«上一篇/Previous Article|本期目录/Table of Contents|下一篇/Next Article»

《长安大学学报（社科版）》[ISSN:1671-6248/CN:61-1391/C]

卷:

期数:

2024年03期

页码:

32-46

栏目:

经济学

出版日期:

2024-06-10

文章信息/Info

Title:

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

文章编号:

1671-6248(2024)03-0032-15

作者:

朱东波; 杨志丽

(厦门大学 马克思主义学院,福建 厦门 361005)

Author(s):

ZHU Dongbo;  YANG Zhili

(School of Marxism, Xiamen University, Xiamen 361005, Fujian, China)

关键词:

“数据要素×; ”;  数智化;  工业绿色发展;  乘数效应;  数据安全;  工业大数据

Keywords:

“data element ×; ”;  digital intelligence;  industrial green development;  multiplier effect;  data security;  industrial big data

分类号:

F426; F403.3

DOI:

-

文献标志码:

A

摘要:

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。

Abstract:

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challenges confronting China's industrial green development transformation, including inefficient resource allocation, outdated green production technologies, and suboptimal energy utilization, there is a pressing need to actively advance the construction of industrial digital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.

参考文献/References:

[1] 习近平.全面推进美丽中国建设 加快推进人与自然和谐共生的现代化[N].人民日报,2023-07-19(1).
[2]朱东波,任力.环境规制、外商直接投资与中国工业绿色转型[J].国际贸易问题,2017(11):70-81.
[3]王磊,李吉,王兴启.数字经济对城市经济绿色转型的影响研究——基于集聚经济的实证分析[J].城市问题,2023(4):76-86.
[4]张建锋,肖利华,许诗军.数智化:数字政府、数字经济与数字社会大融合[M].北京:电子工业出版社,2022.
[5]朱东波,张相伟.数字金融通过技术创新促进产业结构升级了吗?[J].科研管理,2023(7):73-82.
[6]刘华珂,李旭超,聂禾,等.AI时代:城市数智化转型与企业创新[J].中国软科学,2024(2):38-54.
[7]戴翔,杨双至.数字赋能、数字投入来源与制造业绿色化转型[J].中国工业经济,2022(9):83-101.
[8]周茜.数字经济对制造业绿色发展的影响与机制研究[J].南京社会科学,2023(11):67-78.
[9]DI K,CHEN W,SHI Q,et al.Digital empowerment and win-win co-operation for green and low-carbon industrial development: analysis of regional differences based on GMM-ANN intelligence models[J].Journal of cleaner production,2024(12):1-20.
[10]魏丽莉,侯宇琦.数字经济对中国城市绿色发展的影响作用研究[J].数量经济技术经济研究,2022(8):60-79.
[11]曹裕,李想,胡韩莉,等.数字化如何推动制造企业绿色转型?——资源编排理论视角下的探索性案例研究[J].管理世界,2023(3):96-112,126.
[12]WANG X,QIN C,LIU Y,et al.Emerging enablers of green low-carbon development: do digital economy and open innovation matter?[J].Energy economics,2023(11):1-11.
[13]金祥义,张文菲.人工智能与企业污染减排:智能治理的环境效应[J].中国人口·资源与环境,2023(8):138-145.
[14]ZHOU W,ZHUANG Y,CHEN Y.How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology[J].Energy economics,2024(3):1-13.
[15]SRIVASTAVA P R,MANGLA S K,EACHEMPATI P,et al.An explainable artificial intelligence approach to understanding drivers of economic energy consumption and sustainability[J].Energy economics,2023(9):1-21.
[16]吕越,马明会,陈泳昌,等.人工智能赋能绿色发展[J].中国人口·资源与环境,2023(10):100-111.
[17]FENG C,LI X Y,YANG J.How does artificial intelligence affect the transformation of China's green economic growth? an analysis from internal-structure perspective[J].Journal of environmental management,2024(3):1-18.
[18]YIN S,YU Y.An adoption-implementation framework of digital green knowledge to improve the performance of digital green innovation practices for industry 5.0[J].Journal of cleaner production,2022(34):1-24.
[19]DEMERTZIS M,MERLER S,WOLFF G B.Capital markets union and the fintech opportunity[J].Journal of financial regulation,2018(1):157-165.
[20]朱东波,张相伟.数字金融通过技术创新促进产业结构升级了吗?[J].科研管理,2023(7):73-82.
[21]白雪洁,孙献贞.互联网发展影响全要素碳生产率:成本、创新还是需求引致[J].中国人口·资源与环境,2021(10):105-117.
[22]林宇豪,陈英葵.数字经济与产业结构升级——基于要素流动视角下的空间计量检验[J].商业经济研究,2020(9):172-175.
[23]姚璐,王书华,王小腾.数字赋能中国经济绿色转型研究——基于“宽带中国”试点政策的准自然实验[J].中南财经政法大学学报,2023(2):131-145.
[24]习近平.高举中国特色社会主义伟大旗帜 为全面建设社会主义现代化国家而团结奋斗——在中国共产党第二十次全国代表大会上的报告[M].北京:人民出版社,2022.
[25]李政,张怡,赵哲.数字经济与工业绿色转型——基于科技创新的中介效应和门槛效应[J].工业技术经济,2023(10):3-16.
[26]冯曦明,龙彦霖.数字经济能否助推工业绿色转型?——基于PSDM及PTR模型的实证研究[J].财会研究,2022(8):72-80.
[27]李军林,陆树檀,路嘉明.推动数据流通交易:要素市场细分和基础制度建设[J].学术研究,2023(11):81-89,177.
[28]曹长帅,郑琼.数字经济对工业绿色转型的驱动效应[J].中国流通经济,2023(9):34-50.
[29]陈毅,华蕊.国家安全体系和能力现代化视域下数据安全治理的困境及突围路径[J].学习与探索,2023(12):41-47.

