|Table of Contents|

Logic and pathways to harness the “data element ×” effect(PDF)

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

Issue:
2024年02期
Page:
19-37
Research Field:
经济学·“数据要素×”研究
Publishing date:
2024-04-20

Info

Title:
Logic and pathways to harness the “data element ×” effect
Author(s):
OUYANG Rihui
(China Internet Economy Research Institute, Central University of Finance and Economics, Beijing 100081, China)
Keywords:
data resource;  “data element ×; ”;  multiplier effect;  digital economy;  “Internet +”;  application scenario
PACS:
F49; F124
DOI:
-
Abstract:
In recent years, China's digital economy has achieved remarkable progress, with data emerging as a novel factor of production. To align with the trajectory of digital economy evolution, the National Data Administration and other relevant authorities have issued the “Data Element ×” Three-Year Action Plan(2024—2026). Effectively unleashing the potential of “data element ×” effect has become pivotal for fostering high-quality development in the digital economy. By delving into the conceptualization of “data element ×” and examining both the micro-level mechanisms and macro-level logic of its multiplier effect, this paper studies the pathways for realizing this multiplier effect. The analysis reveals that “data element ×” transitions from mere connectivity to synergistic collaboration, from singular use to efficient reuse, and from isolated overlays to seamless integration. Its operational mechanisms entail optimizing synergies, enhancing efficiency through reuse, and fostering innovation through integration. Effective utilization of data, including its supply, flow, and utilization, serves as the bedrock for unleashing the multiplier effect. This involves processes such as data factorization, scenario development, and asset creation. Adherence to demand-driven approaches, application in public data scenarios, utilization of big data theories and technologies, and the enrichment of public data value creation modes are imperative for realizing the potential of “data element ×”. Furthermore, it is also vital to diversify the supply modes of enterprise and personal data, explore mechanisms for unified data exchange and collaboration between government and enterprises, and establish adaptive data resource supply systems that align with the intrinsic characteristics and value realization of data elements; actively cultivate application-oriented digital enterprises, accelerate the advancement of “cloud solutions for digital empowerment”, foster deeper integration of digital technologies with the real economy, and create exemplars of data integration and application; increase collaborative research between academia and industry, promote collaborative innovation across government, industry, academia, research, and application sectors, and advance fundamental theoretical research innovation on data elements.

References:

[1] 中共中央 国务院关于构建更加完善的要素市场化配置体制机制的意见[EB/OL].(2020-04-10)[2024-01-18].https://www.cac.gov.cn/2020-04/10/c_1588063865383470.htm?from=groupmessage.
[2]中共中央 国务院关于构建数据基础制度更好发挥数据要素作用的意见[EB/OL].(2022-12-19)[2024-01-18].https://www.gov.cn/zhengce/2022-12/19/content_5732695.htm.
[3]国家数据局.国家数据局等部门关于印发《“数据要素×”三年行动计划(2024—2026年)》的通知[EB/OL].(2024-01-04)[2024-01-18].https://www.cac.gov.cn/2024-01/05/c_1706119078060945.htm.
[4]蔡跃洲,马文君.数据要素对高质量发展影响与数据流动制约[J].数量经济技术经济研究,2021(3):64-83.
[5]白永秀,李嘉雯,王泽润.数据要素:特征、作用机理与高质量发展[J].电子政务,2022(6):23-36.
[6]刘烈宏.激活数据要素价值——在第25届北大光华新年论坛上的发言(2024年1月7日)[EB/OL].(2024-01-08)[2024-01-18].https://new.qq.com/rain/a/20240108A05PI500.
[7]欧阳日辉,李涛.构建以数据为关键要素的数字经济[J].新经济导刊,2023(1):8-19.
[8]蔡继明,刘媛,高宏,等.数据要素参与价值创造的途径——基于广义价值论的一般均衡分析[J].管理世界,2022(7):108-121.
[9]CONG L W,XIE D,ZHANG L.Knowledge accumulation,privacy,and growth in a dataeconomy[J].Management science,2021(10):5969-6627.
[10]徐翔,赵墨非.数据资本与经济增长路径 [J].经济研究,2020(10):38-54.
[11]张晓翀.“数据要素×”三年行动怎么干,国家数据局最新发声[N/OL].新京报,(2023-12-29)[2024-01-08].https://www.bjnews.com.cn/detail/1703836392129698.html.
[12]唐要家,唐春晖.数据要素经济增长倍增机制及治理体系[J].人文杂志,2020(11):83-92.
[13]杨俊,李小明,黄守军.大数据、技术进步与经济增长——大数据作为生产要素的一个内生增长理论[J].经济研究,2022(4):103-119.
[14]徐野,田聪,刘满凤,等.数据要素对经济增长的影响效应研究[J].统计与决策,2024(6):121-125.
[15]欧阳日辉,刘昱宏.数据要素倍增效应的理论机制、制约因素与政策建议[J].经济纵横,2024(3):3-18.
[16]安筱鹏.数据生产力的崛起[C]//.李纪珍,钟宏.数据要素领导干部读本.北京:国家行政管理出版社,2021:27-28.
[17]国务院关于积极推进“互联网+”行动的指导意见[EB/OL].(2015-07-01)[2024-01-08].https://www.gov.cn/gongbao/content/2015/content_2897187.htm?eqid=8c9859260018397d000000026462e1ee.
[18]国家互联网信息办公室发布《数字中国发展报告(2022年)》[EB/OL].(2023-05-23)[2024-01-08].https://www.cac.gov.cn/2023-05/22/c_1686402318492248.htm.
[19]2023数字经济高质量发展大会在杭召开[EB/OL].(2024-01-16)[2024-01-18].https://zjic.zj.gov.cn/ywdh/szfg/202401/t20240115_21482739.shtml.
[20]中国移动研究院.畅通数据资源大循环关键问题研究[EB/OL].(2023-04-18)[2024-01-08].https://www.digitalelite.cn/h-nd-6248.html.
[21]于霄.算法辅助决策中意思自治的重构[J].东方法学,2022(3):33-42.
[22]王钺.通过数据要素的乘数效应为实体经济赋能[EB/OL].(2024-01-19)[2024-01-20].https://www.hunan.gov.cn/topic/hnsz/szynzx/202402/t20240217_32861268.html.
[23]王建冬,童楠楠.数字经济背景下数据与其他生产要素的协同联动机制研究[J].电子政务,2020(3):22-31.
[24]高平.从“单乘”到“连乘”,释放数据要素乘数效应的三条路径[EB/OL].(2024-03-27)[2024-03-28].http://www.zcyj-sh.com/newsinfo/6978573.html.
[25]聚焦数据要素场景突破:2024未来数商大会在杭州举办[EB/OL].(2024-04-18)[2024-04-18].http://www.wzs.org.cn/sjzs/news?id=16649.
[26]吴亚楠.数据交易行业发展报告:2023年中国数商企业数量超过100万家[EB/OL].(2023-11-26)[2024-01-08].https://www.chinairn.com/scfx/20231126/205158335.shtml.
[27]钟经文.国家数据局今日正式揭牌,数字经济发展再提速[EB/OL].(2023-10-26)[2024-01-08].https://cn.chinadaily.com.cn/a/202310/26/WS653a0961a310d5acd876bf51.html.
[28]国家工业信息安全发展研究中心,北京大学光华管理学院,苏州工业园区管理委员会,等.中国数据要素市场发展报告(2021～2022)[R/OL].(2023-10-26)[2024-01-08].https://docs.qq.com/pdf/DYkt1SFBKZ0dIZHd0?.
[29]综合开发研究院.新发展格局下数字经济发展战略研究[EB/OL].(2021-11-17)[2024-01-08].https://www.peopledata.com.cn/html/NEWS/zhanyixindongtai/2392.html.

Memo

Memo:
-
Last Update: 2024-04-20