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<mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-body-text-color\"> CXO UNION-CXO\u8054\u76df\uff08cxounion.cn\uff09<\/mark><\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img decoding=\"async\" src=\"http:\/\/cxounion.cn\/wp-content\/uploads\/2023\/06\/CXOUNION\u65b0\u4e8c\u7ef4\u7801.png\" alt=\"\"\/><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u7ffb\u8bd1\uff1a<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Data Factor Market and Digital Industry Development &#8212; Jiang Xiaojuan, Huang Yiping, Liu Shouying, Tang Ke<\/h3>\n\n\n\n<p>Recently, the 2024 China Digital Economy Development and Governance Academic Conference was successfully held at Tsinghua University. This article is about &#8220;data factor market and the development of digital industry&#8221; speech summary, for you to sort out the speeches of professors Jiang Xiaojuan, Huang Yiping, Liu Shouying, Tang Ke.<\/p>\n\n\n\n<p>Feng Gengzhong, Dean of the School of Management of Xi &#8216;an Jiaotong University, presided over the meeting. Under the background of digital economy era, it is of great significance to explore the data factor market and the development of digital industry to build the international competitiveness of China in the digital economy era. The conference was honored to invite a number of experts and scholars to deliver speeches and in-depth discussions around &#8220;data factor market and digital industry development&#8221;, bringing the latest research results and cutting-edge thinking in the field.<\/p>\n\n\n\n<p>Jiang Xiaojuan, Chairman of the presidium of the annual meeting and former Deputy Secretary-General of The State Council, gave a wonderful speech and shared on the topic of Innovation in the Digital Age and its impact on economic research. Professor Jiang Xiaojuan pointed out that the innovation in the digital era has undergone significant changes at all levels of innovation source, innovation subject and innovation organization. The ability of data generation, transmission and processing has been significantly improved, and data has become an important source of driving innovation, which is conducive to solving known complex problems, revealing unknown complex relationships, correcting scientific research directions in real time, insight and empowerment of granulation scenarios, bringing new opportunities and challenges to the research of related disciplines. Scientific research paradigm has undergone experimental observation, theoretical deduction, computational simulation, and data-driven, while innovation paradigm and scientific research paradigm are converging, the most important reason is that the research problems of both can be reduced to &#8220;data&#8221;. For example, the self-learning mechanism in AlphaFold2 demonstrated the efficiency of data-driven solutions to known complex problems in predicting the three-dimensional structure of proteins, greatly enhancing the ability to solve known scientific problems. Examples such as high-performance computing methods for high-precision molecular dynamics simulation, Google GNoME prediction of inorganic crystal structures, and digital health through multidimensional complex particle data analysis to provide personalized treatment solutions illustrate different aspects of important changes in the data-driven innovation paradigm.  <mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-body-text-color\"> CXO UNION-CXO\u8054\u76df\uff08cxounion.cn\uff09<\/mark><\/p>\n\n\n\n<p>Compared with previous innovation paradigms, first of all, large platforms are not only the source of data generation, but also the subject of multiple capabilities. With the support of scale emergence rules, they have a prominent position and determine the innovation process of the whole society to a considerable extent. Second, open innovation organizations are conducive to the aggregation of heterogeneous and diverse data and various resources, and have become the mainstream innovation organization form with increasing importance. The above characteristics create new uncertainties while improving innovation efficiency, which may cause changes in market structure and welfare distribution that are inconsistent with the &#8220;reasonable state&#8221;. Scholars in the fields of humanities and social sciences should maintain continuous attention and in-depth research on this issue to better ensure that scientific and technological progress is beneficial to human well-being and social equity.