Arbeitspapier
Land Markets and Labor Productivity: Empirical Evidence from China
This study investigates the impact of the land rental market (LRM) on labor productivity in rural China. Particular attention is given to farm and non-farm labor productivity. Using 2012 household-level data and a multinomial endogenous switching treatment regression (MESTR) technique, we find that rural households renting-in farmland increased labor productivity in the farm sector by about 55%, while labor productivity in the non-farm sector decreased by about 6%. We also find that rural households renting-out farmland had lower labor productivity in both the farm and non-farm sectors by 13% and 9%, respectively. More family labor transferred from the farm to the non-farm sector after renting-out land.
- Language
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Englisch
- Bibliographic citation
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Series: IZA Discussion Papers ; No. 16575
- Classification
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Wirtschaft
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
Time Allocation and Labor Supply
Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
Agricultural Policy; Food Policy
- Subject
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land rental market
labor productivity
farm sector
non-farm sector
- Event
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Geistige Schöpfung
- (who)
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Zhang, Jian
Mishra, Ashok K.
Zhu, Peixin
- Event
-
Veröffentlichung
- (who)
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Institute of Labor Economics (IZA)
- (where)
-
Bonn
- (when)
-
2023
- Handle
- Last update
-
10.03.2025, 11:43 AM CET
Data provider
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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Zhang, Jian
- Mishra, Ashok K.
- Zhu, Peixin
- Institute of Labor Economics (IZA)
Time of origin
- 2023
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