工业技术经济2026，Vol.45Issue(10)：27-49,23.DOI:10.3969/j.issn.1004-910X.2026.10.003
AI多维赋能资源型城市转型:产业升级、社会治理与绿色低碳的协同路径
Multi-dimensional Enablement of Transformation of Resource-based Cities with AI:A Collaborative Path of Industrial Upgrading,Social Governance and Green Low-carbon Development
摘要
Abstract
Resource-based cities should embrace AI development by combining an effective market with a capable govern-ment,strengthening AI scientific and technological innovation,actively advancing the"AI+"Initiative,and fostering a healthy e-cosystem where diverse entities coexist and thrive.This effort concerns not only transforming resource advantages into development advantages and laying a solid foundation for green transformation,but also cultivating new forms of the intelligent economy and ex-panding the scale of intelligent economy industries.More importantly,it concerns smart urban governance and advancing the mod-ernization of the urban governance system and governance capacity.Therefore,resource-based cities must take the guiding princi-ples from General Secretary Xi Jinping's important speeches as the fundamental guideline and implement the Opinions of the State Council on Further Implementing the"AI+"Initiative.Acting in light of local conditions,they should build an LLM API aggrega-tion platform,develop new-type infrastructure,apply the new development philosophy and advance green transition,identify new governance challenges to realize smart governance,develop computing power clusters to promote industrial transformation and upgra-ding,raise the intelligence level of industrial chains and drive industrial carbon emission reduction and efficiency gains,unleash the potential of artificial intelligence across all scenarios,and blaze a new path for transformation and development through intelli-gent development.关键词
大模型/API聚合平台/现代化产业体系建设/低碳转型/市域社会治理/产业升级/降碳增效/资源型城市Key words
large language models/LLM API aggregation platform/modern industrial system development/low-carbon transition/municipal social governance/industrial upgrading/carbon emission reduction and efficiency improvement/resource-based cities分类
管理科学引用本文复制引用
刘元胜,丁泓茗,李克,张成甦,温慧,赵烨霞,李秋月,乔万泉,鲁子楠..AI多维赋能资源型城市转型:产业升级、社会治理与绿色低碳的协同路径[J].工业技术经济,2026,45(10):27-49,23.基金项目
国家社会科学基金一般项目"我国农业数字化转型发展的理论阐释与实施路径研究"(项目编号:24BJL092). 海南省"南海新星"教育平台项目"思政引领·文化铸魂·数字赋能:新商科课程群'大思政'育人体系创新与实践"(项目编号:JYNHXX2023-20G) （项目编号:24BJL092）
2026年海南省哲学社会科学规划课题"'向数图强'视域下海南数据与算力市场协同机制研究"(项目编号:HNSK(YB)26-17) （项目编号:HNSK(YB）
海南省高等学校教育教学改革研究项目"基于'三链三通'的国际商务专业硕士人才培养模式构建与实践"(项目编号:Hnjg2025ZC-96). 2025年度内蒙古自治区哲学社会科学规划项目"民族地区经济高质量发展与铸牢中华民族共同体意识互促共进研究"(项目编号:2025NDB171). 2025年国家社科基金一般项目"欠发达地区分层分类帮扶财政政策调整研究"(项目编号:25BZZ069). （项目编号:Hnjg2025ZC-96）
