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Is R&D helpful for China’s energy technology and engineering industry to respond to external uncertainties?

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  • Zhou, Wei
  • Chen, Jin

Abstract

As a core driving force of many industries in China, energy supply is significant for China’s economic growth. However, as an old Chinese saying, to do a good job, one must sharpen his device. The energy technology and engineering (ETE) industry should also be focused because it provides advanced technology and equipment to obtain energy resources and improve energy efficiency. Therefore, this paper analyzes China’s listed ETE enterprises by evaluating their overall performance in two hierarchies namely operation management and stock performance. By proposing a double hierarchy network model, the two important hierarchies are integrated. Also, the endogenous R&D elasticity for the listed ETE enterprises is investigated. After that, we develop the double hierarchy network with an exogenous disturbance model to generally discuss external impacts on the ETE industry. It is found that the enterprises which are more potential to catch the opportunities to make them survived in the fierce competition when being affected by external uncertainties also show positive endogenous R&D elasticity. They perform also stably in the recent 5 years. Further, we provide the strategies from the perspectives of ETE managers and investors who are interested in this industry. For ETE managers, the strategies are different according to their specific enterprises’ situations. Besides, we recommend certain enterprises as investment choices with or without considering any external factors that could impact the ETE industry. More significantly, since specific external uncertainties are difficult to be identified, the exogenous disturbance is generally discussed in this research.

