2019
DOI: 10.1016/j.worlddev.2019.01.017
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Heterogeneous impact of livelihood diversification on household welfare: Cross-country evidence from Sub-Saharan Africa

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Cited by 126 publications
(111 citation statements)
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References 38 publications
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“…This motivates investigating how income diversification has changed. Asfaw et al (2019) consider both crop and income diversification for farming households in Malawi, Niger, and Zambia (data for various years between 2010 and 2015) and find that poorest households tend to benefit most from diversification. Although 'income diversification is a welfare enhancing strategy in all the three countries', crop diversification has no effect on welfare in Niger and is positive in Malawi but 'a welfare decreasing strategy in Zambia' (Asfaw et al 2019: 286).…”
Section: Diversification Of Sources Of Incomementioning
confidence: 99%
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“…This motivates investigating how income diversification has changed. Asfaw et al (2019) consider both crop and income diversification for farming households in Malawi, Niger, and Zambia (data for various years between 2010 and 2015) and find that poorest households tend to benefit most from diversification. Although 'income diversification is a welfare enhancing strategy in all the three countries', crop diversification has no effect on welfare in Niger and is positive in Malawi but 'a welfare decreasing strategy in Zambia' (Asfaw et al 2019: 286).…”
Section: Diversification Of Sources Of Incomementioning
confidence: 99%
“…One is to construct discrete indicator variables based on numbers of sources or categories of types of income (Abdulai and CroleRees 2001). An alternative is to construct a Herfindahl index measure based on earning shares of multiple sources (Asfaw et al 2019). Earnings from self-employment (farm or NAS) were recorded at the household level in all waves.…”
Section: Data and Measuring Income Diversificationmentioning
confidence: 99%
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“…Maintaining on farm crop diversity has usually been associated with risk-coping strategies (Asfaw et al, 2019, Di Falco and Chavas, 2009, Di Falco and Perrings, 2005, Lin, 2011, McCord et al, 2015); however, there is increasing recognition of other benefits as well, particularly under poorly functioning markets. These benefits include optimizing crop production under heterogeneous agro-ecological conditions in rainfed marginal areas (Benin et al, 2004, Di Falco and Chavas, 2009, Kawa et al, 2015); producing a variety of products for different uses (Keleman et al, 2013, King, 2007); providing commercial opportunities in multiple local markets (Devaux et al, 2009, McCord et al, 2015); as well as reducing vulnerability to market and climate variability (Benin et al, 2004, Lin, 2011, McCord et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Firstly, studies like [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26] were not employed the appropriate econometric model which minimizes the sample selection problem which is main task in impact evaluation. Secondly, some studies for instance [3,[4][5][6][7][8][9] tried to estimate its impact on general economic terms like poverty and welfare which are so difficult to proxy in single indicator. Thirdly, even if commercial forests (e.g.…”
Section: Introductionmentioning
confidence: 99%