<\/p>\n\n\n\n<p>Professor Huang Yiping, dean of the National School of Development of Peking University and director of the Digital Finance Research Center of Peking University, gave a wonderful speech and shared on the topic of &#8220;Data Asset entry should be gradual&#8221;. Professor Huang Yiping pointed out that data and digital technologies play a central role in the development of new quality productivity. For emerging market countries, the efficient use of data elements can open up new paths of economic growth and provide a new way to catch up. How to turn the existing data output or digital footprint into data elements that can have an effect on economic activities is a very complex process, involving multiple factors such as policy, market, and technology.<\/p>\n\n\n\n<p>At present, data asset entry has become a hot topic in economic and financial innovation. There are already listed companies actively responding, using different forms of data assets into the balance sheet. Nevertheless, some studies have preliminatively found that the capital market has a lukewarm response to data assets entering the table, and investors may not yet realize the importance of data assets entering the table, which may be due to the uncertainty of the value of data assets, so they take a wait-and-see attitude. As data assets enter the balance sheet, there are several issues of concern. One is how the value of data assets is measured in the market; Second, under the &#8220;separation of three powers&#8221;, it is necessary to clearly define the corresponding proportion of rights and interests of enterprises and other relevant entities; Third, data valuation methods such as cost method, income method and market value method need to be further discussed in order to achieve accurate evaluation and trading of data assets. Also consider the possible risks of data entry into the table. In addition, public data should serve the public interest, rather than become a financing tool for urban investment companies, so as not to hinder the healthy development of the data factor market. The entry of data assets into the table should be gradual. The value assessment of data assets should be carried out by authoritative or third-party institutions to avoid market confusion caused by self-identification. The improvement of policy framework, accounting standards and market rules is the guarantee of data assets. The utilization of data elements and data assets are equivalent to developing a new element asset, and at the same time, opening up a new market, which is conducive to economic growth. It is necessary to balance innovation and risk, ensure the reasonable evaluation and utilization of data assets, avoid the negative consequences brought by rash, prevent potential risks, and promote the effective use of data elements and the development of the digital economy.  <mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-body-text-color\"> CXO UNION-CXO\u8054\u76df\uff08cxounion.cn\uff09<\/mark><\/p>\n\n\n\n<p>Professor Liu Shouying, Secretary-General of the National Digital Economy Professional Degree Graduate Education Committee and Dean of the School of Economics of Renmin University of China, gave a wonderful speech and shared on the topic of &#8220;Political Economy in the Era of Digital Civilization&#8221;. From the perspective of political economy, Professor Liu Shouying pointed out that in the context of the era when the digital economy has become a new engine, it is very important to understand the change of the entire social formation. This round of digital technology revolution from the beginning of the 21st century to the present digitalization and intelligence, is expected to bring human beings into a new form of digital civilization, with six typical characteristics.  <mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-body-text-color\"> CXO UNION-CXO\u8054\u76df\uff08cxounion.cn\uff09<\/mark><\/p>\n\n\n\n<p>First, technology drives. In the era of digital civilization, it is difficult to meet the growing spiritual needs of human beings only by relying on material production, and knowledge creation has become the key to social progress. AI upends traditional methods of knowledge production and may fully participate in human decision-making. Although digital technology innovation has transformed into productivity, disruptive innovation and large-scale application are insufficient, and basic research and applied research need to be strengthened. Second, data becomes the core production factor of digital civilization. The combination of data and other elements creates huge economic benefits. Although data has played a certain role in economic activities, many questions remain to be answered, such as the measurement of economic value, the status of factors, and the path of transforming resources into capital. Third, platforms have become the primary way of organizing in the digital civilization. The organizational model of platform economy, the governance ability of virtual space and the adjustment of market government relations have become the key issues at the institutional level. Fourth, the space of economic activity is virtual space. Compared with the form of industrial civilization, various activities of various economic subjects are gradually