“数据要素×”背景下数智化赋能工业绿色发展转型的机制、路径与政策研究

Research on the mechanisms,paths and policies of digital intelligence empowering industrial green development transformation in the context of“data element×”

针对当前中国工业绿色发展转型过程面临的资源配置不合理、绿色生产技术落后以及能源利用率较低等现实困境,要积极推进工业数智基础设施建设,着力推动传统工业绿色化改造升级,加快培育发展绿色新产业、新业态、新模式,精准把握绿色新需求引导工业绿色发展转型。为更好发挥数智化绿色发展效应,在分析数智化促进工业绿色发展转型理论机制基础上,探究“数据要素×”背景下数智化赋能工业绿色发展转型的实践路径与政策保障。研究发现,以“数字化发展+智能化升级”为核心的数智化转型,加速数据、资本、劳动等要素运动、融合、集聚,通过不断优化资源要素配置、推动绿色融合创新、促进绿色供需有效衔接以及全场景绿色智慧运营等机制,助推工业绿色发展转型。研究表明,从政策层面发挥数据要素乘数效应助力数智化更好赋能工业绿色发展转型,应以加快建立跨区域、跨领域、跨行业大数据中心为基础,以深化经济体制机制市场化绿色化改革为核心,以加强工信、互联网、环境等跨部门协同合作为保障,以建立多层次、全方位、立体化数据安全体系为底线。

Given the practical challenges confronting China's industrial green development transformation,including inefficient resource allocation,outdated green production technologies,and suboptimal energy utilization,there is a pressing need to actively advance the construction of industrial digital intelligence infrastructure,facilitate the green transformation and upgrading of traditional industries,expedite the cultivation and development of new green industries,business formats,and models,and precisely understand emerging green demands to steer the trajectory of industrial green development.To harness the green development potential of digital intelligence,this paper delves into the theoretical mechanisms underlying how digital intelligence fosters industrial green development transformation,and explores practical paths and policy frameworks to empower this transformation in the context of“data element×”.The study reveals that digital and intelligent transformation,anchored in“digital development+intelligent upgrading”,accelerates the flow,integration,and clustering of data,capital,labor,and other elements.It propels industrial green development transformation through mechanisms such as constantly optimizing resource allocation,driving green integration innovation,facilitating effective connections between green supply and demand,and enabling comprehensive green smart operations in all scenarios.Research underscores that leveraging the multiplier effect of data elements to enhance digital intelligence's role in industrial green development transformation in the policy level requires prioritizing the establishment of cross-regional,cross-sector,and cross-industry big data centers,focusing on deepening the marketization and green reforms of economic systems and mechanisms,enhancing interdepartmental collaboration among industry,information technology,the Internet,and environmental sectors as institutional backing,and establishing a multi-tiered,comprehensive,and robust data security system as a foundational imperative.