Research on Dynamic Evolutionary Efficiency and Regional Differentiation of High-Tech Industrial Chain Networks

Lihui Chen, Qiqi Xiao, Jianlin Wang and Zhong Fang ()
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Lihui Chen: School of Marxism, Putian University, Putian 351100, China
Qiqi Xiao: School of Economics, Fujian Normal University, Fuzhou 350117, China
Jianlin Wang: School of Finance, Fujian Business University, Fuzhou 350506, China
Zhong Fang: School of Economics, Fujian Normal University, Fuzhou 350117, China

Sustainability, 2023, vol. 15, issue 24, 1-23

Abstract: This research dynamically evaluates the innovation efficiency of China’s high-tech industry and explores the efficiency differences in basic innovation, application innovation, and income innovation of this industry for different regions. Based on panel data of 30 provinces from 2015 to 2019, we construct a three-stage dynamic DDF (Directional Distance Function) model, divide the high-tech industry into three stages and measure the efficiency of the three stages. From 2015 to 2019, most of the total efficiency of China’s high-tech industries showed an upward trend, with the western region having the highest total efficiency value and the central region the lowest. Most of the 30 provinces present basic innovation efficiency < applied innovation efficiency < profitable innovation efficiency. The conclusions from the article’s empirical analysis can help developing countries concerned find out key links to improve the efficiency of high-tech entrepreneurship and innovation and then formulate relevant industrial policies.

Keywords: high-tech industry innovation efficiency; DEA model; three-stage network; dynamic efficiency (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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