turning to virtual space, and the realization and governance of virtual space are facing challenges. Fifth, the value judgment standard and the social system arrangement have changed. The relationship between the market and the state is supposed to change fundamentally in the age of digital civilization. Therefore, the construction of the system, including how to define the property rights of data, how to realize the market of data elements, value and ability are the problems that need to be studied. While discussing the importance of data for growth, ethical issues, values and equity issues should be discussed in parallel. Sixth, AI participates in or even replaces human thinking and decision-making. In the age of digital civilization, the human brain is &#8220;robotized&#8221; and the machine is &#8220;humanized&#8221;. The relationship between AI decision-making and human decision-making, the evolution of human decision-making patterns, and the nature of AI decision-making still need to be studied in depth.<\/p>\n\n\n\n<p>Professor Tang Ke, Professor of Economics, School of Social Sciences, Tsinghua University and Dean of Zhishun Academy, gave a wonderful speech and shared on the topic of &#8220;Trusted Circulation of Data Elements&#8221;. Professor Tang Ke pointed out that &#8220;credibility&#8221; accounts for a large proportion in data, and data is often connected with two concepts, one is development, the other is regulation, or security, among which credibility is a very important point of supervision and security, so my research is about starting from credibility. However, there are a lot of pain points related to trustworthiness in the data flow. For example, the unlimited replication of data, non-standardized characteristics and information asymmetry lead to the loss of trust between the two parties. These problems not only affect the healthy development of the data market, but also can lead to market failure. Building a trusted data circulation environment becomes the key.<mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-body-text-color\">  CXO UNION-CXO\u8054\u76df\uff08cxounion.cn\uff09<\/mark><\/p>\n\n\n\n<p>The issue of trust in data can be viewed at two levels. The first level is &#8220;can be Trusted&#8221;, that is, trust at the technical level. There is also Trustable, which implements &#8220;verify first, then trust&#8221; by means of verification. Related technologies are based on cryptography, blockchain, etc., to ensure data encryption, tamper-proof, and verifiable trust. The other level is Trustworthy, which is the study of economics. Through economic contracts, legal supervision, institutional ratings and other ways to build a trustworthy institutional environment. But I think we should look at the issue of trust from a more comprehensive perspective, and propose a TIME framework for the trusted flow of data, It includes data trusted circulation Technology (Technology), data trusted circulation Institution (Institution), data trusted circulation Model (Model), and trusted evaluation and supervision (Examination). While the latter three are institutional, not technical, they are more important because of the massive flow of data that cannot be solved by technology. Among them, there are many kinds of institutions related to data, such as data element enterprises, data exchanges, data brokers, and data Spaces, which are all data institutions. If these institutions can be trusted, a large number of trust problems can be solved in the transaction process. Model is the mode of data circulation, including public data authorization operation, economic contract, data trust, etc. Finally, the regulation in the field of data circulation involves the supervision of data providers, data users, data trading institutions, and data trading products, as well as combating illegal activities that are traded on the black market. The four perspectives of technology, institution, model and supervision are conducive to a more comprehensive understanding of the theoretical problem of data trust.<\/p>\n\n\n\n<p class=\"has-text-align-center has-cyan-bluish-gray-color has-text-color has-extra-small-font-size\">\u672c\u6587\u7531<a href=\"http:\/\/cxounion.cn\">CXO UNION-CXO\u8054\u76df\uff08cxounion.cn\uff09<\/a>\u8f6c\u8f7d\u800c\u6210\uff0c\u6765\u6e90\u4e8e\u6d66\u6c5f\u6570\u636e\u4ea4\u6613\u4e4b\u58f0\u7efc\u5408\u6574\u7406\u81ea\u6e05\u534e\u670d\u52a1\u7ecf\u6d4e\u4e0e\u6570\u5b57\u6cbb\u7406\u7814\u7a76\u9662\uff1b\u7f16\u8f91\/\u7ffb\u8bd1\uff1aCXO UNIONCXO\u8054\u76df\u5c0fU\u3002<\/p>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size\">\u5982\u9700\u52a0\u5165<a href=\"http:\/\/weixin.qq.com\/r\/fxJxaVHE1AyrrRUK90dt\">CXO UNION\uff08CXO\u8054\u76df\uff09<\/a>\u9ad8\u7ba1\u793e\u7fa4\uff0c\u8bf7\u8054\u7cfb\u793e\u7fa4\u5c0f\u4f19\u4f34\u54e6~<\/p>\n\n\n\n<figure class=\"wp-block-image 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