Evaluating the distributional impacts of drought-tolerant maize varieties on productivity and welfare outcomes: an instrumental variable quantile treatment effects approach

Olagunju, Kehinde Oluseyi; Ogunniyi, Adebayo; Awotide, Bola Amoke; Adenuga, Adewale Henry; Ashagidigbi, Waheed Mobolaji

doi:10.1080/17565529.2019.1701401

Cited by 28 publications

(28 citation statements)

References 38 publications

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“…Imperatively, the higher the number of years of schooling, the lowers the probability that a household head, either headed by male or female, will be exposed to food insecurity. This conforms to other studies (Babatunde et al 2010;Adeyemo and Olajide 2013;Adamu et al 2015;Olagunju et al 2019;Omotayo 2017). These studies suggested that education attainment decreases food insecurity headcount.…”

Section: Determinants Of Food Security Among Householdssupporting

confidence: 93%

Socio-economic Drivers of Food Security among Rural Households in Nigeria: Evidence from Smallholder Maize Farmers

et al. 2021

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Issues relating to food availability, accessibility/affordability, and food utilization remain paramount among different stakeholders such as policymakers and academics. Using data from 250 maize farming households in Nigeria, the study used Foster–Greer–Thorbecke and probit regression model to investigate the factors determining households food security. The food insecurity measure shows that 23.2% points of the households express the incidence of food insecurity while 5.5% points and 1.8% points were found to have depth and severity of food insecurity, respectively. After controlling for households’ socio-economic and demographic characteristics, the probit regression model suggested that, among others, value of output sold, education, credit access and participation in government safety nets program significantly influenced food security among the maize farmers in the study area. Based on our findings, effort should be intensified to enhance the productivity of land through improved production practices. There should be high-level awareness that will increase farmers’ participation in safety net programs. Thus, government at all levels (local, state, and federal) should have adequate budget allocation to this course in order to improve the livelihood outcomes of the farming households.

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Section: Determinants Of Food Security Among Householdssupporting

confidence: 93%

Socio-economic Drivers of Food Security among Rural Households in Nigeria: Evidence from Smallholder Maize Farmers

et al. 2021

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“…The results show that the probability of being a cooperative member increased significantly with the size of households. Rural farm households with large size do have a ready supply of labour for planting and other farming practices that could facilitate expansion, thereby necessitating farmers to join cooperatives for easy access to inputs such as seeds, fertilisers, and chemicals [ 46 ]. Ceteris peri bus , households with higher levels of education have 1.1% probability of participating in agricultural cooperatives.…”

Section: Resultsmentioning

confidence: 99%

“…Seed input contributed the least and insignificant to maize output for both members and non-members. This is likely to be attributed to the fact that adoption rates of improved maize varieties among smallholder farmers in rural Nigeria are still low [ 28 , 46 ]. The dummy variables representing soil quality and irrigation both have a positive and significant impacts on the value of maize output, suggesting the relevance of soil nutrients and irrigation technology in enhancing the value of maize output.…”

Section: Resultsmentioning

confidence: 99%

“…The DEA approach is also quite sensitive to outliers and this may affect the precision of results negatively. Given that agricultural production process is affected by unpredictable climatic factors such as changes in precipitation patterns, drought, and flood [ 46 , 47 ], it is expedient to adopt a parametric approach. On this basis, in line with Abdul-Rahaman and Abdulai [ 18 ] and Adebayo et al [ 43 ], we adopt the SPF model to achieve the objective of this study.…”

Section: Conceptual Framework and Estimation Strategymentioning

confidence: 99%

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Does agricultural cooperative membership impact technical efficiency of maize production in Nigeria: An analysis correcting for biases from observed and unobserved attributes

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The formation of agricultural cooperatives has been widely promoted as an agricultural development policy initiative to help smallholder farmers cope with multiple production and marketing challenges. Using a nationally representative survey dataset of smallholder maize producers from rural Nigeria, this study assesses the impact of agricultural cooperative membership on technical efficiency (TE). We based our estimation approach on the combination of a newly developed sample selection stochastic production frontier model with propensity score matching to control for possible selectivity biases from both observables and unobservables. We estimate stochastic meta-frontiers to examine TE differences between cooperative members and non-members. Our results reveal that TE levels of members are consistently higher than that of non-members. This calls for continued policy incentives targeted at encouraging farmers to form as well as participate in agricultural cooperatives.

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“…On the basis that the dependent variables g i and r i are binary, it is appropriate to fit a binary regression, such as a Probit regression, to determine the recycling behaviour and payment for waste disposal. Studies such as Olagunju, et al [ 49 ], Ogunniyi, et al [ 50 ], Oyetunde-Usman and Olagunju [ 51 ] and [ 52 ], which had a binary dependent variable, used a Probit regression model. However, given that Equations (5) and (6) both have binary dependent variables, the errors of the two models are likely going to be correlated, hence the choice of the Bivariate Probit model, which is stated thus:

where

, φ, π, ω and α are the estimated parameters.…”

Section: Analytical Framework and Estimation Strategymentioning

confidence: 99%

What Drives Households’ Payment for Waste Disposal and Recycling Behaviours? Empirical Evidence from South Africa’s General Household Survey

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Omotoso²,

Daud³

et al. 2020

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Safeguarding the environment and its citizens’ health remains one of the key policy priorities of the governments of many developing and emerging countries. Using the 2017 General Household Survey (GHS) dataset, this study examines the driving factors affecting households’ recycling behaviour and payment for waste disposal in South Africa. The methods of data analysis were based on descriptive statistics and a Bivariate Probit regression model. The descriptive statistics results indicate that there are 56.29% male-headed and 43.71% female headed households, with an average age of 49 years. In addition, the study shows that 89.97% of household heads had formal education with a mean monthly income of 11,099.07 ZAR/650.504 USD. The study also revealed that 22% of the households sampled had access to social grants. The results from the Bivariate Probit regression model show that household’s income, access to social grants, formal educational attainment and the age of the household were significant (p < 0.01) driving factors affecting households’ recycling behaviour and payment for waste disposal. The study concludes that the households’ socio-economic factors affect their recycling behaviour and willingness to pay for waste management in South Africa. Actions targeted at poverty alleviation and environmental sensitization programmes are key for facilitating environmental conservation behaviours of households in South Africa in order to achieve the environmental sustainability Sustainable Development Goal (SDG) target of the United Nations.

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Evaluating the distributional impacts of drought-tolerant maize varieties on productivity and welfare outcomes: an instrumental variable quantile treatment effects approach

Cited by 28 publications

References 38 publications

Socio-economic Drivers of Food Security among Rural Households in Nigeria: Evidence from Smallholder Maize Farmers

Socio-economic Drivers of Food Security among Rural Households in Nigeria: Evidence from Smallholder Maize Farmers

Does agricultural cooperative membership impact technical efficiency of maize production in Nigeria: An analysis correcting for biases from observed and unobserved attributes

What Drives Households’ Payment for Waste Disposal and Recycling Behaviours? Empirical Evidence from South Africa’s General Household Survey

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