Details
| Original language | English |
|---|---|
| Pages (from-to) | 703-718 |
| Number of pages | 16 |
| Journal | Food Security |
| Volume | 11 |
| Issue number | 3 |
| Early online date | 18 May 2019 |
| Publication status | Published - 15 Jun 2019 |
Abstract
Nonfarm employment has been increasingly important in improving food security of rural households in the developing world. In this paper, we (1) determine the factors explaining the participation in nonfarm employment and nonfarm income of rural households by employing a two-part random effects econometric model, and (2) examine the effects of nonfarm employment on rural household food security indicators by combining the propensity score matching with the difference-in-differences approach. We used a panel dataset of 561 households in 30 villages of Stung Treng province in Cambodia collected in 2013 and 2014. Our sample was divided into two groups, households with nonfarm employment, and households without nonfarm employment. Our findings show that (1) nonfarm employment contributed about 32% to total annual household income for the whole sample and 57% for the households with nonfarm employment; (2) participation in nonfarm employment and nonfarm income were significantly influenced by the education level of household heads, numbers of motorbikes and mobile phones, conditions of roads to the villages, farmland size, number of income shocks, and the distance from home to the nearest market; (3) there was no significant difference in terms of food availability between households with and households without nonfarm employment but the former have improved food access, utilization, and stability. We suggest that promoting rural education, improving road conditions, and empowering rural households to cope with income shocks would contribute to developing nonfarm employment and consequently improve food security of rural households.
Keywords
- Cambodia, Difference-in-differences, Impact assessment, Nonfarm employment, Propensity score matching, Two-part random effects model
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Food Science
- Social Sciences(all)
- Development
- Agricultural and Biological Sciences(all)
- Agronomy and Crop Science
Sustainable Development Goals
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In: Food Security, Vol. 11, No. 3, 15.06.2019, p. 703-718.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Nonfarm employment and household food security
T2 - evidence from panel data for rural Cambodia
AU - Do, Truong Lam
AU - Nguyen, Trung Thanh
AU - Grote, Ulrike
N1 - Funding information: We thank the farmers in Stung Treng for their support and cooperation. Support from the Cambodia Development Resource Institute (CDRI) and our colleagues at the Leibniz University Hannover for data collection is highly appreciated. This paper is based on two discussion papers highlighting some first descriptive results of the survey in Cambodia (B?hler et al. 2015 ; Sharma et al. 2016). We would also like to thank the editor and the reviewers for their constructive comments, which have improved the article.
PY - 2019/6/15
Y1 - 2019/6/15
N2 - Nonfarm employment has been increasingly important in improving food security of rural households in the developing world. In this paper, we (1) determine the factors explaining the participation in nonfarm employment and nonfarm income of rural households by employing a two-part random effects econometric model, and (2) examine the effects of nonfarm employment on rural household food security indicators by combining the propensity score matching with the difference-in-differences approach. We used a panel dataset of 561 households in 30 villages of Stung Treng province in Cambodia collected in 2013 and 2014. Our sample was divided into two groups, households with nonfarm employment, and households without nonfarm employment. Our findings show that (1) nonfarm employment contributed about 32% to total annual household income for the whole sample and 57% for the households with nonfarm employment; (2) participation in nonfarm employment and nonfarm income were significantly influenced by the education level of household heads, numbers of motorbikes and mobile phones, conditions of roads to the villages, farmland size, number of income shocks, and the distance from home to the nearest market; (3) there was no significant difference in terms of food availability between households with and households without nonfarm employment but the former have improved food access, utilization, and stability. We suggest that promoting rural education, improving road conditions, and empowering rural households to cope with income shocks would contribute to developing nonfarm employment and consequently improve food security of rural households.
AB - Nonfarm employment has been increasingly important in improving food security of rural households in the developing world. In this paper, we (1) determine the factors explaining the participation in nonfarm employment and nonfarm income of rural households by employing a two-part random effects econometric model, and (2) examine the effects of nonfarm employment on rural household food security indicators by combining the propensity score matching with the difference-in-differences approach. We used a panel dataset of 561 households in 30 villages of Stung Treng province in Cambodia collected in 2013 and 2014. Our sample was divided into two groups, households with nonfarm employment, and households without nonfarm employment. Our findings show that (1) nonfarm employment contributed about 32% to total annual household income for the whole sample and 57% for the households with nonfarm employment; (2) participation in nonfarm employment and nonfarm income were significantly influenced by the education level of household heads, numbers of motorbikes and mobile phones, conditions of roads to the villages, farmland size, number of income shocks, and the distance from home to the nearest market; (3) there was no significant difference in terms of food availability between households with and households without nonfarm employment but the former have improved food access, utilization, and stability. We suggest that promoting rural education, improving road conditions, and empowering rural households to cope with income shocks would contribute to developing nonfarm employment and consequently improve food security of rural households.
KW - Cambodia
KW - Difference-in-differences
KW - Impact assessment
KW - Nonfarm employment
KW - Propensity score matching
KW - Two-part random effects model
UR - http://www.scopus.com/inward/record.url?scp=85066096216&partnerID=8YFLogxK
U2 - 10.1007/s12571-019-00929-8
DO - 10.1007/s12571-019-00929-8
M3 - Article
AN - SCOPUS:85066096216
VL - 11
SP - 703
EP - 718
JO - Food Security
JF - Food Security
SN - 1876-4517
IS - 3
ER -