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This paper seeks to examine the prospects and constraints of implementing food banking in the in Kumasi Metropolis in Ghana.

Multistage sampling technique was used to select 385 respondents for the study. Descriptive statistics were used to present prospects of food banking. The probit regression model was used to analyse factors influencing food banking implementation whereas Kendall's coefficient of concordance was used to analyse constraints in implementing food banking.

Addressing food poverty, helping to provide food aid to respondents in times of pandemics (such as Covid 19) and also helping in reducing food wastage were the most notable prospects of food banking. Age, household size, food bank awareness and food poverty had a significant positive influence on food banking implementation, whereas residential status and employment status had a significant negative influence on food banking implementation. The most pressing constraint in implementing food banking is funding and support with the mean rank of 3.03 whiles the least pressing constraint is improper documentation of potential beneficiaries with the mean rank of 6.72.

This study provides empirical contributions and practical implications for implementing food banks in Ghana. Thus, the government of Ghana through the Ministry of Food and Agriculture (MOFA) can enact policies that can help prevent food losses and wastage. In this vain, food which could have been wasted would be redirected to food banks. This can serve as a tool for social intervention, poverty alleviation and prevention of hunger among the vulnerable in Ghana.

Despite several studies on food banking in affluent countries, food banking research in developing countries such as Ghana remains scanty. Thus, this paper makes significant contributions to the literature on prospects and constraints in implementing food banking and the factors influencing food banking implementation.

The study analyses the preference for forestry insurance amongst tree growers in the Ashanti Region of Ghana. Specifically, the authors examine the factors influencing the amount of forestry insurance and the choice for forestry insurance types.

A total of one hundred and seventy (170) tree growers were sampled for the study. The tobit model, multi-nomial regression and Kendall's tau were employed to analyse the factors affecting the amount for forestry insurance, the choice for forestry insurance types and the perils to forest quality, respectively.

The results of the study indicate that the incidence of bush fire and theft were the key perils that affect forest quality. In total, 52.94% of respondents preferred forest plantation fire insurance as named-peril insurance whereas 70.59% preferred a combination of forest plantation fire, windstorm and consequential loss insurance as multi-peril insurance. The majority (89.4%) of the respondents were willing to pay an amount between Ghc 10.00–49.00 (US$ 2–8) per stand. On the one hand, results of the tobit model reveal age, income, experience in forest management, land ownership and the previous occurrence of fire as the factors affecting the amount for forestry insurance. On the other hand, the multi-nomial results indicate the previous occurrence of fire, gender, forest size, income and risk aversion significantly influenced the choice for forestry insurance types, namely named peril and multi-peril.

Several studies exist for forestry insurance in the developed countries. However, in West Africa specifically, Ghana, studies on forestry insurance appear to be non-existent. Above and beyond, this study, therefore, adds to the paucity of research on forestry insurance in Ghana and serves as a framework for agricultural insurance institutions such as the Ghana Agricultural Insurance Pool (GAIP) and World cover and other agricultural insurance institutions globally.

Aquaculture insurance has the potential of redressing climate-change because it serves as an alternative source of finance in the event of unforeseen circumstances. To this end, the authors examine the prospects, determinants and profitability of aquaculture insurance among fish farmers in the Eastern region of Ghana.

A total of 140 fish farmers were sampled for the study. Thematic analysis was used to determine perceived aquaculture insurance prospects. The Heckman's two-stage model, profitability index (PI) and return on investment (ROI) was employed to respectively determine the factors influencing aquaculture insurance participation and amount intensity and the profitability of aquaculture.

The thematic analysis revealed three themes on the perception of aquaculture insurance prospects: loss recovery, farm renovation and promotes agriculture. Different sets of demographic and institutional factors have varying influences on aquaculture insurance participation and amount intensity. Profitability index (PI) and return on investment (ROI) were respectively 2.07 and 3.2%.

The research provides relevant information on perceived aquaculture insurance prospects, aquaculture insurance participation, and amount intensity and profitability of aquaculture which can contribute to enhancing aquaculture insurance and the aquaculture industry in Ghana.