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Xiaofang Dong

Personal Details

First Name:Xiaofang
Middle Name:
Last Name:Dong
Suffix:
RePEc Short-ID:pdo226
Terminal Degree:2012 Southwestern University of Finance and Economics (SWUFE) (from RePEc Genealogy)

Affiliation

Wang Yanan Institute for Studies in Economics (WISE)
Xiamen University

Fujian, China
http://www.wise.xmu.edu.cn/
RePEc:edi:wixmucn (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Xiaofang Dong & Siqi Zheng & Matthew E. Kahn, 2018. "The Role of Transportation Speed in Facilitating High Skilled Teamwork," NBER Working Papers 24539, National Bureau of Economic Research, Inc.
  2. Dong, Xiaofang & Fu, Shihe & Yuan, Yufei, 2012. "Impact fees and real estate prices: evidence from 35 Chinese cities," MPRA Paper 48047, University Library of Munich, Germany.
  3. Stephen L. Ross & Xiaofang Dong, 2012. "Understanding the Internal Structure of Self-Organizing Cities," Working papers 2012-34, University of Connecticut, Department of Economics.
  4. Fu, Shihe & Dong, Xiaofang & Chai, Guojun, 2008. "Industry specialization, diversification, churning, and unemployment in Chinese cities," MPRA Paper 15339, University Library of Munich, Germany.

Articles

  1. Xiaofang Dong & Stephen L. Ross, 2015. "Accuracy and efficiency in simulating equilibrium land-use patterns for self-organizing cities," Journal of Economic Geography, Oxford University Press, vol. 15(4), pages 707-722.
  2. Xiaofang Dong & Shihe Fu & Yufei Yuan, 2013. "Impact Fees and Real Estate Prices: Evidence from 35 Chinese Cities," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 8(2), pages 207-219, June.
  3. FU, Shihe & DONG, Xiaofang & CHAI, Guojun, 2010. "Industry specialization, diversification, churning, and unemployment in Chinese cities," China Economic Review, Elsevier, vol. 21(4), pages 508-520, December.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Xiaofang Dong & Siqi Zheng & Matthew E. Kahn, 2018. "The Role of Transportation Speed in Facilitating High Skilled Teamwork," NBER Working Papers 24539, National Bureau of Economic Research, Inc.

    Cited by:

    1. Yang, Xuehui & Zhang, Huirong & Lin, Shanlang & Zhang, Jiaping & Zeng, Jianlong, 2021. "Does high-speed railway promote regional innovation growth or innovation convergence?," Technology in Society, Elsevier, vol. 64(C).
    2. Adam Ploszaj & Xiaoran Yan & Katy Borner, 2018. "The impact of air transport availability on research collaboration: A case study of four universities," Papers 1811.02106, arXiv.org.
    3. Liaoliao Duan & Dongxiao Niu & Weizeng Sun & Siqi Zheng, 2021. "Transportation infrastructure and capital mobility: evidence from China’s high-speed railways," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 617-648, December.
    4. Anna Bottasso & Maurizio Conti & Simone Robbiano & Marta Santagata, 2022. "Roads to innovation: Evidence from Italy," Journal of Regional Science, Wiley Blackwell, vol. 62(4), pages 981-1005, September.
    5. Christopher Esposito, 2021. "The Geography of Breakthrough Innovation in the United States over the 20th Century," Papers in Evolutionary Economic Geography (PEEG) 2126, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2021.
    6. Hu, Yefei & Liu, Dayong, 2022. "Government as a non-financial participant in innovation: How standardization led by government promotes regional innovation performance in China," Technovation, Elsevier, vol. 114(C).
    7. Zhang, Fangni & Yang, Zhiwei & Jiao, Jingjuan & Liu, Wei & Wu, Wenjie, 2020. "The effects of high-speed rail development on regional equity in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 180-202.
    8. Han, Bing & Han, Lu & Zhou, Zhengyi, 2020. "Housing Market and Entrepreneurship: Micro Evidence from China," MPRA Paper 102597, University Library of Munich, Germany, revised 17 Aug 2020.
    9. Gao, Yanyan & Zheng, Jianghuai, 2020. "The impact of high-speed rail on innovation: An empirical test of the companion innovation hypothesis of transportation improvement with China’s manufacturing firms," World Development, Elsevier, vol. 127(C).
    10. Haitao Ma & Yingcheng Li & Xiaodong Huang, 2021. "Proximity and the evolving knowledge polycentricity of megalopolitan science: Evidence from China’s Guangdong-Hong Kong-Macao Greater Bay Area, 1990–2016," Urban Studies, Urban Studies Journal Limited, vol. 58(12), pages 2405-2423, September.
    11. Yu Chen & Yuandi Wang & Shan Chen, 2021. "Are Chinese Executives Rewarded or Penalized by the Operation of High-Speed Railways?," Sustainability, MDPI, vol. 13(21), pages 1-14, October.
    12. Qunyang Du & Hangdong Yu & Cheng Yan & Tianle Yang, 2020. "Does High-Speed Rail Network Access Enhance Cities’ Innovation Performance?," Sustainability, MDPI, vol. 12(19), pages 1-13, October.
    13. Stuart S. Rosenthal & William C. Strange, 2020. "How Close Is Close? The Spatial Reach of Agglomeration Economies," Journal of Economic Perspectives, American Economic Association, vol. 34(3), pages 27-49, Summer.
    14. Dong, Xiaofang, 2018. "High-speed railway and urban sectoral employment in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 603-621.
    15. Fan, Ying, 2023. "Collaborative integration, workplace flexibility and scholarly productivity: Evidence from the COVID-19 outbreak," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 1-15.

