Universidad Politécnica Estatal del Carchi, Antisana and Universitaria Avenue, Tulcán, Carchi, 040101, Ecuador.
Trop Anim Health Prod. 2024 Sep 4;56(7):254. doi: 10.1007/s11250-024-04092-x.
The socioeconomic factors influencing small-scale dairy producers in the border area between Ecuador and Colombia were meticulously identified. Employing a non-experimental design, the study leveraged multivariate statistical analysis to discern key determinants. Data processing was executed using the statistical software SPSS v27, facilitating comprehensive analysis. A random survey was administered to 532 small and medium-scale dairy producers in the Carchi province of Ecuador, employing a structured questionnaire supplemented with a Likert scale for nuanced insights. Based on 35 original variables, seven determining factors were identified in dairy farms: political representation, adequate housing, equipment, innovation, empathy, profitability, social welfare, which combined explain 60.95% of the system's variability. Such factors affect production, the level of household income, as well as their effect on the standard of living of households. Three groups were formed, the first with a low perception of economic development (Traditionalists 33.3%); the second with a better expectation of economic development (Modernizers 27.6%); and the third, identified with greater economic development (Innovators 10.3%). Each group presents cases with a low to high standard of living perspective. The groups have peculiarities in terms of their performance that can be applied to the entire population. A significant relation was established between socioeconomic factors and standard of living.
详细识别了影响厄瓜多尔和哥伦比亚边境地区小型奶牛养殖场的社会经济因素。该研究采用非实验设计,利用多元统计分析来辨别关键决定因素。使用统计软件 SPSS v27 进行数据分析,便于进行全面分析。对厄瓜多尔卡恰省的 532 个中小规模奶牛养殖场进行了随机调查,采用结构化问卷,并辅以李克特量表进行细致洞察。基于 35 个原始变量,在奶牛养殖场确定了 7 个决定因素:政治代表性、适当住房、设备、创新、同理心、盈利能力和社会福利,这些因素共同解释了系统可变性的 60.95%。这些因素影响生产、家庭收入水平,以及对家庭生活水平的影响。形成了三个群体,第一个群体对经济发展的感知度较低(传统主义者 33.3%);第二个群体对经济发展的预期较好(现代化主义者 27.6%);第三个群体与更大的经济发展相关联(创新者 10.3%)。每个群体都有从低到高生活水平的情况。这些群体在绩效方面具有特殊性,可以应用于整个人口。社会经济因素与生活水平之间建立了显著关系。