Determinants of Food Logistics Carbon Emissions : An Empirical Evidence of W Food Company

• Main Authors: Yang, Chun-Fu, 楊春福
• Other Authors: Lee, Min-Hsien
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/zhdkkp

碩士 === 元培醫事科技大學 === 企業管理系碩士班 === 104 === The purpose of this study was to investigate the relationship between climate conditions, vehicle variables, regional factors and food logistic carbon emission. The research collected data of food logistic related carbon emissions and meteorological data through qualitative research methods, and used the SPSS Statistics to discuss the determinants of food logistic carbon emissions and food logistic carbon emissions predictive model. The results showed that there is significant correlation between vehicle mileage, transport shops, sum of business and the amount of food logistic carbon emissions (P<0.05), and rainfall has negative correlation between vehicle mileage and food logistic carbon emissions (P<0.05). Meanwhile, the climate conditions, vehicle variables, and food logistic carbon emission in different business area are significant differences (P <0.05). This study further used regression analysis to investigate the food logistic carbon emissions determinants, the regression model of food logistic carbon emission is: Carbon Emissions = 0.323＊【vehicle mileage】＋0.225＊【sum of business】＋2779.375. Based on the above conclusions, it provides references for the food logistic industry to formulate a strategy for reducing carbon emissions.