Agricultural commercialization raises farm incomes and improves living standards inAfrican farming populations. Despite its importance, it remains low in Africa. Limited studies in agricultural commercialization have explored different tools for analysis given the agricultural commercialization indicators with zeros and fractions. This paper addresses methodological issue and adds literature on factors affecting agricultural commercialization. Agricultural commercialization is explored in Zhombe North Rural District using 2017/2018 cross-sectional data collected from 165 households. The zeroinflated beta regression model was used to find the drivers of agricultural commercialization. Crop output market participation share served as a proxy for agricultural commercialization. Land size, fertilizer use, use of credit, and certified seed proportion had significant positive effects on agricultural commercialization. In contrast, household head age, food cropping land size, and off-farm employment significantly influenced agricultural commercialization. The results for the model are similar to the results in previous studies using the Tobit model. The study recommends policies that promote the availability and usage of inputs to improve agricultural commercialization in the study area.
Smallholder tobacco farmers in Zimbabwe have not yet fully adopted the strategies to reduce deforestation as recommended by tobacco contracting companies and government agencies such as the Tobacco Industry and Marketing Board (TIMB), Forestry Commission of Zimbabwe (FCZ) and Environmental Management Agency (EMA). The majority of them continue to use wood fuel for curing, leading to high rates of deforestation. This study focused on assessing the factors influencing the adoption of strategies to reduce the rate of deforestation from tobacco production, including gum plantations and coal for tobacco curing in the Makoni district's Headlands area. The target population was tobacco farmers in the study area, and the sample size was 320. Descriptive statistics and logistic regression were used to analyze the data. Based on the results, the factors that were significant in influencing farmers to adopt were the farmer's age, farming experience, agricultural training, education level and occupation. The study recommends that government agencies, including the FCZ, enforce the implementation of afforestation events like tree planting day across the country to help protect the environment from deforestation.
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