High-Speed Rail and Industrial Agglomeration: Evidence from China’s Urban Agglomerations
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- Martins, Henrique Castro, 2022. "Competition and ESG practices in emerging markets: Evidence from a difference-in-differences model," Finance Research Letters, Elsevier, vol. 46(PA).
- Dan Zheng & Tatsuaki Kuroda, 2013. "The impact of economic policy on industrial specialization and regional concentration of China’s high-tech industries," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(3), pages 771-790, June.
- Karyn Morrissey, 2016. "A location quotient approach to producing regional production multipliers for the Irish economy," Papers in Regional Science, Wiley Blackwell, vol. 95(3), pages 491-506, August.
- Chia-Lin Chen & Anastasia Loukaitou-Sideris & José M. de Ureña & Roger Vickerman, 2019. "Spatial short and long-term implications and planning challenges of high-speed rail: a literature review framework for the special issue," European Planning Studies, Taylor & Francis Journals, vol. 27(3), pages 415-433, March.
- Li, Yan & Chen, Zhenhua & Wang, Peng, 2020. "Impact of high-speed rail on urban economic efficiency in China," Transport Policy, Elsevier, vol. 97(C), pages 220-231.
- Ramachandran, Renjith & Sasidharan, Subash & Doytch, Nadia, 2020. "Foreign direct investment and industrial agglomeration: Evidence from India," Economic Systems, Elsevier, vol. 44(4).
- Gabriel M Ahlfeldt & Arne Feddersen, 2018.
"From periphery to core: measuring agglomeration effects using high-speed rail,"
Journal of Economic Geography, Oxford University Press, vol. 18(2), pages 355-390.
- Ahlfeldt, Gabriel M. & Feddersen, Arne, 2015. "From periphery to core: measuring agglomeration effects using high-speed rail," LSE Research Online Documents on Economics 64507, London School of Economics and Political Science, LSE Library.
- Ahlfeldt, Gabriel M. & Feddersen, Arne, 2018. "From periphery to core: measuring agglomeration effects using high-speed rail," LSE Research Online Documents on Economics 69763, London School of Economics and Political Science, LSE Library.
- Gabriel M. Ahlfeldt & Arne Feddersen, 2015. "From Periphery to Core: Measuring Agglomeration Effects Using High-Speed Rail," SERC Discussion Papers 0172, Centre for Economic Performance, LSE.
- Ning, Lutao & Wang, Fan & Li, Jian, 2016. "Urban innovation, regional externalities of foreign direct investment and industrial agglomeration: Evidence from Chinese cities," Research Policy, Elsevier, vol. 45(4), pages 830-843.
- Kim, Hyojin & Sultana, Selima & Weber, Joe, 2018. "A geographic assessment of the economic development impact of Korean high-speed rail stations," Transport Policy, Elsevier, vol. 66(C), pages 127-137.
- Zhenhua Chen, 2019. "Measuring the regional economic impacts of high-speed rail using a dynamic SCGE model: the case of China," European Planning Studies, Taylor & Francis Journals, vol. 27(3), pages 483-512, March.
- Xuewei Wang & Shuangli Ding & Weidong Cao & Dalong Fan & Bin Tang, 2020. "Research on Network Patterns and Influencing Factors of Population Flow and Migration in the Yangtze River Delta Urban Agglomeration, China," Sustainability, MDPI, vol. 12(17), pages 1-19, August.
- Bertoni, Danilo & Curzi, Daniele & Aletti, Giacomo & Olper, Alessandro, 2020. "Estimating the effects of agri-environmental measures using difference-in-difference coarsened exact matching," Food Policy, Elsevier, vol. 90(C).
- Andrew Crawley & Todd M. Gabe & Mariya Pominova, 2021. "The Pitfalls of Using Location Quotients to Identify Clusters and Represent Industry Specialization in Small Regions," International Finance Discussion Papers 1329, Board of Governors of the Federal Reserve System (U.S.).
