Title: Path of Total Factor Productivity of Strategic Emerging Industries in Shaanxi Province based on DEA-Malmquist Index and Fluctuation Data Analysis
Abstract: As China's economic development enters the "new normal", production efficiency and innovation level are directly related to the upgrading of traditional industries and the growth of emerging industries. Total factor production is an important guarantee to improve national competitiveness, and how to build an effective financing environment is the key to promote innovation and entrepreneurship so as to improve total factor productivity. In the short term, the extensive mode of growth accelerated the process of industrialization in China and improved the total industrial output value. But in the long run, because of the limited resources, the extensive growth mode restricts the sustainable development of China's industry. Therefore, China must change the extensive mode of industrial growth to the intensive mode and realize the sustainable development of industry. The DEA-Malmquist index method can analyze the efficiency changes in different years and make up for the defects of static model analysis. Volatility is an important measure to quantify the process of fluctuation. The risk in the financial market is usually manifested as the fluctuation of the price of financial assets or other factors in the market, and the risk diffusion also spreads and diffuses through the correlation fluctuation between assets. Therefore, this paper studies the total factor production model of emerging industries based on the analysis of fluctuation data and DEA-Malmquist index.
Publication Year: 2021
Publication Date: 2021-04-08
Language: en
Type: article
Indexed In: ['crossref']
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