福建省城镇化与生态环境耦合协调的时空特征及影响因素

Spatial-temporal Characteristics and Influencing Factors of the Coupling Coordination Between the Urbanization and Ecological Environment in Fujian Province

【目的/意义】我国在快速城镇化的发展过程中,出现了水资源浪费严重、大气质量下降、土地退化等一系列生态环境问题,探讨如何在城镇化过程中兼顾生态环境的保护,为推动城市与社会的可持续发展提供理论与方法支撑。【方法/过程】应用耦合协调度模型、地理探测器等方法对2009-2017年福建省城镇化与生态环境耦合协调度及影响因素进行了分析。【结果/结论】福建省2009-2017年城镇化与生态环境耦合协调呈现上升趋势,协调等级已发展为中度协调;福建省各市的城镇化与生态环境耦合协调度持续提高,几乎都在勉强协调及以上,福州、厦门和泉州已达到优质和良好协调;空间上表现为东南部沿海地区高,西北内陆地区低的分异;空间分异的主要影响因素有R&D经费支出、二三产业增加值占GDP比重、人均财政预算内收入等。

【Objective/Meaning】In the development process of rapid urbanization,there were a series of ecological and environmental problems,such as serious waste of water resources,degradation of air quality and land degradation,etc.By exploring how to take the protection of ecological environment into consideration in the process of urbanization,it would provide theoretical and methodological support for promoting the sustainable development of cities and the society.【Methods/Procedures】The coupling coordination degree model and geographic detectors were used to analyze the coupling coordination degree and influencing factors of the urbanization and ecological environment in Fujian Province from 2009 to 2017.【Results/Conclusions】The coupling coordination between the urbanization and ecological environment in Fujian Province from 2009 to 2017 showed an upward trend,and the coordination level has developed to the moderate coordination;The degree of coupling coordination between the urbanization and ecological environment in each city of Fujian continued to increase,and almost all of them were barely coordinated and above,while Fuzhou,Xiamen and Quanzhou have reached high quality and sound coordination;The spatial differentiation was mainly manifested in the high coordination of southeast coastal areas and the low coordination of northwest inland areas;And the main influencing factors of the spatial differentiation included R&D expenditures,the proportion of the added value of secondary and tertiary industries in GDP,per capita financial budget income,etc.