| With the boom in big data and artificial intelligence,businesses and their customers are generating data all the time and data-related industries are becoming more and more numerous,leading to a rapid growth in the volume and scale of data.In particular,the new crown epidemic that has ravaged the world since the early 2020 s has fuelled the rapid development of contactless service models for internet companies and further propelled the high volume of data.In recent years,China has elevated the development of the digital economy to the level of a national strategy,and building a digital China and smart society and creating a new national competitiveness is an important task at hand.In this context,a number of enterprises have completed their digital transformation and have accumulated rich data assets.However,the development of data assets has not been recorded in the accounts,and there are no relevant accounting standards for data assets to guide enterprises in accounting,which reduces the reliability and relevance of accounting information.As data assets are significantly different from traditional assets and there is a lack of international experience in accounting for data assets,the issue of accounting for data assets has been a popular and controversial research topic in recent years.This paper presents a study on the much-needed practical issue of accounting for data assets.Firstly,it reviews the existing relevant literature and sorts out the insights of scholars on issues related to enterprise data assets from different perspectives.On this basis,the core concepts of this paper are defined and the theoretical basis of this research is analysed;secondly,an overview of enterprise data assets in China is introduced,the scale of data assets of listed companies in China is roughly estimated and the difficulties in accounting for data assets are put forward;again,this paper takes Eastmoney as an example and analyses the profit model and core competitiveness of Eastmoney by analysing the revenue composition of Eastmoney,and Then,this paper further analyses the causes and consequences of the unrecorded data assets of Oriental Wealth,and designs an accounting scheme for the data assets of Oriental Wealth,from the account setting of data assets accounting to accounting recognition,from the selection of measurement attributes of data assets to initial and subsequent measurement,from the disclosure of data assets in the table to the accounting treatment in the notes to the statements.Finally,the conclusions of this study are summarised.Firstly,in practice,there are large scale data assets in Chinese enterprises but they are not reflected in the accounting information system;secondly,data assets have different characteristics from other assets of enterprises and should be listed separately in the accounting information;thirdly,a model accounting treatment for enterprise data assets is proposed.A model treatment scheme for accounting.As this paper was almost completed,the Ministry of Finance promulgated the Interim Provisions on Accounting Treatment Related to Enterprise Data Resources(Exposure Draft),so additional arguments were made on the differences between the draft and the claims made in this paper,and a brief analysis of the impact of the introduction of the draft was made,in the hope that the analysis in this paper would provide assistance to the improvement of the accounting treatment of enterprise data assets. |
