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

Industrial Technology Progress

Provincial Difference, Obstacle Factor Diagnosis and Spatiotemporal Evolution Analysis of High-quality Development Level of China's High-tech Industry 

Shi Xiongtian1 , Yu Zhengyong1 , Xiao Yi1 , Chen Yang1 , Dai Lili2 

（1.School of Business Administration and Tourism Management, Yunnan University, Kunming 650500, China; 2. School of Business, University of Southampton, Southampton SO152UA, Britain）

Abstract: This paper delves into the high-quality development levels of China's high-tech in‐ dustries, with a particular focus on regional disparities, impediments, and their temporal and spa‐ tial evolution. Against the backdrop of a global technological revolution and industrial transfor‐ mation, high-tech industries play a crucial role in China's economic growth, international influ‐ ence, innovation, technological advancement, and national security. However, China's high-tech industries face challenges such as insufficient innovation capabilities, reliance on external core technologies, and uneven regional development. Current academic research on the high-quality development of China's high-tech industries primarily concentrates on development pathways and efficiency assessments, yet offers an incomplete reflection on the comprehensive evaluations of high-tech industries, particularly lacking in targeted regional studies and considerations of en‐ vironmental and social impacts. To more comprehensively assess the high-quality development level of provincial high-tech industries in China, this paper, based on the five development con‐ cepts of innovation, coordination, green, openness, and sharing, in conjunction with industrial scale, constructs an integrated evaluation system. This system encompasses multiple dimensions including innovation, openness, coordination, green development, sharing, and scale, thoroughly reflecting the high-quality development level of high-tech industries, covering aspects such as technological innovation, international cooperation, internal industry balance, socio-economic impacts, environmental governance, infrastructure sharing, and industrial scale. Furthermore,the paper distinguishes between specialized agglomeration, diversified agglomeration, and com‐ petitive agglomeration as the types of industrial clustering, providing new perspectives for under‐ standing the characteristics and demands of high-tech industries and contributing to industrial development theory. Methodologically, the study employs the entropy weight TOPSIS method to measure the development level of provincial high-tech industries and uses obstacle factor diag‐ nosis models, the Dagum Gini coefficient, and Markov chains to analyze the impediments to in‐ dustrial development and their temporal and spatial evolution. The results show that from 2014 to 2016, the high-quality development level of China's high-tech industries showed a declining trend, stabilizing after 2017. The eastern region has led the development level of high-tech in‐ dustries, with Guangdong Province ranking first, followed by eastern provinces such as Beijing, Jiangsu, Zhejiang, and Shanghai. In contrast, the development levels in the western and north‐ eastern regions are weaker, highlighting regional disparities. Specialized agglomeration, diversi‐ fied agglomeration, and competitive agglomeration rank among the top impediments to highquality development in high-tech industries, indicating that industrial clustering does not auto‐ matically translate into high-quality development under all circumstances. Spatial disparities primarily arise from differences between the four major regions, with inter-group differences and hyperbolic density being the main sources of overall disparity. The development level of hightech industries exhibits a club convergence phenomenon, where, under the spatial spillover ef‐ fect, the development levels of mid-low, mid-high, and high types are prone to "grade locking". In summary, this paper provides a comprehensive analysis of the current status, existing prob‐ lems, and temporal and spatial evolution of high-quality development in China's high-tech in‐ dustries, offering theoretical support and policy guidance for the high-quality development of high-tech industries in China. 

Key words: high-tech industry; high-quality development; entropy weight TOPSIS; obstacle factor diagnosis; Dagum gini coefficient; markov chain