  2. Dong, Xiaofang & Fu, Shihe & Yuan, Yufei, 2012. "Impact fees and real estate prices: evidence from 35 Chinese cities," MPRA Paper 48047, University Library of Munich, Germany.

    Cited by:

    1. Ng, Eric C.Y., 2015. "Housing market dynamics in China: Findings from an estimated DSGE model," Journal of Housing Economics, Elsevier, vol. 29(C), pages 26-40.

  3. Stephen L. Ross & Xiaofang Dong, 2012. "Understanding the Internal Structure of Self-Organizing Cities," Working papers 2012-34, University of Connecticut, Department of Economics.

    Cited by:

    1. Kantor, Yuval & Rietveld, Piet & van Ommeren, Jos, 2014. "Towards a general theory of mixed zones: The role of congestion," Journal of Urban Economics, Elsevier, vol. 83(C), pages 50-58.

  4. Fu, Shihe & Dong, Xiaofang & Chai, Guojun, 2008. "Industry specialization, diversification, churning, and unemployment in Chinese cities," MPRA Paper 15339, University Library of Munich, Germany.

    Cited by:

    1. Randall Jackson, 2015. "Are Industry Clusters and Diversity Strange Bedfellows?," The Review of Regional Studies, Southern Regional Science Association, vol. 45(2), pages 113-129, Fall.
    2. Ouyang, Puman & Fu, Shihe, 2012. "Economic growth, local industrial development and inter-regional spillovers from foreign direct investment: Evidence from China," China Economic Review, Elsevier, vol. 23(2), pages 445-460.
    3. Watson, Philip & Deller, Steven, 2017. "Economic diversity, unemployment and the Great Recession," The Quarterly Review of Economics and Finance, Elsevier, vol. 64(C), pages 1-11.
    4. Wang, Xiaoyu & Sun, Yanlin & Peng, Bin, 2023. "Industrial linkage and clustered regional business cycles in China," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 59-72.
    5. Liu, Yang, 2013. "Labor market matching and unemployment in urban China," China Economic Review, Elsevier, vol. 24(C), pages 108-128.
    6. Marina Malkina, 2019. "How Change in Industry Mix Can Improve the Financial Performance of Regional Economies: Evidence from the Portfolio Approach," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 67(6), pages 1561-1575.
    7. Marina Yurievna Malkina, 2018. "Instability of Financial Return of Regional Economies and Its Determinants," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 3, pages 88-114.
    8. Randall Jackson, 2015. "Fellows Address: Are Industry Clusters and Diversity Strange Bedfellows?," Working Papers Working Paper 2015-04, Regional Research Institute, West Virginia University.

Articles

  1. Xiaofang Dong & Stephen L. Ross, 2015. "Accuracy and efficiency in simulating equilibrium land-use patterns for self-organizing cities," Journal of Economic Geography, Oxford University Press, vol. 15(4), pages 707-722.

    Cited by:

    1. Satyajit Chatterjee & Burcu Eyigungor, 2017. "A Tractable City Model For Aggregative Analysis," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(1), pages 127-155, February.
    2. Berliant, Marcus & Tabuchi, Takatoshi, 2015. "Equilibrium Commuting," MPRA Paper 67689, University Library of Munich, Germany.
    3. Zhang, Wenjia & Kockelman, Kara M., 2016. "Optimal policies in cities with congestion and agglomeration externalities: Congestion tolls, labor subsidies, and place-based strategies," Journal of Urban Economics, Elsevier, vol. 95(C), pages 64-86.
    4. Pan, Haozhi & Deal, Brian & Chen, Yan & Hewings, Geoffrey, 2018. "A Reassessment of urban structure and land-use patterns: distance to CBD or network-based? — Evidence from Chicago," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 215-228.
    5. Mossay, Pascal & Picard, Pierre M. & Tabuchi, Takatoshi, 2020. "Urban structures with forward and backward linkages," LIDAM Reprints CORE 3125, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Brinkman, Jeffrey C., 2016. "Congestion, agglomeration, and the structure of cities," Journal of Urban Economics, Elsevier, vol. 94(C), pages 13-31.

  2. Xiaofang Dong & Shihe Fu & Yufei Yuan, 2013. "Impact Fees and Real Estate Prices: Evidence from 35 Chinese Cities," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 8(2), pages 207-219, June.
    See citations under working paper version above.
  3. FU, Shihe & DONG, Xiaofang & CHAI, Guojun, 2010. "Industry specialization, diversification, churning, and unemployment in Chinese cities," China Economic Review, Elsevier, vol. 21(4), pages 508-520, December.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-URE: Urban and Real Estate Economics (2) 2012-10-27 2018-05-21
  2. NEP-CNA: China (1) 2018-05-21
  3. NEP-GEO: Economic Geography (1) 2012-10-27
  4. NEP-LAB: Labour Economics (1) 2018-05-21
  5. NEP-TRE: Transport Economics (1) 2018-05-21

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