Effects of climate change on Coffee Production in Tanzania

Abstract

This study, conducted in the Kigoma district of Tanzania, aimed to assess the effects of climate change on coffee production, a critical economic and agricultural activity in the region. Utilizing a sample size of 384 respondents, including coffee farmers, farmer groups, and various stakeholders involved in the coffee production value chain. A descriptive statistical analysis was performed to determine the frequencies and percentages of quantitative data, which were collected through a structured questionnaire. The qualitative data collected through in-depth interviews, open-ended questions, observation, and document review was analyzed using thematic analysis, identifying and analyzing patterns and themes in the data, categorizing the data, and interpreting the findings. The findings of the study are presented clearly and concisely using tables and graphs. A multinomial Probit model was employed on the collected data and analyzed using the statistical software STATA version 18. The P-values for a Probit Model, analyzing the significance of variables y_hat and y_hat_square, were examined. The p-value for y_hat is 0.000, indicating its statistical significance and suggesting it has a substantial impact on the xiii model's dependent variable. Conversely, y_hat_square has a p-value of 0.824, signifying its lack of statistical significance, which implies that this variable does not meaningfully contribute to the model's predictive ability. The results show a notable relationship between perceptions of changes in rainfall patterns and their reported influence on coffee cultivation. Respondents who acknowledged changes in rainfall patterns tended to link them with negative consequences on coffee production. Changes in sunshine patterns and soil quality were also considered important factors influencing coffee production outcomes. Additionally, demographic data provided insights into the community's capacity to adapt and mitigate its effects. Factors such as age, educational background, and experience were essential in determining resilience and adaptability to changing environmental conditions. The gender distribution highlighted the significant role of women in coffee farming and their potential impact on adaptation strategies.