期刊文献+

贵州省的大数据产业发展比较优势研究

Research on the Comparative Advantages of Big Data Industry Development in Guizhou Province
下载PDF
导出
摘要 后发地区要促进新兴产业的发展以实现后发赶超,必须依据自身发展的特点和类型,充分发挥比较优势。作为典型的后发地区,大数据时代的来临为贵州省提供了机遇,自国家大数据综合试验区设立以来,其充分利用生态环境优势、能源资源优势、区位优势、政策优势、竞争优势创造能力,走出了具有贵州特色的后发赶超道路。同时贵州省发展大数据产业也存在着缺乏完整的大数据产业生态系统、缺少大数据生态系统中的领军企业、缺乏深度挖掘数据价值的基础设施和技术手段、缺乏大数据产业发展的相关人才的制约因素。贵州省要实现持续发展,应利用政策红利优势,坚持政府推动和市场主导相结合;不断创新竞争优势,拓宽投融资渠道;依托产业园区平台优势,推进高科技人才集聚;发挥综合优势,创新大数据产业发展。 In order to promote the development of emerging industries to achieve the catch-up, the late-developing areas must give full play to their comparative advantages according to the characteristics and types of their own development. As a typical late-developing region, the advent of the era of big data has provided opportunities for Guizhou Province. Since the establishment of the National Big Data Comprehensive Pilot Zone, it has made full use of its advantages in ecological environment, energy and resources, location, policy and competitive advantages, and walked out of the road of catching up with Guizhou characteristics. At the same time, the development of big data industry in Guizhou Province is also constrained by the lack of a complete big data industry ecosystem, the lack of leading enterprises in the big data ecosystem, the lack of infrastructure and technical means for deep mining data value, and the lack of talents related to the development of big data industry. In order to achieve sustainable development, Guizhou Province should take advantage of policy dividends, adhere to the combination of government promotion and market dominance;constantly innovate competitive advantages and broaden investment and financing channels;promote the gathering of high-tech talents based on the advantages of industrial park platform, and give full play to the comprehensive advantages to innovate the development of big data industry.
作者 张叶
出处 《现代管理》 2023年第3期264-272,共9页 Modern Management
  • 相关文献

参考文献14

二级参考文献125

共引文献786

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部