相似文献/References:

[1]欧阳日辉.发挥“数据要素×”效应的逻辑与路径[J].长安大学学报(社科版),2024,(02):19.
　OUYANG Rihui.Logic and pathways to harness the “data element ” effect[J].Journal of Chang＇an University(Social Science Edition),2024,(03):19.
[2]张会平,李晓利.“数据要素”视域下公共数据授权运营生态系统的培育路径[J].长安大学学报(社科版),2024,(03):60.
　ZHANG Huiping,LI Xiaoli.Authorized operation of public data in the perspective of “data element ”[J].Journal of Chang＇an University(Social Science Edition),2024,(03):60.
[3]曾祥明,胡元,张秋月.“数据要素”赋能农民持续增收的机理、效应与优化策略研究[J].长安大学学报(社科版),2024,(03):76.
　ZENG Xiangming,HU yuan,ZHANG Qiuyue.Research on the mechanisms, effects, and optimization strategies of empowering the continuous increase of farmers' income with “data element ”[J].Journal of Chang＇an University(Social Science Edition),2024,(03):76.
[4]任诗婷,曾燕.数据要素乘数效应的内涵与实现逻辑[J].长安大学学报(社科版),2024,(02):38.
　REN Shiting,ZENG Yan.Connotation and implementation logic of the multiplier effect of data elements[J].Journal of Chang＇an University(Social Science Edition),2024,(03):38.
[5]李勇坚.“数据要素×”赋能制造业:理论逻辑与实现路径[J].长安大学学报(社科版),2024,(02):54.
　LI Yongjian.“Data element ” empowers manufacturing industry:theoretical logic and implementation path[J].Journal of Chang＇an University(Social Science Edition),2024,(03):54.
[6]王磊.从“数据要素×”看中国数智化的法治路径[J].长安大学学报(社科版),2024,(02):71.
　WANG Lei.Looking at China's rule of law path to digital intelligence from the perspective of “data element ”[J].Journal of Chang＇an University(Social Science Edition),2024,(03):71.
[7]徐亮,文婧,朱禹臣,等.“数据要素×”背景下大宗商品价格风险监管[J].长安大学学报(社科版),2024,(02):82.
　XU Liang,WEN Jing,ZHU Yuchen,et al.Commodity price risk supervision in the context of “data element ”[J].Journal of Chang＇an University(Social Science Edition),2024,(03):82.
[8]欧国立,王俊伟.“数据要素×”背景下交通领域新基建投融资分析[J].长安大学学报(社科版),2024,(02):98.
　OU Guoli,WANG Junwei.Analysis of new infrastructure investment and financing in the transportation field in the context of “data element ”[J].Journal of Chang＇an University(Social Science Edition),2024,(03):98.
[9]任力,章阳.“数据要素”背景下文化产业数字化转型的理论逻辑、现实问题与对策[J].长安大学学报(社科版),2024,(03):17.
　REN li,ZHANG Yang.Theoretical logic, practical problems, and coping strategies of digital transformation of cultural industry in the context of “data element ”[J].Journal of Chang＇an University(Social Science Edition),2024,(03):17.
[10]陈升,张岸.数据要素在现代经济中引领创新发展的作用机制与挑战[J].长安大学学报(社科版),2024,(03):47.
　CHEN Sheng,ZHANG An.Functioning mechanisms and challenges of data elements in leading innovation in modern economy[J].Journal of Chang＇an University(Social Science Edition),2024,(03):47.

备注/Memo

备注/Memo:

收稿日期:2024-02-10
基金项目:教育部人文社会科学基金青年项目(22YJC790169); 福建省习近平新时代中国特色社会主义思想研究中心年度项目(FJ2023XZB001)
作者简介:朱东波(1989-),男,河南开封人,副教授,经济学博士。

常用功能

更新日期/Last Update: 2024-06-10