9 research outputs found

    Characterizing Risk Behaviour of Maize Farmers using the Experimental Gambling Approach: An Empirical Study in Ghana

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    Along the maize value chain in Ghana are a wide range of risks that confront actors; the risk chain actors' face include production and marketing risks. Accordingly, risk management, which has become an integral part of maize value chain activities, is challenged with several factors, some of which are economic, institutional, social and behavioral factors. This study posits that risk preferences/behavior of farm decision-makers in the maize value chain have empirical importance for economic and policy analysis. Thus, an experimental gambling approach was used to elicit the risk aversion behavior of respondents (farmers). Here, the respondents' risk aversion behavior over varying game levels was investigated. The multinomial logit model was used to investigate endogenous and exogenous factors explaining the risk behavior. The data were obtained by interviewing 220 maize farmers who were sampled with a two-stage sampling procedure. This study revealed that most of the farmers in the study area exhibited risk aversion behavior. About 33% of farmers showed extreme risk aversion behavior at the games’ lowest level and increased to 45% as the game level rose. It was also found that sex, age, level of formal education, access to credit, access to the storage facility, household size, farm size and the number of extension visits to the farm significantly explained the risk aversion behavior the maize farmers exhibited. Because farmers are risk-averse and become more risk-averse as stakes become high, any farm innovations to be introduced to them must be implemented gradually, especially with the low-income farmers. It is also critical to make risk mitigation 'handles' available to farmers so that they can rely on them during times of risk

    Economic valuation of consumers’ preferences for bush yam attributes: Implications for breeding commercial crop in Ghana

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    Bush yam has been underutilized and underrated for long due to its undesirable attributes or traits, hence the commercial and food security potentials of the crop have been downgraded and unexploited. This paper, therefore, explored the Ghanaian bush yam consumers’ decisionmaking behaviour towards the crop’s cultivar selection and the values they place on its diverse attributes. With the aim of examining consumers’ preference and willingness to pay for bush yam, we designed a choice experiment which was implemented through a cross-sectional survey, involving 390 bush yam consumers in the Western-North, Eastern and Central Cocoa Regions of Ghana. We employed Conditional logit to model consumers’ preference behaviour for bush yam attributes from the choice experiment and, subsequently, computed their willingness-to-pay for each attribute, following the Lancaster consumer theory, using the ratios of specific product attributes and cost parameter. Our estimates of consumers’ preferences for bush yam attribute revealed a highly significant preference for bigger tuber size, no colour change and sweet taste attributes. Age, education, marital status, and years of consumption were found to have influenced consumers’ preferences for bush yam attributes. Furthermore, we found that bush yam consumers are willing to pay extra price value for improvement in tuber size, colour change and taste to meet their indicated preferences. We, therefore, recommend that, for breeding programmes to be more effective and sustainable towards developing a commercial cultivar, breeding institutions and policy makers should focus on the preferred attributes as indicated by consumers for a successful future commercialization of bush yam in the countr

    Regional Productivity Differential and Technology Gap In African Agriculture: A Stochastic Metafrontier Approach

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    Higher agricultural productivity in African agriculture is important for achieving the sustainable development goals of no poverty and zero hunger. However, productivity levels in African agriculture are very low and strategies for improving productivity have not produced the desired outcome. Successful productivity improvement strategies are contingent on identifying sources of productivity growth in African agriculture, and devising strategies to increasing productivity. This paper uses recent advances in the stochastic metafrontier literature to decompose efficiency into technical efficiency and technology gap. Generally, the results show an average efficiency of 71%, indicating about 29% shortfall in efficiency in African agriculture. Specifically, the results show that Central African countries are more productive compared to the other regions. The study also showed that improved agricultural technologies lead to productivity increases. The source of inefficiency is attributable to technological inefficiency rather than technical inefficiency because the empirical estimates show that almost all countries are producing close to the regional frontier. Using the bootstrap truncated regression model, factors such as agricultural research & development, trade openness and literacy were determined as having efficiency increasing effects. The study therefore recommends greater investment in agricultural research and development, and more trade openness to reduce the technology gaps and increase overall productivity of African Agricultur

    Statistical evidence and sudden infant death syndrome: Statistical evidence and sudden infant death syndrome

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    tatistical evidence is one of the prima facie tools used in the courtroom in common law jurisdictions. This paper is a case study aimed at describing the role of expert statistical evidence and how it influenced the outcome of the Sally Clark case.Sally Clark, a solicitor by profession, who was wrongly convicted and imprisoned by the Chester Crown Court in England in 1999 for the alleged murder of her two children. The prosecution’s expert witness Professor Sir Roy Meadow, a consultant paediatrician, claimed in his statistical evidence that “the probability of two sudden infant death syndrome cases (SIDS) in one family matching the profile of the appellant was 1 in 73 million.”Though upon appeal the Court of Appeal (Criminal Division) quashed the appellant’s conviction in 2003, it brought to the fore the application of statistics in the courtroom and its overall impact on the justice system. It is revealed that statistical evidence should not be used to establish the truth of an ultimate issue with scientific certainty. Expert witnesses should not adduce evidence recklessly. The use of any far-reaching statistics as evidence requires the services of experts with competence in medical statistics. The criminal justice system has a huge task of exposing true child abusers. But the socio-economic cost of wrongful conviction of accused parents of SIDS cases is immense. Tragically, Sally Clark never came to terms with her wrongful conviction and in 2007 drank herself to death

    The nexus between sustainable value chain activities and financial benefits of the soybean value chain system in the Northern Regions of Ghana

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    Soybean is an important crop that contributes to economic freedom and food security. The study of soybean value chain is therefore important to improve on the activities of the chain actors for an overall economic gains. This paper aims to examine the nexus between sustainable value chain and financial benefits of the soybean value chain system in Ghana. Specifically, we employ the triple bottom line model to examine the soybean value chain from economic, social and environmental perspectives using sample data from Ghana. With a sample size of 300 including all actors of the value chain, our findings reveal that chain actors do not differ in their perceptions of overall financial gains that accrued to them with their involvement in chain economic activities. The findings further revealed that perceived financial sustainability of chain activities was affected by tangible financial benefits. Moreover, the results further show that chain actors’ perception of social sustainability performance was significantly affected by expected overall financial gains that accrue to them as a result of their participation in chain economic activities

    The nexus between sustainable value chain activities and financial benefits of the soybean value chain system in the Northern Regions of Ghana

    No full text
    Soybean is an important crop that contributes to economic freedom and food security. The study of soybean value chain is therefore important to improve on the activities of the chain actors for an overall economic gains. This paper aims to examine the nexus between sustainable value chain and financial benefits of the soybean value chain system in Ghana. Specifically, we employ the triple bottom line model to examine the soybean value chain from economic, social and environmental perspectives using sample data from Ghana. With a sample size of 300 including all actors of the value chain, our findings reveal that chain actors do not differ in their perceptions of overall financial gains that accrued to them with their involvement in chain economic activities. The findings further revealed that perceived financial sustainability of chain activities was affected by tangible financial benefits. Moreover, the results further show that chain actors’ perception of social sustainability performance was significantly affected by expected overall financial gains that accrue to them as a result of their participation in chain economic activities
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