scholarly journals Impact of a Contract Farming Scheme on Income, Food Security, and Nutrition among Maize Farmers in North Western, Nigeria

2021 ◽  
Author(s):  
Ibrahim Hussaini Yusuf ◽  
Garba Sakinatu Umar ◽  
Wahab Munir Jamiu
Keyword(s):  
Food Security ◽  
Simple Random Sampling ◽  
Study Data ◽  
Average Treatment Effect ◽  
Contract Farming ◽  
Maize Production ◽  
Average Treatment ◽  
Total Labor ◽  
Food Security And Nutrition ◽  
The Impact

Background: The study examined the impact of a contract farming scheme on the farmers’ income, food security, and nutrition. Methods: Simple random sampling was used to select 100 respondents for the study. Data were analyzed using descriptive and inferential statistics as well the Propensity Score Matching technique. Results: The major determinants of participation in contract farming included commercialization index, distance from the collection center, and total labor available in the household. The average treatment effect on the treated, the average effect of the treatment, and the average treatment on the untreated shows that contract farming will enhance the income from Maize production by ₦50234.8 ($131.79)/hectare, ₦37170.8 ($97.53)/hectare, and ₦28809.8 ($75.59)/hectare respectively. Conclusion: Contract farming participation can affect farming households negatively if food security concerns are not considered into the contract farming agreements.

scholarly journals Impact of Participation in Contract Farming on Smallholder Farmers’ Income and Food Security in Rural Benin: PSM and LATE Parameter Combined

2020 ◽  
Vol 12 (3) ◽  
pp. 901 ◽  
Author(s):  
Odountan Ambaliou Olounlade ◽  
Gu-Cheng Li ◽  
Sènakpon E. Haroll Kokoye ◽  
François Vihôdé Dossouhoui ◽  
Kuassi Auxence Aristide Akpa ◽  
...  
Keyword(s):  
Food Security ◽  
Food Consumption ◽  
Large Scale ◽  
Smallholder Farmers ◽  
Average Treatment Effect ◽  
Farm Income ◽  
Security Level ◽  
Negative Consequences ◽  
Contract Farming ◽  
The Impact

Investigated in this work is the impact of contract farming participation on smallholder farmers’ income and food security in rice crop production in Northern Benin using 400 randomly selected rice farmer households. Unlike previous studies, we corrected for both observed and unobserved biases by combining propensity score matching (PSM) and the local average treatment effect parameter (LATE). The results showed significant negative consequences of partaking in rice contract farming. We found evidence of significant negative effects on rice production income at a 1% level. The more the rice farmers join in contract farming, the lower the farm income became. Decreased food consumption was also a result of contract farming participation for potential participants by a score of 60.64, placing their households at the food security status level of poor food consumption because the quantity and nutritional quality of the food consumed were inadequate. Contract farming is, therefore, not a reasonable policy instrument that can help farmers increase their income and improve their food security level in the Alibori Department, Benin if farmers do not diversify their crops. The necessary resources and economic environment are not yet in place to allow contract farming to take full advantage of its potential benefits. To prevent the wasting of scarce public resources, expanding contract farming would not be appropriate in marginal areas with markets and other infrastructure. Additional measures are needed for contract farming to be profitable for contracting actors and to ensure sustainability and the large-scale participation of farmers.

scholarly journals Adoption of Conservation Practices: Its Impact on Input Use and Performance in the Northern Region of Ghana

2018 ◽  
Vol 11 (5) ◽  
pp. 149
Author(s):  
Mavis Boimah ◽  
Akwasi Mensah-Bonsu ◽  
Yaw Osei-Asare ◽  
Daniel B. Sarpong
Keyword(s):  
Treatment Effect ◽  
Environmental Sustainability ◽  
Technical Assistance ◽  
Negative Impact ◽  
Maize Yield ◽  
Average Treatment Effect ◽  
Inorganic Fertilizer ◽  
Switching Regression ◽  
Average Treatment ◽  
The Impact

Conservation Agriculture (CA) is promoted worldwide on the basis of its contribution to economic, social, and environmental sustainability of agricultural production. In Ghana, despite the increasing interest in the promotion of CA and its practices, its rate of adoption is still low, mainly due to the conflicting evidences regarding its effectiveness. This paper contributes to the numerous debates by examining the impact of CA practices on hired labour, rates of inorganic fertilizers applied by adopters, maize yield, and profit of adopters. Using a cross-sectional data, a multinomial endogenous switching regression (MESR) model was employed to compute the Average Treatment Effect (ATE) and Average Treatment Effect on Treated (ATET) for yield, hired labour, inorganic fertilizer rate, and profit of adopters of CA practices. The study reveals that CA practices impact positively on hired labour employed on the farm, but have a negative impact on profits of adopters. No impact whatsoever of adoption of CA practices is observed on maize yield and also inorganic fertilizer application rates. Technical assistance, and training of farmers on strategies that minimize costs of production must be intensified to raise profits of adopters.

Mediation analysis of the impact of the Zimbabwe Harmonized Social Cash Transfer Programme on food security and nutrition

Food Policy ◽  
2022 ◽  
Vol 106 ◽  
pp. 102190
Author(s):  
Noemi Pace ◽  
Ashwini Sebastian ◽  
Silvio Daidone ◽  
Ervin Prifti ◽  
Benjamin Davis
Keyword(s):  
Food Security ◽  
Mediation Analysis ◽  
Cash Transfer ◽  
Food Security And Nutrition ◽  
The Impact

Propensity score specification for optimal estimation of average treatment effect with binary response

2020 ◽  
Vol 29 (12) ◽  
pp. 3623-3640
Author(s):  
John A Craycroft ◽  
Jiapeng Huang ◽  
Maiying Kong
Keyword(s):  
Propensity Score ◽  
Treatment Effect ◽  
Propensity Scores ◽  
Optimal Estimation ◽  
Theoretical Explanation ◽  
Average Treatment Effect ◽  
Adaptive Lasso ◽  
Confounding Bias ◽  
Average Treatment ◽  
The Impact

Propensity score methods are commonly used in statistical analyses of observational data to reduce the impact of confounding bias in estimations of average treatment effect. While the propensity score is defined as the conditional probability of a subject being in the treatment group given that subject’s covariates, the most precise estimation of average treatment effect results from specifying the propensity score as a function of true confounders and predictors only. This property has been demonstrated via simulation in multiple prior research articles. However, we have seen no theoretical explanation as to why this should be so. This paper provides that theoretical proof. Furthermore, this paper presents a method for performing the necessary variable selection by means of elastic net regression, and then estimating the propensity scores so as to obtain optimal estimates of average treatment effect. The proposed method is compared against two other recently introduced methods, outcome-adaptive lasso and covariate balancing propensity score. Extensive simulation analyses are employed to determine the circumstances under which each method appears most effective. We applied the proposed methods to examine the effect of pre-cardiac surgery coagulation indicator on mortality based on a linked dataset from a retrospective review of 1390 patient medical records at Jewish Hospital (Louisville, KY) with the Society of Thoracic Surgeons database.

scholarly journals Too Many Treats or Not Enough to Eat? The Impact of Custodial Grandparents on Food Security and Nutrition

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 350-350
Author(s):  
Danielle Nadorff ◽  
Rahel Mathews
Keyword(s):  
Food Security ◽  
Weight Status ◽  
Eating Behaviors ◽  
Ecological Model ◽  
Deficient Diet ◽  
Multigenerational Households ◽  
Age Related ◽  
The Us ◽  
Food Security And Nutrition ◽  
The Impact

Abstract In the US, 28.5% of seniors are obese, with a BMI of 30 plus. The prevalence of obesity for children is also an alarming 17%, making it one of the primary public health burdens. According to the socio-ecological model, a child’s weight status can be influenced by factors related to parenting style, family, and the community. The literature reflects a significant emphasis focusing on children and their parents. However, according to the US Census, 7.5 million grandchildren are living with their grandparents, with about 1/3 of these residing in skipped-generation households. There are essential age-related differences in food preparation and eating behaviors between middle-aged and older grandparents and younger adult parents that may influence their children’s eating behaviors. Grandparents may provide a positive feeding environment, including role-modeling healthy food intake, teaching children about nutrition, and involving them in mealtimes and cooking, monitoring and encouraging children to eat nutritious foods, especially vegetables and regularly serving vegetables. However, grandparents have also reported providing energy-dense and nutrient-poor food and drinks and used food as a reward or gift. The current study aims to investigate the influence of caregiver type (grandparents only, parents only, or multigenerational households) on children’s nutrition, food security, and BMI. One-way ANCOVAs controlling for SES found that grandparent-headed households had children with more deficient diet and higher BMIs, but also less food insecurity. These results indicate that age-related changes in caregiver type are an important predictor of children’s nutritional health. Details and clinical implications will be discussed.

