长江经济带金融集聚、区域创新与生态效率的空间耦合协调发展研究
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摘要
提高生态效率是实现绿色发展的重要途径,同时我国大力倡导的可持续发展也对生态效率提出了更高的要求。本文选取2007～2017年长江经济带的相关数据,利用区位熵和熵权法测算金融集聚和生态效率,并将空间权重加入到耦合协调模型中,对长江经济带的金融集聚——区域创新——生态效率耦合协调度进行测算。研究表明,长江经济带的系统耦合协调发展在波动中不断演进且可以分为两个发展阶段,以及长江经济带不同地区存在不同的发展模式,可以分为子系统发展均衡且高度发展型、创新滞后型、生态滞后型以及金融集聚滞后型4种模式。据此,提出了有针对性的政策建议,为进一步推动长江经济带系统的耦合协调发展提供决策支持。
The improvement of ecological efficiency is an important way to achieve green development. Meanwhile,the sustainable development advocated by China also puts forward higher requirements for ecological efficiency. The paper selects the relevant data of Yangtze River Economic Belt from 2007 to 2017,and uses location entropy and entropy weight method to measure the financial agglomeration and ecological efficiency. In addition,the spatial weights are added to the coupling coordination model to measure the coupling coordination degree of financial agglomeration-regional innovation-ecological efficiency of Yangtze River Economic Belt. The results show: the system coupling coordination development of Yangtze River Economic Belt is evolving in waves and it can be divided into two stages; the development of Yangtze River Economic Belt in different areas has different patterns,and it can be divided into four patterns: balanced and highly developed,innovation lagged,ecology lagged and financial agglomeration lagged. Accordingly,the paper puts forward some pertinent policy suggestions,and provides decision support for further promoting the coupling and coordinated development of the Yangtze River Economic Belt system.
The improvement of ecological efficiency is an important way to achieve green development. Meanwhile,the sustainable development advocated by China also puts forward higher requirements for ecological efficiency. The paper selects the relevant data of Yangtze River Economic Belt from 2007 to 2017,and uses location entropy and entropy weight method to measure the financial agglomeration and ecological efficiency. In addition,the spatial weights are added to the coupling coordination model to measure the coupling coordination degree of financial agglomeration-regional innovation-ecological efficiency of Yangtze River Economic Belt. The results show: the system coupling coordination development of Yangtze River Economic Belt is evolving in waves and it can be divided into two stages; the development of Yangtze River Economic Belt in different areas has different patterns,and it can be divided into four patterns: balanced and highly developed,innovation lagged,ecology lagged and financial agglomeration lagged. Accordingly,the paper puts forward some pertinent policy suggestions,and provides decision support for further promoting the coupling and coordinated development of the Yangtze River Economic Belt system.
引文
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[23]沈宏婷,陆玉麒,沈惊宏.中国省域创新投入——创新产出——创新效益的时空耦合研究[J].经济地理,2017,37(6):17~22.
[24]赵磊,刘洪彬,于国锋,等.基于熵权法土地资源可持续利用综合评价研究——以辽宁省葫芦岛市为例[J].资源与产业,2012,14(4):63~69.
[25]何宜庆,陆佳俐.金融集聚、产业结构及生态效率耦合协调实证分析[J].南通大学学报(社会科学版),2016,31(6):114~120.
[26]何宜庆,王耀宇,周依仿,等.金融集聚、区域产业结构与生态效率耦合协调实证研究——以三大经济圈为例[J].经济问题探索,2016,37(5):131~137.
[27]Li Y F,Li Y,Zhou Y,et al. Investigation of a Coupling Model of Coordination Between Urbanization and the Environment[J].Journal of Environmental Management,2012,40(8):127~133.
[2] Zhou Z F,Sun L,SunY L. Research on Indicator System of Regional Eco-efficiency:A Case Study of Chengyang District[J].Chinese Journal of Population Resources&Environment,2006,4(4):54~58.
[3] Deng Q, Shen J, Chen R. Regional Financial Development Scale,Structure,Efficiency and Economic Growth:A Dynamic Analysis[J]. Management Science and Engineering,2011,5(3):314~321.
