Institutional dynamics and access to non‐farm employment in rural China, 1950–1996
Bibliographic Data
| ID | 20437267 |
|---|---|
| Authors | Bingdao Zheng (0000-0002-9682-6100, School of International Relations and Public Affairs Fudan University Shanghai China), Yanfeng Gu (0000-0001-7942-4145, Institute for Advanced Study in Social Sciences Fudan University Shanghai China, corresponding author) |
| Year | 2022 |
| Volume | 62 |
| Issue | 3 |
| Pages | 265-289 |
| Publication date | 2022-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Australian Economic History Review (JOURNAL) |
| Journal identifiers | ISSN: 0004-8992 • E-ISSN: 1467-8446 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/aehr.12252 |
| OpenAlex | W4302283346 |
| Language | EN |
| Citations received | 2 |
| References cited | 44 |
This article examines non‐farm employment in the context of Chinese rural institutional change, based on evidence from discrete‐time logistic models for event history analysis using the Life History and Social Change survey. We find the transition to non‐farm sector rose rapidly during the Great Leap Forward and market reform, while the Cultural Revolution saw it reach the lowest ebb. While male advantage prevailed exclusively during the Cultural Revolution and early marketization, education possessed a stable positive effect in all historical periods. Although the returns to different kinds of political capital vary along with institutional dynamics, intergenerational reproduction was greatly reduced after the Cultural Revolution
Capital (architecture) · China · Context (archaeology) · Cultural revolution · Demographic economics · Economic growth · Economics · Geography · Institutional change · Marketization · Political science · Politics · Reproduction · Social capital · Social reproduction · Social science · Sociology · China's Socioeconomic Reforms and Governance · Demographic Trends and Gender Preferences · Rural development and sustainability
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| Unique citing works | 2 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2023 - 2024 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |