Project/Area Number |
21K01455
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 07040:Economic policy-related
|
Research Institution | Chuo University (2023) Miyazaki International College (2021-2022) |
Principal Investigator |
VU MANH TIEN 中央大学, 国際経営学部, 准教授 (80734045)
|
Project Period (FY) |
2021-04-01 – 2024-03-31
|
Project Status |
Completed (Fiscal Year 2023)
|
Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2023: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2022: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2021: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
Keywords | Gender inequality / Human capital / Education / Place-based policy / Confucianism / Returns to education / Corruption / Vietnam / Health / Labor / Income / Migration / Enterprise zone / Historical legacy / Imperial examination / Tes scores / Cognitive skills / Favoritism / Firms / Industrial zones / Heat / Test performance / Private partnership / Inequality / Economic Development / Culture Norm / Social Interaction |
Outline of Research at the Start |
The research project examines why cultural norms are persistent or change. The findings would provide insights into why (gender) inequality/favoritism is persistent and corresponding policy implications.
|
Outline of Final Research Achievements |
The project is to examine why preferences and culture norms that shape inequality (favoritism, discrimination) are persistent or change. I examine the inequality in the mid- and long term, and in historical perspective. The outcomes of the project have 6 components corresponding with my 6 published papers (Vu, 2023; Vu and Yamada, 2023a, 2023b, 2023c, 2024; Yamada and Vu, 2024).
|
Academic Significance and Societal Importance of the Research Achievements |
The research project quantifies the effects of some cultural factors on present-day economic outcomes using some causal inference methods.
|