[4] Popov A,Roosenboom P. Venture Capital and Patented Innovation:Evidence from Europe[J]. Economic Policy,2012,27(7):447~482.
[5] Ilyinal A,Samaniego R. Technology and Financial Development[J]. Journal of Money,Credit and Banking,2011,43(5):899~921.
[6]吴井峰.金融集聚与地区生态效率的空间计量实证研究[J].统计与决策,2016,32(3):149~153.
[7]黎杰生,胡颖.金融集聚对技术创新的影响——来自中国省级层面的证据[J].金融论坛,2017,22(7):39~52.
[8]徐浩,温军,冯涛.制度环境、金融发展与技术创新[J].山西财经大学学报,2016,38(6):41~52.
[9]曹霞,张路蓬.金融支持对技术创新的直接影响及空间溢出效应——基于中国2003~2013年省际空间面板杜宾模型[J].管理评论,2017,29(7):36~45.
[10]张彩江,李艺芳.金融集聚对区域创新能力的影响及地区差异——基于广东省21个地级市的空间计量分析[J].科技管理研究,2017,37(7):12~18.
[11]王仁祥,白旻.金融集聚能够提升科技创新效率么?——来自中国的经验证据[J].经济问题探索,2017,38(1):139~148.
[12]陈林心,何宜庆,程家鼎.创新、创业与生态效率提升研究——基于长江中游城市群的空间面板模型[J].华东经济管理,2016,30(10):87~94.
[13]罗良文,张万里.区域绿色技术创新效率对生态效率的影响分析[J].湖北社会科学,2017,31(3):69~78.
[14]郝立亚,王春晓.金融集聚与科技创新对省域低碳经济发展的溢出效应研究[J].经济论坛,2017,31(6):76~82.
[15]何宜庆,陈林心,焦剑雄,等.金融集聚的时空差异与省域生态效率关系研究[J].数理统计与管理,2017,36(1):162~174.
[16]王莹莹,王仁祥.科技创新和金融创新耦合机理及实证分析[J].技术经济与管理研究,2017,38(12):66~71.
[17]白彩全,黄芽保,宋伟轩,等.省域金融集聚与生态效率耦合协调发展研究[J].干旱区资源与环境,2014,28(9):1~7.
[18] Ciccone A,Hall R E. Productivity and the Density of Economic Activity[J]. American Economic Review,1996,86(1):54~70.
[19]陈林心,何宜庆,王芸,等.金融集聚、经济发展与生态效率空间面板数据的SD仿真[J].系统工程,2017,35(1):23~31.
[20]黄和平.基于生态效率的资源环境绩效动态评估——以江西省为例[J].资源科学,2010,32(5):924~931.
[21] Dahlstrom K,Ekins P. Eco-efficiency Trends in the UK Steel and Aluminum Industries:Differences Between Resource Efficiency and Resource Productivity[J]. Journal of Industrial Ecology,2005,9(4):171~188.
[22]韩瑞玲,佟连军,宋亚楠.基于生态效率的辽宁省循环经济分析[J].生态学报,2011,31(16):4732~4740.
[23]沈宏婷,陆玉麒,沈惊宏.中国省域创新投入——创新产出——创新效益的时空耦合研究[J].经济地理,2017,37(6):17~22.
[24]赵磊,刘洪彬,于国锋,等.基于熵权法土地资源可持续利用综合评价研究——以辽宁省葫芦岛市为例[J].资源与产业,2012,14(4):63~69.
[25]何宜庆,陆佳俐.金融集聚、产业结构及生态效率耦合协调实证分析[J].南通大学学报(社会科学版),2016,31(6):114~120.
[26]何宜庆,王耀宇,周依仿,等.金融集聚、区域产业结构与生态效率耦合协调实证研究——以三大经济圈为例[J].经济问题探索,2016,37(5):131~137.
[27]Li Y F,Li Y,Zhou Y,et al. Investigation of a Coupling Model of Coordination Between Urbanization and the Environment[J].Journal of Environmental Management,2012,40(8):127~133.
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