Evans Brako Ntiamoah

East Africa has a substantially greater rate of food insecurity than other regions of the world. Scenarios of climate change and other macroeconomic variables are important contributors to food insecurity in East Africa. Using data spanning from 1990 to 2020, this study looked into the influence of carbon dioxide (CO₂) emissions, economic growth, population growth, trade openness, and agricultural employment on food security in the East Africa. The fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models were used in this study. The heterogeneous panel cointegration test’s findings indicated that the study variables have an equilibrium long-term connections. The estimation findings from the FMOLS and DOLS models showed that an increase in CO₂ emissions increases food security in the East Africa over the long term. According to other findings, long-term food security is positively impacted by economic expansion, population growth, trade openness, and employment in agriculture. However, trade openness has a detrimental long-lasting effect on food security. Future research directions, research limitations, and policy implications are discussed.

The impact of access to financial services (AFS) and access to informal financial services (AIFS) on farmer income is examined in this study. After a multi-stage random sampling procedure, the study used a sample size of 478 people from two regions in Ghana. The endogenous treatment regression (ETR) model was used to account for selection bias while the unconditional quantile regression (UQR) model was used for a heterogenous analysis. The findings showed that education, financial literacy, IT access, farm size, and distance were all factors of access to financial services. Similarly, the findings revealed a positive and statistically significant link between household income and access to formal financial services. Similarly, there was a positive and significant association between access to informal financial services and household income. The findings showed that access to formal and informal financial services has different effects on household income. As a result, the effects of access to financial services on income varied by quantile. Based on the findings of the study, we developed policies to boost financial services accessibility as a means of increasing household income.

Agricultural research in Ghana has resulted in a number of innovations targeted at increasing the productivity of small agricultural businesses. However, none of these studies has investigated the factors that influence the adoption of technological innovation in Ghanaian agriculture businesses. Hence, this study examine the factors that influence the adoption of technological innovation in Ghanaian

The Ghanaian economy relies heavily on maize and soybean production. The entire maize and soybean production system is low-tech, making it extremely susceptible to environmental factors. As a result, climate change and variability have an influence on agricultural production, such as maize and soybean yields. Therefore, the study’s ultimate purpose was to analyze the influence of CO₂ emissions, precipitation, domestic credit, and fertilizer consumption on maize and soybean productivity in Ghana by utilizing the newly constructed dynamic simulated autoregressive distributed lag (ARDL) model for the period 1990 to 2020. The findings indicated that climate change enhances maize and soybean yields in Ghana in both the short run and long run. Also, the results from the frequency domain causality showed that climate change causes maize and soybean yield in the long-run. These outcomes were robust to the use of the ordinary least squares estimator and the impulse response technique. The findings show that crop and water management strategies, as well as information availability, should be considered in food production to improve resistance to climate change and adverse climatic circumstances.

This study sought to investigate the impacts of climate change on cereal production in China over the period 1990Q1–2013Q4. Using the Autoregressive Distributed Lag (ARDL) approach, the results showed that CO₂ emissions, average temperature, and temperature variability have a significant negative impact on cereal production in the long run. However, energy consumption, average rainfall, labor force, and cultivated area significantly and positively influenced the production of cereal crops in the long run. Meanwhile, the study observed that rainfall variability has no significant effect on cereal production in the long run. The study again found that in the short run, CO₂ emissions, average temperature, and temperature variability have a significant negative relationship with cereal production. Besides, energy consumption, average rainfall, rainfall variability, labor force, and the cultivated area had a significant positive association with cereal production in the short run. The results of the Granger causality test showed that there exists a unidirectional causality running from CO₂ emissions, energy consumption, and labor force to the production of cereal crops in China. On the contrary, the study found no causality between cultivated area and cereal production. The study suggests that improved cereal crop varieties ought to be developed and introduced to cope with the adverse impacts of climate change in China. This will help to circumvent Huang et al.’s (2017) prediction of a decline in the total food self-sufficiency of China from 94.5% in 2015 to about 91% by 2025.

This study investigates how innovation practices including product, process, marketing and organizational innovation affect agribusiness performance such as innovative, production, marketing and financial performance in Ghanaian agribusiness companies. Data were collected through survey questionnaires from 1526 respondents mainly from inputs supplies, production and marketing agribusiness companies. Data were analyzed by principal component analysis (PCA), and exploratory and confirmatory factor analysis. We also employed the structural equation modelling (SEM) in determing the relationships between the variables. The results reveal the positive effects of innovation practices on agribusiness performance. Managerial implications are also discussed.