东北地区城市宜居性评价及影响因素分析——基于2007-2014年面板数据的实证研究
发布时间：2018-12-14 12:55
【摘要】：新型城镇化背景下,城市宜居性成为当前学术界研究的热点之一。本文基于资源、环境、经济、社会、生活、安全6个方面构建了宜居城市评价指标体系,运用熵值法、Arc GIS空间分析法和面板数据模型分析法,对2007-2014年东北地区37个城市的宜居性及影响因素进行探究。结果表明:(1)城市宜居水平整体偏低,提高速度较慢,但城市间的差异在缩小。(2)城市宜居水平在空间上形成以沈阳、大连为核心的"双核"分布模式,以及以长春、哈尔滨和大庆为核心"扇叶"分布格局。(3)各城市间宜居水平存在较弱的空间相关性,但这种相关性逐年增强。(4)各单项指标的地域分异与综合水平的地域分异存在差异,不同城市在不同指标下有其优势与不足。(5)在研究社会经济的影响时,通过建立面板数据模型,发现居民储蓄存款余额、市政设施建设投资、人均住宅房地产开发投资、社区服务设施、人口密度与城市宜居性呈正相关,而SO2排放量则呈负相关。
[Abstract]:Under the background of new urbanization, urban livability has become one of the hotspots in academic research. Based on the six aspects of resources, environment, economy, society, life and security, this paper constructs the evaluation index system of livable city, and applies entropy method, Arc GIS spatial analysis method and panel data model analysis method. The livability and influencing factors of 37 cities in Northeast China from 2007 to 2014 were studied. The results show that: (1) the level of livable living in cities is on the low side and the increasing speed is slow, but the difference between cities is narrowing. (2) the urban livable level forms a "dual-core" distribution pattern with Shenyang and Dalian as the core and Changchun as the core. Harbin and Daqing as the core "fan leaf" distribution pattern. (3) there is a weak spatial correlation between the livable level of different cities, However, the correlation is increasing year by year. (4) there are differences between the regional differentiation of each single index and the regional differentiation of comprehensive level, and different cities have their own advantages and disadvantages under different indicators. (5) when studying the influence of social economy, Through the establishment of panel data model, it is found that the balance of residents' savings deposits, investment in municipal facilities construction, investment in residential real estate development per capita, community service facilities and population density are positively correlated with urban liveability, while SO2 emissions are negatively correlated.
【作者单位】： 东北师范大学地理科学学院;
【基金】：国家社会科学基金项目(16BJL032)~~
【分类号】：TU984.2
[Abstract]:Under the background of new urbanization, urban livability has become one of the hotspots in academic research. Based on the six aspects of resources, environment, economy, society, life and security, this paper constructs the evaluation index system of livable city, and applies entropy method, Arc GIS spatial analysis method and panel data model analysis method. The livability and influencing factors of 37 cities in Northeast China from 2007 to 2014 were studied. The results show that: (1) the level of livable living in cities is on the low side and the increasing speed is slow, but the difference between cities is narrowing. (2) the urban livable level forms a "dual-core" distribution pattern with Shenyang and Dalian as the core and Changchun as the core. Harbin and Daqing as the core "fan leaf" distribution pattern. (3) there is a weak spatial correlation between the livable level of different cities, However, the correlation is increasing year by year. (4) there are differences between the regional differentiation of each single index and the regional differentiation of comprehensive level, and different cities have their own advantages and disadvantages under different indicators. (5) when studying the influence of social economy, Through the establishment of panel data model, it is found that the balance of residents' savings deposits, investment in municipal facilities construction, investment in residential real estate development per capita, community service facilities and population density are positively correlated with urban liveability, while SO2 emissions are negatively correlated.
【作者单位】： 东北师范大学地理科学学院;
【基金】：国家社会科学基金项目(16BJL032)~~
【分类号】：TU984.2
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