Impact of the production of underutilized vegetables on the livelihood of farmers in Southwestern Nigeria

2017 ◽  
Vol 44 (12) ◽  
pp. 1669-1682
Author(s):  
Oluwatosin Adejoke Oyedele ◽  
Kemisola O. Adenegan
Keyword(s):  
Treatment Effect ◽  
Nutritive Value ◽  
Average Treatment Effect ◽  
Current Status ◽  
Special Focus ◽  
Vegetable Production ◽  
Southwestern Nigeria ◽  
Content Type ◽  
Average Treatment ◽  
The Impact

Purpose African indigenous vegetables have high nutritive value which contains high levels of minerals. The current status of indigenous vegetable production in developing countries shows that these crops are “under-recognized” and “underutilized” with respect to nutritional value and opportunities for food security. The purpose of this paper is to examine the impact of the production of underutilized vegetables on the livelihood of farmers in South Western Nigeria. Design/methodology/approach The population for the study includes all the vegetable farmers in South Western Nigeria with a special focus on farmers’ groups formed by the NICANVEG project in Osun, Oyo, Ondo and Ekiti states. Descriptive statistics and propensity score matching (PSM) was used to analyze the objective. Findings Perceptions on individual household income reveal that the majority of participating respondents perceived higher production and harvesting density. This is due to the fact that harvesting is done by cutting the stems of the vegetables. The probability score shows that the dependent variables have an average effect of 44.6 percent on the probability of farmers participating in NICANVEG project. The PSM results reveal that average treatment effect on the treated is ₦269,254.87. Average treatment on the untreated is ₦11,990.63 while average treatment effect is ₦139,336.43. The total income of the participants from all the various livelihood strategies is increased by 29.73 percent because of their participation in the NICANVEG project. Originality/value This work has not been carried out by any other person before. This work will add to the existing knowledge on the impact of evaluation in agricultural economics.

Does contract farming improve rice farmers' food security? Empirical evidence from Ghana

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Reuben Jagri Binpori ◽  
Dadson Awunyo-Vitor ◽  
Camillus Abawiera Wongnaa
Keyword(s):  
Food Security ◽  
Market Access ◽  
Positive Impact ◽  
Smallholder Farmers ◽  
Contract Farming ◽  
Data Set ◽  
Content Type ◽  
Rice Farmers ◽  
Food Security Status ◽  
The Impact

PurposeIn order to improve access to resources for smallholder farmers, efforts are being made to promote contract farming in Ghana. This is seen as a strategy to increase agricultural productivity of farmers, give better market access and guarantee adequate supply of raw materials to agro-based industries. However, the challenge is whether contract farming leads to improvement in food security status of farmers. The study therefore seeks to explore to what extent farmers' food security status is influenced by their participation in contract farming activities.Design/methodology/approachUsing Cragg's double-hurdle model to analyse participation in contract farming, the authors control for selection bias using propensity score matching applied to a data set of 336 observations to examine the impact of contract farming on the food security levels of rice farmers in Ghana.FindingsThe results of this study show that yield of paddy and the wealth of the farmer are the main factors that influence the quantity of paddy rice to be contracted in contract farming arrangements. This study also finds that participation in contract farming will increase food security by 109%. In conclusion, contract farming has a significant positive impact on the farmers' food security status.Originality/valueAgricultural policies and rural development initiatives supporting the promotion and expansion of contract farming should be pursued to persuade more farmers to produce under contract farming agreements.

scholarly journals The impact of climate smart agriculture on household welfare in smallholder integrated crop–livestock farming systems: evidence from Zimbabwe

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Angeline Mujeyi ◽  
Maxwell Mudhara ◽  
Munyaradzi Mutenje
Keyword(s):  
Food Security ◽  
Treatment Effects ◽  
Positive Impact ◽  
Arable Land ◽  
Household Head ◽  
Full Potential ◽  
Average Treatment ◽  
Average Treatment Effects ◽  
Smart Agriculture ◽  
The Impact

