Spillovers from off-farm self-employment opportunities in rural Niger

Dedehouanou, Sènakpon Fidèle Ange; Araar, Abdelkrim; Ousseini, Aichatou; Harouna, Abdoulaziz Laouali; Jabir, Maimounata

doi:10.1016/j.worlddev.2017.12.005

Cited by 64 publications

(32 citation statements)

References 52 publications

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“…Similarly for food expenditure, but for the NNM method which is also positive but insignificant, ATTs of 0.133 and 0.134 for radii of 0.1 and 0.5, respectively, were obtained based on RM. These findings are similar to Owusu et al (2010);Jabo et al (2014a); Dedehouanou et al (2015);and Osarfo et al (2016).…”

Section: Impact Of Fnd On Household Income and Food Expendituresupporting

confidence: 91%

“…Among these studies, the impact on household food security, agricultural expenditure, and well-being are the most notable (see inter alia, Owusu et al, 2010;Jabo et al, 2014;Jabo et al, 2014;Shehu & Siddique, 2014;Dedehouanou et al, 2015;Osarfo et al, 2016). Most of these studies employed econometric techniques which account for selection bias.…”

mentioning

confidence: 99%

“…Most of these studies employed econometric techniques which account for selection bias. While Owusu et al (2010); Jabo et al (2014a); Jabo et al (2014b); Shehu and Siddique (2014), and Osarfo et al (2016) employed propensity score matching (PSM) technique, Dedehouanou et al (2015) utilized endogenous switching regression (ESR) approach. Although the PSM method is relatively widely used in the literature, it does not account for selection bias due to unobservable characterristics of the household.…”

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confidence: 99%

“…Nonetheless, both methods are known in the literature to yield consistent results. In general, based on the average treatment effect on treated (ATT), which is employed to estimate the participation effect, participation in nonfarm activities by rural farm households is revealed in the literature to positively and significantly impact rural households' food security, agricultural expenditure, and well-being (Owusu et al, 2010;Jabo et al, 2014a;Jabo et al, 2014b;Dedehouanou et al, 2015;Osarfo et al, 2016). Resultantly, development policies in developing countries are geared towards promoting activity diversification among rural households.…”

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confidence: 99%

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Urban Farm-Nonfarm Diversification, Household Income and Food Expenditure in Ghana

Ampaw

Nketiah‐Amponsah

Senadza

2017

Studies in Business and Economics

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Abstract:This paper investigates the impact of farm-nonfarm diversification (FND) on household income and food expenditure in urban Ghana using propensity score matching (PSM) technique to account for potential selection bias. We find diversified households to be statistically different from undiversified households in terms of household characteristics. Age, gender, educational attainment of the household head, household size, ownership of livestock and agricultural land, and receipt of miscellaneous and rent incomes are positive and significant determinants of FND in urban Ghana. In addition, we find that participation in both farm and nonfarm activities positively and significantly impacts household income and food expenditure. In the light of growing urbanization, with its implications for unemployment, poverty and food insecurity, we recommend diversification among urban households as a means of smoothing income and consumption.

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Section: Impact Of Fnd On Household Income and Food Expendituresupporting

confidence: 91%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Urban Farm-Nonfarm Diversification, Household Income and Food Expenditure in Ghana

Ampaw

Nketiah‐Amponsah

Senadza

2017

Studies in Business and Economics

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“…According to Haggblade et al (2010) and Rijkers and Costa (2012), rural nonfarm participation accounts for between 40 and 50 percent of total household income in Africa. Empirical evidence shows that households in developing countries participating in nonfarm enterprise activities are more food secure (Owusu et al, 2010;Jabo et al, 2014;Dedehouanou et al, 2015;Osarfo et al, 2016), have higher agriculture investments (Dedehouanou et al, 2015), expend more on food ( Jabo et al, 2014) and have reduced poverty and improved welfare ( Jabo et al 2014;Kousar and Abdulai, 2013;Senadza, 2011). Yet, household health expenditure is found to be positively affected by household income (Parker and Wong, 1997;Rous and Hotchkiss, 2003;You and Kobayashi, 2011;Yildirim et al, 2011;and da Silva et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Nonfarm enterprise participation and healthcare expenditure among farm households in rural Ghana

Ampaw

Nketiah‐Amponsah

Owoo

et al. 2019

IJSE

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Purpose -Rural poverty remains high in many developing countries, Ghana inclusive. This has implications for healthcare affordability and utilization, and thus the attainment of universal health coverage. Nonfarm diversification is seen as a means by which rural farm households can increase incomes and smooth consumption including healthcare. The purpose of this paper is to investigate the impact of nonfarm enterprise participation on healthcare expenditure among farm households in rural Ghana. Design/methodology/approach -Using nationally representative household data from the sixth round of the Ghana Living Standards Survey (GLSS 6), the paper employs endogenous switching regression and propensity score matching techniques to account for potential selectivity bias. Findings -Results indicate that households that participate in nonfarm enterprises earn higher incomes and expend more on healthcare. Total household income and region of residence are significant determinants of healthcare expenditure among farm households in rural Ghana. In addition, while in nonfarm enterprise nonparticipating households the marital status of the head of household is important, for participating households the head having at least secondary education significantly influences healthcare expenditure. Practical implications -Promoting nonfarm activities and hence raising the incomes of households in rural areas of Ghana has the potential of increasing health capital through increased investments in health. It will also positively impact access to and utilization of healthcare and ultimately contribute towards increased farm and non-farm productivity. Originality/value -Previous studies have only examined the determinants of nonfarm enterprise participation or its impact on household welfare, poverty, inequality, food security and agricultural investments. While evidence abounds on the positive impact of rural nonfarm enterprise participation on household income, which in turn has implications for household health expenditure, the potential positive link between rural nonfarm enterprise participation and household healthcare expenditure remains unexamined.

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Does connectivity reduce gender gaps in off‐farm employment? Evidence from 12 low‐ and middle‐income countries

Egger

Arslan

Zucchini

2021

Applied Eco Perspectives Pol

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Gender gaps in labor force participation in developing countries persist despite income growth or structural change. We assess this persistence across economic geographies within countries, focusing on youth employment in off‐farm wage jobs. We combine household survey data from 12 developing countries with geospatial data on population density. The gender gap increases with connectivity from rural to peri‐urban areas and disappears in high‐density urban areas. In non‐rural areas, child dependency does not constrain young women, and secondary education improves their access to off‐farm jobs. The gender gap persists for married young women independent of connectivity improvements, indicating social norm constraints.

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Spillovers from off-farm self-employment opportunities in rural Niger

Cited by 64 publications

References 52 publications

Urban Farm-Nonfarm Diversification, Household Income and Food Expenditure in Ghana

Urban Farm-Nonfarm Diversification, Household Income and Food Expenditure in Ghana

Nonfarm enterprise participation and healthcare expenditure among farm households in rural Ghana

Does connectivity reduce gender gaps in off‐farm employment? Evidence from 12 low‐ and middle‐income countries

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