Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-28T19:24:57.418Z Has data issue: false hasContentIssue false

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

Published online by Cambridge University Press:  01 January 2020

Diane Coyle
Affiliation:
University of Cambridge; Economic Statistics Centre of Excellence (ESCoE)
David Nguyen*
Affiliation:
National Institute of Economic and Social Research; ESCoE

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.

Type
Research Articles
Copyright
Copyright © 2019 National Institute of Economic and Social Research

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

We thank Rebecca Riley for useful discussions, comments and feedback that helped us to improve this article.

References

Ahmad, N., Moulton, B., Richardson, J.D., and van de Ven, P. (forthcoming), The Challenges of Globalization in the Measurement of National Accounts, University of Chicago Press in NBER Book Series Studies in Income and Wealth.Google Scholar
Abdirahman, M., Coyle, D., Heys, R., and Stewart, W (2017), ‘A comparison of approaches to deflating telecommunications services output’, ESCoE Discussion Paper 2017-04.Google Scholar
Bernard, A.B. and Fort, T.C. (2015), ‘Factoryless goods producing firms’, American Economic Review: Papers & Proceedings, 105(5), pp. 518–23.CrossRefGoogle Scholar
Byrne, D., Corrado, C.A. and Sichel, D. (2017), ‘The rise of cloud computing: minding your P's and Q's, in Measuring and Accounting for Innovation in the 21st Century National Bureau of Economic Research, University of Chicago Press (forthcoming).Google Scholar
Byrne, D., Sichel, D.E. and Aizcorbe, A. (2019), ‘Getting smart about phones: new price indexes and the allocation of spending between devices and services plans in personal consumption expenditures’, Finance and Economics Discussion Series 2019-012, Washington: Board of Governors of the Federal Reserve System.Google Scholar
Chen, W., Gouma, R., Los, B. and Timmer, M.P. (2017), ‘Measuring the income to intangibles in goods production: a global value chain approach’, WIPO Economic Research Working Paper No. 36.Google Scholar
Coyle, D. (1997), The Weightless World, Capstone/MIT Press.Google Scholar
Coyle, D. and Nguyen, D. (2018), ‘Cloud computing and national accounting’, ESCoE Discussion Paper 2018-19, December 2018.Google Scholar
Coyle, D. and Nguyen, D. (2019), ‘No plant no problem? Factoryless manufacturing and economic measurement’, Unpublished Discussion Paper (forthcoming).Google Scholar
Dunnell, K., Galindo-Rueda, F. and Laux, R. (2007), ‘Globalisation: what are the main statistical challenges?’, Economic and Labour Market Review, 1(9).CrossRefGoogle Scholar
Etro, F. (2009), ‘The economic impact of cloud computing on business creation, employment and output in the E.U.’, Review of Business and Economics, 54(2), pp. 179208.Google Scholar
Furman, J., Coyle, D., Fletcher, A., Marsden, P. and McAuley, D. (2019), Unlocking Digital Competition: Report of the Digital Competition Expert Panel, Independent Report to HM Treasury, 13 March.Google Scholar
Haskel, J. and Westlake, S. (2017), Capitalism without Capital: The Rise of the Intangible Economy, Princeton University Press.CrossRefGoogle Scholar
Li, W.C.Y., Nirei, M. and Yamana, K. (2019), ‘Value of data: there's no such thing as a free lunch in the digital economy’, U.S. Bureau of Economic Analysis Working Paper, Washington, DC.Google Scholar
McKinsey Global Institute (2016), Digital Globalization: The New Era of Global Flows, McKinsey & Company, February.Google Scholar
McKinsey Global Institute (2019) Globalization in Transition: The Future of Trade and Value Chains, McKinsey & Company, January.Google Scholar
Nguyen, D. and Paczos, M. (2019), ‘Measuring the economic value of data and data flows’, presentation at OECD Working Party on Measurement and Analysis of the Digital Economy, Paris, 7 May.Google Scholar
OECD (2017), OECD Transfer Pricing Guidelines for Multinational Enterprises and Tax Administrations 2017, