长江流域资源与环境 >> 2017, Vol. 26 >> Issue (05): 649-656.doi: 10.11870/cjlyzyyhj201705001

• 区域可持续发展 •    下一篇

长江中游城市群经济-城市-社会-环境耦合度空间差异分析

姜磊1, 周海峰1, 柏玲2   

  1. 1. 浙江财经大学经济学院, 浙江 杭州 310018;
    2. 南昌大学经济管理学院, 江西 南昌 330031
  • 收稿日期:2016-09-26 修回日期:2017-01-18 出版日期:2017-05-20
  • 通讯作者: 柏玲 E-mail:bling1987yy@163.com
  • 作者简介:姜磊(1983~),男,博士,助理教授,研究方向为环境经济学、区域可持续发展.E-mail:lei_jiang@zufe.edu.cn
  • 基金资助:
    国家自然科学基金项目(71373079);国家社科基金项目(15FJL012); 浙江省哲学社会科学规划(14NDJC100YB)

SPATIAL DIFFERENCES IN COUPLING DEGREES OF ECONOMY, URBANIZATION, SOCIAL SECURITY AND ECO-ENVIRONMENT IN THE MIDDLE REACHES OF YANGTZE RIVER

JIANG Lei1, ZHOU Hai-feng1, BAI Ling2   

  1. 1. School of Economics, Zhejiang University of Finance & Economics, Hangzhou 310018, China;
    2. School of Economics and Management, Nanchang University, Nanchang 330031, China
  • Received:2016-09-26 Revised:2017-01-18 Online:2017-05-20
  • Supported by:
    National Natural Science Foundation (71373079);National Social Science Foundation (15FJL012);Zhejiang Province Social Science Foundation (14NDJC100YB)

摘要: 以长江中游城市群的36个城市为例,构建了经济发展、城市化、社会保障、生态环境综合评价指标体系,运用耦合度模型评估了36个城市2011~2013年的耦合度,并利用GIS技术分析系统的得分与耦合度的空间分布特征。结果表明:长江中游城市群的36个城市的经济发展、城市化和社会保障水平的空间分布比较相似,三者间存在显著的正相关关系。但是,存在显著性的地区差异。36个城市生态环境得分均值很高,城市之间差异很小。从耦合度的空间分布来看,长江中游城市群明显存在3个高耦合度的聚集区域,即长株潭城市圈,武汉-南昌(含鄂州、黄石和九江)城市带和鄂北4市,即十堰、襄阳、宜昌和荆门。最后,36个城市之间耦合度的差异呈现逐年缩小的趋势。

关键词: 长江中游城市群, 社会经济, 生态环境, 耦合, 空间差异

Abstract: In this paper, comprehensive evaluation indicators were constructed for the evaluation of economic development, urbanization, social security and eco-environment, and the coupling degrees of 36 cities in the middle reach of Yangtze River during 2011-2013 were calculated by means of the coupling degree model. The GIS technique was used to analyze spatial distribution of values of 4 systems and coupling degrees of 36 cities. The results showed that the 36 cities were very similar in terms of development levels of economy, urbanization and social security, and had similar spatial distributions in terms of these three systems. The three systems were positively correlated with each other. Particularly, the average values of the three systems were low, while their variation coefficients were very high. It indicated that there were huge and significant differences in economic development, urbanization and social security among the 36 cities. However, regarding eco-environment, the 36 cities had high average values and low variation coefficients. In terms of spatial distribution, there were three obvious clusters of high coupling degrees, i.e.. Chang-Zhu-Tan city cluster, Wuhan-Nanchang economic belt (including Ezhou, Huangshi and Jiujiang), and 4 cities in the North Hubei Province (Shiyan, Xiangyang, Yichang and Jingmen). Finally, the difference of coupling degrees of the 36 cities seemed to show a declining trend.

Key words: the middle reaches of Yangtze River, socio-economy, eco-environment, coupling degree, spatial difference

中图分类号: 

