All publication are peer-review
Peer review will take the from of double-blind review Judge objectively and impartially
There is no conflict of interest for the reviewer
Review articles shall be kept strictly confidential prior to publication

Regional Science & Technology and Innovation

The Evaluation of Innovation Efficiency and an Analysis of Influ⁃ encing Factors of National High-tech Zone: Based on Three-stage DEA-Tobit Model Yang Qingsheng1 , Yang Tunan2 , Shen Zhigang3

（1.School of Cultural Tourism and Geography, Guangdong University of Finance and Economics, Guangzhou 510320, China. 2.School of Economics, Guangdong University of Finance and Economics, Guangzhou 510320, China; 3.School of Economic Management and Law, Jiangxi Normal University of Science and Technology, Nan⁃ chang 330038,China)

Abstract：In the context of China's increasingly prominent structural contradictions, innovation has become the first driving force for leading development. The national high-tech industrial development zone, as an important technological innovation, is also a powerful driving force for regional innovation and economic growth. At present, there are problems such as imbalanced re⁃ gional development, intensive resource constraints, and factor flowing in my country's national high-tech zone. The level of transformation of innovation inputs needs to be further improved. Evaluating the innovation efficiency of the national high-tech zone, and discussing how to im⁃ prove the innovation efficiency of the national high-tech zone is of great significance to promote the high-quality development of the high-tech zone. Based on 2011-2019, the innovation invest⁃ ment and innovative output data of 54 high-tech zones in China, as well as environmental vari⁃ able data from various regions, use the three-stage DEA model to study the time and space differ⁃ ences of innovation efficiency in China's high-tech zone and innovation efficiency before and af⁃ ter input adjustment. Use a fixed effect TOBIT model to study the impact of the high-tech zone input factors and its own environmental factors on innovation efficiency. The results of the study show that according to the three-stage DEA model, the traditional DEA model overestimates the innovation efficiency of the national high-tech zone, and the existence of environmental factors has particularly impact on the innovation efficiency of the high-tech zone in the west and north⁃ east China. Innovation efficiency is not caused by low scale efficiency. Innovation efficiency pres⁃ ents the characteristics of ladder-like distribution of "East> Middle> Northeast> West". The gap between the Northeast and West and the central and eastern regions is obvious. The level of inno⁃ vation efficiency in high -tech zones in various regions is manifested as Middle> East> Northeast > West. According to the return of SFA, the level of economic development and cultural educa⁃ tion level that affects the innovation efficiency of high -tech zones and the level of cultural and educational level is not conducive to the improvement of innovation efficiency of high-tech zones. According to the return of TOBIT, investment and environmental factors can promote the improvement of innovation efficiency. Among them, capital investment intensity, high-tech zone openness, and the promotion of the scale of high-tech zones are mainly due to the promotion of scale efficiency, and the quality of manpower investment quality. The profitability of the hightech zone is achieved by the common impact of scale efficiency and pure technical efficiency. On this basis, targeted proposals to improve the innovation efficiency of high -tech zones: high-tech zones in various regions adapt to local conditions to learn from each other; increase financial sup⁃ port, expand the financing channels of high-tech zones; strengthen the scale of high-tech zones, give full play to the effect of advantageous industrial clusters; guide the reasonable flow of inno⁃ vation resources and promote the coordinated development of high-tech zones. 

Key words: national high-tech zone; innovation efficiency; influencing factors; three-stage DEA-Tobit model