The poverty impacts of improved cowpea varieties in Nigeria: A counterfactual analysis

Abstract

Highlights We examine the impact of improved cowpea adoption on poverty in Nigeria. We use a unique and recent nationally representative survey data. Adoption leads to an increase in household income and asset ownership. Poverty reduces with the adoption of improved cowpea varieties.

Demand and supply side factors for accelerating varietal turnover: An evidence from soybean in India

“…Even when old models like multinomial logit are used, studies attempt to control for endogeneity (Nguyen-Van, Poiraud, To-The 2017; Larsen 2019). Recent studies incorporate technology adoption in single-step impact evaluation models using Heckman models (Ouma and De Groote 2011; Awotide, Karimov, Diagne 2016) and switching regressions (Khonje et al 2015;Shiferaw et al 2014;Manda et al 2019).…”

“…The education level of farmers in MP is lower, with 34 percent of households having no formal schooling. Education can enhance the ability to decipher information for the adoption of modern and improved technology (Besley and Case 1993;Katare et al 2013); studies showed that, in Nigeria, those with at least six years of education were more likely to switch over to new improved varieties of cowpea (Manda et al 2019). The average soybean farmer is a smallholder owning only 4.28 acres of land, but the size of the average landholding differs significantly in these two states.…”

“…Existing literature does not address impediments to the adoption of new technologies in soybean production despite soybeans being crucial to the augmentation of protein in the diets of vegetarians around the world; this is the case even though large number of studies examine adoption patterns related to various other crops, such as rice (Awotide, Karimov, Diagne 2016;Ghimire, Wen-chi, Shrestha 2015), wheat (Shiferaw et al 2011;Krishna, Spielman, Veettil 2016;Nazli and Smale 2016), maize (Griliches, 1957(Griliches, , 1960Nkonya, Schroeder, Norman 1997;Hintze, Renkow, Sain 2003;Becerril and Abdulai 2010;Ouma and De Groote 2011;Suri 2011;Khonje et al 2015), sorghum (Timu et al 2014), pearl millet (Matuschke and Qaim 2008), cassava (Ojiako, Udensi, Tarawali 2015), pigeonpeas (Otieno et al 2011;, cowpeas (Manda et al 2019), chickpeas (Shiyani et al 2002;Ojiako , Manyong, Ikpi 2007;Asfaw et al 2011;Michler et al 2019), common beans (Katungi et al 2011;Abebe and Bekele 2015), potatoes (Mpogole and Kadigi 2012;Abebe et al 2013), and bananas (Larsen 2019). We found only one study that analyzed drivers of adoption of new varieties of soybean, that by Ojiako, Manyong, and Ikpi (2007) in Nigeria.…”

“…Non-convexities arising from a variety of factors hamper switching to alternative technologies (Damania et al 2016). Historically, shifting to new improved varieties has played a role in increasing yields by 50 to 90 percent in various crops and has proved to be a solution to low farm incomes (Besley and Case 1993;WB 2007;Bruins 2009; Walker and Awang 2015); it has also been found to be crucial to increasing household consumption and asset ownership and reducing poverty (Asfaw et al 2012a(Asfaw et al , 2012bManda et al 2019). Against this background, this paper focuses on the determinants of the speed of switching to new improved varieties from existing improved varieties.…”

Agronomic Potential and Genetic Diversity of Landraces of Cowpea of the State of Ceará

“…is a crop that plays an important role in human and animal nutrition in several countries (CHEN et al, 2017a), constituting an important food source for populations in Latin America, Asia and Africa (CHEN et al, 2017b;TAN et al, 2012). The species Fabaceae, with protein content in grains ranging from 22 to 30% (MANDA et al, 2019;WENG et al, 2019), is traditionally cultivated in semi-arid regions, such as the Brazilian northeast (ANATALA et al, 2014) due to its high plasticity, especially to conditions with low water availability (RUSINAMHODZI et al, 2012).…”