A spatial autoregressive panel model to analyze road network spillovers on production
被引:16
|
作者:
Alvarez, Inmaculada C.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Autonoma Madrid, Dept Anal Econ Teoria Econ & Hist Econ, C Francisco Tomas y Valiente 5, E-28049 Madrid, SpainUniv Autonoma Madrid, Dept Anal Econ Teoria Econ & Hist Econ, C Francisco Tomas y Valiente 5, E-28049 Madrid, Spain
Alvarez, Inmaculada C.
[1
]
Barbero, Javier
论文数: 0引用数: 0
h-index: 0
机构:
Univ Autonoma Madrid, Dept Anal Econ Teoria Econ & Hist Econ, C Francisco Tomas y Valiente 5, E-28049 Madrid, SpainUniv Autonoma Madrid, Dept Anal Econ Teoria Econ & Hist Econ, C Francisco Tomas y Valiente 5, E-28049 Madrid, Spain
Barbero, Javier
[1
]
Zofio, Jose L.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Autonoma Madrid, Dept Anal Econ Teoria Econ & Hist Econ, C Francisco Tomas y Valiente 5, E-28049 Madrid, SpainUniv Autonoma Madrid, Dept Anal Econ Teoria Econ & Hist Econ, C Francisco Tomas y Valiente 5, E-28049 Madrid, Spain
Zofio, Jose L.
[1
]
机构:
[1] Univ Autonoma Madrid, Dept Anal Econ Teoria Econ & Hist Econ, C Francisco Tomas y Valiente 5, E-28049 Madrid, Spain
Transport spillovers;
Production function;
Panel data econometrics;
GIS (Geographic Information Systems);
Market access;
Network analysis;
D O I:
10.1016/j.tra.2016.08.018
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
The production function approach is used to introduce the effect of public infrastructure on economic growth focusing on its spillover effects. We improve the existing literature both from a conceptual and methodological perspective. As regressors we incorporate variables related to the new concepts of internal and imported transport infrastructure capital stocks, which are actually used in commercial flows, calculated by network analysis performed in GIS. The internally used capital stock represents own infrastructure that benefits accessing markets within the region itself, while the imported capital stock captures the spillover effect associated to the use of the infrastructure situated in neighboring regions. From a methodological perspective, we introduce spatial interdependence into these models, applying the most recent spatial econometric techniques based on instrumental variables estimation in spatial autoregressive panel models in comparison with Maximum Likelihood estimation methods. We illustrate the methodology with Spanish provincial panel data for the period 1980-2007. Results support the hypothesis that the imported capital has a positive spillover effect on production. (C) 2016 Elsevier Ltd. All rights reserved.
机构:
Laboratoire Paul Painlevé, UMR 8524, Université des Sciences et Technologies de LilleLaboratoire Paul Painlevé, UMR 8524, Université des Sciences et Technologies de Lille
Davydov Y.
Paulauskas V.
论文数: 0引用数: 0
h-index: 0
机构:
Department of Mathematics and Informatics, Vilnius University, Vilnius 03225
Institute of Mathematics and Informatics, VilniusLaboratoire Paul Painlevé, UMR 8524, Université des Sciences et Technologies de Lille
机构:
Univ Int Business & Econ, Sch Int Trade & Econ, 10 Huixin East St, Beijing 100029, Peoples R ChinaUniv Int Business & Econ, Sch Int Trade & Econ, 10 Huixin East St, Beijing 100029, Peoples R China
机构:
School of Economics and Management, Beihang University, Beijing
Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations, BeijingSchool of Economics and Management, Beihang University, Beijing
Huang T.
Wang H.
论文数: 0引用数: 0
h-index: 0
机构:
School of Economics and Management, Beihang University, Beijing
Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, BeijingSchool of Economics and Management, Beihang University, Beijing
Wang H.
Saporta G.
论文数: 0引用数: 0
h-index: 0
机构:
Centre d'études et de Recherche en Informatique et Communications, Conservatoire National des Arts et Métiers, ParisSchool of Economics and Management, Beihang University, Beijing
Saporta G.
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics,
2019,
45
(01):
: 93
-
98
机构:
Shanghai Normal Univ, Coll Math & Sci, Dept Math, Shanghai 200234, Peoples R ChinaShanghai Normal Univ, Coll Math & Sci, Dept Math, Shanghai 200234, Peoples R China
机构:
Beijing Univ Technol, Sch Math Stat & Mech, Beijing 100124, Peoples R ChinaBeijing Univ Technol, Sch Math Stat & Mech, Beijing 100124, Peoples R China
Tian, Lingling
Wei, Chuanhua
论文数: 0引用数: 0
h-index: 0
机构:
Minzu Univ China, Sch Sci, Beijing 100081, Peoples R ChinaBeijing Univ Technol, Sch Math Stat & Mech, Beijing 100124, Peoples R China
Wei, Chuanhua
Wu, Mixia
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Univ Technol, Sch Math Stat & Mech, Beijing 100124, Peoples R ChinaBeijing Univ Technol, Sch Math Stat & Mech, Beijing 100124, Peoples R China