快速交通网络化影响下的城市空间关联与经济溢出效应研究——以航空及高铁网络为例

doi:10.16381/j.cnki.issn1003-207x.2021.1424

摘要/Abstract

摘要： 航空和高铁作为两种最为主要的交通方式相互补充，共同构成了现代化快速交通网络，通过改变城市间的空间关联关系，促进了经济格局的调整和区域经济的溢出。本文以柯布-道格拉斯生产函数理论为基础，构建了快速交通网络化影响下的城市经济溢出机理框架及其分析模型，分析了快速交通网络影响下城市空间关联对其经济溢出的影响，并基于中国地级及以上城市的面板数据，利用G2SLS工具变量估计等方法，实证检验了航空和高铁等快速交通网络影响下的城市空间关联与经济溢出效应的关系，并进一步开展了模型的情境分析。结果显示：航空网络影响下的城市空间关联具有明显的跨越性和等级性，高铁网络影响下的城市空间关联则带有鲜明的地缘属性和邻接属性；航空和高铁网络下城市之间的空间关联越广泛，对其经济溢出的贡献越明显，航空网络中心的过度集中导致城市空间关联的接近中心度与经济溢出之间存在负相关关系，但在高铁网络中这种关系并不稳定，城市在航空和高铁网络中的枢纽地位及对网络的控制能力对经济发展有着重要意义。

关键词: 航空；高铁；快速交通网络；空间关联；经济溢出

Abstract: As two major modes of transportation, aviation and high-speed railway complement each other to form a modern rapid transportation network, which promotes the adjustment of economic pattern and the spillover of regional economy by changing the spatial correlation between cities. The influence of aviation and high-speed railway network on the overall pattern and internal structure of urban spatial correlation is analyzed, and empirically the relationship and difference between urban spatial correlation and economic spilt under the influence of aviation and high-speed railway network is tested, based on the panel data of Chinese cities at the prefecture-level and above, and using G2SLS tool variable estimation and other methods. The results show that the spatial association of cities under the influence of aviation network has obvious leap and rank. Under the influence of high-speed railway network, the urban spatial association has distinct geographical and adjacency attributes. Airlines and high-speed network of urban spatial correlation between the broader, contribution to its economic output, the more obvious, the excessive concentration of aviation network center close to the center of the urban space correlation degree and there is a negative correlation relationship between economic output, but the relationship is not stable in the high-speed network, cities and the high-speed rail network in aviation hub and control of the network capacity has important significance to the economic development. In the future, to strengthen the spatial relationship of Chinese cities and promote the national economic growth, it is necessary to conduct policy coordination in shortening the space and time distance, reducing regional segmentation and increasing network density.

Key words: aviation; high-speed railway; rapid transit network; spatial correlation; economic spillover

中图分类号:

F290

王雨飞, 徐海东, 王光辉. 快速交通网络化影响下的城市空间关联与经济溢出效应研究——以航空及高铁网络为例[J]. 中国管理科学, 2023, 31(6): 207-220.

WANG Yu-fei, XU Hai-dong, WANG Guang-hui. Research on Urban Spatial Correlation and Economic Spillover Effect Under the Influence of Rapid Transportation Network: Take Aviation and High-speed Rail Networks as Examples[J]. Chinese Journal of Management Science, 2023, 31(6): 207-220.

