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自然资源学报 >

2013 , Vol. 28 >Issue 12: 2081 - 2094

DOI: https://doi.org/10.11849/zrzyxb.2013.12.006

资源评价

辽宁沿海地区用水效率与经济的耦合协调发展评价

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  • 1. 辽宁师范大学 海洋经济与可持续发展研究中心, 辽宁大连 116029;
    2. 辽宁师范大学 城市与环境学院, 辽宁大连 116029
盖美（1971-），女，辽宁大连人，副教授，博士，主要从事资源环境与经济的可持续发展研究。E-mail：gaimei71@163.com

收稿日期: 2013-04-12

  修回日期: 2013-08-19

  网络出版日期: 2013-12-19

基金资助

辽宁省教育厅人文社会科学研究项目（ZJ2013014）；省社科联2013 年辽宁经济社会发展立项课题（2013lsljdwt-13）。

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Evaluation of the Coupling Coordination Development between Water Use Efficiency and Economy in Liaoning Coastal Economic Belt

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  • 1. Marine Economy and the Sustainable Development Research Center, Liaoning Normal University, Dalian 116029, China;
    2. Urban and Environmental College, Liaoning Normal University, Dalian 116029, China

Received date: 2013-04-12

  Revised date: 2013-08-19

  Online published: 2013-12-19

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摘要

论文构建辽宁沿海经济带用水效率与经济耦合协调发展评价指标体系，首先运用改进的突变模型对2001—2010 年辽宁沿海经济带用水效率和经济发展各子系统进行状态评估，其次运用耦合协调模型对辽宁沿海经济带各市用水效率与经济发展的耦合协调度进行评价。研究结果表明：①辽宁沿海经济带整体用水效率与经济发展耦合度水平从0.437 提高到0.498，呈缓慢提高状态，但一直处于拮抗阶段。用水效率水平与经济发展水平差距不断减小，耦合协调度从0.254 增大到0.408，呈增大趋势但仍处于中低度协调水平；②辽宁沿海经济带各市用水效率与经济发展都处于上升趋势，其中用水效率最好的为大连市，用水效率评估值已达到0.887，其次为锦州、营口和葫芦岛，丹东和盘锦市用水效率处于最低水平，分别为0.604和0.535。经济发展水平最高的为大连市，其次为营口和盘锦市，丹东、锦州和葫芦岛较差； ③各市耦合度均处于拮抗阶段，并且处于上升趋势。大连市和营口市耦合协调度2010年已分别达到0.457 和0.401，已从低度协调进入中度协调且呈不断上升趋势，丹东、锦州、盘锦和葫芦岛均处于低度协调阶段，呈波动式上升。各市的经济发展滞后于水资源利用效率的提高，导致耦合协调度一直处于中低度协调水平；④辽宁沿海经济带耦合度和协调度的区域差距在不断减小，经济带协同发展趋势越加明显。

关键词： 用水效率; 耦合协调度; 改进突变模型; 辽宁沿海经济带; 经济发展

本文引用格式

盖美, 王宇飞, 马国栋, 郝慧娟 . 辽宁沿海地区用水效率与经济的耦合协调发展评价[J]. 自然资源学报, 2013 , 28(12) : 2081 -2094 . DOI: 10.11849/zrzyxb.2013.12.006

Abstract

This paper builds the evaluation indicator system for water use efficiency and coordinated development of economy coupling in Liaoning coastal economic belt (LCEB). Firstly, using improved mutation model to evaluate status of LCEB water use efficiency and the economic development of each subsystem from 2001 to 2010. Secondly, using coupling coordination model to evaluate water use efficiency and the coupling coordination degree of economic development of every city of LCEB. The results show that the coupling degree of water use efficiency and the economic development of LCEB increased from 0.437 to 0.498, which is slowly improving, but it has been in the stage of resisting. The gap of water use efficiency and economic development level decreases continuously, and the coupling coordination degree increased from 0.254 to 0.408, which showed a trend of increase but still at the mid-low level of coordination. Water use efficiency and economic growth of every city of LCEB are in a rising trend, water use efficiency of Dalian is the best with an evaluation value reaching 0.887, Jinzhou, Yingkou and Huludao are in the second place, Dandong and Panjin at the worst level with evaluation values being 0.604 and 0.535. The economic development level of Dalian is the highest, Yingkou and Panjin are at intermediate level, Dandong, Jinzhou and Huludao are at the lowest level. The coupling degree of every city in the stage of resisting, and in a rising trend. The coupling coordination degree of Dalian and Yingkou have reached 0.457 and 0.401, and entered the stage of moderate coordination from low-grade coordination phase,and showed a rising trend. The coupling coordination degree of Dandong, Jinzhou, Panjin and Huludao still at the low level of coordination and showed a fluctuated increase.The economic development of every city falls behind the improvement of the efficiency in water usage, which causes the coupling coordination being in the mid-low grade period. The regional disparities among the coupling degree and coordination degree of LCEB are decreasing, and the coordinated development trend of economic belt becomes more and more apparent.