Abstract Background Agriculture contributes significantly to the welfare of smallholder farmers, but it has become highly susceptible to climate change, due to its reliance on the increasingly erratic rainfall patterns. Climate Smart Agriculture (CSA) offers important opportunities for enhancing food security and incomes through increased agriculture productivity. Technology evaluation through impact studies provides information on the effect of CSA on farmer welfare, thereby highlighting its potential in optimizing agriculture productivity. This paper analyses the impact of CSA adoption on food security and income of households, using cross-sectional survey data collected from 386 households across four districts in Zimbabwe. The analysis was done using the endogenous switching regression model which controls for selection bias and unobserved heterogeneity, a commonly used method in adoption impact analysis. Results The study found several agricultural and socio-economic factors which affect adoption and food security. The econometric results show that the status of soil fertility in fields, distance to input and output markets, ownership of communication assets, and Total Livestock Units (TLU) have a significant impact on the decision of farmers to adopt CSA. The Average Treatment Effects on the Treated (ATT) and Average Treatment Effects on the Untreated (ATU) were found to be positive and significant for adopters and non-adopters, indicating that CSA adoption has had a significantly positive impact on the welfare of the farmers. An analysis of the outcomes revealed that the characteristics of farmers and farms, as well as market factors, significantly affect the welfare of households. The household income, with reference to the adoption of CSA, was significantly affected by factors such as the education of household head, labour size, TLU, and asset index. Food security was influenced by factors such as the education of household head, TLU, access to sanitation, and arable land size. Conclusions The study concludes by giving policy recommendations centred on the access to inputs, sanitation, and encouraging investing in assets and TLU. The findings indicate that the adoption of CSA has a positive impact on the welfare of farmers. To exploit the full potential of these technologies, the study suggests that access to timely weather forecasts must be ensured, that sanitation must be promoted, and that incentives must be provided for agricultural input agro-dealers to decentralize to rural areas.

scholarly journals Impact of policies, strategies and agricultural institutions on food security and poverty status of vegetable farmers along the blue nile banks, Gezira State, Sudan (2017)

2021 ◽  
Vol 12 (8) ◽  
pp. 2217-2280
Author(s):  
Mohamed O. A. Bushara
Keyword(s):  
Food Security ◽  
Gini Coefficient ◽  
Poverty Line ◽  
The State ◽  
Total Income ◽  
Policy Makers ◽  
Blue Nile ◽  
Poverty Status ◽  
Food Security And Nutrition ◽  
The Impact

Having clear picture on food security status and its major determinants helps policy makers and planners to introduce new policies that enhance food security. The study was aimed to evaluate the impact of policies, strategies and institution on food security and poverty status of the vegetables farmers in Gezira State with reference to the Blue Nile farmers. To achieve these objectives stratified random sampling technique was used to select the respondents from five localities lays along Blue Nile, so 150 farming households were interviewed. Food security Policy and strategy were collected by the mean of questionnaire targeting key line institutions. Poverty indices were calculated using expenditure as welfare indicator,Gini coefficient was applied. The results showed that the majority 75% of the respondents were above expenditure poverty line (7196)SDG. Moreover, the results showed that the poverty gap index was equal to five percent. Kamlin, Medani, East Gezira reported the higher expenditure distance from the poverty line (6 percent). The severity of poverty in the state is estimated to be two percent, likewise the severity of poverty in East Gezira was found to have a higher percentage (three percent). According to Gini coefficient the income distribution estimated at 0.46 while that for expenditure distribution is estimated at 0.31, these results showed a higher degree of inequality. The results showed that the poorest 20% of the population earned 0.06% of the total income while the richest 20% earned 45% of the total income. About 50.7% from the respondents use borrowing from others as one of their coping strategies.  About 78%of policy makers said that there was organized team from all institutions dealing with food security and nutrition issue, all policy makers in the state said there was strategy concerning the food security and nutrition issues. The study recommended that the cash transfer needed to lift the poor out of poverty that each poor person needs five percent of the value of the poverty line.

scholarly journals A Text-As-Data Approach for Using Open-Ended Responses as Manipulation Checks

2020 ◽  
Author(s):  
Jeffrey Ziegler
Keyword(s):  
Treatment Effect ◽  
Average Treatment Effect ◽  
Continuous Measure ◽  
Causal Inferences ◽  
Online Surveys ◽  
Manipulation Check ◽  
Potential Variation ◽  
Average Treatment ◽  
The Impact

Participants that complete online surveys and experiments may be inattentive, which can hinder researchers’ ability to draw substantive or causal inferences. As such, many practitioners include multiple factual or informational closed-ended manipulation checks to identify low-attention respondents. However, closed-ended manipulation checks are either correct or incorrect, which allows participants to more easily guess and it reduces the potential variation in attention between respondents. In response to these shortcomings, I develop an automatic and standardized methodology to measure attention that relies on the text that respondents provide in an open-ended manipulation check. There are multiple benefits to this approach. First, it provides a continuous measure of attention, which allows for greater variation between respondents. Second, it reduces the reliance on subjective, paid humans to analyze open-ended responses. Last, I outline how to diagnose the impact of inattentive workers on the overall results, including how to assess the average treatment effect of those respondents that likely received the treatment. I provide easy-to-use software in R to implement these suggestions for open-ended manipulation checks.

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