Nothing Special   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/f/pdu554.html
   My authors  Follow this author

Yige Duan

Personal Details

First Name:Yige
Middle Name:
Last Name:Duan
Suffix:
RePEc Short-ID:pdu554
[This author has chosen not to make the email address public]
http://sites.google.com/view/yige-duan/home

Affiliation

Vancouver School of Economics
University of British Columbia

Vancouver, Canada
http://www.economics.ubc.ca/
RePEc:edi:deubcca (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Duan, Yige & Jost, Oskar & Jost, Ramona, 2022. "Beyond Lost Earnings: The Long-Term Impact of Job Displacement on Workers’ Commuting Behavior," IAB-Discussion Paper 202215, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

Articles

  1. Junhong Chu & Yige Duan & Xianling Yang & Li Wang, 2021. "The Last Mile Matters: Impact of Dockless Bike Sharing on Subway Housing Price Premium," Management Science, INFORMS, vol. 67(1), pages 297-316, January.

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. Duan, Yige & Jost, Oskar & Jost, Ramona, 2022. "Beyond Lost Earnings: The Long-Term Impact of Job Displacement on Workers’ Commuting Behavior," IAB-Discussion Paper 202215, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    Cited by:

    1. Oskar Jost & Holger Seibert, 2022. "Homeoffice spart ein Zehntel Treibstoff ein [Home Office Saves a Tenth of Fuel]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 102(7), pages 540-544, July.

Articles

  1. Junhong Chu & Yige Duan & Xianling Yang & Li Wang, 2021. "The Last Mile Matters: Impact of Dockless Bike Sharing on Subway Housing Price Premium," Management Science, INFORMS, vol. 67(1), pages 297-316, January.

    Cited by:

    1. Liu, Xize & Chen, Wendong & Chen, Xuewu & Chen, Jingxu & Cheng, Long, 2023. "Analyzing sustainable competitiveness of inter-city coach from the impact of high-speed railway opening in Jiangsu Province, China," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    2. Pradeep K. Chintagunta & Junhong Chu, 2021. "Geography as branding: Descriptive evidence from Taobao," Quantitative Marketing and Economics (QME), Springer, vol. 19(1), pages 53-92, March.
    3. Zhan, Zilin & Guo, Yuanyuan & Noland, Robert B. & He, Sylvia Y. & Wang, Yacan, 2023. "Analysis of links between dockless bikeshare and metro trips in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    4. Huang, Sen & Liu, Kanglin & Zhang, Zhi-Hai, 2023. "Column-and-constraint-generation-based approach to a robust reverse logistic network design for bike sharing," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 90-118.
    5. Shr, Yau-Huo (Jimmy) & Yang, Feng-An & Chen, Yi-Syun, 2023. "The housing market impacts of bicycle-sharing systems," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    6. Zhao, Chunkai & Wang, Yuhang & Ge, Zhenyu, 2023. "Is digital finance environmentally friendly in China? Evidence from shared-bike trips," Transport Policy, Elsevier, vol. 138(C), pages 129-143.
    7. Guangyu Cao & Ginger Zhe Jin & Xi Weng & Li‐An Zhou, 2021. "Market‐expanding or Market‐stealing? Competition with network effects in bike‐sharing," RAND Journal of Economics, RAND Corporation, vol. 52(4), pages 778-814, December.
    8. Dong, Zhongpeng & Fan, Zhi-Ping & Wang, Ningning, 2023. "An analysis of pricing strategy for bike-sharing services: The role of the inconvenience cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    9. Li, Yang & Sun, Hao & Sun, Panfei & Hou, Dongshuang, 2023. "Inhibit violations in business-to-peer product sharing via heterogeneous punishment, firm decisions and subsidies," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1173-1187.
    10. Guoying Deng & Xuyuan Zhang, 2024. "Platform-Mediated Consolidation and Offline Store Expansion: Evidence from Real Estate Brokerages in Major Chinese Cities," Papers 2409.04326, arXiv.org.
    11. Dai Yao & Chuang Tang & Junhong Chu, 2023. "A Dynamic Model of Owner Acceptance in Peer-to-Peer Sharing Markets," Marketing Science, INFORMS, vol. 42(1), pages 166-188, January.
    12. Yilin Bi & Jiangwei Liu & Zhuang Liu & Suhao Wei, 2024. "Impact of New Energy Vehicle Charging Point Subsidy Policy on Subway Demand: Evidence from Beijing’s Real Estate Market," Sustainability, MDPI, vol. 16(9), pages 1-18, May.
    13. Sangwan Lee, 2022. "An In-Depth Understanding of the Residential Property Value Premium of a Bikesharing Service in Portland, Oregon," Land, MDPI, vol. 11(9), pages 1-16, August.
    14. Lan, Hao & Moreira, Fernando & Zhao, Sheng, 2023. "Can a house resale restriction policy curb speculation? Evidence from a quasi-natural experiment in China," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 841-859.
    15. Hai Long Duong & Junhong Chu & Dai Yao, 2023. "Taxi Drivers’ Response to Cancellations and No-Shows: New Evidence for Reference-Dependent Preferences," Management Science, INFORMS, vol. 69(1), pages 179-199, January.
    16. He, Xiaozhou & Wang, Qingyi, 2023. "A location-routing model for free-floating shared bike collection considering manual gathering and truck transportation," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    17. Yakubu Suleiman & Adeyemi Ajayi & Sule Abass & Ogunbajo Rukaiyyat, 2020. "The Relationship Between Road Infrastructure Budgetary Expenditures and Commercial Property Investment Returns. Case Study of Fadikpe Area Minna, Nigeria," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 8(1), pages 187-196, January.
    18. Guo, Yuhan & Li, Jinning & Xiao, Linfan & Allaoui, Hamid & Choudhary, Alok & Zhang, Lufang, 2024. "Efficient inventory routing for Bike-Sharing Systems: A combinatorial reinforcement learning framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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-GEO: Economic Geography (2) 2022-07-18 2022-09-12. Author is listed
  2. NEP-LAB: Labour Economics (2) 2022-07-18 2022-09-12. Author is listed
  3. NEP-URE: Urban and Real Estate Economics (2) 2022-07-18 2022-09-12. Author is listed
  4. NEP-DEM: Demographic Economics (1) 2022-07-18. Author is listed
  5. NEP-EUR: Microeconomic European Issues (1) 2022-09-12. Author is listed

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Yige Duan should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.