References
- Ahmad, N. K., J. Rezaei, M. P. Brito, and L. A. Tavasszy. 2016. The influence of external factors on supply chain sustainability goals of the oil and gas industry. Resources Policy 49:302–14. doi:https://doi.org/10.1016/j.resourpol.2016.06.006.
- Baloch, Z. A., Q. Tan, N. Iqbal, M. Mohsin, Q. Abbas, W. Iqbal, and I. S. Chaudhry. 2020. Trilemma assessment of energy intensity, efficiency, and environmental index: Evidence from BRICS countries. Environmental Science and Pollution Research 27 (27):34337–47. doi:https://doi.org/10.1007/s11356-020-09578-3.
- BP. 2018. BP statistical review of world energy 2017. Accessed September 10, 2019. https://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html.
- Bucelli, M., N. Paltrinieri, and G. Landucci. 2017. Integrated risk assessment for oil and gas installations in sensitive areas. Ocean Engineering 150:377–90. doi:https://doi.org/10.1016/j.oceaneng.2017.12.035.
- Cai, W. 1994. Matter-element model and application. Beijing: Science and Technology Literature Press.
- Carneiro, M. C., G. P. Ribas, and S. Hamacher. 2010. Risk management in the oil supply chain: A CVaR approach. Industrial & Engineering Chemistry Research 49 (7):3286–94. doi:https://doi.org/10.1021/ie901265n.
- Chen, S., Y. Song., Y. T. Ding, M. Zhang, and R. Nie. 2021. Using long short-term memory model to study risk assessment and prediction of China’s oil import from the perspective of resilience theory. Energy 215:119152. doi:https://doi.org/10.1016/j.energy.2020.119152.
- Chuang, M. C., and H. W. Ma. 2013. An assessment of Taiwan’s energy policy using multi-dimensional energy security indicators. Renewable and Sustainable Energy Reviews 17:301–11. doi:https://doi.org/10.1016/j.rser.2012.09.034.
- Du, L. M., Y. N. He, and C. Wei. 2010. The relationship between oil price shocks and China’s macro-economy: An empirical analysis. Energy Policy 38 (8):4142–51. doi:https://doi.org/10.1016/j.enpol.2010.03.042.
- EIA (U.S. Energy Information Administration). 2018a. Country overview: China, 2018. Accessed August 10, 2019. https://www.eia.gov/international/overview/country/CHN.
- EIA (U.S. Energy Information Administration). 2018b. Accessed August 10, 2019. https://www.eia.gov/petroleum/data.php
- Friedman, J. H., and J. W. Turkey. 1974. A projection pursuit algorithm for exploratory data analysis. IEEE Transaction on Computers 23 (9):881–90. doi:https://doi.org/10.1109/T-C.1974.224051.
- Geng, J. B., and Q. Ji. 2014. Multi-perspective analysis of China’s energy supply security. Energy 64:541–50. doi:https://doi.org/10.1016/j.energy.2013.11.036.
- Gupta, E. 2008. Oil vulnerability index of oil-importing countries. Energy Policy 36 (3):1195–211. doi:https://doi.org/10.1016/j.enpol.2007.11.011.
- Hirschman, A. O. 1964. The paternity of an index. American Economic Review 54 (5):761–70.
- ICC-IMB (ICC International Maritime Bureau). 2018. Piracy and Armed Robbery against Ships Report. Accessed July 10, 2019. http://www.imo.org/en/OurWork/Security/PiracyArmedRobbery/Pages/Default.aspx.
- Iqbal, W., A. Altalbe, A. Fatima, A. Ali, and Y. Hou. 2019. A DEA approach for assessing the energy, environmental and economic performance of top 20 Industrial Countries. Processes 7 (12):902. doi:https://doi.org/10.3390/pr7120902.
- Iqbal, W., A. Fatima, H. Yumei, Q. Abbas, and R. Iram. 2020. Oil supply risk and affecting parameters associated with oil supplementation and disruption. Journal of Cleaner Production 255:120187. doi:https://doi.org/10.1016/j.jclepro.2020.120187.
- Li, J. P., X. L. Sun, F. Wang, and D. S. Wu. 2015. Risk integration and optimization of oil-importing maritime system: A multi-objective programming approach. Annals of Operations Research 234 (1):57–76. doi:https://doi.org/10.1007/s10479-014-1550-5.
- Li, W. Q., F. Fu, L. W. Ma, P. Liu, Z. Li, and Y. P. Dai. 2013. A process-based model for estimating the well-to-tank cost of gasoline and diesel in China. Applied Energy 102:718–25. doi:https://doi.org/10.1016/j.apenergy.2012.08.022.
