Abstract
This paper establishes a data envelopment analysis model to assess the sustainable development of energy in each state. At the same time, we use the principal component analysis method to select renewable energy indicators and form an evaluation system. Calculate and rank the clean renewable energy development index for each state and assess the development of clean energy in the four states. At the same time, we use the Corresponding analysis method, taking time and selected indicators as variables, and conducted a differentiated analysis of the development of energy indicators at each stage. Through a comprehensive analysis of indicators and factors such as the population, the geography, the climate, the industry, etc., we compared the development of each state, determined the choice of the best development area, and the similarities and differences between the development forecasts of the states in 2025 and 2050, and formulated proposal for faster and more effective development of the Intercontinental Union.
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Acknowledgments
This research received financial support from the National Natural Science Foundation of China (Grant #: 61462022), the National Key Technology Support Program (Grant #: 2015BAH55F04, Grant #:2015BAH55F01), Major Science and Technology Project of Hainan province (Grant #: ZDKJ2016015), Natural Science Foundation of Hainan province (Grant #:617062, Grant #:20156235), Scientific Research Staring Foundation of Hainan University (Grant #: kyqd1610).
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Dong, Y., Huang, M., Wu, D., He, X., Wang, Z., Bhatti, U.A. (2018). Study on the Development of U.S. Intercontinental Alliance Clean Renewable Energy Based on CA-DEA Model. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11065. Springer, Cham. https://doi.org/10.1007/978-3-030-00012-7_29
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DOI: https://doi.org/10.1007/978-3-030-00012-7_29
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