The following is the New energy and new governance From The rise of data productivity recommended by recordtrend.com. And this article belongs to the classification: research report, Industry information, Ali Research Institute.
The development history of human society is a history of constantly rising productivity. With the emergence of new production tools, new labor subjects and new production factors, human beings have constantly constructed new models to understand and transform the world. After more than half a century of diffusion and popularization, the information technology revolution, which started in the 1950s, is pushing the social and economic development into a new era – the era of data productivity.
The rise of data productivity. In 2017, general secretary Xi Jinping pointed out that “in the era of Internet economy, data is a new factor of production, a basic resource and strategic resource, and also an important productive force”. Therefore, it is necessary to build a digital economy with data as the key element. In 2015, Premier Li Keqiang pointed out in his congratulatory message to Guiyang international big data industry expo that “a new round of technological and entrepreneurial revolution is booming in the world today. Data is a basic resource and an important productivity.”
In 2019, the Fourth Plenary Session of the 19th CPC Central Committee for the first time juxtaposed data with labor, capital, land, knowledge, technology, management and other production factors. In 2020, the CPC Central Committee and the State Council further proposed to “accelerate the cultivation of data factor market” in the “opinions on building a more perfect market-oriented allocation system and mechanism of factors” The basic, overall and leading role of data elements in the economic and social transformation and the competition between countries and enterprises has become increasingly prominent. At the same time, the hot and difficult issues surrounding data governance have also emerged rapidly in recent years. Data productivity has become a new driving force to support and lead economic and social development. At the same time, it also needs to build new governance concepts, theories, methods and models.
How to fully grasp the interactive mechanism of “technological innovation – Industrial Evolution – economic growth – institutional change” from the perspective of data, and how to deeply understand the role of data in the reconstruction of production relations and productivity are still a blank area to be systematically studied. In view of the urgent need to speed up the systematic research on data productivity, which is of great theoretical, policy and practical significance, since 2019, China informatization 100 people’s Association and Ali Research Institute have cooperated deeply with the theoretical and industrial circles, focused on practice and started from theory, and systematically carried out the research on data productivity for the first time. As the first report on this research topic, “the rise of data productivity: new drivers, new governance” is committed to building an analytical framework to lay the foundation for long-term and sustainable research.
The report first defines the definition and connotation of data productivity. According to the report, data productivity is the expansion of the theoretical system of productivity in the era of digital economy, and is a new interpretation and enrichment of the classic exposition of productivity based on the transformation of “data + algorithm + computing power” into the ability to transform the world. According to the report, data productivity is a new ability of knowledge creators to recognize, adapt and transform nature in the world defined by “data + computing power + algorithm” based on the new production factors of energy, resources and data with the help of intelligent tools.
The report further explains and analyzes the theme of data productivity from the aspects of industrial innovation, economic growth, organization and management, industrial division of labor, data operation, data assets, data governance, data property rights, government governance, data sovereignty, etc.
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