Suggested Citation

  • Zhou, Wei & Chen, Jin, 2021. "Is R&D helpful for China’s energy technology and engineering industry to respond to external uncertainties?," Energy, Elsevier, vol. 226(C).
    • Handle: RePEc:eee:energy:v:226:y:2021:i:c:s0360544221005818
    DOI: 10.1016/j.energy.2021.120332
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    as
    1. Sudhir M. Bobde & Makoto Tanaka, 2018. "Efficiency evaluation of electricity distribution utilities in India: A two-stage DEA with bootstrap estimation," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(9), pages 1423-1434, September.
    2. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    3. Kondziella, Hendrik & Bruckner, Thomas, 2016. "Flexibility requirements of renewable energy based electricity systems – a review of research results and methodologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 10-22.
    4. Yang, Dong-xiao & Chen, Zi-yue & Nie, Pu-yan, 2016. "Output subsidy of renewable energy power industry under asymmetric information," Energy, Elsevier, vol. 117(P1), pages 291-299.
    5. Du, Weijian & Li, Mengjie & Wang, Faming, 2020. "Role of rent-seeking or technological progress in maintaining the monopoly power of energy enterprises: An empirical analysis based on micro-data from China," Energy, Elsevier, vol. 202(C).
    6. Lin, Boqiang & Jia, Zhijie, 2018. "The energy, environmental and economic impacts of carbon tax rate and taxation industry: A CGE based study in China," Energy, Elsevier, vol. 159(C), pages 558-568.
    7. Alzahrani, Mohammed & Lasfer, Meziane, 2012. "Investor protection, taxation, and dividends," Journal of Corporate Finance, Elsevier, vol. 18(4), pages 745-762.
    8. Yu, Feifei & Guo, Yue & Le-Nguyen, Khuong & Barnes, Stuart J. & Zhang, Weiting, 2016. "The impact of government subsidies and enterprises’ R&D investment: A panel data study from renewable energy in China," Energy Policy, Elsevier, vol. 89(C), pages 106-113.
    9. Ma, Ding & Fei, Rilong & Yu, Yongsheng, 2019. "How government regulation impacts on energy and CO2 emissions performance in China's mining industry," Resources Policy, Elsevier, vol. 62(C), pages 651-663.
    10. Liangfeng Zhu & Xueyi Zhu, 2019. "Energy policy, market environment and the economic benefits of enterprises: evidence from China’s petrochemical enterprises," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 113-127, January.
    11. Hsiang-Hsi Liu, 2018. "Applying three-stage DEA on the operational performance of foreign banks in Taiwan," International Review of Applied Economics, Taylor & Francis Journals, vol. 32(1), pages 104-118, January.
    12. Haoran Zhao & Huiru Zhao & Sen Guo, 2018. "Operational Efficiency of Chinese Provincial Electricity Grid Enterprises: An Evaluation Employing a Three-Stage Data Envelopment Analysis (DEA) Model," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    13. Sterlacchini, Alessandro, 2012. "Energy R&D in private and state-owned utilities: An analysis of the major world electric companies," Energy Policy, Elsevier, vol. 41(C), pages 494-506.
    14. He, Feng & Zhang, Qingzhi & Lei, Jiasu & Fu, Weihui & Xu, Xiaoning, 2013. "Energy efficiency and productivity change of China’s iron and steel industry: Accounting for undesirable outputs," Energy Policy, Elsevier, vol. 54(C), pages 204-213.
    15. Zhang, Jianling & Wang, Guoshun, 2008. "Energy saving technologies and productive efficiency in the Chinese iron and steel sector," Energy, Elsevier, vol. 33(4), pages 525-537.
    16. Zhang, Huiming & Zheng, Yu & Ozturk, U. Aytun & Li, Shanjun, 2016. "The impact of subsidies on overcapacity: A comparison of wind and solar energy companies in China," Energy, Elsevier, vol. 94(C), pages 821-827.
    17. Yue Liu & Siming Liu & Xueying Xu & Pierre Failler, 2020. "Does Energy Price Induce China’s Green Energy Innovation?," Energies, MDPI, vol. 13(15), pages 1-18, August.
    18. Vaninsky, Alexander, 2006. "Efficiency of electric power generation in the United States: Analysis and forecast based on data envelopment analysis," Energy Economics, Elsevier, vol. 28(3), pages 326-338, May.
    19. Wang, Qunwei & Hang, Ye & Sun, Licheng & Zhao, Zengyao, 2016. "Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 254-261.
    20. Anton, Sorin Gabriel & Afloarei Nucu, Anca Elena, 2020. "The effect of financial development on renewable energy consumption. A panel data approach," Renewable Energy, Elsevier, vol. 147(P1), pages 330-338.
    21. Zhang, Lingxian & Wang, Jieqiong & Wen, Haojie & Fu, Zetian & Li, Xinxing, 2016. "Operating performance, industry agglomeration and its spatial characteristics of Chinese photovoltaic industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 373-386.
    22. Komendantova, Nadejda & Patt, Anthony, 2014. "Employment under vertical and horizontal transfer of concentrated solar power technology to North African countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 1192-1201.
    23. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    24. Xiao, Xu & Chen, Zi-Rui & Nie, Pu-Yan, 2020. "Analysis of two subsidies for EVs: Based on an expanded theoretical discrete-choice model," Energy, Elsevier, vol. 208(C).
    25. Kong, Dongmin & Yang, Xiandong & Xu, Jian, 2020. "Energy price and cost induced innovation: Evidence from China," Energy, Elsevier, vol. 192(C).
    26. Owen, A. & Mitchell, G. & Gouldson, A., 2014. "Unseen influence—The role of low carbon retrofit advisers and installers in the adoption and use of domestic energy technology," Energy Policy, Elsevier, vol. 73(C), pages 169-179.
    27. Mohammed Atris, Amani, 2020. "Assessment of oil refinery performance: Application of data envelopment analysis-discriminant analysis," Resources Policy, Elsevier, vol. 65(C).
    28. Yao, Xin & Huang, Ruting & Du, Kerui, 2019. "The impacts of market power on power grid efficiency: Evidence from China," China Economic Review, Elsevier, vol. 55(C), pages 99-110.
    29. Liu, Hongxun & Du, Kerui & Li, Jianglong, 2019. "An improved approach to estimate direct rebound effect by incorporating energy efficiency: A revisit of China's industrial energy demand," Energy Economics, Elsevier, vol. 80(C), pages 720-730.
    30. Li, Hai-ling & Zhu, Xue-hong & Chen, Jin-yu & Jiang, Fei-tao, 2019. "Environmental regulations, environmental governance efficiency and the green transformation of China's iron and steel enterprises," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    31. Filippou, Dimitrios & King, Michael G., 2011. "R&D prospects in the mining and metals industry," Resources Policy, Elsevier, vol. 36(3), pages 276-284, September.
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