生态足迹对拉贾哈特大学大学生亲环境行为的影响

Sapphasit Kaewhao
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引用次数: 0

摘要

研究目的是研究住房生态足迹、食物生态足迹、交通生态足迹、服装生态足迹、医药生态足迹、住房生态足迹和亲环境行为水平,并研究住房生态足迹、食物生态足迹、交通生态足迹、服装生态足迹、食品生态足迹和食品生态足迹的自变量。医学生态足迹和住房生态足迹影响大学生亲环境行为的因变量本次调查采用问卷调查的方式,在2021学年的第一学期对拉贾哈特大学的400名本科生和10757名本科生进行了调查。样品采集采用多级采样技术。采用多元回归分析确定自变量与因变量之间的关系。结果表明,从整体上看,住房生态足迹、食物生态足迹、交通生态足迹、服装生态足迹、医药生态足迹、住房生态足迹和亲环境行为的水平最高。住房生态足迹、食物生态足迹、交通生态足迹、布料生态足迹、医药生态足迹、住房生态足迹等自变量对亲环境行为因变量的预测准确率为65.90%(调整后R2 = 0.659)。食品生态足迹影响最大,为0.248。
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Ecological Footprint Affecting the Pro-environmental Behavior of Undergraduates of Rajabhat Mahasarakham University
The research objectives were to study Ecological Footprint for Shelter, Ecological Footprint for Food, Ecological Footprint for Transportation, Ecological Footprint for Cloth, Ecological Footprint for Medicine, and Ecological Footprint for Housing and Pro-environmental Behavior levels and to study the independent variables comprise of Ecological Footprint for Shelter, Ecological Footprint for Food, Ecological Footprint for Transportation, Ecological Footprint for Cloth, Ecological Footprint for Medicine and   Ecological Footprint for Housing affecting dependent variable of Pro-environmental Behavior of undergraduates. This survey used a questionnaire to gather 400 undergraduates and 10,757 undergraduates of Rajabhat Mahasarakham University in the first semester of the academic year of 2021. The Multi-Stage sampling technique was employed to collect the sample. Multiple Regression Analysis was used to determine the relationship between independent and dependent variables.             The results illustrated that in a holistic view of Ecological Footprint for Shelter, Ecological Footprint for Food, Ecological Footprint for Transportation, Ecological Footprint for Cloth, Ecological Footprint for Medicine, and Ecological Footprint for Housing and Pro-environmental Behavior were most levels. Moreover, independent variables of Ecological Footprint for Shelter, Ecological Footprint for Food, Ecological Footprint for Transportation, Ecological Footprint for Cloth, Ecological Footprint for Medicine, and Ecological Footprint for Housing can predict the variation of the dependent variable of Pro-environmental behavior with 65.90 percent of power prediction (Adjusted R2  = 0.659). Ecological Footprint for Food was the highest effect with 0.248.
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