How much is too much: Does the size of income support transfers affect labor supply?

Prifti, Ervin; Estruch, Elisenda; Daidone, Silvio; Davis, Benjamin

doi:10.1016/j.jpolmod.2018.08.005

Cited by 5 publications

(5 citation statements)

References 13 publications

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“…Similarly, they find no pooled effect on time allocation after investing the transfer in an enterprise. Indeed, the unconditional Human Development Grant in Ecuador reduced the propensity of transitioning to formal wage labor (Bosch and Schady, 2019), and a UCT program in Zambia increased labor supply on the own farm while reducing agricultural wage labor (Ervin et al, 2017;Prifti et al, 2019). Without the inclusion of a UCT comparison group in an (experimental) evaluation, it is difficult to assess to what extent empirically observed labor supply responses in a CCT program reflect distortions due to the conditionality, rather than generic behavioral responses to the cash component of the program.…”

Section: Gendered Conditionsmentioning

confidence: 99%

Encouragement and distortionary effects of conditional cash transfers

Bryan,

Chowdhury,

Mobarak

et al. 2023

Journal of Public Economics

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Section: Gendered Conditionsmentioning

confidence: 99%

Encouragement and distortionary effects of conditional cash transfers

Bryan,

Chowdhury,

Mobarak

et al. 2023

Journal of Public Economics

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“…On the other hand, Prifti et al (2018) found that cash transfer gave incentives to Zambians workers to switch the job preference from working at others' farms to working at their own farms. Angeles et al (2019) found that unconditional cash transfer (UCT) provision would lead to the recovery of the mental health of young people in Malawi.…”

Section: Literature Reviewmentioning

confidence: 99%

Can Energy Consumption and Benefit Programs Explain One’s Living Standards Afterwards? Evidence From Northern Sulawesi, Indonesia

Tasik

2020

IJEEP

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The Indonesian government has been serious in alleviating poverty in Indonesia through the implementation of public benefit programs including alterations in energy subsidy program. Generally, the poverty rate has finally reached a single digit. On the other hand, the human development index as one indicator of living standard has not shown improvement as fast as the improvement in the poverty rate. A question remains. After all benefit programs are in effect, are the living standards of people improving? This study relies on a survey covering 315 respondents residing in North Sulawesi Province, Indonesia. Ordinary least square and ordered logistics models are used to analyze the survey data. The findings suggest that spending on electricity reduces the ability to meet daily needs but not necessarily makes lives better or worse. BPJS health insurance holders tend to have a lower rate of better living after benefit programs take place as compared to non-holders. Additionally, being the holder does not statistically affect the ability to meet daily needs. Having good academic ranks in high school is associated with having better lives. In contrast, having these ranks tend to reduce the ability to meet daily needs.

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“…Regarding this context in Section 3.2, we find that the employment structure of rural labor gradually transitions from being primarily agriculture-based to off-farm employment step by step, and now it is in the phase of transitioning from being agriculture-based to including both agriculture and non-agriculture, indicating a change from an agricultural society to an industrial society, which is an important reason for the short-term and round-trip transfer of rural labor in China today. In particular, transferred farmers have not completely abandoned agriculture, but its scale will gradually decrease with the expansion of transfer [3,20]. This relationship can be understood in two aspects; first, rural households must transfer to non-agriculture due to less originally owned arable land; and second, rural households are unable to continue farming their original farmland because of a large number of transferred laborers and have to rent or give farmland to others.…”

Section: Microempirical Analysis Of Rural Labor Transfermentioning

confidence: 99%

“…If workers' income is less than or not significantly greater than their original incomes, then their transfer behavior is pointless [23]. Therefore, if the existing employment opportunities and income levels in rural areas or townships can meet their income expectations in the townships, the proportion and willingness of rural laborers' transfer will be reduced [3]. The survey data indicate that 42.86% of the total rural laborers and 81.00% of surveyed households select non-agriculture employment.…”

Section: Regionality Of Rural Labor Transfermentioning

confidence: 99%

“…These two processes almost always accompany each other and occur at the same time. However, the rural labor force prefers employment transfer first and then moves to urban areas, where it has abundant employment opportunities in secondary and tertiary industries because of the spatial imbalance of employment [3]. Further, urbanization, industrial, and agricultural development affect the size and speed of rural labor transfers and urban absorption capacity regarding rural surplus labor [4,5].…”

Section: Introductionmentioning

confidence: 99%

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The Features of Rural Labor Transfer and Cultural Differences: Evidence from China’s Southwest Mountainous Areas

et al. 2019

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Large-scale rural labor transfer is considered an important means of promoting urbanization and poverty alleviation; however, it has been difficult to fully reveal the complexity of mountain labor transfer using traditional theory. In this study, macrostatistics and microsurvey data were employed to conduct an empirical analysis of rural labor transfer in Xichang, highlighting the regional features of rural labor transfer in the southwest mountainous areas of China. The results show that the employment structure of rural labor is dominated by agriculture; however, its proportion is decreasing annually. The development of secondary and tertiary industries significantly contributes to the non-agricultural employment of rural laborers, who transfer mainly to the building, industry, and consumption fields—especially consumption, which has the greatest ability to absorb surplus rural labor. Migration of the population and farmers’ per capita net income promotes rural labor transfer, while the amount of rural labor, the urbanization rate in townships, agricultural development, and the topography have lagged effects on the process. This study argues that rural labor transfer in the mountains has regionality, multi-pattern, and gradient features; therefore, the promotion of rural labor transfer should consider local urbanization and poverty alleviation in such a manner that aligns with the local natural and socioeconomic conditions of the mountainous areas.

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How much is too much: Does the size of income support transfers affect labor supply?

Cited by 5 publications

References 13 publications

Encouragement and distortionary effects of conditional cash transfers

Encouragement and distortionary effects of conditional cash transfers

Can Energy Consumption and Benefit Programs Explain One’s Living Standards Afterwards? Evidence From Northern Sulawesi, Indonesia

The Features of Rural Labor Transfer and Cultural Differences: Evidence from China’s Southwest Mountainous Areas

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