信息化背景下知识溢出与城市群空间经济增长模型研究
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摘要
知识溢出是城市群中核心与非核心城市实现协同发展的重要手段.研究通过构建信息化背景下城市群空间经济增长模型,从要素动态均衡的角度,探究了信息化背景下两类城市互动形成的空间经济格局及增长模式.结果发现:随着知识溢出程度的增强,城市群由内部对称均衡向集聚均衡演变,逐渐形成地理上分散,经济上集聚的态势;知识溢出过程可以减小城市群各主要城市间资本增长率的差异,推进城市群内部资本市场的协同发展.
Knowledge spillover is an important channel to achieve the equitable development of core city and non-core city in urban agglomeration. This research constructs the model of urban agglomeration spatial economic growth under the background of informatization.It explores the spatial economic structure and development pattern based on the interaction between core and non-core cities in the view of factor dynamic equilibrium. It finds: as the strengthening of knowledge spillovers, the urban agglomeration manifest a trend of divergence in geography, but agglomeration in economy; the improvement of knowledge spillovers can reduce the differences of the growth of capital among the urban agglomeration, accelerating the equitable development.
Knowledge spillover is an important channel to achieve the equitable development of core city and non-core city in urban agglomeration. This research constructs the model of urban agglomeration spatial economic growth under the background of informatization.It explores the spatial economic structure and development pattern based on the interaction between core and non-core cities in the view of factor dynamic equilibrium. It finds: as the strengthening of knowledge spillovers, the urban agglomeration manifest a trend of divergence in geography, but agglomeration in economy; the improvement of knowledge spillovers can reduce the differences of the growth of capital among the urban agglomeration, accelerating the equitable development.
引文
[1]申玉铭,柳坤,邱灵.中国城市群核心城市服务业发展的基本特征[J].地理科学进展,2015(8):957-965.
[2]朱英明,张雷.增强城市群整体竞争力:路径选择与学习策略——基于城市群集体学习的演化博弈视角[J].经济问题探索,2008(2):51-55,65.
[3] Venables A J. Equilibrium locations of vertically linked industries[J]. International Economic Review, 1996, 37(2):341-359.
[4]杨莎莎,邓闻静,纪明.中国十大城市群核心城市影响力比较分析[J].统计与决策,2017(23):123-128.
[5]朱子明,郁鸿胜.长三角核心城市群经济竞争力评价研究[J].生态经济,2013(12):57-60.
[6]于洋,韩鹏,杨楠,等.中原城市群核心城市资源环境承载力研究[J].北京大学学报(自然科学版),2018(2):407-414.
[7]邵丹.关中城市群核心外围城市联系的空间分析——以西安、渭南为例[J].城市发展研究,2018(7):C24-C29, C36.
[8]戴永安,张友祥.中国城市群内部与外围的效率差异及其影响因素——基于DEA模型的分析[J].当代经济研究,2017(1):64-71.
[9]张宏雷,韩伯棠.基于Theil指数法的山东半岛城市群知识溢出水平研究[J].北京工业大学学报(社会科学版),2014(3):27-32.
[10]陈丽娴.知识溢出、创新与区域经济增长——基于知识产权保护视角的门槛回归分析[J].当代经济管理,2017(8):63-69.
[11]吉亚辉,曹希广.产业集聚的知识溢出对区域经济差距的影响——基于制造业与服务业的比较研究[J].中国科技论坛,2017(12):106-113.
[12]周末,张宇杰,刘经纬,等.高校知识溢出对本地工业企业绩效的空间影响[J].科学学研究,2017(7):1054-1062, 1072.
[13] Cassar A, Nicolini R. Spillovers and growth in a local interaction model[J]. Annals Of RegionalScience, 2008, 42(2):291-306.
[14] Caniels M C J. Knowledge spillovers and economic growth:regional growth differentials across Europe[M]. Cheltenham:Edward Elgar, 2000.
[15] Audretsch D B, Feldman M P. R&D spillovers and the geography of innovation and production[J].American Economic Review, 1996, 86(3):630-640.
[16] Anselin L, Varga A, Acs Z. Local geographic spillovers between university research and high technology innovations[J]. Journal Of Urban Economics, 1997, 42(3):422-448.
[17] Maurseth P B, Verspagen B. Knowledge spillovers in Europe:A patent citations analysis[J]. Scandinavian Journal Of Economics, 2002, 104(4):531-545.
[18]徐德英,韩伯棠.地理、信息化与交通便利邻近与省际知识溢出[J].科学学研究,2015(10):1555-1563.
