大数据税务问题

H. Yoon
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摘要

大数据是用数据生成和分析大量有价值的数据,最近与人工智能和物联网融合发展起来。收集海量数据,谁能更细致地分析和利用这些数据的大数据技术,已经成为决定企业或国家竞争力的时代。大数据的经济价值日益增加,企业不仅在国内交易中利用大数据,而且在国际交易中也利用大数据创造利润。我想研究如何解决大数据产生的利润征税问题。对于大数据的征税,重要的是要了解大数据的法律性质,它与数据相连,这是大数据的根源。因此,我们试图通过数据的法律性质来理解大数据的法律性质。目前还没有大数据的法律概念,但随着最近《数据产业法》的颁布,数据的法律概念已经确立。《数据产业法》规定了与数据的生产、流通、交易、利用相关的活动以及为创造经济附加值而提供这些服务的数据产业。从《数据产业法》的角度来看,大数据可以包含在《数据产业法》下的数据概念中,也可以理解为相同的概念。《数据产业法》承认数据具有经济价值,即数据本身是一种资产,但税法或企业会计准则并没有明确确定数据中包含哪种资产。这可能会导致对大数据征税的问题。因此,既然《数据产业法》规定数据或大数据具有财产性质,那么在税法中通过承认相关法律规定的性质,将数据视为无形资产和商品是合理的,并根据这一概念设定税基。另一方面,随着第四产业的发展,大数据有望增加国内和国际交易。特别是,由于各国对大数据的税收标准没有明确规定,因此,由于各国税法的不足,大数据的国际交易将出现税收管辖权问题。在目前的情况下,税法从无形资产的角度来解释数据,大数据的国际交易也被视为无形资产的国际交易,因此似乎除了征税别无选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data Taxation Issues
Big data is the generation and analysis of valuable data in large quantities with data, and has recently been developed through convergence with artificial intelligence and the Internet of Things. Big data technology, in which a vast amount of data is collected and who can more elaborately analyze and utilize the collected data, has become an era that determines the competitiveness of a company or country. The economic value of big data is increasing day by day, and companies are generating profits by using big data not only in domestic transactions but also in international transactions. I wanted to study how to solve the problem of taxation on profits generated by big data. As for the taxation of big data, it is important to understand the legal nature of big data, and it is connected to data, which is the root of big data. Therefore, we tried to understand the legal nature of big data through the legal nature of data. Currently, there is no legal concept for big data, but the legal concept of data has been established with the recent enactment of the Data Industry Act. The Data Industry Act stipulates activities related to production, distribution, transaction, and utilization of data and the data industry that provides these services in order to create economic added value. From the perspective of the Data Industry Act, big data can be included in the concept of data under the Data Industry Act or understood as the same concept. The Data Industry Act recognizes that data has economic value, that is, data itself as an asset, but the tax law or corporate accounting standards do not clearly determine which asset is included in data. This can lead to problems with taxation of big data. Therefore, since data or big data is stated to have property under the Data Industry Act, it would be reasonable to regard data as intangible assets and goods by recognizing the nature set forth in the relevant laws in the tax law, and the tax base should be set according to that concept. On the other hand, as the 4th industry develops, big data is expected to increase domestic and international transactions. In particular, since the taxation standards for big data are not clearly defined for each country, international transactions of big data will appear as a problem of tax jurisdiction due to deficiencies in tax laws in each country. In the current situation, tax law interprets data from the perspective of intangible assets, and international transactions of big data are also regarded as international transactions of intangible assets, so it seems that there is no choice but to be taxed.
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