Factors Influencing Decision Making for Sugarcane as a Commercial of the People in Phiengxay Village Cluster, Bounneua District, Phongsaly Province
DOI:
https://doi.org/10.69692/SUJMRD1204119Keywords:
influencing factors, decision making, commercial sugarcane cultivationAbstract
The objectives of this research were to examine the status of sugarcane cultivation and distribution and to investigate the factors associated with the decision to cultivate sugarcane as a commercial crop among residents in the Phiangxai village cluster, Bounneua District, Phongsaly Province. The study population consists of 532 households engaged in commercial sugarcane cultivation across 6 villages, with a sample size of 229 households. Data were collected using a questionnaire. Descriptive statistics including frequencies, percentages, means, and standard deviations were employed for data analysis. Additionally, the Chi-square test was used to examine the relationships between various factors and the decision to cultivate sugarcane, with all analyses performed using the SPSS software.
The study found that farmers have been growing sugarcane as a commercial crop for over five years, with an average cultivation area of 0.73 hectares per household. The District Agriculture Office and a sugarcane promotion project have supported this activity. Key reasons for choosing to grow sugarcane include the availability of a reliable market, favorable selling prices, and low production costs. The average annual yield is 85.70 tonnes per household, generating an average annual income of 88,251,000 kip per household. Factors related to people's decisions to cultivate sugarcane include personal factors, with a correlation statistic of 63.18 (at a 99% confidence level); economic factors, with a correlation statistic of 64.52 (at a 99% confidence level); marketing and support, with a correlation statistic of 168.27 (at a 95% confidence level); social aspects and reference groups, with a correlation statistic of 26.61 (at a 90% confidence level); physical and environmental factors; and production and technology, with a correlation statistic of 88.84 (at a 90% confidence level).
