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Information and Communications Technology and Policy

Information and Communications Technology and Policy
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Current Issue

    • Development status and trend of data factor industry in China
    • YAN Shu, LYU Ailin, MA Wenda
    • Information and Communications Technology and Policy. 2024, 50(4): 2-8. DOI:10.12267/j.issn.2096-5931.2024.04.001
    • Abstract ( 246 ) HTML( 150 )   
    • Giving full play to the value of data factors and cultivating a prosperous data industry ecology are important supports. China’s data factor industry has a solid foundation, and the market has been initially established. Governments at all levels and various enterprises are actively exploring data that is “available”, “flowing”, “well used”, and “able to enter the balance sheet”, some progress has been made. With the continuous in-depth development of data factors, further breakthroughs are needed in areas such as data management, industry applications, the entire data industry chain, and the explicit value of data.

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    • Current situation and construction of basic data institutions from perspective of anti-monopoly in platform economy
    • LIU Zhipeng
    • Information and Communications Technology and Policy. 2024, 50(4): 9-17. DOI:10.12267/j.issn.2096-5931.2024.04.002
    • Abstract ( 64 ) HTML( 39 )   
    • In the process of China’s industrial transformation from digitization and networking to intelligence, data have become a new core production factor. Through a comprehensive analysis of the construction of data related institutions in major economies around the world and their competitive impacts, and from the perspective of anti-monopoly in platform economy, this study finds that basic data institutions can be built by using incentive compatibility as the design principle. To be specific, the risk of monopoly in platform economy can be weakened through data property rights institutions; the risk of exploitative abuse can be prevented through income distribution institution of data factor; the maximization of data circulation scale can be promoted through circulation and trading institution of data factor; the security risk of data monopoly can be prevented through governance institution of data factor.

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    • Regulatory predicament and solution for illegal data competition behavior
    • LYU Fusheng
    • Information and Communications Technology and Policy. 2024, 50(4): 18-23. DOI:10.12267/j.issn.2096-5931.2024.04.003
    • Abstract ( 65 ) HTML( 32 )   
    • The intervention of data elements in market competition has brought new challenges to regulation. The traditional anti-monopoly analysis framework is challenged by the argument of data constituting the essential facility, the difficulty of dividing relevant market, the difficulty of measuring market power and the unnecessary premise of abuse. The problems brought about by unfair data competition, as well as the difficulties in discretion and relief, have challenged the existing anti-unfair competition regulation paradigm. To scientifically regulate illegal data competition, it is necessary to identify behaviors in combination with data influence, interests involved, and reasonable exclusion factors, effectively coordinate the anti-monopoly and anti-unfair competition regulatory mechanisms, and enrich the regulatory means of legislation, justice, law enforcement and other dimensions.

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    • Analysis on the implementation path of data asset value
    • YANG Yunlong, GUO Zhongmei, ZHANG Liang, SUN Liang
    • Information and Communications Technology and Policy. 2024, 50(4): 24-33. DOI:10.12267/j.issn.2096-5931.2024.04.004
    • Abstract ( 216 ) HTML( 78 )   
    • The value of data assets is the core driving force leading the rapid development of the data factor market. Ownership confirmation, pricing and valuation, and innovative application value services are the key points that urgently need to be “overcome”. This article focuses on the concept of data assets, the influencing factors of data asset value, and deeply analyzes the implementation path of data asset value. Data asset evaluation is an important part of the process of data asset valuation, and its evaluation results directly affect the value and future returns of data assets. This article analyzes and compares the two models of the modified cost method and the multi-period excess earnings method. It also provides corresponding countermeasures and suggestions for the future development of data asset value.

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    • Reflection on the promotion of authorized operation of public data under the new trend
    • ZHANG Sirui
    • Information and Communications Technology and Policy. 2024, 50(4): 34-40. DOI:10.12267/j.issn.2096-5931.2024.04.005
    • Abstract ( 69 ) HTML( 38 )   
    • With the release of a series of policies in the field of public data, authorized operation, as an innovative mode for the development and utilization of public data resources in China, has attracted more and more attention. Based on research and practice, various localities, industries, and fields have actively carried out exploration with their own characteristics, and formed a development boom in the authorized operation of public data nationwide, and achieved remarkable results. However, there are still hidden problems in data resource supply, operation system construction, application scenario mining, and other aspects that affect the effectiveness of public data development and utilization. The fundamental reason is that several key difficulties have not yet been overcome in authorized operation. In order to further improve the development level of authorized operation, efforts should be made from the aspects of system mechanisms, implementation paths, operation platforms, diversified ecology, and effectiveness optimization to fully explore and release the value of public data.

