The supply chain resilience and safety level of lighting industry chain are one of the key fields of domestic concern at present. Based on a literature review, the ideas and methods of measuring the supply chain resilience and safety level of lighting industry chain were put forward. Then, an evaluation index system of industry chain resilience and safety was established, which included five dimensions: the risk management level, integrity, control force, stability, and competitiveness of industry chain. Considering the resilience of China’s industry chain and the main safety difficulties faced, the evaluation system was used to measure and evaluate the supply chain resilience and safety level of China’s lighting industry chain on the basis of the specific connotations and core elements of industry chain safety. The evaluation results show that the total score of the supply chain resilience and safety level of China’s lighting industry chain is 0.92, indicating the relatively high supply chain resilience and safety level of China’s lighting industry chain. Suggestions are put forward to strengthen the management of technological innovation ability, low-carbon ability, and domestic self-sufficiency rate of input products, so as to boost the high-quality, sustainable, and rapid development of China’s lighting industry. The research results can provide a scientific decision basis for the supply chain resilience and safety level of China’s lighting industry chain.
1. Jæger, B., Menebo, M. M., Upadhyay, A. Identification of environmental supply chain bottlenecks: a case study of the Ethiopian healthcare supply chain // Management of Environmental Quality: An International Journal, 2021, Vol. 32, #6, pp. 1233–1254.
2. Chen, R. H. from efficiency first to safety first: the transformation of global supply chain policy for key products in the United States // International Forums, 2021, Vol. 23, #5, pp. 125–139.
3. Fu, Z. P., Ye, Z.Y. The risk of global supply chain interruption and “spare tire” management under the game of great powers: Based on the case of Huawei company // Jiangsu Social Sciences, 2021, #4, pp. 111–119.
4. Yanhui, Y. Research on advanced manufacturing industry policies in the United States since the international financial crisis // Economic Forum, 2021, #1, pp. 16–21.
5. Lei, Y., Yunqing, B., Ping, Z., Zhijun, J. The international practices of policy mechanism and social consensus for reaching carbon neutrality and their key implications to China // Strategic Study of CAE, 2021, Vol. 23, #6, pp. 101–107.
6. Mohamed, A., Najafabadi, M. K., Wah, Y. B., Zaman, E. A. K., Maskat, R. The state of the art and taxonomy of big data analytics: view from new big data framework // Artificial Intelligence Review, 2020, Vol. 53, pp. 989–1037.
7. Yang, D., Wu, L., Wang, S., Jia, H., Li, K.X. How big data enriches maritime research–a critical review of Automatic Identification System (AIS) data applications // Transport Reviews, 2019, Vol. 39, #6, pp. 755–773.
8. Throne, O., Lăzăroiu, G. Internet of Things-enabled sustainability, industrial big data analytics, and deep learning-assisted smart process planning in cyber-physical manufacturing systems // Economics, Management and Financial Markets, 2020, Vol. 15, #4, pp. 49–58.
9. Poma, L., Shawwa, H. A., Maini, E. Industry 4.0 and big data: role of government in the advancement of enterprises in Italy and UAE // International Journal of Business Performance Management, 2020, Vol. 21, #3, pp. 261–289.
10. Van der Voort, H. G., Klievink, A. J., Arnaboldi, M., Meijer, A.J. Rationality and politics of algorithms. Will the promise of big data survive the dynamics of public decision making? // Government Information Quarterly, 2019, Vol. 36, #1, pp. 27–38.
11. Mari, S. I., Lee, Y. H., Memon, M. S., Park, Y. S., Kim, M. Adaptivity of complex network topologies for designing resilient supply chain networks // International Journal of Industrial Engineering, 2015, Vol. 22, #1, pp. 102–116
12. Ivanov, D., Dolgui, A., Sokolov, B., Ivanova, M. Literature review on disruption recovery in the supply chain // International Journal of Production Research, 2017, Vol. 55, #20, pp. 6158–6174.
13. Altay, N., Gunasekaran, A., Dubey, R., Childe, S.J. Agility and resilience as antecedents of supply chain performance under moderating effects of organizational culture within the humanitarian setting: a dynamic capability view // Production Planning & Control, 2018, Vol. 29, #14, pp. 1158–1174.
14. Li, L., Zhang, Q., Tian, J., Wang, H. Characterizing information propagation patterns in emergencies: A case study with Yiliang Earthquake // International Journal of Information Management, 2018, Vol. 38, #1, pp. 34–41.
15. Ivanov, D. Revealing interfaces of supply chain resilience and sustainability: a simulation study // International Journal of Production Research, 2018, Vol. 56, #10, pp. 3507–3523.
16. [Elleuch, H., Dafaoui, E., Elmhamedi, A., Chabchoub, H. Resilience and vulnerability in supply chain: literature review // IFAC-PapersOnLine, 2016, Vol. 49, #12, pp. 1448–1453.
17. Ivanov, D. Disruption tails and revival policies: A simulation analysis of supply chain design and production-ordering systems in the recovery and postdisruption periods // Computers & Industrial Engineering, 2019, Vol. 127, pp. 558–570.
18. Gupta, V., He, B., Sethi, S.P. Contingent sourcing under supply disruption and competition // International Journal of Production Research, 2015, Vol. 53, #10, pp. 3006–3027.
19. Sawik, T. Integrated selection of suppliers and scheduling of customer orders in the presence of supply chain disruption risks // International Journal of Production Research, 2013, Vol. 51, #23–24, pp. 7006–7022.
20. Knudsen, E. S., Lien, L. B., Timmermans, B., Belik, I., Pandey, S. Stability in turbulent times? The effect of digitalization on the sustainability of competitive advantage // Journal of Business Research, 2021, Vol. 128, pp. 360–369.
21. Hlady-Rispal, M., Fayolle, A., Gartner, W.B. In search of creative qualitative methods to capture current entrepreneurship research challenges // Journal of Small Business Management, 2021, Vol. 59, #5, pp. 887–912.
22. Chareonpanich, M., Kongkachuichay, P., Donphai, W., Mungcharoen, T., Huisingh, D. Integrated transdisciplinary technologies for greener and more sustainable innovations and applications of Cleaner Production in the Asia–Pacific region // Journal of Cleaner Production, 2017, Vol. 142, pp. 1131–1137.
23. Carriedo, A., Lock, K., Hawkins, B. Policy process and non-state actors’ influence on the 2014 Mexican soda tax // Health Policy and Planning, 2020, Vol. 35, #8, pp. 941–952.
24. Oliver, M.E. Pricing flexibility under rate-of-return regulation: Effects on network infrastructure investment // Economic Modelling, 2019, Vol. 78, pp. 150–161.
25. De Medeiros, J. F., Vidor, G., Ribeiro, J. L.D. Driving factors for the success of the green innovation market: A relationship system proposal // Journal of Business Ethics, 2018, Vol. 147, pp. 327–341.
26. Ghazali, E. M., Mutum, D. S., Javadi, H.H. The impact of the institutional environment and experience on social entrepreneurship: a multi-group analysis // International Journal of Entrepreneurial Behaviour & Research, 2021, Vol. 27, #5, pp. 1329–1350.
27. Pekovic, S., Grolleau, G., Mzoughi, N. Coopetition in innovation activities and firms’ economic performance: An empirical analysis // Creativity and Innovation Management, 2020, Vol. 29, #1, pp. 85–98.

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• lighting industry
• industry chain
• supply chain
• resilience
• safety level