[19]潘伟,韩伯棠.信息化背景下城市群知识溢出——基于长三角、珠三角和京津冀城市群实证研究[J].中国科技资源导刊,2018(3):42-52.
[20] Krugman P. Increasing Returns And Economic-Geography[J]. Journal Of Political Economy, 1991,99(3):483-499.
[21] Han L, Han B, Shi X, et al. Energy efficiency convergence across countries in the context of China's Belt and road initiative[J]. Applied Energy, 2018, 213:112-122.
1若不加说明,本文均以“S”代表核心城市,“D”代表城市群非核心城市
2托宾的“q”值理论认为:q=资本价值/资本成本,当qi1时,说明资本价值大于资本成本,经济体存在继续生产资本的动力;当qi1时,说明资本价值小于资本成本,经济体继续生产资本的动力缺失,生产停止;当q=1时,资本价值等于资本成本,完全竞争下经济体收益最大化.
[2]朱英明,张雷.增强城市群整体竞争力:路径选择与学习策略——基于城市群集体学习的演化博弈视角[J].经济问题探索,2008(2):51-55,65.
[3] Venables A J. Equilibrium locations of vertically linked industries[J]. International Economic Review, 1996, 37(2):341-359.
[4]杨莎莎,邓闻静,纪明.中国十大城市群核心城市影响力比较分析[J].统计与决策,2017(23):123-128.
[5]朱子明,郁鸿胜.长三角核心城市群经济竞争力评价研究[J].生态经济,2013(12):57-60.
[6]于洋,韩鹏,杨楠,等.中原城市群核心城市资源环境承载力研究[J].北京大学学报(自然科学版),2018(2):407-414.
[7]邵丹.关中城市群核心外围城市联系的空间分析——以西安、渭南为例[J].城市发展研究,2018(7):C24-C29, C36.
[8]戴永安,张友祥.中国城市群内部与外围的效率差异及其影响因素——基于DEA模型的分析[J].当代经济研究,2017(1):64-71.
[9]张宏雷,韩伯棠.基于Theil指数法的山东半岛城市群知识溢出水平研究[J].北京工业大学学报(社会科学版),2014(3):27-32.
[10]陈丽娴.知识溢出、创新与区域经济增长——基于知识产权保护视角的门槛回归分析[J].当代经济管理,2017(8):63-69.
[11]吉亚辉,曹希广.产业集聚的知识溢出对区域经济差距的影响——基于制造业与服务业的比较研究[J].中国科技论坛,2017(12):106-113.
[12]周末,张宇杰,刘经纬,等.高校知识溢出对本地工业企业绩效的空间影响[J].科学学研究,2017(7):1054-1062, 1072.
[13] Cassar A, Nicolini R. Spillovers and growth in a local interaction model[J]. Annals Of RegionalScience, 2008, 42(2):291-306.
[14] Caniels M C J. Knowledge spillovers and economic growth:regional growth differentials across Europe[M]. Cheltenham:Edward Elgar, 2000.
[15] Audretsch D B, Feldman M P. R&D spillovers and the geography of innovation and production[J].American Economic Review, 1996, 86(3):630-640.
[16] Anselin L, Varga A, Acs Z. Local geographic spillovers between university research and high technology innovations[J]. Journal Of Urban Economics, 1997, 42(3):422-448.
[17] Maurseth P B, Verspagen B. Knowledge spillovers in Europe:A patent citations analysis[J]. Scandinavian Journal Of Economics, 2002, 104(4):531-545.
[18]徐德英,韩伯棠.地理、信息化与交通便利邻近与省际知识溢出[J].科学学研究,2015(10):1555-1563.
[19]潘伟,韩伯棠.信息化背景下城市群知识溢出——基于长三角、珠三角和京津冀城市群实证研究[J].中国科技资源导刊,2018(3):42-52.
[20] Krugman P. Increasing Returns And Economic-Geography[J]. Journal Of Political Economy, 1991,99(3):483-499.
[21] Han L, Han B, Shi X, et al. Energy efficiency convergence across countries in the context of China's Belt and road initiative[J]. Applied Energy, 2018, 213:112-122.
1若不加说明,本文均以“S”代表核心城市,“D”代表城市群非核心城市
2托宾的“q”值理论认为:q=资本价值/资本成本,当qi1时,说明资本价值大于资本成本,经济体存在继续生产资本的动力;当qi1时,说明资本价值小于资本成本,经济体继续生产资本的动力缺失,生产停止;当q=1时,资本价值等于资本成本,完全竞争下经济体收益最大化.