Updated on 2024/01/09

写真a

 
WANG Ruiting
 
Organization
Faculty of Humanities and Social Sciences Associate Professor
Position
Associate Professor
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Degree

  • PhD ( 2021.3   Kyoto University )

Research Interests

  • 中国経済

  • 人口とマクロ経済

Education

  • Kyoto University   大学院経済学研究科  

    2018.4 - 2021.3

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  • Hokkaido University   大学院経済学研究科(中退)  

    2017.4 - 2018.3

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    Notes: 中退

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  • Hokkaido University   大学院公共政策学教育部  

    2015.4 - 2017.3

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  • University of International Business and Economics    

    2009.9 - 2013.6

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Research History

  • 西南財経大学

    2021.4 - 2023.3

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    Country:China

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  • Kyoto University of Advanced Science

    2020.4 - 2021.3

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Papers

  • Budget Management and Tax Cutting Policy Effectiveness: Evidence from Dynamic Bunching of Micro and Small Enterprises Reviewed

    120 - 139   2023.8

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    Language:Chinese   Publishing type:Research paper (scientific journal)  

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  • Anti-corruption, safety compliance and coal mine deaths: Evidence from China

    Gang Xu, Xue Wang, Ruiting Wang, Go Yano, Rong Zou

    Journal of Economic Behavior & Organization   188   458 - 488   2021.8

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    Authorship:Corresponding author   Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.jebo.2021.05.013

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  • Can child allowances improve fertility in a gender discrimination economy?

    Ruiting Wang, Gang Xu

    Economic Modelling   93   162 - 174   2020.12

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    Authorship:Lead author   Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.econmod.2020.08.002

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Presentations

  • Budget Management and Tax Cutting Policy Effectiveness: Evidence from Dynamic Bunching of Micro and Small Enterprises

    WANG Ruiting

    CUFE-KNU-OU Trilateral Economic Research Conference  2023.12.3 

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  • Quantifying the Benefits of Urban Residency Permits (Hukou) in Mega-Cities Through a Dynamic Bunching Approach

    WANG Ruiting

    2023.11.16 

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    Event date: 2023.11.23 - 2023.11.24

    Language:Japanese   Presentation type:Oral presentation (general)  

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  • Tax cut budget efficiency and bunching estimation Invited

    WANG Ruiting

    Wen Lan Finance & Taxation Forum (85th Issue)  2023.9.7 

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    Event date: 2023.9.14

    Language:Chinese   Presentation type:Oral presentation (invited, special)  

    File: 640 (2).png

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  • The Impact of Industrial Robots on Marriage and Childrearing Behavior of Young Households Invited

    WANG Ruiting

    Income Distribution and Modern Fiscal Science: Hixian Forum (42nd Issue)  2023.9.7 

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    Event date: 2023.9.14

    Language:Chinese   Presentation type:Oral presentation (invited, special)  

    File: 640.png

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  • Bargaining over Parents: Theory and Evidence in an One-child Policy Society

    WANG Ruiting

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    Event date: 2023.6.5

    Language:Japanese   Presentation type:Oral presentation (general)  

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Awards

  • The 8th China Fiscal Forum

    2022.12   The 8th China Fiscal Forum   Budget Management and Tax Cutting Policy Effectiveness: Evidence from Dynamic Bunching of Micro and Small Enterprises

    Liu Rong, Chen Lingqing, Wang Ruiting, Deng Xinghua

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Class subject in charge

  • Graduation Research Seminar (2023academic year) 1st and 2nd semester  - その他7~8

  • Graduation Research Seminar (2023academic year) 3rd and 4th semester  - その他7~8

  • Seminar (2023academic year) 1st and 2nd semester  - 木7~8

  • Seminar (2023academic year) 3rd and 4th semester  - 木7~8

  • Basic Seminar (2023academic year) Third semester  - 金7~8

  • Empirical Economic Analysis (2023academic year) Prophase  - 金3

  • Empirical Economic Analysis (2023academic year) special  - その他

  • Seminar in Empirical Economic Analysis (2023academic year) Late  - 金2

  • Seminar in Empirical Economic Analysis1 (2023academic year) special  - その他

  • Seminar in Empirical Economic Analysis2 (2023academic year) special  - その他

  • Applied Econometric Analysis (2023academic year) Prophase  - 金3

  • Seminar on Applied Econometric Analysis (2023academic year) Late  - 金2

  • Applied Econometrics (2023academic year) 3rd and 4th semester  - 金1~2

  • Introduction to Statistics (2023academic year) 1st and 2nd semester  - 火1~2

  • Introduction to Statistics (2023academic year) 3rd and 4th semester  - 木10

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