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Comprehensive policy evaluation of NEV development in China, Japan, the United States, and Germany based on the AHP-EW model

Abstract As pressure on resources and the environment continues to intensify, the development of the automobile industry must maintain its momentum. At the same time, the demand for the transition of the national economy to a more sustainable style is increasing. Under such circumstances, the new energy vehicle industry has drawn increasing attention in China and abroad. This nascent industry requires supportive policies from the government for its success. The purpose of this study is to compare the similarities and differences of new energy vehicle-related policies for developing new energy vehicles in China, Japan, Germany, and the United States (U.S.). Based on the analytic hierarchy process-entropy weight method (i.e., AHP-EW model), a combination of subjectivity and objectivity, we adopt a quantitative method to appraise the new energy vehicle development situation in these four countries with a series of indexes, such as technological innovation, market development status, and infrastructure construction level. The results show that Germany is the strongest in terms of comprehensive measurements, followed by China, the U.S., and Japan. In this ranking, the U.S. shows the strongest technological innovation abilities; China is number one in marketing; and Japan is first in infrastructure construction.
- Beijing Institute of Technology China (People's Republic of)
- Beijing Institute of Technology China (People's Republic of)
- Southwestern University of Finance and Economics China (People's Republic of)
- Southwestern University of Finance and Economics China (People's Republic of)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).92 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
