海西区城市化质量空间演变与影响因素

从经济社会发展质量、城市化发展效率、环境发展质量、居民生活条件和城乡差距等5方面，遴选了19个影响城市化质量的关键表征指标，利用因子分析法构建了海西区城市化质量综合评价指标体系，分析了海西区城市化质量时空演化特征与驱动力。研究表明：2005～2014年海西区城市化质量总体呈上升趋势且大部分城市的城市化质量增长幅度正向加速，但城市间发展速度差距逐渐拉大；2009～2014年各城市间空间相互影响作用较大，呈现较显著的空间溢出效应和空间分化现象，极化中心带集中于东部沿海地区；“经济社会发展质量”、“城市化发展效率”、“环境发展质量”是影响推动城市化质量发展的主要驱动因素；大部分城市的“经济社会发展质量”与“城市化发展效率”呈相似发展趋势，“经济社会发展质量”与“环境发展质量”的发展呈相反趋势，较为发达城市受各因子影响弹性较小，中小城市对因子影响较为敏感。

Spatial Evolution and Driving Factors of Urbanization Quality in the Economic Zone on the West Coast of the Taiwan Straits,China

This study selects 19 key indicators influencing the urbanization quality from six aspects,including economic and social development quality,efficiency of urbanization,environmental development quality,urbanrural gapandresidents living conditions.An evaluation index criterion of urbanization quality in the Economic Zone on the West Coast of the Taiwan Straits (EZWCTS) of China is built based on above 19 key indicators by using factor analysis method.The spatial and temporal evolution characteristics and driving factors of urbanization quality are analyzed.The results show that the urbanization quality in the EZWCTS presents an overallincreasing trend from 2005 to 2014.The growth of urbanization quality for most of the cities are at the positively accelerating trends in the EZWCTS,while the development gap among different cities is gradually enlarged.The spatial interaction amongthe cities is relatively largefrom 2009 to 2014,presenting a dramatic spatial spillover effect and spatial heterogeneity.The polarization center mainly focuseson the east coast.Economic and social development quality,environmental development quality and efficiency of urbanization are the main driving factors.Economic and social development quality and efficiency of urbanization of majority of the cities show a similar development trend,but Economic and social development quality and environmental development quality of themshow an opposite one.The elasticity to each driving factor is relatively smaller for the developed cities,while the sensitivity to each driving factor is relatively higher for the small-medium cities.