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A study of the economic impact of data centres on the nation’s growth and development

Zhang, Shoucheng (2022): A study of the economic impact of data centres on the nation’s growth and development. Published in: Techno Xplore Jurnal Ilmu Komputer dan Teknologi Informasi , Vol. 3, No. 4 (24 December 2022): pp. 21-28.

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Abstract

Economic growth and development of the nation as a whole is greatly influenced by the development and growth of the data centers. At both a national and international level, data centers contribute to the growth of the economy for the benefit of citizens. The result of this is that governments are able to increase their competitiveness, ease of doing business, contribute to the growth of their economies, and attract investors to their countries, as a result of this. Data centers are widely used and re-used throughout the economy, which highlights the importance of data as a new form of capital for 21st century knowledge driven economies, and more specifically, the re-use of data centers within the economy, which highlights the importance of data as a new form of capital for 21st century knowledge driven economies. The fact that data centers are capable of being re-used for a theoretically unlimited range of purposes means that they cannot be depleted at all because they can never run out of use. In the event that data centers are repurposed for the purpose of generating opportunities for growth, or generating benefits for society on a large scale that could not have been imagined when the data centers were first created, then the result may be positive spill-over effects. Governments can enhance their reputation by investing in Data Centers and initiatives but they can also be able to drive innovation across the economy by taking data-driven decisions that enhance their reputation as well. By making data available as well as sharing it, spillover benefits may also be created, since the availability and sharing of data may enable "super-additive" insights that may be greater than the sum of insights derived from isolated parts (data silos), allowing data to be used more efficiently.

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