参考文献

［1］刘生龙, 胡鞍钢. 交通基础设施与经济增长: 中国区域差距的视角［J］. 中国工业经济, 2010(4): 14-23.Liu Shenglong, Hu Angang.Transport infrastructure and economic growth： perspective from China’s regional disparities［J］. China Industrial Economics,2010(4):14-23.
［2］王雨飞, 倪鹏飞. 高速铁路影响下的经济增长溢出与区域空间优化［J］. 中国工业经济, 2016(2): 21-36.Wang Yufei, Ni Pengfei. Economic growth spillover and spatial optimization of high-speed railway［J］. China Industrial Economics,2016(2):21-36.
［3］潘文卿. 中国的区域关联与经济增长的空间溢出效应［J］.经济研究, 2012, 47(1): 54-65.Pan Wenqing.Regional linkage and the spatial spillover effects on regional economic growth in China［J］. Economic Research Journal,2012,47(1):54-65.
［4］ Lucas Jr R E. On the mechanics of economic development［J］. Journal of Monetary Economics, 1988, 22(1): 3-42.
［5］ Robert J. Barro. Government spending in a simple model of endogeneous growth［J］. Journal of Political Economy, 1990, 98(5): S103-S125.
［6］周浩, 郑筱婷. 交通基础设施质量与经济增长: 来自中国铁路提速的证据［J］. 世界经济, 2012, 35(1): 78-97.Zhou Hao, Zheng Xiaoting.Transport infrastructure quality and economic growth: evidence from railway speed increases in China［J］. The Journal of World Economy,2012,35(1):78-97.
［7］施震凯, 邵军, 浦正宁. 交通基础设施改善与生产率增长:来自铁路大提速的证据［J］. 世界经济, 2018, 41(6): 127-151.Shi Zhenkai, Shao Jun, Pu Zhengning. Effects of quality improvements in transportation infrastructure on total factor productivity growth： evidence of Chinese railway speed acceleration［J］. The Journal of World Economy,2018,41(6):127-151.
［8］董艳梅, 朱英明. 高铁建设能否重塑中国的经济空间布局——基于就业、工资和经济增长的区域异质性视角［J］. 中国工业经济, 2016(10): 92-108.Dong Yanmei, Zhu Yingming. Can high-speed rail construction reshape the layout of China’s economic space—based on the perspective of regional heterogeneity of employment， wage and economic growth［J］. China Industrial Economics,2016(10):92-108.
［9］刘勇. 交通基础设施投资、区域经济增长及空间溢出作用：基于公路、水运交通的面板数据分析［J］. 中国工业经济, 2010(12): 37-46.Liu Yong. Transport infrastructure investment， regional economic growth and the spatial spillover effects: based on highway and marine’s panel data analysis［J］. China Industrial Economics, 2010(12):37-46.
［10］刘南. 高速公路对区域经济发展的影响研究——以浙江省杭甬高速公路为例［J］. 中国软科学, 2002(11): 99-102.Liu Nan.Study of impacts of expressways on regional economic development—the case of the hangzhou-ningbo expressway［J］. China Soft Science, 2002(11):99-102.
［11］ Vickerman R, Ulied A. Indirect and wider economic impacts of high speed rail［J］. Economic Analysis of High Speed Rail in Europe, 2006, 1: 89-118.
［12］周文韬, 杨汝岱, 侯新烁. 高铁网络、区位优势与区域创新［J］. 经济评论, 2021(4): 75-95.Zhou Wentao, Yang Rudai, Hou Xinshuo. High-speed rail network, location advantage and regional innovation［J］. Economic Review, 2021(4):75-95.
［13］唐松林, 周文兵, 王国成. 房价变动、产业转移与区域协调发展——以京津冀地区为例［J］. 中国管理科学, 2021, 29(3): 14-23.Tang Songlin, Zhou Wenbing, Wang Guocheng. House price changes, industry transfer and regional coordinated development［J］. Chinese Journal of Management Science,2021,29(3):14-23.
［14］刘舒慧. 技术进步、产业关联与中国工业能耗强度——基于空间面板数据模型［J］. 中国管理科学, 2016, 24(S1): 908-913.Liu Shuhui.Technology progress， industrial relationship and energy intensity of industries in China—based on spatial panel data model［J］. Chinese Journal of Management Science,2016,24(S1):908-913.
［15］薛雅伟, 张剑, 云乐鑫. 资源产业空间集聚、传导要素萃取与“资源诅咒”中介效应研究［J］. 中国管理科学, 2019, 27(6): 179-190.Xue Yawei, Zhang Jian, Yun Lexin. Spatial agglomeration of resource industry， transmission factor extraction and mediator effectof resource curse［J］. Chinese Journal of Management Science, 2019,27(6):179-190.
［16］刘生龙, 胡鞍钢. 基础设施的外部性在中国的检验: 1988—2007［J］. 经济研究, 2010, 45(3): 4-15.Liu Shenglong, Hu Angang. Test on the externality of infrastructure in China：1988-2007［J］. Economic Research Journal, 2010,45(3):4-15.
［17］郭广珍, 刘瑞国, 黄宗晔. 交通基础设施影响消费的经济增长模型［J］. 经济研究, 2019, 54(3): 166-180.Guo Guangzhen, Liu Ruiguo, Huang Zongye.Cars on the road： an economic growth model of road infrastructure’s effect on consumption and economic growth［J］. Economic Research Journal,2019,54(3):166-180.
［18］ Gutiérrez J. Location, economic potential and daily accessibility: an analysis of the accessibility impact of the high-speed line madrid-barcelona-french border［J］. Journal of Transport Geography, 2001, 9(4): 229-242.