- Liang, K., G. S. Zhang, H. Meng, J. Zheng, J. Su, J. L. Huang, H. B. Bi, and X. L. Xu. 2019. Research on the security evaluation of China petroleum based on PSR model. Energy of China 41 (6):4–10. doi:https://doi.org/10.3969/j..1003-2355.2019.06.001.
- Liu, C. Q. 2019. Development report of domestic and foreign oil and gas industry in 2018. Beijing: Petroleum Industry Press.
- Liu, H. M., and Z. X. Zhang. 2018. Research on petroleum security evaluation in China under the background of international oil price fluctuation. Journal of China University of Petroleum (Edition of Social Science) 34 (6):21–28. doi:https://doi.org/10.13216/j.cnki.upcjess.2018.06.0004.
- Lou, W. G., and L. Qiao. 2005. New theory exploitation of projection pursuit clustering model and its positive research. Journal of Applied Statistics and Management 34 (1):47–58. doi:https://doi.org/10.13860/J.CNKI.SLTJ.20130830-001.
- Ma, Y., Y. X. Zhao, L. G. Wu, Y. X. He, and X. S. Yang. 2015. Navigability analysis of magnetic map with projecting pursuit-based selection method by using firefly algorithm. Neurocomputing 159:288–97. doi:https://doi.org/10.1016/j.neucom.2015.01.028.
- Pan, L. Y., P. Liu, and Z. Li. 2017. A system dynamic analysis of China’s oil supply chain: over-capacity and energy security issues. Applied Energy 188:508–20. doi:https://doi.org/10.1016/j.apenergy.2016.12.036.
- Sun, M., C. X. Gao, and B. Shen. 2014. Quantifying China’s oil import risks and the impact on the national economy. Energy Policy 67:605–11. doi:https://doi.org/10.1016/j.enpol.2013.12.061.
- Sun, X. L., J. P. Li, D. S. Wu, and S. L. Yi. 2012. Energy geopolitics and Chinese strategic decision of the energy-supply security: A multiple-attribute analysis. Journal of Multi-Criteria Decision Analysis 18 (1–2):151–60. doi:https://doi.org/10.1002/mcda.479.
- Sun, X. L., C. Liu, X. W. Chen, and J. P. Li. 2017. Modeling systemic risk of crude oil imports: case of China’s global oil supply chain. Energy 121:449–65. doi:https://doi.org/10.1016/j.energy.2017.01.018.
- Wang, N. L., W. H. You, and C. Peng. 2019. Heterogeneous risk spillovers from crude oil to regional natural gas markets: The role of the shale gas revolution. Energy Sources Part B-Economics Planning and Policy 14 (6):215–34. doi:https://doi.org/10.1080/15567249.2019.1662519.
- Wang, Q., and S. Q. Li. 2019. Shale gas industry sustainability assessment based on WSR methodology and fuzzy matter-element extension model: the case study of China. Journal of Cleaner Production 226:336–48. doi:https://doi.org/10.1016/j.jclepro.2019.03.346.
- Wang, S., S. W. Wallace, J. Lu, and Y. W. Gu. 2020. Handling financial risks in crude oil imports: taking into account crude oil prices as well as country and transportation risks. Transportation Research Part E: Logistics and Transportation Review 133:101824. doi:https://doi.org/10.1016/j.tre.2019.101824.
- Wei, W. D., W. Q. Cai, Y. Guo, C. Q. Bai, and L. Z. Yang. 2020. Decoupling relationship between energy consumption and economic growth in China’s provinces from the perspective of resource security. Resources Policy 68:101693. doi:https://doi.org/10.1016/j.resourpol.2020.101693.
- Yang, Y. Y., J. P. Li, X. L. Sun, and J. M. Chen. 2014. Measuring external oil supply risk: A modified diversification index with country risk and potential oil exports. Energy 68:930–38. doi:https://doi.org/10.1016/j.energy.2014.02.091.
- Zhang, H. Y., Q. Ji, and Y. Fan. 2013. An evaluation framework for oil import security based on the supply chain with a case study focused on China. Energy Economics 38:87–95. doi:https://doi.org/10.1016/j.eneco.2013.03.014.
- Zhao, C. F., and B. Chen. 2014. China’s oil security from the supply chain perspective: A review. Applied Energy 136:269–79. doi:https://doi.org/10.1016/j.apenergy.2014.09.016.