Key words： water use efficiency; coupling coordination degree; Liaoning coastal economic belt; economic development; improved mutation model

参考文献

[1] 孙才志, 王妍, 李红新. 辽宁省用水效率影响因素分析[J]. 水利经济, 2009, 27(2): 1-5.[SUN Cai-zhi, WANG Yan, LI Hong-xin. Influencing factors of water utilization efficiency in Liaoning Province. Journal of Economics of Water Resources, 2009, 27(2): 1-5.]
[2] Howe C W. Water resources and regional economic growth in the United States, 1950－1960[J]. Southern Economic Journal, 1968, 34(4): 477-489.
[3] 贾绍凤, 张士锋, 杨红, 等. 工业用水与经济发展的关系——用水库兹涅茨曲线[J]. 自然资源学报, 2004, 19(3): 279-284.[JIA Shao-feng, ZHANG Shi-feng, YANG Hong, et al. Relation of industrial water use and economic development: Water use Kuznets Curve. Journal of Natural Resources, 2004, 19(3): 279-284.]
[4] 盖美, 赵晓梅, 田成诗. 辽宁沿海经济带水资源- 社会经济可持续发展研究[J]. 资源科学, 2011, 33(7): 1225-1235.[GAI Mei, ZHAO Xiao-mei, TIAN Cheng-shi. A study on sustainable development of water resources and social economy in Liaoning Coastal Economic Belt. Resources Science, 2011, 33(7): 1225-1235.]
[5] 盖美, 李伟红. 基于可变模糊识别模型的大连市水资源与社会经济协调发展研究[J]. 资源科学, 2008, 30(8): 1141-1146.[GAI Mei, LI Wei-hong. Variable fuzzy recognition applied to dalian water resources and coordinated socio-economic development. Resources Science, 2008, 30(8): 1141-1146.]
[6] 孙爱军, 董增川, 张小艳. 中国城市经济与用水技术效率耦合协调度研究[J]. 资源科学, 2008, 30(3): 446-453.[SUN Ai-jun, DONG Zeng-chuan, ZHANG Xiao-yan. Coupling degree between urban economy and technical efficiency of water use in China. Resources Science, 2008, 30(3): 446-453.]
[7] 谷学明, 王远, 赵卉卉, 等. 江苏省水资源利用与经济增长关系研究[J]. 中国环境科学, 2012, 32(2): 351-358.[GU Xue-ming, WANG Yuan, ZHAO Hui-hui, et al. Linking between water resources utilization and economic growth in Jiangsu Province. China Environmental Science, 2012, 32(2): 351-358.]
[8] 邓朝晖, 刘洋, 薛惠锋. 基VAR模型的水资源利用与经济增长动态关系研究[J]. 中国人口·资源与环境, 2012, 22 (6): 128-135.[DENG Zhao-hui, LIU Yang, XUE Hui-feng. Study on the dynamic relationship between economic growth and water resources-use based on the VAR Model. China Population, Resources and Environment, 2012, 22 (6): 128-135.]
[9] 潘丹, 应瑞瑶. 中国水资源与农业经济增长关系研究——基于面板VAR模型[J]. 中国人口·资源与环境, 2012, 22(1): 161-166.[PAN Dan, YING Rui-yao. Relationship between water resource and agricultural economic growth in China. China Population, Resources and Environment, 2012, 22(1): 161-166.]
[10] 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 Li, JIN Feng-jun, LIU Yi. Spatial pattern and industrial sector structure analysis on the coupling and coordinating degree of regional economic development and environmental pollution in China. Acta Geographica Sinica, 2012, 67(10): 1299-1307.]
[11] 吴玉明, 柏玲. 广西城市化与环境系统的耦合协调测度与互动分析[J]. 地理科学, 2011, 31(12): 1474-1479.[WU Yu-ming, BAI Ling. Coupling and coordination measurement and interactive analysis of urbanization and environment system in Guangxi Province, China. Scientia Geographica Sinica, 2011, 31(12): 1474-1479.]
[12] 刘耀彬, 李仁东, 宋学锋. 中国城市化与生态环境耦合度分析[J]. 自然资源学报, 2005, 20(1): 105-112.[LIU Yao-bin, LI Ren-dong, SONG Xue-feng. Analysis of coupling degrees of urbanization and ecological environment in China. Journal of Natural Resources, 2005, 20(1): 105-112.]
