Effects of High-speed Rail Construction on the Evolution of Industrial Agglomeration: Evidence from Three Great Bay Areas in China
dc.contributor.author | Fang, Lei | |
dc.contributor.author | Zhang, Xuewei | |
dc.contributor.author | Feng, Zihua | |
dc.contributor.author | Cao, Ce | |
dc.contributor.other | Ekonomická fakulta | cs |
dc.date.accessioned | 2020-06-04T08:31:46Z | |
dc.date.available | 2020-06-04T08:31:46Z | |
dc.description.abstract | High-speed rail is an important transportation infrastructure that can promote regional economic growth and adjust industrial layout. To explore the impact of high-speed rail construction on the industrial spatial layout of China’s Bay Area, the effects of high-speed rail construction on industrial spatial layout of the Circum-Bohai Great Bay Area, the Circum-Yangtze Estuary Great Bay Area, and the Guangdong–Hong Kong–Macao Greater Bay Area in China were analyzed by using DID (difference-in-differences) model and quantile treatment effect based on the panel data obtained from 2005 to 2016. Results demonstrate that high-speed rail construction signifi cantly affects industrial spatial layout of urban areas. Due to high-speed rail construction, manufacturing and real estate industries in the Circum-Bohai Great Bay Area expand greatly and show a signifi cant diffusion effect. This diffusion promotes agglomeration of wholesale and retail, real estate, transportation, warehousing, and post industries in small cities. High-speed rail construction exhibits an agglomeration effect on fi nancial industry in the Circum-Yangtze Estuary Great Bay Area. High- speed rail construction facilitates clustering of manufacturing, fi nancial, and transportation industries in small cities. The impact of high-speed rail construction on manufacturing, accommodation and catering, fi nancial, transportation, warehousing, and post industries in Guangdong–Hong Kong– Macao Greater Bay Area shows a diffusion effect. In sum, high-speed rail construction causes an evolution of industrial agglomeration in three great bay areas in China. The conclusion provides decision references for optimization of industrial spatial layout in great bay areas. | en |
dc.format | text | |
dc.identifier.doi | 10.15240/tul/001/2020-2-002 | |
dc.identifier.eissn | 2336-5604 | |
dc.identifier.issn | 1212-3609 | |
dc.identifier.uri | https://dspace.tul.cz/handle/15240/154916 | |
dc.language.iso | en | |
dc.publisher | Technická Univerzita v Liberci | cs |
dc.publisher | Technical university of Liberec, Czech Republic | en |
dc.publisher.abbreviation | TUL | |
dc.relation.isbasedon | Brouwer, R., Cauchi, J., & Verhoeven, J. (2014). Regulatory decision-making under uncertainty: Are costs proportionate to benefi ts when restricting dangerous chemicals on European markets? Regulatory Toxicology and Pharmacology, 68(3), 438–446. https://doi. org/10.1016/j.yrtph.2014.01.016 | |
dc.relation.isbasedon | Cao, J., Liu, X. C., Wang, Y., & Li, Q. (2013). Accessibility impacts of China’s high-speed rail network. Journal of Transport Geography, 28, 12–21. https://doi.org/10.1016/j. jtrangeo.2012.10.008 | |
dc.relation.isbasedon | Chen, C.-L. (2012). Reshaping Chinese space-economy through high-speed trains: Opportunities and challenges. Journal of Transport Geography, 22, 312–316. https://doi. org/10.1016/j.jtrangeo.2012.01.028 | |
dc.relation.isbasedon | Cosido-Cobos, O. J., Salcines-Menezo, A., Loucera-Munecas, C., & Lorenzana- Iban, A. (2018). Reverse engineering using photogrammetry and segmentation for industrial structures. DYNA, 93(5), 479–482. https://doi. org/10.6036/8549 | |
dc.relation.isbasedon | Coto-Millán, P., Inglada, V., & Rey, B. (2007). Effects of network economics in high- speed rail: the Spanish case. The Annals of Regional Science, 41(4), 911–925. https://doi. org/10.1007/s00168-007-0134-6 | |
dc.relation.isbasedon | Delaplace, M., & Dobruszkes, F. (2015). From low-cost airlines to low-cost high-speed rail? The French case. Transport Policy, 38, 73–85. https://doi.org/10.1016/j.tranpol.2014.12.006 | |
dc.relation.isbasedon | Dobruszkes, F., Givoni, M., & Vowles, T. (2017). Hello major airports, goodbye regional airports? Recent changes in European and US low-cost airline airport choice. Journal of Air Transport Management, 59, 50–62. https://doi. org/10.1016/j.jairtraman.2016.11.005 | |
