Factors affecting farmers' attitudes toward growing Arabica coffee in Na Yai Am District, Chanthaburi province

Abstract

The objectives of this research were 1) to study the personal, economic, and social characteristics of Arabica coffee growing in Na Yai Am District, Chanthaburi Province 2) to assess knowledge about growing Arabica coffee of farmers 3) to analyze the attitude of farmers in growing to Arabica coffee in Na Yai Am District, Chanthaburi Province and 4) to analyze the factors influencing farmers' attitudes towards growing Arabica coffee in the Na Yai Am District, Chanthaburi Province. The sample was farmers who grew Arabica coffee in Na Yai Am District. Collect data from 156 samples. The questionnaire was created to collect data between April to July 2023. Data were analyzed by descriptive statistics including frequency, average, percentage, minimum, maximum, and standard deviation Hypotheses were tested using multiple regression analysis. Research showed that the majority of farmers were male. Are over 51 years old, graduated from Primary school. Farmers received information about Arabica coffee from their neighbors, and persuasion from neighbors was the reason for the decision to grow Arabica coffee. And farmers have a moderate level of knowledge about growing Arabica coffee. The attitudes of farmers towards growing Arabica coffee, across all 8 aspects, are overall at a moderate level, with an average score of 3.05. The attitude with the highest average score, 4.38, is in the decision to cultivate coffee in conjunction with other crops. The specific aspect with the lowest attitude score is the availability and adequacy of agricultural tools and machinery, with an average score of 0.22. Factors affecting farmers' attitudes in growing  Arabica coffee in Na Yai Am District, Chanthaburi Province have 3 factors: (1) annual household income has a positive variable, indicating that farmers with higher production costs for coffee are more likely to cultivate Arabica coffee compared to farmers with lower production costs.