  • F291.1
[1] 吴志军.长江中游城市群协调发展及合作路径[J].经济地理,2015,35(3):60-65.[WU Z J.The city cluster in the middle reaches of the Yangtze River and the coordinated development path of cooperation[J].Economic Geography,2015,35(3):60-65.]
[2] 何胜,唐承丽,周国华.长江中游城市群空间相互作用研究[J].经济地理,2014,34(4):46-53.[HE S,TANG C L,ZHOU G H.Research on spatial interaction of the urban agglomeration in the middle reaches of the Yangtze River[J].Economic Geography,2014,34(4):46-53.]
[3] 马勇,刘军.长江中游城市群产业生态化效率研究[J].经济地理,2015,35(6):124-129.[MA Y,LIU J.Efficiency evaluation of regional industrial ecology of the Yangtze River middle reaches urban agglomerations[J].Economic Geography,2015,35(6):124-129.]
[4] 刘承良,熊剑平,龚晓琴,等.武汉城市圈经济-社会-资源-环境协调发展性评价[J].经济地理,2009,29(10):1650-1654,1695.[LIU C L,XIONG J P,GONG X Q,et al.Coordinated development of conomy-society-resource-environmental system in metropolitan areas:a case study of Wuhan metropolitan area[J].Economic Geography,2009,29(10):1650-1654,1695.]
[5] 余瑞林,刘承良,熊剑平,等.武汉城市圈社会经济-资源-环境耦合的演化分析[J].经济地理,2012,32(5):120-126.[YU R L,LIU C L,XIONG J P,et al.The coupling evolvement of ERE composite system on Wuhan metropolitan area[J].Economic Geography,2012,32(5):120-126.]
[6] 秦立春,傅晓华.基于生态位理论的长株潭城市群竞合协调发展研究[J].经济地理,2013,33(11):58-62.[QIN L C,FU X H.Co-opetition and harmonious development of Changsha-Zhuzhou-Xiangtan urban agglomeration based on niche theory[J].Economic Geography,2013,33(11):58-62.]
[7] 许统生,梁可,刘艳.江西经济增长与环境质量关系的实证分析——基于联立方程的计量估计[J].江西社会科学,2011(10):57-62.[XU T S,LIANG K,LIU Y.An empirical analysis of economic growth and environmental quality in Jiangxi Province-based on a simultaneous equation estimation[J].Jiangxi Social Sciences,2011(10):57-62.]
[8] 何宜庆,翁异静.鄱阳湖地区城市资源环境与经济协调发展评价[J].资源科学,2012,34(3):502-509.[HE Y Q,WENG Y J.Assesment of harmonious development between resource,environment and urban economy in Poyang Lake area[J].Resources Science,2012,34(3):502-509.]
[9] 周克昊,刘艳芳,谭荣辉.长江中游城市群综合发展水平时空分异研究[J].长江流域资源与环境,2014,23(11):1510-1518.[ZHOU K H,LIU Y F,TAN R H.Spatio-temporal differentiation of comprehensive development level of middle reaches of Yangtze River[J].Resources and Environment in the Yangtze Basin,2014,23(11):1510-1518.]
[10] 卢丽文,张毅,李小帆,等.长江中游城市群发展质量评价研究[J].长江流域资源与环境,2014,23(10):1337-1343.[LU L W,ZHANG Y,LI X F,et al.City quality evaluation of Yangtze River city group[J].Resources and Environment in the Yangtze Basin,2014,23(10):1337-1343.]
[11] GROSSMAN G M,KRUEGER A B.Environmental impacts of a North American Free Trade Agreement[R].Working paper No.3914.Cambridge,MA,USA:National Bureau of Economic Research,1991:223-250.
[12] ORUBU C O,OMOTOR D G.Environmental quality and economic growth:searching for environmental Kuznets curves for air and water pollutants in Africa[J].Energy Policy,2011,39(7):4178-4188.
[13] STERN D I,COMMON M S.Is there an environmental Kuznets curve for sulfur[J].Journal of Environmental Economics and Management,2001,41(2):162-178.
[14] MADDISON D.Environmental Kuznets curves:a spatial econometric approach[J].Journal of Environmental Economics and Management,2006,51(2):218-230.
[15] SABOORI B,SULAIMAN J,MOHD S.Economic growth and CO2 emissions in Malaysia:a cointegration analysis of the Environmental Kuznets Curve[J].Energy Policy,2012,51:184-191.
[16] 马丽,金凤君,刘毅.中国经济与环境污染耦合度格局及工业结构解析[J].地理学报,2012,67(10):1299-1307.[MA L,JIN F J,LIU Y.Spatial pattern and industrial sector structure analysis on the coupling and coordinating degree of regional economic development and environmental pollution in China[J].Acta Geographica Sinica,2012,67(10):1299-1307.]
[17] 刘艳军,刘静,何翠,等.中国区域开发强度与资源环境水平的耦合关系演化[J].地理研究,2013,32(3):507-517.[LIU Y J,LIU J,HE C,et al.Evolution of the coupling relationship between regional development strength and resource environment level in China[J].Geographical Research,2013,32(3):507-517.]
[18] 刘浩,张毅,郑文升.城市土地集约利用与区域城市化的时空耦合协调发展评价——以环渤海地区城市为例[J].地理研究,2011,30(10):1805-1817.[LIU H,ZHANG Y,ZHENG W S.Evaluation on spatio-temporal development and interaction of intensive urban land use and urbanization:case studies of the cities in the Bohai Rim Region[J].Geographical Research,2011,30(10):1805-1817.]
[19] 张明斗,莫冬燕.城市土地利用效益与城市化的耦合协调性分析——以东北三省34个地级市为例[J].资源科学,2014,36(1):8-16.[ZHANG M D,MO D Y.Coupling coordination degree of urban land use benefit and urbanization[J].Resources Science,2014,36(1):8-16.]
[20] 马艳梅,吴玉鸣,吴柏钧.长三角地区城镇化可持续发展综合评价——基于熵值法和象限图法[J].经济地理,2015,35(6):47-53.[MA Y M,WU Y M,WU B J.Comprehensive evaluation of sustainable urban development of Yangtze River Delta based on entropy method and quadrant method[J].Economic Geography,2015,35(6):47-53.]
[21] 王媛,程曦,殷培红,等.影响中国碳排放绩效的区域特征研究——基于熵值法的聚类分析[J].自然资源学报,2013,28(7):1106-1116.[WANG Y,CHENG X,YIN P H,et al.Research on regional characteristics of China's carbon emission performance based on entropy method and cluster analysis[J].Journal of Natural Resources,2013,28(7):1106-1116.]
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