Adoption of improved maize variety among farm households in the northern region of Ghana

Danso-Abbeam, Gideon; Bosiako, Joshua Antwi; Ehiakpor, Dennis Sedem; Mabe, Franklin Nantui

doi:10.1080/23322039.2017.1416896

Cited by 114 publications

(78 citation statements)

References 31 publications

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“…This may be that additional agricultural training leads to diminishing marginal returns on productivity since the farmers were already added value Years of experience also led to a loss of productivity of the value adders. This is also consistent with studies that show that older and more experience farmers are less able to exert energy and take risky decisions, with negative consequences for their productivity [59]. This is, however, different from the studies of [72], who found that years of experience improved human capital and led to increased agricultural productivity in Senegal.…”

Section: Productivity Impact Of Value Addition Across Cassava Productsupporting

confidence: 87%

“…This may be connected with the fact that ideas and practices that have been set in production practices over the years become harder to change with proficiency in the field and especially as the farmer grows older. Also, value addition may be considered risky and labour intensive, for which older and experienced farmers have been reported to shy away from such [58,59]. This, however, contrasts with the study of [60], where more experience farmers adopted improved technology.…”

Section: Productivity Impact Of Value Addition Across Cassava Productmentioning

confidence: 98%

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Value Addition and Productivity Differentials in the Nigerian Cassava System

Adeyemo

Okoruwa

2018

Sustainability

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There is an increasing need to improve value addition in order to get maximum utility from agricultural systems. Using a retrospective panel data from 482 cassava farmers covering the years 2015–2017, this study examined the effect of value addition on productivity of farmers in the cassava system in Nigeria. We analysed a non-parametric Data Envelopment Analysis to examine productivity across cassava production systems over the three year period. We also examined the impact of value addition on productivity using an endogenous switching regression to account for unobservables that determine the decision to add value and productivity of the farmers. The study found that cost and revenue outlays increased with value addition. Cassava farmers in general operated below the efficiency frontier, with total productivity declining over the 2015–2017 period. However, higher value addition farmers had better efficiency and non-reducing productivity in the periods studied. We found evidence of selection bias in the decision to add value and productivity of the farmers. The conditional and unconditional outcome estimates revealed positive gains in productivity with value addition, confirming the hypothesis that value addition increases farming households’ productivity. We recommend that essential services such as extension services, agricultural training, and ease of enterprise registration that drive agricultural value addition be made available to farmers.

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Section: Productivity Impact Of Value Addition Across Cassava Productsupporting

confidence: 87%

Section: Productivity Impact Of Value Addition Across Cassava Productmentioning

confidence: 98%

Value Addition and Productivity Differentials in the Nigerian Cassava System

Adeyemo

Okoruwa

2018

Sustainability

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“…The positive impact of cooperative oilseed growers' federations on expanding soybean cultivation by supplying critical inputs is shown in several studies; this is especially the case in Madhya Pradesh (Birthal et al 2010). Several previous studies have confirmed that this factor helps farmers to more quickly make decisions to replace existing technologies with newer ones (Matuschke andQaim 2008 Fischer andDanso-Abbeam et al 2017;Ainembabazi et al 2017).…”

Section: Soybean Farm Households and Varietal Adoptionmentioning

confidence: 85%

“…Until recently, with a few exceptions (Otieno et al 2011), the toolkit in the adoption literature was limited to a binary choice model for finding pathways for adoption (Polson and Spencer 1991;Adesina and Baidu-Forson 1995;Ojiako, Manyong, Ikpi 2007;Adesina et al 2000), and a tobit model to determine intensity of adoption (Adesina and Zinnah 1993;Nkonya, Schroeder, Norman 1997;Awotide, Karimov, Diagne 2016;Ojiako, Manyong, Ikpi 2007;Asfaw et al 2011;Ojiako, Udensi, Tarawali 2015;Danso-Abbeam et al 2017). A few scholars decomposed the effects of adoption and intensity of use in the tobit framework (see, for example, Adesina and Baidu-Forson 1995).…”

Section: Move Towards Dynamics Of Adoptionmentioning

confidence: 99%

“…Univariate choice modeling has been questioned in recent studies, as the adoption decision of a farmer is inherently multivariate given that she considers a bundle of technologies rather than just one; therefore, in order to obtain unbiased and efficient results, there is a need to capture the potential correlation among the unobserved disturbances in the adoption equations (Otieno et al 2011;Kassie et al 2013;Timu et al 2014;Danso-Abbeam et al 2017; Nguyen-Van, Poiraud, To-The 2017). Recent methodological innovations that have come with the rise of treatment effects literature include the effort to control for endogeneity in adoption studies by controlling for "non-exposure bias"; non-exposure bias causes an underestimation of adoption as target populations include individuals subject to various types of exposure.…”

Section: Move Towards Dynamics Of Adoptionmentioning

confidence: 99%

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

Nuthalapati¹,

Sonkar

Kumar

2020

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in 1975, provides evidence-based policy solutions to sustainably end hunger and malnutrition and reduce poverty. The Institute conducts research, communicates results, optimizes partnerships, and builds capacity to ensure sustainable food production, promote healthy food systems, improve markets and trade, transform agriculture, build resilience, and strengthen institutions and governance. Gender is considered in all of the institute's work. IFPRI collaborates with partners around the world, including development implementers, public institutions, the private sector, and farmers' organizations, to ensure that local, national, regional, and global food policies are based on evidence. IFPRI is a member of the CGIAR Consortium.

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Adoption of improved soybean and gender differential productivity and revenue impacts: Evidence from Nigeria

Kamara

Oyinbo

Manda

et al. 2022

Food and Energy Security

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Despite the considerable soybean varietal improvement and dissemination efforts in Nigeria and other parts of Sub-Saharan Africa, empirical evidence on farm-level yield and revenue impacts of improved soybean varieties (ISVs) from a gender perspective are limited. In this paper, we analyze the impact of the adoption of ISVs on soybean yield and net revenue, and the associated gender differential effects in northern Nigeria. We use the endogenous and exogenous switching treatment effects regression frameworks to estimate the impacts. We find that the adoption of ISVs significantly increased soybean yield and net revenue of the soybean-producing households by 26% and 32%, respectively. In addition, we find that the gender gap in yield between male and female-headed soybean-producing households was small, with a yield gap of about 1%. However, we find a substantial gender gap in soybean net revenue, as the net revenue of female-headed households was lower by about 20%, as compared to male-headed households.Overall, our findings show that policymakers and their development partners can leverage varietal improvement to boost the yields of both male-and femaleheaded households. However, closing the gender gap in crop income necessitates reducing the disparity in market linkages so that the female farmers can equally have better market access.

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Adoption of improved maize variety among farm households in the northern region of Ghana

Cited by 114 publications

References 31 publications

Value Addition and Productivity Differentials in the Nigerian Cassava System

Value Addition and Productivity Differentials in the Nigerian Cassava System

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

Adoption of improved soybean and gender differential productivity and revenue impacts: Evidence from Nigeria

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