主管单位:中国科学技术协会
主办单位:中国地理学会
承办单位:华东师范大学

世界地理研究 ›› 2023, Vol. 32 ›› Issue (8): 139-151.DOI: 10.3969/j.issn.1004-9479.2023.08.2020856

• 文化与社会 • 上一篇    

长三角城市群公众环境意识影响因素的空间异质性研究

陈静1(), 黄丽2()   

  1. 1.上海理工大学附属中学,上海 200093
    2.华东师范大学城市与区域科学学院,上海 200062
  • 收稿日期:2020-12-01 修回日期:2021-02-22 出版日期:2023-08-15 发布日期:2023-09-07
  • 通讯作者: 黄丽
  • 作者简介:陈静(1996—),女,硕士研究生,研究方向为城市经济与区域创新,E-mail:51183902006@stu.ecnu.edu.cn

Spatial heterogeneity of influencing factors on public environmental awareness in Yangtze River Delta urban agglomeration

Jing CHEN1(), Li HUANG2()   

  1. 1.Senior High School Affiliated to University of Shanghai for Science & Technology (USST), Shanghai 200093, China
    2.School of Urban and Regional Science, East China Normal University, Shanghai 200062, China
  • Received:2020-12-01 Revised:2021-02-22 Online:2023-08-15 Published:2023-09-07
  • Contact: Li HUANG

摘要:

公众环境意识水平的高低将直接影响区域环境状况。选取2012—2018年长三角城市群27个地级市年度百度搜索指数和2018年社会经济环境数据,基于地理加权回归模型分析社会、经济、环境因素对公众环境意识指数影响的空间异质性。研究结果表明:①2012—2018年间,长三角城市群公众环境意识指数呈“M”形变化趋势;②长三角城市群公众环境意识水平存在明显空间差异,重点城市公众环境意识指数水平显著高于其他城市;③多数影响因素对公众环境意识指数呈现正负两种效应,且具有明显的空间异质性,经济层次中外商直接投资因素呈现正向影响,社会层次中人口密度因素呈现负向影响,常住人口性别比因素呈现正向影响。

关键词: 环境意识, 百度指数, 地理加权回归, 长三角城市群

Abstract:

The level of public environmental awareness directly affects regional environmental conditions and green sustainable development. The development of big data provides another perspective for the measurement of environmental awareness. The study selected the annual Baidu Search Index and 2018 socio-economic-environmental statistics of 27 prefecture-level cities in the Yangtze River Delta urban agglomerations from 2012 to 2018, and analyzed the spatial heterogeneity of the influence of socio-economic-environmental factors on the public environmental awareness index based on GWR model. The results show: (1) the public environmental awareness index of the Yangtze River Delta urban agglomeration shows an "M"-shaped trend from 2012 to 2018; (2) the level of public environmental awareness index of key cities is significantly higher than that of other cities, and there are obvious spatial differences; (3) most of the influencing factors show either positive or negative effects on the public environmental awareness index. For example, the amount of foreign direct investment and the gender ratio of the resident population has a positive effect, while population density has a negative effect on public environmental awareness. Based on the above analysis, we put forward some policy suggestions, for example, city governments should pay as much as possible attention on environmental issues in their economic development, and so on.

Key words: environmental awareness, Baidu index, geographically weighted regression, Yangtze River Delta urban agglomerations