Resource Development and Utilization, Nanjing 210023,China)
  • Online:2025-01-20 Published:2025-01-24

摘要: 增强安徽省可持续发展动能对推动长三角更高质量一体化发展和服务国家新发展格局具有重要意义。本文构建了面向联合国2030可持续发展目标(Sustainable Development Goals,SDGs)的可持续发展水平评估框架和指标体系,对2011~2021年安徽省及其16个地级市可持续发展水平进行测算,计算各市经济、社会和环境维度可持续发展的耦合协调度,分析安徽省可持续发展水平的时空演化特征,利用Dagum基尼系数深入探究安徽省可持续发展水平区域差异的原因,并基于灰色关联度分析方法进一步揭示影响安徽省不同城市可持续发展水平的关键因素。研究结果表明:安徽省可持续发展综合指数以及3个子系统间的耦合协调度呈现不断提高的趋势,但可持续发展水平空间差异明显。安徽省可持续发展水平空间差异原因主要来自区域之间的差异,“皖中-皖北”和“皖中-皖南”的区域间差异明显高于“皖南-皖北”。不同维度下不同指标对各市可持续发展综合水平的影响表现出明显差异。对省会合肥而言,研发经费支出占比、公共服务支出比重、生活垃圾无害化处理率分别是经济、社会和环境子系统影响其可持续发展综合水平的首要因素。研究结果可为安徽省加快实现2030可持续发展目标和推动高质量发展提供科学支撑。

Abstract: Enhancing the sustainable development momentum of Anhui Province is of great significance to promote the higher-quality development of the Yangtze River Delta in the new development stage of the country. This paper constructed a sustainable development level assessment framework and an indicator system, based on the United Nations 2030 Sustainable Development Goals (SDGs). The sustainable development level of Anhui Province and its 16 prefecture-level cities from 2011 to 2021 was measured. Coupling coordination degree of sustainable development in the social, economic, and environmental domains was determined for cities, and the spatial-temporal evolution features of sustainable development level for Anhui province were examined. Dagum Gini coefficient was employed to investigate the causes of regional variations in the sustainable development level of Anhui Province. Additionally, the grey correlation analysis method was utilized to uncover the primary factors influencing the sustainable development level of the cities in Anhui Province. The findings indicated a tendency of continual improvement in the Anhui Province’s sustainable development index and the coupling coordination degree of the three subsystems; However, there was a clear regional disparity in terms of the sustainable development level. The spatial differences of sustainable development level in Anhui Province mainly came from the differences between regions, and the inter-regional differences of Central Anhui-North Anhui and Central Anhui-South Anhui were obviously higher than that of South Anhui-North Anhui. The impacts of different indicators in different dimensions on the comprehensive level of sustainable development of each city were significantly different. For Hefei city, the provincial capital, the proportion of R&D expenditure, the proportion of public service expenditure, and the harmless disposal rate of domestic waste were the primary factors affecting the comprehensive level of sustainable development of economic, social and environmental subsystems. The results of this study provided scientific support for accelerating the realization of the 2030 Sustainable Development Goals and promoting high-quality development in Anhui Province.

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