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Zhou, Lingyun
- Calculation and Evaluation of Carbon Dioxide Emissions of Regional Logistics Ecosystem: a Study in China
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Authors
Affiliations
1 School of Management Engineering, Huaiyin Institute of Technology, Huaian 223001, CN
2 Department of Public Policy, City University of Hong Kong, 999077, HK
1 School of Management Engineering, Huaiyin Institute of Technology, Huaian 223001, CN
2 Department of Public Policy, City University of Hong Kong, 999077, HK
Source
Nature Environment and Pollution Technology, Vol 14, No 4 (2015), Pagination: 791-798Abstract
Regional logistics with a large quantity of energy consumption and carbon emissions has great important impacts on the regional ecological environment. Therefore, constructing the regional logistics ecosystem has become a crucial way to minimize the environmental impacts. This paper aims to accurately obtain the characteristics and causes of carbon dioxide (CO2) emissions of regional logistics ecosystem. It firstly analyses the main factors affecting carbon emissions of regional logistics ecosystem, and then builds the calculation model and the performance evaluation model of carbon emissions of regional logistics ecosystem respectively based on regional logistics activities and their energy consumption structures. According to energy consumption statistics of 30 provinces in China, it calculates the total amounts and differences of CO2 emissions of logistics activities in different regions of China. The results illustrate that the overall regional logistics ecosystem in China is in its initial stage with huge carbon emissions; and there are significant variations in CO2 emission intensities of regional logistics and CO2 emission amounts per unit of cargo turnover between different regions. This research offers accurate information for policy making of logistics industry and setting the carbon emission reduction targets in different regions of China.Keywords
Regional Logistics Ecosystem, Ecological Environment, Energy Consumption, CO2 Emission, Performance Measurement.Full Text
References
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- Areal Variation Measurement and Influencing Factor Decomposition of Carbon Emissions of Regional Logistics Ecosystems
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Authors
Affiliations
1 Department of Business Management, Kunshan Dengyun College of Science and Technology, Suzhou 215300, IN
2 Key Laboratory for Traffic and Transportation Security of Jiangsu Province, Huaiyin Institute of Technology, Huaian 223003, IN
3 Key Laboratory for Traffic and Transportation Security of Jiangsu Province, Huaiyin Institute of Technology, Huaian 223003, CN
1 Department of Business Management, Kunshan Dengyun College of Science and Technology, Suzhou 215300, IN
2 Key Laboratory for Traffic and Transportation Security of Jiangsu Province, Huaiyin Institute of Technology, Huaian 223003, IN
3 Key Laboratory for Traffic and Transportation Security of Jiangsu Province, Huaiyin Institute of Technology, Huaian 223003, CN
Source
Nature Environment and Pollution Technology, Vol 17, No 1 (2018), Pagination: 77-86Abstract
Carbon emissions significantly affect the sustainable development of regional logistics ecosystems. However, the existing studies on logistics carbon emissions seldom consider the spatial inequality characteristic. A comprehensive approach to analyse the areal variations and the influencing factors of carbon emissions of regional logistics ecosystems accurately, was proposed in this study. The carbon emissions of regional logistics ecosystems were initially discussed and their areal variations were measured using Theil index model. Then, the key influencing factors of carbon emission change of regional logistics ecosystems, as well as the effects of these influencing factors were analysed. Finally, an empirical analysis was conducted considering Jiangsu province in China as an example. Results demonstrate the following: (1) The areal variations of carbon emissions of regional logistics ecosystems between regions and within regions can be measured objectively and scientifically with Theil index model, and the areal variation changes in carbon emissions can be accurately reflected. (2) The influencing factors of carbon emissions of regional logistics ecosystems can be classified into three factors, namely, energy structure, economic scale, and industrial structure, by using the logarithmic mean Divisia index decomposition approach. Moreover, the contributions of influencing factors to the carbon emission changes can be identified quantitatively. (3) Results of the empirical analysis show that the energy structure and economic scale in Jiangsu province positively affect the carbon emissions of regional logistics ecosystems. However, the industrial structure plays an adverse role. The study provides a new decision-making method to analyse quantitatively the areal variations in carbon emissions of regional logistics ecosystems, which can be used as a reference when designing differentiated measures and policies for low-carbon logistics development in different regions.Keywords
Regional Logistics Ecosystem, Carbon Emission, Areal Variation, Factor Decomposition.Full Text
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