Impacts of off‐farm employment on welfare, food security and poverty: Evidence from rural Vietnam

Duong, Pham Bao; Thanh, Pham Tien; Ancev, Tihomir

doi:10.1111/ijsw.12424

Cited by 39 publications

(31 citation statements)

References 60 publications

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“…Since this study assesses the impacts of mechanization intervention using PSM, similar to other observational studies, see for example; Thanh and Duong (2022) and Duong et al . (2021), we need three sets of variables: treatment, control and outcome.…”

Section: Methodsmentioning

confidence: 98%

The contributions of scale-appropriate farm mechanization to hunger and poverty reduction: evidence from smallholder systems in Nepal

Paudel

Gartaula

Rahut

et al. 2023

JED

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PurposeThis study examines the adoption drivers of scale-appropriate mechanization in Nepal's maize-based farming systems. The authors also assess the contribution of scale-appropriate mechanization to the United Nations (UN) Sustainable Development Goals (SDGs) of zero hunger (SDG2) and no poverty (SDG1).Design/methodology/approachPropensity score matching (PSM) and doubly robust inverse probability-weighted regression adjusted (IPWRA) methods were applied to estimate the effects of mini-tiller adoption. These methods control the biases that arise from observed heterogeneities between mini-tillers users and nonusers.FindingsThe study findings show that farm size, labor shortages, draft animal scarcity, market proximity, household assets and household heads' educational level influence the adoption of mechanization in Nepal. Mechanized farms exhibited enhanced maize productivity, profits and household food self-sufficiency. Reduced depth and severity of poverty were also observed. Nevertheless, these effects were not uniform; very small farms (≤0.41 ha) facing acute labor shortages benefited the most.Research limitations/implicationsThe study results suggest that policymakers in developing nations like Nepal may wish to expand their emphasis on scale-appropriate mechanization to improve farm productivity and household food security, reduce poverty and contribute to the SDGs.Originality/valueThis first-of-its-kind study establishes the causal effects between scale-appropriate farm mechanization and SDG1 (no poverty) and SDG2 (zero hunger) in a developing nation.

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Section: Methodsmentioning

confidence: 98%

The contributions of scale-appropriate farm mechanization to hunger and poverty reduction: evidence from smallholder systems in Nepal

Paudel

Gartaula

Rahut

et al. 2023

JED

View full text Add to dashboard Cite

show abstract

“…In the study Participation in the "Modern Agro-Food Supply Chain and Happiness" in rural areas in Senegal, it was determined that income and indirect income were not effective factors [77]. On the other hand, in the rural life studies conducted in Ethiopia, Ghana, Pakistan, and Vietnam, it was determined that non-agricultural income is an effective factor in rural household life satisfaction levels, the fight against poverty, food consumption, agricultural production, and income [84][85][86][87].…”

Section: Discussion Based On the Model Resultsmentioning

confidence: 99%

Are You Happy to Be a Farmer? Understanding Indicators Related to Agricultural Production and Influencing Factors: GAP-Şanlıurfa, Turkey

et al. 2021

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Recently, agricultural production areas and farmer numbers have been decreasing in Turkey, which has started to cause concern. This study aimed to analyze the satisfaction levels of farmers in different irrigation areas in the Southeastern Anatolia Project (GAP)-Şanlıurfa region, based on indicators related to agricultural production and influencing factors. The data were obtained through face-to-face surveys with farmers in 2020 and analyzed by logistic regression in STATA. According to the results, 43.3% of the farmers are happy to be farmers in the current situation, and 35.6% want their children to continue farming activities. It was determined that the area of irrigation, education level, income, and farming experience were statistically significant at different rates in terms of the happiness of the farmers. On the other hand, livestock, number of households, and land size were not statistically significant. While 27.5% of the participants were fully satisfied with the given public support, 15.7% were satisfied with the market selling prices of their products, and 43.5% stated that effective organizations are needed to live well. To ensure agricultural sustainability in the research area, there is a need for more agricultural support, effective extension services, and the development of rural tourism with the participation of the public and private sectors. This study was the first of its kind to be conducted in Turkey.

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“…Asgedom and Kebreab, (2011) reviewed beneficial Fig. 7 Levels of diversification both on-farm and off-farm (Duong et al, 2021) management practices and GHG mitigation options to minimize climate change impacts. Planting date shifts can help to develop stress avoidance, e.g., anthesis may be timed to avoid heat stress.…”

Section: Change In Crop Management Practicesmentioning

confidence: 99%

Impact of Climate Change on Dryland Agricultural Systems: A Review of Current Status, Potentials, and Further Work Need

Ahmed

Hayat

Ahmad

et al. 2022

Int. J. Plant Prod.

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Dryland agricultural system is under threat due to climate extremes and unsustainable management. Understanding of climate change impact is important to design adaptation options for dry land agricultural systems. Thus, the present review was conducted with the objectives to identify gaps and suggest technology-based intervention that can support dry land farming under changing climate. Careful management of the available agricultural resources in the region is a current need, as it will play crucial role in the coming decades to ensure food security, reduce poverty, hunger, and malnutrition. Technology based regional collaborative interventions among Universities, Institutions, Growers, Companies etc. for water conservation, supplemental irrigation, foliar sprays, integrated nutrient management, resilient crops-based cropping systems, artificial intelligence, and precision agriculture (modeling and remote sensing) are needed to support agriculture of the region. Different process-based models have been used in different regions around the world to quantify the impacts of climate change at field, regional, and national scales to design management options for dryland cropping systems. Modeling include water and nutrient management, ideotype designing, modification in tillage practices, application of cover crops, insect, and disease management. However, diversification in the mixed and integrated crop and livestock farming system is needed to have profitable, sustainable business. The main focus in this work is to recommend different agro-adaptation measures to be part of policies for sustainable agricultural production systems in future.

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Impacts of off‐farm employment on welfare, food security and poverty: Evidence from rural Vietnam

Cited by 39 publications

References 60 publications

The contributions of scale-appropriate farm mechanization to hunger and poverty reduction: evidence from smallholder systems in Nepal

The contributions of scale-appropriate farm mechanization to hunger and poverty reduction: evidence from smallholder systems in Nepal

Are You Happy to Be a Farmer? Understanding Indicators Related to Agricultural Production and Influencing Factors: GAP-Şanlıurfa, Turkey

Impact of Climate Change on Dryland Agricultural Systems: A Review of Current Status, Potentials, and Further Work Need

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