- Fei Ma & Zuohang Wang & Qipeng Sun & Kum Fai Yuen & Yanxia Zhang & Huifeng Xue & Shumei Zhao, 2020. "Spatial–Temporal Evolution of Urban Resilience and Its Influencing Factors: Evidence from the Guanzhong Plain Urban Agglomeration," Sustainability, MDPI, vol. 12(7), pages 1-24, March.
- Genevieve Giuliano & Sanggyun Kang & Quan Yuan, 2019. "Agglomeration economies and evolving urban form," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(3), pages 377-398, December.
- repec:hal:journl:hal-03062650 is not listed on IDEAS
- Liu, Zheming & Zeng, Saixing & Jin, Zhizhou & Shi, Jonathan Jingsheng, 2022. "Transport infrastructure and industrial agglomeration: Evidence from manufacturing industries in China," Transport Policy, Elsevier, vol. 121(C), pages 100-112.
- Guangliang Zhou & Congyu Zhao & Ming Wu & Yu Chen & Fuli Zhou & Marcio Eisencraft, 2022. "Spatial Heterogeneity of Coupling Coordination Development between Logistics and Economy in Central Plains of China," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-19, January.
- Douglas, Ian & Tan, David, 2017. "Global airline alliances and profitability: A difference-in-difference analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 432-443.
- Diodato, Dario & Neffke, Frank & O’Clery, Neave, 2018.
"Why do industries coagglomerate? How Marshallian externalities differ by industry and have evolved over time,"
Journal of Urban Economics, Elsevier, vol. 106(C), pages 1-26.
- Dario Diodato & Frank Neffke & Neave O'Clery, 2018. "Why do industries coagglomerate? How Marshallian externalities differ by industry and have evolved over time," Papers in Evolutionary Economic Geography (PEEG) 1814, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Mar 2018.
- Dario Diodato & Frank Neffke & Neave O'Clery, 2018. "Why do Industries Coagglomerate? How Marshallian Externalities Differ by Industry and Have Evolved Over Time," Growth Lab Working Papers 108, Harvard's Growth Lab.
- Dario Diodato & Frank Neffke & Neave O'Clery, 2018. "Why do Industries Coagglomerate? How Marshallian Externalities Differ by Industry and Have Evolved Over Time," CID Working Papers 89a, Center for International Development at Harvard University.
- Okamoto, Chigusa & Sato, Yasuhiro, 2021. "Impacts of high-speed rail construction on land prices in urban agglomerations: Evidence from Kyushu in Japan," Journal of Asian Economics, Elsevier, vol. 76(C).
- Wu, Rongxin & Lin, Boqiang, 2021. "Does industrial agglomeration improve effective energy service: An empirical study of China’s iron and steel industry," Applied Energy, Elsevier, vol. 295(C).
- Sophie Masson & Romain Petiot, 2009. "Can the High Speed Rail reinforce tourism attractiveness? The case of the High Speed Railway section between Perpignan (France) and Barcelona (Spain)," Post-Print hal-02422659, HAL.
- Ridhwan, Masagus M., 2021.
"Spatial wage differentials and agglomeration externalities: Evidence from Indonesian microdata,"
Economic Analysis and Policy, Elsevier, vol. 71(C), pages 573-591.
- Masagus M. Ridhwan, 2020. "Spatial Wage Differentials and Agglomeration Externalities: Evidence from Indonesian Microdata," Working Papers WP/03/2020, Bank Indonesia.
- Wang, Qian & Wang, Yanan & Chen, Wei & Zhou, Xue & Zhao, Minjuan & Zhang, Bangbang, 2020. "Do land price variation and environmental regulation improve chemical industrial agglomeration? A regional analysis in China," Land Use Policy, Elsevier, vol. 94(C).
- Wang, Feng & Wei, Xianjin & Liu, Juan & He, Lingyun & Gao, Mengnan, 2019. "Impact of high-speed rail on population mobility and urbanisation: A case study on Yangtze River Delta urban agglomeration, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 99-114.
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