ABSTRACT

The objective of the study was to identify the determinants of household energy choice in Ambo town. Both primary and secondary data were gathered from respondents through questionnaires and interviews. The secondary data was collected from the Ambo administration, the Ambo health office, and the Ambo town energy and mineral office. Descriptive statistics and Multinomimial logistics regression were used to analyze the data. Multiple stage sampling was used to draw the sample. Firstly, three Kebeles were purposively selected from six Kebeles as center and distance from the center of town, and then systematic sampling was employed to collect data from 201 sample size. The result of descriptive statistics showed that gender, educational level, income, occupation, and livestock affect the energy choice whereas the F-test result showed that gender and educational level, income, occupation, and livestock were significant variables. In econometrics analysis, the results of multinomial logistics regression the analysis showed that gender, education, and income were statistically significant at a 5% level of significance. Occupation and marital status were significant at a 5% and 10% level of significance with different signs of coefficient, respectively. Based on the findings, the study suggests that influencing households’ energy choice and improvement of modern energy accessibility will play a critical role in the transition of households from traditional to modern energy sources to protect the health and environment of the residents of the town.

摘要

该研究的目的是确定安博镇家庭能源选择的决定因素。主要和次要数据都是通过问卷和访谈从受访者那里收集的。辅助数据是从安博政府、安博卫生办公室和安博镇能源和矿产办公室收集的。描述性统计和多项逻辑回归用于分析数据。多阶段抽样用于抽取样本。首先有目的地从6个Kebeles中选取3个Kebeles为中心和距市中心的距离，然后采用系统抽样的方法从201个样本量中收集数据。描述性统计结果表明，性别、受教育程度、收入、职业、和牲畜影响能源选择，而 F 检验结果显示性别和教育水平、收入、职业和牲畜是显着变量。在计量经济学分析中，多项logistic回归分析结果表明性别、教育、收入在5%的显着性水平上具有统计学意义。职业和婚姻状况分别在 5% 和 10% 的显着性水平上具有不同的系数符号。根据研究结果，该研究表明，影响家庭能源选择和改善现代能源可及性，将在家庭从传统能源向现代能源过渡以保护城镇居民的健康和环境方面发挥关键作用。和牲畜是显着的变量。在计量经济学分析中，多项logistic回归分析结果表明性别、教育、收入在5%的显着性水平上具有统计学意义。职业和婚姻状况分别在 5% 和 10% 的显着性水平上具有不同的系数符号。根据研究结果，该研究表明，影响家庭能源选择和改善现代能源可及性，将在家庭从传统能源向现代能源过渡以保护城镇居民的健康和环境方面发挥关键作用。和牲畜是显着的变量。在计量经济学分析中，多项logistic回归分析结果表明性别、教育、收入在5%的显着性水平上具有统计学意义。职业和婚姻状况分别在 5% 和 10% 的显着性水平上具有不同的系数符号。根据研究结果，该研究表明，影响家庭能源选择和改善现代能源可及性，将在家庭从传统能源向现代能源过渡以保护城镇居民的健康和环境方面发挥关键作用。和收入在 5% 的显着性水平上具有统计学意义。职业和婚姻状况分别在 5% 和 10% 的显着性水平上具有不同的系数符号。根据研究结果，该研究表明，影响家庭能源选择和改善现代能源可及性，将在家庭从传统能源向现代能源过渡以保护城镇居民的健康和环境方面发挥关键作用。和收入在 5% 的显着性水平上具有统计显着性。职业和婚姻状况分别在 5% 和 10% 的显着性水平上具有不同的系数符号。根据研究结果，该研究表明，影响家庭能源选择和改善现代能源可及性，将在家庭从传统能源向现代能源过渡以保护城镇居民的健康和环境方面发挥关键作用。