Coffee Science
URI permanente desta seção${dspace.url}/handle/123456789/3355
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Item Agricultural Practices, Climate Resilience, and Socioeconomic Factors Influencing Coffee Value and Productivity in Vietnam(Editora UFLA, 2025-05-20) Trung, Ha Quang; Tu, Le Minh; Quang, Luong HongThis study examines the factors affecting coffee value and yield among farming households in Vietnam’s Central Highlands. Utilizing data from the Vietnam Household Agriculture Research Survey and applying ordinary least squares regression, we examine how key variables such as Arabica cultivation, organic certification, input costs, labor, household characteristics, infrastructure access, and climate resilience impact coffee productivity and profitability. The results indicate that increasing the proportion of Arabica coffee significantly enhances both coffee value and yield. Efficient management of economic inputs, particularly irrigation and pesticide use, is found to be crucial in boosting productivity. Household characteristics, including education level and social organization membership, also positively impact coffee yield and profitability, reflecting the role of knowledge dissemination and community engagement. Conversely, high labor costs and remote farm locations negatively affect coffee productivity, while drought events significantly reduce coffee value, highlighting the vulnerability of coffee production to climate change. The findings provide empirical support for policy interventions aimed at strengthening Vietnam’s coffee sector through infrastructure investment, climate adaptation strategies, and the promotion of diversified coffee varieties. Additionally, the study underscores the importance of balancing economic inputs with sustainable farming practices to enhance both environmental and financial resilience.Item Factors affecting coffee farmers’ production in Jimma Zone, Southwest Ethiopia(Editora UFLA, 2024-09-24) Tamirat, Negese; Tadele, SanaitCoffee yield has good potential in the welfare capabilities of growers in coffee cultivating in Ethiopia in general and particularly in Jimma zone, southwest Ethiopia. Therefore, this study attempts to investigate the factors affecting coffee production in Jimma Zone, Southwest Ethiopia, using cross-sectional field survey data collected from 204 sample coffee growers in the 2023 main growing season. Primary and secondary data were collected in this study. Descriptive and binary logistic regression methods were employed for the data analysis. The results of binary logistic regression analysis showed that age, education status, off-farm activity, landholding, livestock holding, soil fertility, fertilizer use, use of credit, access to extension service, provision of improved seed, access to market information, access to infrastructure, distance to the nearest market and distance to the nearest road were the factors significantly influencing coffee production. Overall, the findings indicate that to enhance and sustain coffee yield in the study area, improved coffee varieties and agronomic practices can be better options to expand coffee yield. Therefore, the concerned bodies should pay considerable attention to coffee production, which is a crucial base for driving food security. The summary of coffee production by policymakers could help to achieve improved living standards for the people in the Jimma Zone.