Global evidence on productivity effects of road infrastructure incorporating spatial spillover effects. (March 2021)
- Record Type:
- Journal Article
- Title:
- Global evidence on productivity effects of road infrastructure incorporating spatial spillover effects. (March 2021)
- Main Title:
- Global evidence on productivity effects of road infrastructure incorporating spatial spillover effects
- Authors:
- Konno, Akio
Kato, Hironori
Takeuchi, Wataru
Kiguchi, Riku - Abstract:
- Abstract: This paper empirically analyzes the productivity effects of road infrastructure incorporating spatial spillover effects using a global database, which was originally developed in 2010 at a grid-cell scale of 0.1-degree covering all land areas in the world by integrating national-level statistical socio-economic data with available global data sources of nighttime lights imagery, global population database, and global road network. A macroscopic Hicks-neutral Cobb-Douglas production function, containing input factors of capital stock, labor force, and road infrastructure is estimated with the global dataset of 14, 565 aggregated grids at 1.0-degree grid-cell scale, using ordinary least squares, spatial error model, spatial lag model, and spatial Durbin model (SDM). The statistical tests suggest that there is significant spatial dependence particularly in the error term and the overall results of the model estimations indicate that the SDM outperforms other models. The estimates of SDM further show that the direct impact of road infrastructure is significantly negative, spatial spillover effect is significantly positive, and overall effect is positive but insignificant. Highlights: Economic productivity effect of road infrastructure is analyzed in a global scale. Spatial spillover effect is incorporated into regional production function. Global dataset at 1-degree grid is used for estimating spatial econometric models. Results showed negative direct effect andAbstract: This paper empirically analyzes the productivity effects of road infrastructure incorporating spatial spillover effects using a global database, which was originally developed in 2010 at a grid-cell scale of 0.1-degree covering all land areas in the world by integrating national-level statistical socio-economic data with available global data sources of nighttime lights imagery, global population database, and global road network. A macroscopic Hicks-neutral Cobb-Douglas production function, containing input factors of capital stock, labor force, and road infrastructure is estimated with the global dataset of 14, 565 aggregated grids at 1.0-degree grid-cell scale, using ordinary least squares, spatial error model, spatial lag model, and spatial Durbin model (SDM). The statistical tests suggest that there is significant spatial dependence particularly in the error term and the overall results of the model estimations indicate that the SDM outperforms other models. The estimates of SDM further show that the direct impact of road infrastructure is significantly negative, spatial spillover effect is significantly positive, and overall effect is positive but insignificant. Highlights: Economic productivity effect of road infrastructure is analyzed in a global scale. Spatial spillover effect is incorporated into regional production function. Global dataset at 1-degree grid is used for estimating spatial econometric models. Results showed negative direct effect and positive spatial spillover effect. Total effect from road infrastructure is positive but statistically insignificant. … (more)
- Is Part Of:
- Transport policy. Volume 103(2021)
- Journal:
- Transport policy
- Issue:
- Volume 103(2021)
- Issue Display:
- Volume 103, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 103
- Issue:
- 2021
- Issue Sort Value:
- 2021-0103-2021-0000
- Page Start:
- 167
- Page End:
- 182
- Publication Date:
- 2021-03
- Subjects:
- Road infrastructure -- Global analysis -- Spillover effect -- Economic productivity -- Spatial model
Transportation and state -- Periodicals
Transportation -- Rates -- Periodicals
388 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0967070X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.tranpol.2021.02.007 ↗
- Languages:
- English
- ISSNs:
- 0967-070X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9025.857730
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16166.xml