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    • Risk assessment and prevention in the compliant circulation of data factors
    • WANG Xiaoqian
    • Information and Communications Technology and Policy. 2024, 50(4): 41-46. DOI:10.12267/j.issn.2096-5931.2024.04.006
    • Abstract ( 76 ) HTML( 47 )   
    • As a key production factor, data faces the challenge of compliant circulation in the age of digital economy. Focusing on this, this paper studies risk assessment and prevention and control measures for the compliant circulation of data factors. Although governments in China have introduced regulations such as the Data Security Law and Personal Information Protection Law to guide the compliant use of data, there are still many problems in privacy protection, data security, lagging regulations, the control of cross-border data flows, and the risks of new technologies. Therefore, this paper proposes a rigorous risk assessment scheme and gives corresponding strategies on compliance risks.

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    • Development and cultivation ideas for data element-based enterprises
    • HOU Ning
    • Information and Communications Technology and Policy. 2024, 50(4): 61-65. DOI:10.12267/j.issn.2096-5931.2024.04.009
    • Abstract ( 59 ) HTML( 47 )   
    • With the rapid development of the digital economy, the importance of data as a production factor has been fully recognized. Promoting the sustainable development of the data element market can provide significant support for economic and social development. Enterprises are the main body of industrial operation, and thus data element-based enterprises are the practitioners of data element production and circulation, as well as an important driver for market-oriented construction. How to encourage such enterprises to participate in the circulation and application of data elements, maximize the value of data elements, and enable more enterprises to engage in the development of the data industry chain are important topics that need to be addressed in the current process of promoting the construction of the data element market. This article provides references for the development direction of data element-based enterprises by analyzing the cultivation policies and implementation effects of enterprises that use special and sophisticated technologies to produce novel and unique products for data element-based enterprises in China.

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    • Theme evolution and research trend of data pricing:bibliometric analysis based on CiteSpace
    • LIANG Yanni, YOU Jianxin
    • Information and Communications Technology and Policy. 2024, 50(4): 66-78. DOI:10.12267/j.issn.2096-5931.2024.04.010
    • Abstract ( 47 ) HTML( 40 )   
    • Due to the significant importance of data pricing in promoting digital transformation of enterprises, building data element markets, and promoting sustainable economic development, CiteSpace bibliometric analysis software is used to focus on the theme evolution, trends, and historical background of data pricing research, using relevant research literature from China National Knowledge Infrastructure (CNKI) and Web of Science (WOS) databases as data sources. This paper conducts a quantitative analysis of authoritative domestic and foreign data pricing literature from 1993 to 2022. Research has found that from 1993 to 2022, research on data pricing both domestically and internationally has shown an overall fluctuating upward trend, with significant heat in the past three years. The research mode in foreign countries is mostly collaborative and shared research, while in China, it is mostly independent research, lacking collaborative research between research institutions and data suppliers. The research content in China focuses on the cost-effectiveness, fair trade, privacy ownership, etc. of data pricing, while abroad focuses on privacy security and protection, artificial intelligence algorithms, customer service quality, etc. of data pricing, all of which are closely related to the development of information technology. In the future, data pricing research will further focus on the “dual carbon” background, combining Environmental, Social and Governance (ESG) investment concepts, and laying out and expanding new perspectives.

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    • Research on mechanism and countermeasures of accelerating the process of industrial digitalization driven by data elements
    • LI XiaoLong, ZHANG Su, LYU Ailin
    • Information and Communications Technology and Policy. 2024, 50(4): 79-84. DOI:10.12267/j.issn.2096-5931.2024.04.011
    • Abstract ( 78 ) HTML( 53 )   
    • Currently, China has entered the era of digital economy. As a new kind of production resource, data elements are continuously accelerating industrial digitization in three dimensions: enterprise digital transformation and upgrading, industrial chain and supply chain digital transformation, and regional industrial structure optimization and upgrading. This further improves the industrial level and promotes value chain upgrading and has important value in accelerating new industrialization and promoting high-quality economic development. However, China’s data elements also face problems such as incomplete systems, inadequate infrastructure, insufficient development of application scenarios, and insufficient security supervision. In this regard, it is necessary to further accelerate the high-quality development of data elements in China, by focusing on the basic institutional environment, digital infrastructure, typical application scenarios, and data security guarantees. Besides, it is necessary to guide data elements to become a new engine for promoting industrial digitization.

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