［19］王姣娥,丁金学.高速铁路对中国城市空间结构的影响研究［J］.国际城市规划,2011,26(6):49-54.Wang Jiaoe, Ding Jinxue. High-speed Rail and Its impacts on the Urban Spatial Structure of China［J］. Urban Planning International,2011,26(6):49-54.
［20］王姣娥,焦敬娟,金凤君.高速铁路对中国城市空间相互作用强度的影响［J］.地理学报,2014,69(12):1833-1846.Wang Jiaoe, Jiao Jingjuan, Jin Fengjun.Spatial effects of high-speed rails on interurban economic linkages in China［J］. Acta Geographica Sinica,2014,69(12):1833-1846.
［21］马学广,唐承辉.中国城市网络化空间联系与格局——基于高铁客运流的大数据分析［J］.经济地理,2018,38(4):55-64.Ma Xueguang, Tang Chenghui. Urban network spatial connection and structure in China based on big data analysis of high-speed railway transport flow［J］. Economic Geography, 2018,38(4):55-64.
［22］ Mahutga M C, Ma X, Smith D A, et al. Economic Globalisation and the Structure of the World City System: the Case of Airline Passenger Data［J］. Urban Studies, 2010, 47(9): 1925-1947.
［23］ Smith D A, Timberlake M F. World City Networks and Hierarchies, 1977-1997: an Empirical Analysis of Global Air Travel Links［J］. American Behavioral Scientist, 2001, 44(10): 1656-1678.
［24］ Dobruszkes F, Givoni M. Competition, integration, substitution: myths and realities concerning the relationship between high-speed rail and air transport in europe［J］. Transport and Sustainability, 2013, 4: 175-197.
［25］王姣娥,莫辉辉,金凤君.中国航空网络空间结构的复杂性［J］.地理学报,2009,64(8):899-910.Wang Jiaoe, Mo Huihui, Jin Fengjun. Spatial structural characteristics of Chinese aviation network based on complex network theory［J］. Acta Geographica Sinica,2009,64(8):899-910.
［26］张学良.中国交通基础设施促进了区域经济增长吗——兼论交通基础设施的空间溢出效应［J］.中国社会科学,2012(3):60-77+206.Zhang Xueliang.Does China’s Transport Infrastructure promote regional economic growth? —Also on the spatial spillover effect of transport infrastructure［J］. Social Sciences in China, 2012(3):60-77+206.
［27］ Autant-Bernard C, LeSage J P. Quantifying knowledge spillovers using spatial econometric models［J］. Journal of Regional Science, 2011, 51(3): 471-496.
［28］ Bertolini L. Station areas as nodes and places in urban networks: an analytical tool and alternative development strategies［J］. Physica-Verlag HD, 2008.
［29］陆林, 邓洪波. 节点-场所模型及其应用的研究进展与展望［J］. 地理科学, 2019, 39(1): 12-21.Lu Lin, Deng Hongbo. Research progress and prospect of node-place model and its application［J］. Scientia Geographica Sinica,2019,39(1):12-21.
［30］刘果. 高铁网络对节点场的影响机理研究［D］.重庆：重庆大学博士学位论文，2017.Liu Guo.Research on the effect mechanism of high speed rail network on nodal zone[D].Chongqing:Doctoral Dissertation of Chongqing University,2017.
［31］ Graham D J. Variable returns to agglomeration and the effect of road traffic congestion[J]. Journal of Urban Economics, 2007, 62(1): 103-120.
［32］李娜, 石敏俊, 张卓颖, 等. 基于多区域CGE模型的长江经济带一体化政策效果分析［J］. 中国管理科学, 2020, 28(12): 67-76.Li Na, Shi Minjun, Zhang Zhuoying， et al. Analysis on policy effects of integration of yangtze river economic belt based on a multi-regional CGE model［J］. Chinese Journal of Management Science, 2020,28(12):67-76.
［33］ Givoni M, Rietveld P. Do cities deserve more railway stations? the choice of a departure railway station in a multiple-station region［J］. Journal of Transport Geography, 2014, 36: 89-97.
［34］ McCann P, Acs Z J. Globalization: countries, cities and multinationals［J］. Regional Studies, 2011, 45(1): 17-32.
［35］ Long Genying. Understanding China’s recent growth experience: a spatial econometric perspective［J］. The Annals of Regional Science, 2003, 37(4): 613-628.
［36］陈丰龙, 徐康宁, 王美昌. 高铁发展与城乡居民收入差距: 来自中国城市的证据［J］. 经济评论, 2018(2): 59-73.Chen Fenglong, Xu Kangning, Wang Meichang. High speed railway development and urban-rural income inequality： evidence from Chinese cities［J］. Economic Review,2018(2):59-73.
［37］马光荣, 程小萌, 杨恩艳. 交通基础设施如何促进资本流动——基于高铁开通和上市公司异地投资的研究［J］. 中国工业经济, 2020(6): 5-23.Ma Guangrong, Cheng Xiaomeng, Yang Enyan. How does transportation infrastructure affect capital flows: a study from high-speed rail and cross-region investment of listed companies［J］. China Industrial Economics,2020(6):5-23.
［38］ Yang Xuehui, Zhang Huirong, Lin Shanlang, et al. Does high-speed railway promote regional innovation growth or innovation convergence?［J］. Technology in Society, 2021, 64: 101472.