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Does economic development bring more livability? Evidence from Jiangsu Province, China

机译:经济发展是否带来了更多的居住能力? 来自中国江苏省的证据

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Livable level is an important component of measuring regional sustainable development. Many problems have arisen during China & rsquo;s economic development, such as environmental pollution and unreasonable industrial structure. The indicator system for measuring regional livability has not been unified, existing research pays too much attention to happiness index and urban environment indicators, which cannot fully reflect the regional comprehensive environmental. Correlation analysis and entropy method are two methods to select 27 indicators and construct a regional livability index. Specifically, indicators involved eco-environment level and response system, eco-environment pressure system, living standard and public resources system, low carbon lifestyle system, employment environment and pressure system and urban development scale system. Based on the above livability index, the regional livability was measured and the SYS-GMM model was used to analyze the economic influencing factors of regional livability. Results indicated that eco-environment level and response system, employment environment and pressure system are two key factors that have the greatest impact on regional livability of Jiangsu province in China, and the spatial feature shows that varied from high to low from the south region to the northeast region. Notably, over 60% of the study areas showed significant changes in livability level. On the other hand, the results of empirical analysis showed that the proportion of tertiary industry, foreign direct investment, institutional quality and technological investment plays a positive role in the comprehensive evaluation of regional livability, economic growth, fixed asset investment plays a negative role in the comprehensive evaluation of regional livability.(c) 2021 Elsevier Ltd. All rights reserved.
机译:宜居水平是衡量区域可持续发展的重要组成部分。在中国和rsquo期间出现了许多问题,如环境污染和不合理的产业结构。衡量区域居民的指标制度并未统一,现有的研究对幸福指数和城市环境指标进行了太多关注,这不能完全反映区域综合环境。相关性分析和熵方法是选择27个指标的两种方法,构建区域宜居性指数。具体而言,指标涉及生态环境水平和响应系统,生态环境压力系统,生活水平和公共资源系统,低碳生活方式系统,就业环境和压力系统和城市发展规模系统。基于上述宜寿性指数,测量了区域宜藜,使用SYS-GMM模型分析区域居民的经济影响因素。结果表明,生态环境级别和响应系统,就业环境和压力系统是对中国江苏省区域居民影响最大的两个关键因素,空间特征表明,从南部地区的高点变化而变化。东北地区。值得注意的是,超过60%的研究领域表现出宜家水平的显着变化。另一方面,经验分析结果表明,第三产业,外商直接投资,机构质量和技术投资比例在综合评价区域宜居,经济增长,固定资产投资中发挥了负面作用区域居民综合评价。(c)2021 elestvier有限公司保留所有权利。

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