创新科技2024，Vol.24Issue(2)：56-70,15.DOI:10.19345/j.cxkj.1671-0037.2024.2.5
我国高技术产业高质量发展水平省域差异、障碍因子诊断及时空演变分析
Provincial Difference,Obstacle Factor Diagnosis and Spatio-temporal Evolution Analysis of High-quality Development Level of China's High-tech Industry
摘要
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 high-quality 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 high-tech 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.关键词
高技术产业/高质量发展/熵权TOPSIS/障碍因子诊断/Dagum基尼系数/马尔科夫链Key words
high-tech industry/high-quality development/entropy weight TOPSIS/obstacle factor diagnosis/Dagum gini coefficient/markov chain分类
管理科学引用本文复制引用
施雄天,余正勇,肖懿,陈阳,戴丽莉..我国高技术产业高质量发展水平省域差异、障碍因子诊断及时空演变分析[J].创新科技,2024,24(2):56-70,15.基金项目
国家社会科学基金项目"中国城市群的溢出效应时空演变与战略深化研究"(18CJY013) （18CJY013）
2024年度云南省教育厅科学研究基金项目"城乡融合下民宿产业集群赋能乡村振兴的逻辑与长效机制构建研究"(2024Y077) （2024Y077）
云南大学科研基金项目"数智异化下PaaS企业的创新生态系统治理研究"(KC3233830). （KC3233830）
