Open Access Open Access  Restricted Access Subscription Access

Calculation and Evaluation of Carbon Dioxide Emissions of Regional Logistics Ecosystem: a Study in China


Affiliations
1 School of Management Engineering, Huaiyin Institute of Technology, Huaian 223001, China
2 Department of Public Policy, City University of Hong Kong, 999077, Hong Kong
 

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.
User
Notifications
Font Size


  • Aronsson, H. and Huge Brodin, M. 2006. The environmental impact of changing logistics structures. International Journal of Logistics Management, 17(3): 394-415.
  • Ang, B.W. and Lee, S.Y. 1994. Decomposition of industrial energy consumption: some methodological and application issues. Energy Economics, 16(2): 83-92.
  • Corbett, C. and Kleindrofer, P.R. 2001. Introduction to the special issue to the environmental management and operation. Journal of Production and Operations Management, 10(3): 225-228.
  • Carbone, V. and Moatti, V. 2011. Towards greener supply chains: an institutional perspective. International Journal of Logistics: Research and Applications , 14(3): 179-197.
  • Carter, C. R. and Ellram, L. M. 1998. Reverse logistics: a review of the literature and future investigation. Journal of Business Logistics, 19(1): 85-102.
  • Churkina, G. 2008. Modeling the carbon cycle of urban systems. Ecological Modeling, 216(2): 107-113.
  • Dowlatshahi, S. 2000. Developing a theory of reverse logistics. Interfaces, 30(3): 143-155.
  • Halldorsson, Arni and Kovacs Gyongyi. 2010. The sustainable agenda and energy efficiency: Logistics solutions and supply chains in times of climate change. International Journal of Physical Distribution & Logistics Management, 40(1/2): 5-13.
  • Henrik Palsson and Gyongyi Kovacs. 2014. Reducing transportation emissions: a reaction to stakeholder pressure or a strategy to increase competitive advantage. International Journal of Physical Distribution & Logistics Management, 44(4): 283-304.
  • Hsu, C. W., Kuo, T. C., Chen, S. H. and Hu, A. H. 2013. Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management. Journal of Cleaner Production, 56: 164-172.
  • Jens Tacken, Vasco Sanchez Rodrigues and Robert Mason. 2014. Examining CO2 reduction within the German logistics sector. The International Journal of Logistics Management, 25(1): 54-84.
  • Kengpol, A., Tuammee, S. and Tuominen, M. 2014. The development of a framework for route selection in multimodal transportation. The International Journal of Logistics Management, 25(3): 581-610.
  • Kinzig, A. P. and Kammen, D. M. 1998. National trajectories of carbon emissions: analysis of proposals to low-carbon economies. Global Environment Change, 8(3): 183-208.
  • Kristina, L., Martin, C. and Dan, A. 2015. Using a transport portfolio framework to reduce carbon footprint. The International Journal of Logistics Management, 26(2): 296-312.
  • Mathiyazhagan, K., Kannan Govindan and Noorul Haq, A. 2014. Pressure analysis for green supply chain management implementation in Indian industries using analytic hierarchy process. International Journal of Production Research, 52(1): 188-202.
  • Ramanathan, R. 2006. A multi-factor efficiency perspective to the relationship among world GDP, energy consumption and carbon dioxide emission. Technological Forecasting and Social Change, 73(5): 483-494.
  • Pishvaee, M. S., Torabi, S. A. and Razmi, J. 2012. Credibility-based fuzzy mathematical programming model for green logistics design under uncertainty. Computers & Industrial Engineering, 62(2): 624-632.
  • Sarkis, J. 2003. A strategic decision framework for green supply chain management. Journal of Cleaner Production, 11 (4): 397-409.
  • Yin, X., Chen, W. Y. and Jiyong Eom, etc. 2015. China’s transportation energy consumption and CO2 emissions from a global perspective. Energy Policy, 82: 233-248
  • Yingli Wang, Vasco Sanchez Rodrigues, and Leighton Evans. 2015. The use of ICT in road freight transport for CO2 reduction-an exploratory study of UK’s grocery retail industry. The International Journal of Logistics Management, 6(1): 2-29.
  • Zhou, Y., Wang, D.P. and Zhao, Y. 2011. Study on the CO2 emission evaluation of the provincial logistics operation and low-carbon strategy in China. China Population, Resources and Environment, 21(9): 81-87.

Abstract Views: 314

PDF Views: 0




  • Calculation and Evaluation of Carbon Dioxide Emissions of Regional Logistics Ecosystem: a Study in China

Abstract Views: 314  |  PDF Views: 0

Authors

Lingyun Zhou
School of Management Engineering, Huaiyin Institute of Technology, Huaian 223001, China
Zhonghua Gu
Department of Public Policy, City University of Hong Kong, 999077, Hong Kong
Gang Zhao
School of Management Engineering, Huaiyin Institute of Technology, Huaian 223001, China
Jianfeng Luo
School of Management Engineering, Huaiyin Institute of Technology, Huaian 223001, China

Abstract


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.

References