Abstract
With the increasing scarcity of fossil energy such as petroleum and the increasingly urgent requirements for ensuring energy security and protecting the ecological environment, the development of renewable and clean energy has become a common consensus and concerted action among countries and regions in the world. The proposal of China’s marine power and the “One Belt, One Road” initiative, as well as the advantages of ocean energy itself, has made ocean energy equipment manufacturing face unprecedented development opportunities. In order to improve the capabilities of ocean energy development and utilization, it is necessary to comprehensively improve the development level of ocean energy equipment manufacturing in various regions of China to provide efficient, stable and reliable ocean energy equipment support. This paper uses the projection pursuit method and the stochastic frontier model to analyze and process the panel data of nine coastal provincial administrative regions from 2008 to 2015, and calculate the regional development efficiency of marine energy equipment manufacturing in each region, and influence the regional development efficiency The main factors are further analyzed. The research results show that there are differences in the regional development efficiency of China’s marine energy equipment manufacturing, and there is more room for improvement; the level of industrial interconnection and government financial support are the main influencing factors for the rapid development of regional marine energy equipment manufacturing.
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References
Jing, S., Jinhua, C., Zhihui, L., et al.: Research on the international competitiveness of China’s renewable energy products in the context of the belt and road initiative. China Soft Sci. 7, 21–38 (2018)
Qayyum, F., Jamil, F., Ahmad, S., Kim, D.H.: Hybrid renewable energy resources management for optimal energy operation in nano-grid. Comput. Mater. Continua 71(2), 2091–2105 (2022)
Karimulla, S., Ravi, K.: Integration of renewable energy sources into the smart grid using enhanced SCA. Intell. Autom. Soft Comput. 32(3), 1557–1572 (2022)
Rezk, H., Fathy, A., Aly, M., Ibrahim, M.N.F.: Energy management control strategy for renewable energy system based on spotted hyena optimizer. Comput. Mater. Continua 67(2), 2271–2281 (2021)
Almekhlafi, M.A., et al.: Performance analysis of photovoltaic systems and energy return on the environment economy. Intell. Autom. Soft Comput. 32(1), 557–571 (2022)
Teslyuk, V., Tsmots, I., Kazymyra, I., Teslyuk, T.: Methods for the efficient energy management in a smart mini greenhouse. Comput. Mater. Continua 70(2), 3169–3187 (2022)
Roche, R.C., et al.: Research priorities for assessing potential impacts of emerging marine renewable energy technologies: insights from developments in Wales (UK). Renew. Energy 99, 1327–1341 (2016)
Christophe, M., Mark, H.: The impact of the MARINET initiative on the development of Marine Renewable Energy. Int. J. Mar. Energy 12, 77–86 (2015)
Yajie, Z., Qiang, Z., Wenjia, Z.: Development status and development roadmap of ocean energy power generation technology. Electr. Power 51(3), 94–99 (2018)
Wei, C., Wen, Z., Yifu, L., et al.: Research on the network structure and risks of industry-University-Research Cooperation Innovation—taking the ocean energy industry as an example. Sci. Sci. Manag. S. T. 9, 59–66 (2014)
Hongbing, P., Shanshan, W., Changlei, M.: Study on the spatial layout of China’s Marine Energy Industry. J. Ocean Technol. 4, 88–94 (2017)
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Ma, R., Du, H., Meng, F., Zhu, D. (2022). Research on Regional Development Efficiency and Influencing Factors of China’s Ocean Energy Equipment Manufacturing. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13339. Springer, Cham. https://doi.org/10.1007/978-3-031-06788-4_30
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DOI: https://doi.org/10.1007/978-3-031-06788-4_30
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