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Cloud Computing, Cross-Border Data Flows and New Challenges for Measurement in Economics

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  • Coyle, Diane
  • Nguyen, David

Abstract

When economists talk about ‘measurement’ they tend to refer to metrics that can capture changes in quantity, quality and distribution of goods and services. In this paper we argue that the digital transformation of the economy, particularly the rise of cloud computing as a general-purpose technology, can pose serious challenges to traditional concepts and practices of economic measurement. In the first part we show how quality-adjusted prices of cloud services have been falling rapidly over the past decade, which is currently not captured by the deflators used in official statistics. We then discuss how this enabled the spread of data-driven business models, while also lowering entry barriers to advanced production techniques such as artificial intelligence or robotic-process-automation. It is likely that these process innovations are not fully measured at present. A final challenge to measurement arises from the fragmentation of value chains across borders and increasing use of intangible intermediate inputs such as intellectual property and data. While digital technologies make it very easy for these types of inputs to be transferred within or between companies, existing economic statistics often fail to capture them at all.

Suggested Citation

  • Coyle, Diane & Nguyen, David, 2019. "Cloud Computing, Cross-Border Data Flows and New Challenges for Measurement in Economics," National Institute Economic Review, National Institute of Economic and Social Research, vol. 249, pages 30-38, August.
  • Handle: RePEc:cup:nierev:v:249:y:2019:i::p:r30-r38_12
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    Cited by:

    1. Shuaitao Jiao & Qiubi Sun, 2021. "Digital Economic Development and Its Impact on Econimic Growth in China: Research Based on the Prespective of Sustainability," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    2. Jin Li & Wei Xiao & Chong Zhang, 2023. "Data security crisis in universities: identification of key factors affecting data breach incidents," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-18, December.
    3. Theile, Philipp & Farag, Markos & Kopp, Thomas, 2022. "Does information substitute or complement energy? - A mediation analysis of their relationship in European economies," VfS Annual Conference 2022 (Basel): Big Data in Economics 264123, Verein für Socialpolitik / German Economic Association.
    4. Hui Feng & Yirong Li & Renyan Mu & Lei Wu, 2023. "The Impact of Investment Efficiency in the Digital Economy on Urban Waste Reduction: Evidence from China," Sustainability, MDPI, vol. 15(24), pages 1-15, December.

    More about this item

    JEL classification:

    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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