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An Industry-Based Estimation Approach for Measuring the Cloud Economy

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  • Christopher Hooton

Abstract

The usage of cloud computing technology in business and daily life has grown rapidly in recent years. However, measurement and research on the impacts of that usage remain relatively scarce and new. The current paper examines the economic contributions of cloud technology by estimating the size of the 'cloud economy' in the United States. The author uses input from cloud industry experts and product line receipt details to identify specific commercial receipts related to the cloud industry. The author then uses an adapted input-output methodology previously employed by other groups examining the size of the technology sector to estimate the economic size of the cloud in terms of Output, Earnings, Employment, Value-Added, Direct-Effect Earnings, and Direct-Effect Employment. The estimates are simply a starting point for measuring the economic size of the cloud, but they compare favorably with other estimates from industry groups and private parties. The key advantage of the current paper is the detailing of a replicable approach to use in future research including a discussion of the identification criteria used by the consulting experts.

Suggested Citation

  • Christopher Hooton, 2020. "An Industry-Based Estimation Approach for Measuring the Cloud Economy," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-03, Economic Statistics Centre of Excellence (ESCoE).
    • Handle: RePEc:nsr:escoed:escoe-dp-2020-03
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    References listed on IDEAS

    as
    1. Diane Coyle & David Nguyen, 2018. "Cloud Computing and National Accounting," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-19, Economic Statistics Centre of Excellence (ESCoE).
    2. David Byrne & Carol Corrado & Daniel Sichel, 2020. "The Rise of Cloud Computing: Minding Your Ps, Qs and Ks," NBER Chapters, in: Measuring and Accounting for Innovation in the Twenty-First Century, pages 519-551, National Bureau of Economic Research, Inc.
    3. Oecd, 2013. "Electronic and Mobile Commerce," OECD Digital Economy Papers 228, OECD Publishing.
    4. Gordon, Robert J., 2018. "Declining American economic growth despite ongoing innovation," Explorations in Economic History, Elsevier, vol. 69(C), pages 1-12.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Lichao Lin & Adrian Cheung, 2022. "Cloud economy and its relationship with China’s economy—a capital market-based approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-22, December.

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    More about this item

    Keywords

    Cloud computing; digital economy; national accounts; economic estimates;
    All these keywords.

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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