Impact of high-speed rail on income inequalities in Italy

被引:12
作者
Di Matteo, Dante [1 ,2 ,4 ]
Cardinale, Bernardo [3 ]
机构
[1] eCampus Univ, Via Isimbardi 10, I-22060 Novedrate, CO, Italy
[2] CiMET Italys Natl Univ, Ctr Appl Econ Studies, Ferrara, FE, Italy
[3] Univ Teramo, Campus Coste St Agostino,Via Balzarini 1, I-64100 Teramo, TE, Italy
[4] eCampus Univ, Via Isimbardi 10, I-22060 Novedrate, CO, Italy
关键词
High-speed rail; Income inequalities; Policy evaluation; Italy; ECONOMIC-GROWTH; REGIONAL EQUITY; CHINA; ACCESSIBILITY; NETWORK; DISPARITY; EVENT; LINES;
D O I
10.1016/j.jtrangeo.2023.103652
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper investigates the effects of high-speed rail (HSR) on household income inequalities in Italy at the province level. Gini index, both including and excluding rent expenses, is used as dependent variable to evaluate the effects of the policy in the timeframe 2003-2019. Two-way fixed-effects model is employed to measure the relationship, while augmented synthetic control with staggered treatment adoption, and staggered difference-in-differences explore the sensitivity of results. Main findings suggest a general reduction of inequalities among the provinces receiving HSR treatment, but the effect is not long-lasting many years over the policy outset. Het-erogeneities arise depending on whether the station is basic-type or multimodal, and whether the treated province is core or intermediate. Small-sized provinces particularly benefited from the HSR introduction, showing a clear potential to pursue economic convergence objectives. Mechanisms analysis shows that HSR induced the reduction of household income inequalities by positively influencing per capita GDP and employ-ment levels.
引用
收藏
页数:10
相关论文
共 47 条
[1]   From periphery to core: measuring agglomeration effects using high-speed rail [J].
Ahlfeldt, Gabriel M. ;
Feddersen, Arne .
JOURNAL OF ECONOMIC GEOGRAPHY, 2018, 18 (02) :355-390
[2]   The Augmented Synthetic Control Method [J].
Ben-Michael, Eli ;
Feller, Avi ;
Rothstein, Jesse .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2021, 116 (536) :1789-1803
[3]   An innovative framework for integrating Cost-Benefit Analysis (CBA) within Building Information Modeling (BIM) [J].
Biancardo, Salvatore Antonio ;
Gesualdi, Michele ;
Savastano, Davide ;
Intignano, Mattia ;
Henke, Ilaria ;
Pagliara, Francesca .
SOCIO-ECONOMIC PLANNING SCIENCES, 2023, 85
[4]  
Biggiero Luigi, 2017, Int. J. Transp. Dev. Integr., V1, P194
[5]   On the modal shift from motorway to high-speed rail: evidence from Italy [J].
Borsati, Mattia ;
Albalate, Daniel .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2020, 137 :145-164
[6]   Economic growth, transport accessibility and regional equity impacts of high-speed railways in Italy: ten years ex post evaluation and future perspectives [J].
Cascetta, Ennio ;
Carteni, Armando ;
Henke, Ilaria ;
Pagliara, Francesca .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2020, 139 :412-428
[7]   Spatial and social equity implications for High-Speed Railway lines in Northern Italy [J].
Cavallaro, Federico ;
Bruzzone, Francesco ;
Nocera, Silvio .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2020, 135 :327-340
[8]   Can transport infrastructure change regions' economic fortunes? Some evidence from Europe and China [J].
Chen, Chia-Lin ;
Vickerman, Roger .
REGIONAL STUDIES, 2017, 51 (01) :144-160
[9]   Can high-speed rail improve health and alleviate health inequality? Evidence from China [J].
Chen, Fanglin ;
Hao, Xinyue ;
Chen, Zhongfei .
TRANSPORT POLICY, 2021, 114 :266-279
[10]   Impact of high-speed rail on regional economic disparity in China [J].
Chen, Zhenhua ;
Haynes, Kingsley E. .
JOURNAL OF TRANSPORT GEOGRAPHY, 2017, 65 :80-91