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Carbon Footprints Comparation In Logistics Of Online And Entity Store Shopping

Posted on:2016-10-24Degree:MasterType:Thesis
Country:ChinaCandidate:J BaiFull Text:PDF
GTID:2191330467472658Subject:Logistics Management and Engineering
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The rapid development of e-commerce has brought the emergence of online shopping. This emerging way of shopping takes full advantage of modern information technology, brings great convenience to people’s life. So online shopping has been considered reducing the waste of resources, consistent with the development trend of low-carbon economy. However, high efficiency operation of e-commerce need support of strong logistics systems. Calculating the carbon footprint quantitatively of online shopping and entity store shopping exactly to identify the high carbon stage, then implementing effective control is essential.The goal of this paper is to compare the carbon footprints of online and entity store shopping, explore the effect of different operational processes to the environment, and then determine whether e-commerce can meet the requirements of low-carbon economy. To this end, this paper firstly made a qualitative analysis of online and entity store shopping processes, and recognised the stages which would produce carbon emissions. Then calculated the carbon footprints via GaBi6under different shopping ways. After using Monte Carlo analysis to determine uncertainty of the calculation results, the application of sensitivity analysis in this article is to identify key stages, and optimize the key stages, looking for ways to reduce the carbon footprint.The results and conclusions as follow:(1) Carbon footprint of100books via online shopping is60.50kg CO2-Equiv,50.71kg CO2-Equiv via entity store shopping. Although carbon footprint in entity store accounts for a significant proportion, but inefficient distribution, packaging, and transportation makes the way of online shopping has a higher carbon footprint than the way of store shopping.(2) Uncertainty of online shopping and entity store shopping were0.315%and0.335%separately. The sensitivity analysis showed that the key stages were distribution, packaging, transportation in online shopping and entity store.(3) Seek ways to reduce carbon footprint, and optimized online shopping carbon footprint reduced to35.6kg CO2-Equiv, the other one reduced to41.58kg CO2-Equiv. Optimized online shopping has a lower carbon footprint, and it can meet the requirements of low-carbon economy development.
Keywords/Search Tags:Online shopping, Entity store shopping, Carbon footprint, GaBi
PDF Full Text Request
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