Intelligence Information System for Automation Process Of Growing Tea Plantation

Mammadov, Javanshir; Abbasova, Gulnara

doi:10.4172/2329-9533.1000128

Cited by 1 publication

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“…Papahristodoulou [3] conducted research and analysis on Korean auto companies and used DEA to evaluate the efficiency of technological innovation for all types of Korean auto companies. Mammadov and Abbasova [4] took many international companies such as the United States and Japan as the research object and used the measurement method of fuzzy theory to study their technological innovation efficiency. Fang and Sui [5] conducted indepth research and analysis with the new energy automobile industry as the research body.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the Technology Innovation Efficiency of China’s Listed New Energy Vehicle Enterprises

Chen

Feng

Lin

et al. 2021

Mathematical Problems in Engineering

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As a new industry, the healthy development of new energy vehicle industry is of great significance for effectively solving environmental problems and energy crises. The purpose of this study was to analyze the technological innovation process of China’s new energy vehicle enterprises and construct the evaluation index system of technology innovation efficiency of China’s new energy vehicle enterprises and SBM model-based network DEA model from the two aspects of technology research and development stage and achievement transformation stage. The overall technological innovation efficiency and staged efficiency of 16 listed new energy vehicle enterprises in China were measured and combined with the Malmquist Index Model. The technical change and efficiency change of 16 listed new energy vehicle enterprises in China, spanning from 2012 to 2018, were analyzed. The results show that the average overall efficiency of technological innovation of 16 new energy automobile companies is 0.5515, and the standard deviation is 0.2341. It reflects the low overall efficiency of technological innovation of Chinese new energy vehicle enterprises and the uneven development and the huge gap between different enterprises. From 2012 to 2018, the M index is less than 1, and the technical level change (TC) has a greater negative impact on the M index.

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Section: Literature Reviewmentioning

confidence: 99%