With the rapid development of the high-speed railway,it has great changes in China's regional development pattern. This paper analyzes the impact mechanism of high-speed railway on China's regional coordinated development,and points out that the space-time compression effect of high-speed railway affects market integration effect,urban competition and cooperation effect and urban agglomeration space effect,which leads to the multi-center development of urban system,the diversification of industrial structure and the ordering of innovation network structure,gives birth to the coordinated governance of economic growth and ecological environment,and then promotes the regional coordinated development. Based on the background of high-speed railway construction and using the panel data from 2005 to 2019,this study applies the coupling coordination degree to measure the level of regional coordinated development in Hunan,and analyzes its evolution characteristics and the impact mechanism of high-speed railway on the regional coordinated development by the means of ESDA and the DID model respectively. The results show that: 1) The overall level of regional coordinated development in Hunan shows the increasing trend in the era of high-speed railway. 2) The spatial structure of urban coordinated development level is optimized. It has the highest level of coordination in Changsha. The coordinated level in cities along the Beijing-Hong Kong-Macao High-speed Railway,such as Changsha,Zhuzhou,Xiangtan,Yueyang, Hengyang and Chenzhou,is significantly higher than that in Western Hunan,showing a gradient decreasing trend from the east of Hunan to the west of Hunan as a whole. 3) High-speed railway has a positive impact on the regional coordinated development of Hunan. 4) High-speed railway indirectly affects the level of regional collaborative development through urban system,industrial structure,innovation network,tourism development and environmental collaborative governance
HE Tianxiang, LIU Di, HUANG linya, YANG Xite
. Impact Mechanism of High-speed Railway on Regional Coordinated Development：A Case Study of Hunan Province in 2005-2019[J]. Economic geography, 2022
, 42(5)
: 95
-103
.
DOI: 10.15957/j.cnki.jjdl.2022.05.010
[1] 王宇光,安树伟. 高速铁路影响区域经济发展的机理研究及展望[J]. 城市,2016(7):33-38.
[2] Haken H.Synergetics:Cooperative Phenomena in Multi-Component System[M]. Wiesbaden:Vieweg Teubner Verlag,1973.
[3] 罗知,齐博成. 环境规制的产业转移升级效应与银行协同发展效应——来自长江流域水污染治理的证据[J]. 经济研究,2021,56(2):174-189.
[4] Dong L,Liang H,Zhang L,et al.Highlighting regional Eco-industrial development:Life cycle benefits of an urban industrial symbiosis and implications in China[J]. Ecological Modelling,2017,361:164-176.
[5] 马海涛,黄晓东,罗奎. 京津冀城市群区域产业协同的政策格局及评价[J]. 生态学报,2018,38(12):4424-4433.
[6] 黄成,吴传清. 长江经济带工业绿色转型与生态文明建设的协同效应研究[J]. 长江流域资源与环境,2021,30(6):1287-1297.
[7] Ramos-Vielba I,Manuel Fernández-Esquinas,Espinosa-De-Los-Monteros E. Measuring university-industry collaboration in a regional innovation system[J]. Scientometrics,2010,84(3):649-667.
[8] 徐建斌,占强,刘春浩,等. 基于经济联系与空间流的长株潭城市群空间异质性分析[J]. 经济地理,2015,35(10):36-43.
[9] 张芷若,谷国锋. 科技金融与科技创新耦合协调度的空间格局分析[J]. 经济地理,2019,39(4):50-58.
[10] 李海东,王帅,刘阳. 基于灰色关联理论和距离协同模型的区域协同发展评价方法及实证[J]. 系统工程理论与实践,2014,34(7):1749-1755.
[11] 魏丽华. 论城市群经济联系对区域协同发展的影响——基于京津冀与沪苏浙的比较[J]. 地理科学,2018,38(4):575-579.
[12] 闫昊生,孙久文. 京津冀协同发展的理论解释——基于“新”新经济地理学的视角[J]. 经济与管理研究,2018,39(1):57-67.
[13] 薄文广,殷广卫. 京津冀协同发展:进程与展望[J]. 南开学报:哲学社会科学版,2017(6):65-75.
[14] 展金泳,张海荣,李浩. 粤港澳区域经济协调发展的时间演变与空间分布研究[J]. 城市发展研究,2016,23(8):22-25.
[15] 曾刚,曹贤忠,王丰龙. 长江经济带城市协同发展格局及其优化策略初探[J]. 中国科学院院刊,2020,35(8):951-959.
[16] 钟业喜,黄洁,文玉钊. 高铁对中国城市可达性格局的影响分析[J]. 地理科学,2015,35(4):387-395.
[17] 宋文杰,朱青,朱月梅,等. 高铁对不同规模城市发展的影响[J]. 经济地理,2015,35(10):57-63.
[18] 陆军,宋吉涛,梁宇生,等. 基于二维时空地图的中国高铁经济区格局模拟[J]. 地理学报,2013,68(2):147-158.
[19] 何天祥,黄琳雅. 高铁网络对湖南区域经济协同发展影响[J]. 地理科学,2020,40(9):1439-1449.
[20] 杨珍丽,唐承丽,周国华,等. 城市群—开发区—产业集群协同发展研究——以长株潭城市群为例[J]. 经济地理,2018,38(1):78-84.
[21] Chen Y C,Hung M,Wang Y.The effect of mandatory CSR disclosure on firm profitability and social externalities:Evidence from China[J]. Social Science Electronic Publishing,2017,65(1):169-190.
[22] 吴康,方创琳,赵渺希,等. 京津城际高速铁路影响下的跨城流动空间特征[J]. 地理学报,2013,68(2):159-174.
[23] 陆林,余凤龙. 中国旅游经济差异的空间特征分析[J]. 经济地理,2005,25(3):406-410.
[24] Card A D.Using the longitudinal structure of earnings to estimate the effect of training programs[J]. The Review of Economics and Statistics,1985,67(4):648-660.
[25] Gruber J,Poterba J.Tax Incentives and the Decision to Purchase Health Insurance:Evidence from the Self-Employed[J]. Working papers,1994,109(3):701-33.
[26] 程开明,庄燕杰. 城市体系位序—规模特征的空间计量分析——以中部地区地级以上城市为例[J]. 地理科学,2012,32(8):905-912.
[27] 何天祥,陈晓红. 动态外部性与城市群经济增长收敛的实证研究[J]. 系统工程理论与实践[J]. 系统工程理论与实践,2017,37(11):2791-2800.
[28] 段德忠,杜德斌,谌颖,等. 中国城市创新网络的时空复杂性及生长机制研究[J]. 地理科学,2018,38(11):1759-1768.
