ENERGY CONSUMPTION INTENSITY IN CHINA STEEL SUPPLY CHAIN
Nowadays, energy plays as a critical role in the industrial world. One of the main industries that consume a huge amount of energy is steel industry. As a result, steel industrial managers need to measure the energy consumption in steel supply chain before controlling energy usage. So, the objective of this paper is to investigate the energy of the steel industry in China at the macroeconomic level. The World Input Output Databases have been applied for gathering the requirement data. Mining industry, Water, Gas and Electricity suppliers industry and Machining industry are found as the main Chinese suppliers of China steel industry. Then, by forming the supply chain of the steel industry, the suppliersâ€™ energy consumption is compared with each other. It is concluded that in a two echelon supply chain of China steel industry, almost a quarter of the total energy consumption is related to the suppliers and the remaining belongs to steel industry itself. The relationship between the suppliers will be considered in future research to be compared with the results of this paper
Ahi, P. And Searcy, C., (2013). A comparative literature analysis of
definitions for green and sustainable supply chain management. Journal of Cleaner Production. 52: 329-341.
Brandenburg, M., Govindan, K., Sarkis, J. And Seuring, S., (2014). Quantitative models for sustainable supply chain management:
Developments and directions. European Journal of Operational Research. 233 (2): 299-312.
Cabeza, L. F., RincÃ³n, L., VilariÃ±o, V., PÃ©rez, G. And Castell, A., (2014). Life cycle assessment (LCA) and life cycle energy
analysis (LCEA) of buildings and the building sector: A review. Renewable and Sustainable Energy Reviews. 29: 394-416.
Chin, T. A., Tat, H. H. And Sulaiman, Z., (2015). Green Supply Chain Management, Environmental Collaboration and Sustainability Performance. Procedia CIRP. 26: 695-699.
Fahimnia, B., Sarkis, J. And Davarzani, H., (2015). Green supply chain management: A review and bibliometric analysis.
International Journal of Production Economics. 162: 101-114.
Govindan, K., Rajendran, S., Sarkis, J. And Murugesan, P., (2013). Multi criteria decision making approaches for green supplier evaluation and selection: a literature review. Journal of Cleaner
Production. 98: 66-83.
HalldÃ³rsson, Ã. And Svanberg, M., (2013). Energy resources: trajectories for supply chain management. Supply Chain
Management: An International Journal. 18(1): 66-73.
Harada, T. And Tanaka, H., (2011). Future Steelmaking Model by Direct Reduction Technologies. ISIJ International. 51(8): 1301-
Hasanbeigi, A., Morrow, W., Sathaye, J., Masanet, E. And Xu, T., (2013). A bottomup model to estimate the energy efficiency
improvement and CO2 emission reduction potentials in the Chinese iron and steel industry. Energy. 50: 315-325.
He, F., Zhang, Q., Lei, J., Fu, W. And Xu, X., (2013). Energy efficiency and productivity change of Chinaâ€™s iron and steel industry: Accounting for undesirable outputs. Energy Policy. 54: 204-213.
Hong, J., Shen, Q., And Xue, F., (2016). A multi-regional structural path analysis of the energy supply chain in China's construction industry. Energy Policy. 92: 56- 68.
Kannan, D., de Sousa Jabbour, A. B. L. And Jabbour, C. J. C., (2014). Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company. European Journal of
Operational Research. 233 (2): 432-447.
Miller, R. E. And Blair, P. D., (2009). Inputoutput analysis: foundations and extensions. 2nd. Ed. Cambridge University Press.
Niknejad, M., (2012). Green supply chain with a case study. Supply chain management magazine. 13 (34): 20-27 [In Persian].
Noferesaty, A., Fatahi, K. And Abbasi, F., (2012). Managerial summary on analyzing steel industry in Iran and world, Export development Bank Annual report No 9021008. Retrieved from http://en.edbi.ir/lang-en/HomePage/default.edbi [In Persian].
Poudelet, V., Chayer, J. A., Margni, M., Pellerin, R. And Samson, R., (2012). A process-based approach to operationalize life cycle assessment through the development of an eco-design decisionsupport
system. Journal of Cleaner Production. 33: 192-201.
Sarkis, J., (2012). A boundaries and flows perspective of green supply chain management. Supply Chain Management: An International Journal. 17 (2): 202-216.
Seuring, S., (2013). A review of modeling approaches for sustainable supply chain management. Decision support systems. 54 (4): 1513-1520.
Su, B. And Ang, B. W., (2015). Multiplicative decomposition of aggregate carbon intensity change using inputâ€“ output analysis. Applied Energy. 154: 13-20.
Timmer, M. P.; Dietzenbacher, E.; Los, B.; Stehrer, R. And de Vries, G. J., (2015). An Illustrated User Guide to the World Inputâ€“ Output Database: the Case of Global Automotive Production. Review of
International Economics. 23(3): 575-605.
Wu, C. And Barnes, D., (2016). An integrated model for green partner selection and supply chain construction. Journal of Cleaner Production. 112 (3): 2114-2132.
Xie, G., (2015). Modeling decision processes of a green supply chain with regulation on energy saving level. Computers & Operations Research. 54: 266- 273.
Yeh, W. C. And Chuang, M. C., (2011). Using multi-objective genetic algorithm for partner selection in green supply chain problems. Expert Systems with Applications. 38 (4): 4244-4253.