Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 458-469 |
Seitenumfang | 12 |
Fachzeitschrift | Agricultural Economics (Czech Republic) |
Jahrgang | 69 |
Ausgabenummer | 11 |
Publikationsstatus | Veröffentlicht - 22 Nov. 2023 |
Abstract
We identify the factors affecting the participation in land accumulation of rural households by using a multinomial logit model and assess the income effects of participation in land accumulation by using the propensity score matching (PSM) method. We use household data from a rural survey in three provinces in the Red River Delta of Vietnam in 2019. Our results show that farmland accumulation is significantly correlated with age and gender of household head, as well as agricultural productive assets, non-farm income, saving and access to credit. The participation in farmland accumulation leads to an increase in total household income, although the effect is different between land increasing and land decreasing groups. We suggest enhancing access to credit and supporting non-farm activities to accelerate the accumulation of agricultural land and consequently improve household income.
ASJC Scopus Sachgebiete
- Agrar- und Biowissenschaften (insg.)
- Agrar- und Biowissenschaften (sonstige)
- Volkswirtschaftslehre, Ökonometrie und Finanzen (insg.)
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
in: Agricultural Economics (Czech Republic), Jahrgang 69, Nr. 11, 22.11.2023, S. 458-469.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Farmland accumulation and rural household income
T2 - Evidence from the Red River Delta region of Vietnam
AU - Le, Thi Long Vy
AU - Do, Truong Lam
AU - Nguyen, Huu Nhuan
AU - Nguyen, Trung Thanh
N1 - Funding Information: Supported by the Vietnam National University of Agriculture, Hanoi, Vietnam.
PY - 2023/11/22
Y1 - 2023/11/22
N2 - We identify the factors affecting the participation in land accumulation of rural households by using a multinomial logit model and assess the income effects of participation in land accumulation by using the propensity score matching (PSM) method. We use household data from a rural survey in three provinces in the Red River Delta of Vietnam in 2019. Our results show that farmland accumulation is significantly correlated with age and gender of household head, as well as agricultural productive assets, non-farm income, saving and access to credit. The participation in farmland accumulation leads to an increase in total household income, although the effect is different between land increasing and land decreasing groups. We suggest enhancing access to credit and supporting non-farm activities to accelerate the accumulation of agricultural land and consequently improve household income.
AB - We identify the factors affecting the participation in land accumulation of rural households by using a multinomial logit model and assess the income effects of participation in land accumulation by using the propensity score matching (PSM) method. We use household data from a rural survey in three provinces in the Red River Delta of Vietnam in 2019. Our results show that farmland accumulation is significantly correlated with age and gender of household head, as well as agricultural productive assets, non-farm income, saving and access to credit. The participation in farmland accumulation leads to an increase in total household income, although the effect is different between land increasing and land decreasing groups. We suggest enhancing access to credit and supporting non-farm activities to accelerate the accumulation of agricultural land and consequently improve household income.
KW - land accumulation
KW - multinomial logit model
KW - propensity score matching
UR - http://www.scopus.com/inward/record.url?scp=85182174263&partnerID=8YFLogxK
U2 - 10.17221/260/2023-AGRICECON
DO - 10.17221/260/2023-AGRICECON
M3 - Article
AN - SCOPUS:85182174263
VL - 69
SP - 458
EP - 469
JO - Agricultural Economics (Czech Republic)
JF - Agricultural Economics (Czech Republic)
SN - 0139-570X
IS - 11
ER -