[13] 刘耀彬, 李仁东, 宋学锋. 中国城市化与生态环境耦合的关联分析[J]. 地理学报, 2005, 60(2): 237-247.[LIU Yao-bin, LI Ren-dong, SONG Xue-feng. Grey associative analysis of regional urbanizati and eco-environment coupling in China. Acta Geographica Sinica, 2005, 60(2): 237-247.]
[14] 吴玉明, 张燕. 中国区域经济增长与环境的耦合协调发展研究[J]. 资源科学, 2008, 30(1): 25-30.[WU Yu-ming, ZHANG Yan. Analyzing coupled regional economic growth and environmental conservation in China. Resources Science, 2008, 30(1): 25-30.]
[15] 余瑞林, 刘承良, 熊剑平. 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 Rui-lin, LIU Cheng-liang, XIONG Jian-ping. The coupling evolvement of ERE composite system on Wuhan Metropolitan area. Economic Geography, 2012, 32(5): 120-126.]
[16] 史亚琪, 朱晓东, 孙翔, 等. 区域经济－环境复合生态系统协调发展动态评价——以连云港为例[J]. 生态学报, 2010, 30(15): 4119-4128.[SHI Ya-qi, ZHU Xiao-dong, SUN Xiang, et al. A dynamic assessment for the coordination between economic development and the environment: A case study of Lianyungang, China. Acta Ecologica Sinica, 2010, 30(15): 4119-4128.]
[17] 唐明, 邵东国, 姚成林, 等. 改进的突变评价法在旱灾风险评价中的应用[J]. 水利学报, 2009, 40(7): 858-862.[TANG Ming, SHAO Dong-guo, YAO Cheng-lin, et al. Improved catastrophe theory based evaluation method and its application to drought disaster risk evaluation. Journal of Hydraulic Engineering, 2009, 40(7): 858-862.]
[18] 施玉群, 刘亚莲, 何金平. 关于突变评价法几个问题的进一步研究[J]. 武汉大学学报: 工学版, 2003, 36(4): 132-136.[SHI Yu-qun, LIU Ya-lian, HE Jin-ping. Further study on some questions of catastrophe evaluation method. Engineering Journal of Wuhan University, 2003, 36(4): 132-136.]
[19] 廖重斌. 环境与经济协调发展的定量评判及其分类体系——以珠江三角洲城市群为例[J]. 热带地理, 1999, 19(2): 171-177.[LIAO Chong-bin. Quantitative judgment and classification system for coordinated development of environment and economy—A case study of the city group in the Pearl River Delta. Tropical Geography, 1999, 19 (2): 171-177.]
[20] 廖虎昌, 董毅明. 基DEA 和Malmquist 指数的西部12 省水资源利用效率研究[J]. 资源科学, 2011, 33(2): 273-279.[LIAO Hu-chang, DONG Yi-ming. Utilization efficiency of water resources in 12 western provinces of China based on the DEA and Malmquist TFP Index. Resources Science, 2011, 33(2): 273-279.]
[21] 孙才志, 刘玉玉. 基于DEA-ESDA 的中国水资源利用相对效率的时空格局分析[J]. 资源科学, 2009, 31(10): 1696-1703.[SUN Cai-zhi, LIU Yu-yu. Analysis of the spatial-temporal pattern of water resources utilization relative efficiency based on DEA-ESDA in China. Resources Science, 2009, 31(10): 1696-1703.]
[22] 赵晨, 王远, 谷学明, 等. 基于数据包络分析的江苏省水资源利用效率[J]. 生态学报, 2013, 33(5): 1636-1644.[ZHAO Chen, WANG Yuan, GU Xue-ming, et al. Water use efficience of Jiangsu Province based on the date envelopment analysis approach. Acta Ecologica Sinica, 2013, 33(5): 1636-1644.]
[23] 徐勇. 农业资源高效利用评价指标体系初步研究[J]. 地理科学进展, 2001, 20(3): 240-246.[XU Yong. A study on the evaluation index system of agricultural resources effective utility. Progressing Geography, 2001, 20(3): 240-246.]
[24] 封志明, 杨艳昭, 刘宝勤. 甘肃省农田水分平衡及其时空分布规律[J]. 自然资源学报, 2005, 20(2): 188-194.[FENG Zhi-min, YANG Yan-zhao, LIU Bao-qin. Field water balance and its distribution in Gansu Province. Journal of Natural Resources, 2005, 20(2): 188-194.]
[25] 刘慧. 区域差异测度方法与评价[J]. 地理研究, 2006, 25(4): 710-718.[LIU Hui. Regional inequality measurement: Methods and evaluations. Geographical Research, 2006, 25(4): 710-718.]
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