文章摘要
孙伟,夏徐云,谢昕怡.中国省域生态福利强度测算及影响因素分析[J].唐山学院学报,2023,36(1):79-86
中国省域生态福利强度测算及影响因素分析
China's Provincial Ecological Welfare Intensity Measurement and Influencing Factors Analysis
  
DOI:10.16160/j.cnki.tsxyxb.2023.01.010
中文关键词: 生态福利强度  熵权法  评价体系  影响因素
英文关键词: ecological welfare intensity  entropy method  evaluation system  influencing factors
基金项目:安徽省哲学社会科学规划重点项目(AHSKZ2021D15);安徽省教育厅人文社科项目(SK2020JD07);安徽建筑大学校引进人才及博士启动基金项目(2020QDR14)
作者单位
孙伟 安徽建筑大学 经济与管理学院, 合肥 230601
安徽省建筑经济与房地产管理研究中心, 合肥 230601 
夏徐云 安徽建筑大学 经济与管理学院, 合肥 230601 
谢昕怡 中国农业大学 国际学院, 北京 100091 
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中文摘要:
      从生态消耗和福利水平两个方面构建生态福利强度指标体系,通过熵权法和生态福利强度计算公式测算我国2015-2020年30个省市的生态福利强度,并对其影响因素进行实证分析。得出的结论为:(1)我国省域生态福利强度总体水平较低,且呈下降趋势;(2)各地区之间生态福利强度差异显著,在空间上表现为东部地区>中部地区>东北地区>西部地区的生态福利优劣格局,而且各省市之间也存在差异,除北京、江苏、广东等13个省市的生态福利强度持续上升外,其余省市的生态福利强度已逐步降低;(3)就全国而言,在影响因素中产业结构、城镇化水平与生态福利强度显著负相关,对外开放水平、经济规模与生态福利强度显著正相关,而技术进步水平、人口密度、绿化程度对生态福利强度的影响不显著,故各地区要因地制宜地制定发展策略。
英文摘要:
      In this paper, the index system of ecological welfare intensity is constructed from ecological consumption and welfare level, then the entropy weight method and the ecological welfare intensity formula are used to measure the intensity in China's 30 provinces from 2015 to 2020, and the influencing factors are analyzed empirically. The conclusions are drawn as follows:First, the overall level of ecological welfare intensity is low and shows a decreasing trend;Second, the intensity varies significantly among regions, with eastern region>central region>northern region. And there are also differences among provinces or cities where the ecological welfare intensity is gradually decreasing except that the intensity in 13 provinces or cities continues to rise, including Beijing, Jiangsu and Guangdong etc.; Third, at the national level, industrial structure, urbanization degree are significantly negatively correlated with the intensity and the opening-up level and the economic scale are positively correlated with the intensity, while the technological level, population denstiy and greening degree haven't produced significant impact on the ecological welfare intensity. Therefore, the development strategy should be made based on the actual conditions for each region.
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