|Table of Contents|

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

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

Issue:
2024年03期
Page:
32-46
Research Field:
经济学
Publishing date:
2024-06-10

Info

Title:
Research on the mechanisms, paths and policies of digital intelligence empowering industrial green development transformation in the context of “data element ×”
Author(s):
ZHU Dongbo;  YANG Zhili
(School of Marxism, Xiamen University, Xiamen 361005, Fujian, China)
Keywords:
“data element ×; ”;  digital intelligence;  industrial green development;  multiplier effect;  data security;  industrial big data
PACS:
F426; F403.3
DOI:
-
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challenges confronting China's industrial green development transformation, including inefficient resource allocation, outdated green production technologies, and suboptimal energy utilization, there is a pressing need to actively advance the construction of industrial digital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.

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Last Update: 2024-06-10