The Causality Analysis between Transportation and Regional Development in City-level China

被引:0
|
作者
He, Sanwei [1 ]
Mei, Lei [2 ]
Zhang, Wenting [3 ]
机构
[1] Zhongnan Univ Econ & Law, Sch Publ Adm, Wuhan, Peoples R China
[2] Jianghan Univ, Inst Wuhan Studies, Wuhan, Peoples R China
[3] Huazhong Agr Univ, Coll Resource & Environm, Wuhan, Peoples R China
基金
中国国家自然科学基金;
关键词
panel causality; transportation; regional development; highway infrastructure; China; GRANGER-CAUSALITY; ECONOMIC-GROWTH; INFRASTRUCTURE; EXPENDITURE; OUTPUT;
D O I
10.1109/ictis.2019.8883790
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
The causality between transportation and regional development has been subject to heated debates. The existing studies investigating the causality between transportation and regional development tend to utilize panel data but assume homogeneity across individuals. This paper aims to handle the problem of panel heterogeneity embedded in Granger causality between transportation and regional development in urban China. We use a panel made up of 216 city districts in China from 1994 to 2013. The homogeneous (non)causality is firstly tested in the panel data model and then heterogeneous (non)causality is further examined if the first test fails. Homogeneous causality can only be observed in coastal region while heterogeneous non-causality dominates in central, western and northeastern China. The results demonstrate 45% of bidirectional causality, 37% of unidirectional causality running from regional development to transportation, 10% of no causality and 8% of unidirectional causality from transportation to regional development in China.
引用
收藏
页码:1309 / 1313
页数:5
相关论文
共 50 条
  • [41] Assessing the effectiveness of city-level electric vehicle policies in China
    Qiu, Y. Q.
    Zhou, P.
    Sun, H. C.
    ENERGY POLICY, 2019, 130 : 22 - 31
  • [42] High-speed rail development and urban environmental efficiency in China: A city-level examination
    Sun, Xinyu
    Yan, Sen
    Liu, Tao
    Wu, Jianhan
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2020, 86
  • [43] Causality between transportation infrastructure and economic development in Pakistan: An ARDL analysis
    Alam, Khalid Mehmood
    Li, Xuemei
    Baig, Saranjam
    Ghanem, Osman
    Hanif, Salman
    RESEARCH IN TRANSPORTATION ECONOMICS, 2021, 88
  • [44] Regional inequality in the US: Evidence from city-level purchasing power
    Choi, Chi-Young
    Choi, Horag
    Chudik, Alexander
    JOURNAL OF REGIONAL SCIENCE, 2020, 60 (04) : 738 - 774
  • [45] ASSOCIATION BETWEEN SCHOOL DESEGREGATION AND THE COGNITION OF OLDER BLACK MEN: A CITY-LEVEL ANALYSIS
    Perryman, Collin
    Anderson, Taharka
    Thorpe, Roland J.
    Whitfield, Keith
    INNOVATION IN AGING, 2023, 7 : 993 - 993
  • [46] Natural resource dependence and sustainable development policy: Insights from city-level analysis
    Liu, Yishuang
    Huang, Jinpeng
    Xu, Jianxiang
    Xiong, Shufei
    RESOURCES POLICY, 2024, 91
  • [47] Does the digital economy contribute to carbon emissions reduction? A city-level spatial analysis in China
    Wang, Jun
    Luo, Xi
    Zhu, Jie
    CHINESE JOURNAL OF POPULATION RESOURCES AND ENVIRONMENT, 2022, 20 (02) : 105 - 114
  • [48] The impact of broadband speed on innovation: City-level evidence from China
    Chen, Jialing
    Wang, Jiancheng
    HELIYON, 2023, 9 (01)
  • [49] Does the digital economy contribute to carbon emissions reduction?A city-level spatial analysis in China
    Jun Wang
    Xi Luo
    Jie Zhu
    Chinese Journal of Population,Resources and Environment, 2022, (02) : 105 - 114
  • [50] Spatial-temporal characteristics of PM2.5 in China: A city-level perspective analysis
    Chuanglin Fang
    Zhenbo Wang
    Guang Xu
    Journal of Geographical Sciences, 2016, 26 : 1519 - 1532