青年发展型城市环境指数测度及空间差异分析
Analysis of Environmental Index Measurement and Spatial Difference in Youth Development City
王凤科 1吴琴琴1
作者信息
- 1. 河南科技大学 商学院,河南 洛阳 471023
- 折叠
摘要
基于国家45个青年发展型试点城市的宏观数据,构建青年发展型城市环境指数测度指标体系.采用EM-TOPSIS模型测度各城市的维度得分以及综合水平,使用变异系数法测量四大地区内城市的环境指数差异,结合地理探测器来探测七大环境因子的空间分异解释和驱动能力.结果显示:生活环境的评价均分最高,其次是规划环境,就业环境评价均分最低;四大地区内部城市在各维度表现上具有一定的差异性,其中西部和东部地区差异性最大,部分城市在各环境指数间具有明显的不平衡性;通过计算,将45个城市划分为高水平、中等水平、低水平等级;在因子与交互探测上,健康环境因子和就业环境因子的解释能力最强,其次是规划环境因子和经济环境因子,且两因子间的交互驱动力都强于各个单因子的驱动力.
Abstract
Based on macro data from 45 pilot cities for youth development in China,a measurement index system for the environmental index of youth development cities is constructed.This study employed the EM-TOPSIS model to measure the dimensional scores and comprehensive levels of each city,used the coefficient of variation method to measure the environmental index differences of cities within the four major regions,and combined the geographic detector to detect the spatial differentiation interpretation and driving ability of the seven major environmental factors.The results show that the average score of living environment evaluation is the highest,followed by planning environment,and the average score of employment environment evaluation is the lowest.There are certain differences in the performance of cities within the four major regions in various dimensions,with the western and eastern regions having the greatest differences,and some cities showing significant imbalances among environmental indicators.45 cities are divided into three levels of high,medium,and low through calculation.In terms of factor and interaction detection,the explanatory power of health environment factor and employment environment factor is the strongest,followed by planning environment factor and economic environment factor,and the interaction driving force between the two factors is stronger than that of each single factor.
关键词
青年发展型城市/环境指数/EM-TOPSIS模型/地理探测器/空间差异Key words
youth development city/environmental index/EM-TOPSIS model/geographic detector/spatial differences引用本文复制引用
出版年
2025
NETL
NSTL
万方数据