摘要
依据2012年广东省经济-社会公平-生态环境方面的数据,构建经济-社会公平-生态环境评价指标体系,借助物理学中耦合协调度函数建模法,定量分析了广东省珠三角外围粤东、粤西和粤北12个地级市的经济-社会公平-生态环境的耦合协调度。结果表明:各市经济、社会公平、生态环境3个子系统的发展程度各异,省内不同城市的耦合协调度水平也存在一定差距,一半城市处于协调发展阶段。根据各城市经济、社会公平、生态环境的发展现状,将其划分为3种类型:1)经济发展落后于社会公平和生态环境保护的地区,包括河源市、梅州市、云浮市、汕尾市等,未来在城市发展中重点要促进此类地区人口和产业等要素的集聚。2)经济发展较快但区域差距扩大地区,包括湛江市、茂名市、阳江市、韶关市和清远市,此类地区未来城市发展重点要提高中心城市人口的承载力,吸引人口和经济要素同步集聚;同时培育市域副中心,形成新的增长极,扶持县域经济的发展。3)经济发展较快而生态环境保护滞后地区,包括汕头市、揭阳市和潮州市,此类地区未来城市发展要重点加强建设区域性的生态环保基础设施,优化已经发展的城镇地区发展空间。
The theory of the coordination degree has been viewed as an important way to research the degree of coupling between the regional economic, social development and environmental protection. Based on the theory, this paper established an indicator system, a model and a calculating method to study the coordination degree of the rim cities around the Pearl River Delta, which include 12 prefecture-level cities in east, west and north of Guangdong province. The results show that the coupled coordination degree of those cities varies, that means different cities are in various stages of sustainable development. Six cities, including Zhanjiang, Shaoguan, Maoming, Qingyuan, Yangjiang and Heyuan are in the stage of coordinative development. All the cities are classified into three types according to their level on economic development, social development and environmental development. The cities with a higher level on economic development than social development and environmental protection should promote their population concentration and industrial agglomeration. The cities with expansion of regional disparities and rapid economic development should improve the population bearing capacity of the central city, plan and construct sub-center, and accelerate suburb’s economic development. The cities with high level economic development and low level environmental protection should strengthen the construction of regional ecological and environmental protection infrastructure.
出处
《热带地理》
北大核心
2014年第4期561-567,共7页
Tropical Geography
基金
国家自然科学基金项目(41301132)
中国博士后基金项目(2013M530065)
中国博士后基金特别资助(2014T70116)
