School of Science, Hubei University of Technology, Wuhan 430068, China.
Int J Environ Res Public Health. 2022 Aug 14;19(16):10022. doi: 10.3390/ijerph191610022.
In order to study the interactive relationship between urban economic and ecological environment, taking Wuhan as an example, Landsat and MODIS remote sensing satellite data and social and economic data were fused with multisource data, and multidimensional indicators were selected to construct the comprehensive evaluation index system of urban economic and ecological environment. The weights were determined by combining subjective and objective methods. Then, the decoupling elasticity coefficient method and spatial autocorrelation model were used to evaluate the dynamic relationship and spatial relationship between economic development and ecological environment in Wuhan from 2014 to 2020. The results showed that there was an interaction between the urban economic and the ecological environment in Wuhan. The ecological level index had a spatial effect, the adjustment of industrial structure had a positive effect on the improvement of the ecological level, and the improvement of the ecological level was also helpful to promote economic development. The typical districts of Huangpi District, Xinzhou District, Jiangxia District, Hannan District, Caidian District, and Hongshan District had superior location and ecological advantages, as well as high development potential. Lastly, on the basis of the empirical analysis results, policy suggestions are made from four aspects: regional differentiated construction, green development, energy consumption, and wetland construction.
为了研究城市经济与生态环境的相互作用关系，以武汉市为例，融合了 Landsat 和 MODIS 卫星遥感数据以及社会经济数据，选择多维指标构建了城市经济与生态环境综合评价指标体系。采用主观与客观相结合的方法确定权重，然后利用脱钩弹性系数法和空间自相关模型，对 2014-2020 年武汉市经济发展与生态环境之间的动态关系和空间关系进行了评价。结果表明，武汉市城市经济与生态环境之间存在相互作用，生态水平指数具有空间效应，产业结构调整对生态水平的提高有正向作用，生态水平的提高也有助于促进经济发展。黄陂区、新洲区、江夏区、汉南区、蔡甸区和洪山区具有优越的区位和生态优势，发展潜力较高。最后，在实证分析结果的基础上，从区域差异化建设、绿色发展、能源消耗和湿地建设四个方面提出了政策建议。
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