Abstract—Global warming has become a severe problem of the environment. Logistics industry has been the second largest industry to emit the green house gas. So analyze the influence factors of logistics industry and control them can reduce carbon emission significantly. The paper collects the data of energy consumption, increase value, etc, to calculate the carbon emission and carbon emission intensity of logistics industry. Then using the Path Analysis Model, four important influence factors and their impact path are revealed. The energy structure and productive dimension have positive impact on carbon emission while energy efficiency and development level have negative impact on carbon emission. Development level has positive effect on energy efficiency.
Index Terms—Carbon emission, energy structure, energy efficiency, productive dimension, development level.
Yu Nie, Zhongdong Xiao, and Binbin Cao are with the School of Management, Xi'an Jiaotong University, Xi’an, China (e-mail: yunie@foxmail.com, xzd@mail.xjtu.edu.cn, 1029326989@qq.com).
Zhou Guanghui is with the School of Mechanical Engineering, Xi'an Jiaotong University, Xi’an, China (e-mail: ghzhou@mail.xjtu.edu.cn).
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Cite:Yu Nie, Zhongdong Xiao, Binbin Cao, and Guanghui Zhou, "Analysis of Influence Factors for Low-Carbon Logistics," Journal of Clean Energy Technologies vol. 4, no. 3, pp. 221-224, 2016.
