Patterns of Rural Development: A Cross‐Country Comparison using Microeconomic Data

Winters, Paul; Essam, Timothy; Zezza, Alberto; Davis, Benjamin; Carletto, Calogero

doi:10.1111/j.1477-9552.2010.00265.x

Cited by 34 publications

(38 citation statements)

References 22 publications

(33 reference statements)

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“…Literature points out that these mutations can be explained by the willingness of rural households to respond to the opportunities of liberalizing agricultural markets (Delgado and Siamwalla, 1997) or face the risk of subsistence (Losch et al, 2011;Winters et al, 2010). These changes have important effects on the well-being and poverty reduction in rural households (Blocks and Webb, 2001).…”

Section: Introductionmentioning

confidence: 99%

Determining factors of the strategies for diversifying sources of income for rural households in Burkina Faso

Combary¹

2015

J. Dev. Agric. Econ.

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This article has used a multinomial logit model to analyze the determinants of diversification strategies of rural households' income sources in Burkina Faso. The main results have enabled the identification of three strategies of the income-source diversification, all carried out around agriculture. They are low, average, high diversification strategies. The outcomes reveal that the age of the household head, household size, dependency ratio, acreage, membership of a producer group, amount of credit, agricultural potential of the area, morbidity, distance to a main road, access to a radio, total income and technical assistance were the key factors in determining the level of income diversification. They indicate that the diversification of income sources is both a strategy for managing risk of fluctuations in agricultural income and a means to take advantage of opportunities in the production environment, given the constraints of rural households.

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Section: Introductionmentioning

confidence: 99%

Determining factors of the strategies for diversifying sources of income for rural households in Burkina Faso

Combary¹

2015

J. Dev. Agric. Econ.

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“…Recent studies in Sub-Saharan Africa (SSA) indicate that rural households are increasingly diversifying their income sources by combining farm and non-farm activities to sustain their livelihoods [4,5,6,7,8]. That asset, activity and income diversification characterize the livelihood strategies of rural households in rural Africa [9].…”

Section: Introductionmentioning

confidence: 99%

Rural Farm Households’ Income Diversification: The Case of Wolaita Zone, Southern Ethiopia

Gecho¹

2017

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Abstract:Despite the economic dominance of agriculture in the study area, farm households widely practice diverse income generating activities as livelihood strategies to overcome diverse challenges and risks. The existing capacity of agriculture to attain food and livelihood security is tremendously declining from time to time. The main aim of this study was to identify the determinants of farmers' participation in income diversification in the study area. The study involved primary data which were collected from randomly selected 300 households in four districts of the zone. For selection of study units probability proportional to the size was applied and respondents were selected through systematic sampling technique. In addition, key informant interview and focus group discussion were used to supplement the survey with qualitative information. Secondary data were also collected from various relevant sources. Descriptive statistics were applied to characterize the sample households' social, economic, demographic and institutional factors. The findings of the study indicates that rural households in the study area practice diversified income sources, in that about 57.7% of the households combine agriculture with other activities (non/off-farm). Some farmers were pursuing non-farm and off-farm activities as the primary income sources rather than agriculture. Considering the wealth status, the poor households derive almost half (50%) of their income from nonagricultural activities whereas the latter accounts for only 6.4% of the income of the better-off households'. Binary logit model was applied to investigate factors influencing the households' participation in income diversification. In this regard, out of total explanatory variables included in the model, 8 were significant. The results confirm that factors such as sex, farm size, livestock ownership, oxen ownership, education, leadership, annual cash income and market distance were key determinants of farmers' participation in income diversification. Further, the study identifies income diversification as a cumulative effects of several factors, and therefore urges policy makers to give due attention to them with a view to overcoming the challenging bottlenecks.

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“…Similar to the FLM, the FMLM is estimated by using a quasi-maximum likelihood method, which includes robust standard errors (Buis, 2008). There have been a growing number of studies applying the FMLM to handle models containing a set of fractional response variables with shares that add up to one (Kala, Kurukulasuriya and Mendelsohn, 2012;Winters et al, 2010).…”

Section: Specification O F Econometric Modelsmentioning

confidence: 99%

Farmland loss, nonfarm diversification and inequality among households in Hanoi's peri-urban areas, Vietnam

Tuyến¹,

Lim²,

Cameron³

et al. 2014

International Development Planning Review

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Patterns of Rural Development: A Cross‐Country Comparison using Microeconomic Data

Cited by 34 publications

References 22 publications

Determining factors of the strategies for diversifying sources of income for rural households in Burkina Faso

Determining factors of the strategies for diversifying sources of income for rural households in Burkina Faso

Rural Farm Households’ Income Diversification: The Case of Wolaita Zone, Southern Ethiopia

Farmland loss, nonfarm diversification and inequality among households in Hanoi's peri-urban areas, Vietnam

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