dc.relation.isbasedon | Givoni, M. (2006). Development and impact of the modern high-speed train: A review. Transport Reviews, 26(5), 593–611. https://doi. org/10.1080/01441640600589319 | |
dc.relation.isbasedon | Givoni, M., & Chen, X. (2017). Airline and railway disintegration in China: the case of shanghai Hongqiao integrated transport hub. Transportation letters, 9(4), 202–214. https://doi.org/10.1080/19427867.2016.1252877 | |
dc.relation.isbasedon | Hall, P. (2009). Magic carpets and seamless webs: opportunities and constraints for high- speed trains in Europe. Built Environment, 35(1), 59–69. https://doi.org/10.2148/benv.35.1.59 | |
dc.relation.isbasedon | Henderson, J. V., & Wang, H. G. (2007). Urbanization and city growth: The role of institutions. Regional Science and Urban Economics, 37(3), 282–313. https://doi. org/10.1016/j.regsciurbeco.2006.11.008 | |
dc.relation.isbasedon | Huhtala, M., Kangas, M., Kaptein, M., & Feldt, T. (2018). The shortened Corporate Ethical Virtues scale: Measurement invariance and mean differences across two occupational groups. Business Ethics: A European Review, 27(3), 238–247. https://doi.org/10.1111/beer.12184 | |
dc.relation.isbasedon | Jiang, H. X., Cai, H. N., & Meng, X. C. (2017). Research of effects of high-speed rail on industrial structures in cities in China. Human Geography, 2017(5), 132–138. https://doi. org/10.13959/j.issn.1003-2398.2017.05.019 | |
dc.relation.isbasedon | Karolys, B., Llanes-Cedeño, E., Vega, W., Cevallos, S., & Rocha-Hoyos, J. (2019). Effect of injection parameters and emission characteristics in a common-rail direct injection diesel engine in height conditions: A review. Journal of Engineering Science & Technology Review, 12(3), 164–171. https://doi.org/10.25103/jestr.123.22 | |
dc.relation.isbasedon | Ke, X., Chen, H., & Hong, Y. (2017). Do China’s High-speed-rail projects promote local economy? Evidence from a panel data approach. China Economic Review, 44, 203–226. https://doi.org/10.1016/j.chieco.2017.02.008 | |
dc.relation.isbasedon | Levinson, D. M. (2012). Accessibility impacts of high-speed rail. Journal of Transport Geography, 22, 288–291. https://doi. org/10.1016/j.jtrangeo.2012.01.029 | |
dc.relation.isbasedon | Li, X.-J., Huang, B., Li, R.-R., & Zhang, Y.-P. (2016). Exploring the impact of high speed railways on the spatial redistribution of economic activities – Yangtze river delta urban agglomeration as a case study. Journal of Transport Geography, 57, 194–206. https://doi. org/10.1016/j.jtrangeo.2016.10.011 | |
dc.relation.isbasedon | Li, X. S., & Su, B. (2017). Does opening high-speed rail facilitate agglomeration of manufacturing industry in regions? A quasi natural experimental study on Beijing- Guangzhou high-speed rail. China Soft Science, 7, 81–90. | |
dc.relation.isbasedon | Liu, N. Q., & Wu, Y. (2017). Does market expansion in Yangtze River delta can facilitate co-economic growth? Chinese Industrial Economics, 2017(6), 79–97. https://doi. org/10.19581/j.cnki.ciejournal.2017.06.019 | |
dc.relation.isbasedon | Martínez Sánchez-Mateos, H. S., & Givoni, M. (2012). The accessibility impact of a new high-speed rail line in the UK: A preliminary analysis of winners and losers. Journal of Transport Geography, 25, 105–114. https://doi. org/10.1016/j.jtrangeo.2011.09.004 | |
dc.relation.isbasedon | Monzón, A., Ortega, E., & López, E. (2013). Effi ciency and spatial equity impacts of high-speed rail extensions in urban areas. Cities, 30, 18–30. https://doi.org/10.1016/j. cities.2011.11.002 | |
dc.relation.isbasedon | Qin, Y. (2017). No county left behind? The distributional impact of high speed rail upgrades in China. Journal of Economic Geography, 17(3), 489–520. https://doi.org/10.1093/jeg/lbw013 | |
dc.relation.isbasedon | Qin, C.-L., & Chai, Q.-Y. (2018). Traffi c network construction and integrated development in Guangdong – Hong Kong – Macao Greater Bay Area. China Soft Science, 2017(7), 71–79. | |
dc.relation.isbasedon | Shao, S., Tian, Z., & Yang, L. (2017). High speed rail and urban service industry agglomeration: evidence from China’s Yangtze River delta region. Journal of Transport Geography, 64, 174–183. https://doi. org/10.1016/j.jtrangeo.2017.08.019 | |
dc.relation.isbasedon | Shaw, S.-L., Fang, Z., Lu, S., & Tao, R. (2014). Impacts of high speed rail on railroad network accessibility in China. Journal of Transport Geography, 40, 112–122. https://doi. org/10.1016/j.jtrangeo.2014.03.010 | |
dc.relation.isbasedon | Tormo-Carbó, G., Oltra, V., Klimkiewicz, K., & Seguí-Mas, E. (2019). “Don’t try to teach me, I got nothing to learn”: Management students’ perceptions of business ethics teaching. Business Ethics: A European Review, 28(4), 506–528. https://doi.org/10.1111/beer.12236 | |
dc.relation.isbasedon | Urrutia-Azcona, K., Fontan-Agorreta, L., Javier Diez-Trinidad, F., Rodriguez-Perez- Curiel, F., & Vicente Gomez, J. (2018). Smart zero carbon city readiness level: indicator system for city diagnosis in the Basque country moving towards decarbonization. DYNA, 93(3), 332–338. https://doi.org/10.6036/8476 | |
dc.relation.isbasedon | Vaturi, A., Portnov, B. A., & Gradus, Y. (2011). Train access and fi nancial performance of local authorities: greater Tel Aviv as a case study. Journal of Transport Geography, 19(2), 224–234. https://doi.org/10.1016/j.jtrangeo.2010.02.008 | |
dc.relation.isbasedon | Verma, A., Sudhira, H. S., Rathi, S., King, R., & Dash, N. (2013). Sustainable urbanization using high speed rail (HSR) in Karnataka, India. Research in Transportation Economics, 38(1), 67–77. https://doi.org/10.1016/j.retrec.2012.05.013 | |
dc.relation.isbasedon | Vickerman, R. (2015). High-speed rail and regional development: the case of intermediate stations, Journal of Transport Geography, 42, 157–165. https://doi.org/10.1016/j. jtrangeo.2014.06.008 | |
dc.relation.isbasedon | Wang, K., Xia, W., & Zhang, A. (2017). Should China further expand its high-speed rail network? Consider the low-cost carrier factor. Transportation Research Part A: Policy and Practice, 100, 105–120. https://doi. org/10.1016/j.tra.2017.04.010 | |
dc.relation.isbasedon | Xheneti, M., Smallbone, D., & Welter, F. (2013). EU enlargement effects on cross-border informal entrepreneurial activities. European Urban and Regional Studies, 20(3), 314–328. https://doi.org/10.1177/0969776411434849 | |
dc.relation.isbasedon | Xie, Z. (2018). Speed limit safety of expressway curves based on the critical state evaluation model of vehicle side rollover. Journal of Engineering Science & Technology Review, 11(1), 109–116. https://doi.org/10.25103/ jestr.111.13 | |
dc.relation.isbasedon | Yang, Y. R., Dobruszkes, F., Wang, J., Dijst, M., & Witte, P. (2018). Comparing China’s urban systems in high-speed railway and airline networks. Journal of Transport Geography, 68, 233–244. https://doi.org/10.1016/j. jtrangeo.2018.03.015 | |
dc.relation.isbasedon | Yin, M., Bertoloni, L., & Duan, J. (2015). The effects of the high-speed railway on urban development international experience and potential implications for China. Progress in Planning, 98, 1–52. https://doi.org/10.1016/j. progress.2013.11.001 | |
dc.relation.isbasedon | Zhao, D. X., Han, Z. L., Wang, L., & Zhao, B. (2015). Basic pattern of regional division of labor in Circum-Bohai Sea areas. Economic Geography, 35(6), 8–16. https://doi. org/10.15957/j.cnki.jjdl.2015.06.002 | |
dc.relation.isbasedon | Zhao, W., & Chen, Y. F. (2018). Location distribution effect of high-speed rail: Study based on theory and empirical evidences. Comparative Economic and Social Systems, 5(3), 44–52. | |
dc.relation.ispartof | Ekonomie a Management | cs |
dc.relation.ispartof | Economics and Management | en |
dc.relation.isrefereed | true | |
dc.rights | CC BY-NC | |
dc.subject | high-speed rail | en |
dc.subject | industrial agglomeration | en |
dc.subject | three Great Bay Area | en |
dc.subject | DID model | en |
dc.subject | quantile treatment effect | en |
dc.subject.classification | L92 | |
dc.subject.classification | P25 | |
dc.subject.classification | R41 | |
dc.title | Effects of High-speed Rail Construction on the Evolution of Industrial Agglomeration: Evidence from Three Great Bay Areas in China | en |
dc.type | Article | en |
local.access | open | |
local.citation.epage | 32 | |
local.citation.spage | 17 | |
local.faculty | Faculty of Economics | |
local.filename | EM_2_2020_2 | |
local.fulltext | yes | |
local.relation.abbreviation | E+M | cs |
local.relation.abbreviation | E&M | en |
local.relation.issue | 2 | |
local.relation.volume | 23 |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- EM_2_2020_02.pdf
- Size:
- 1.05 MB
- Format:
- Adobe Portable Document Format
- Description:
- článek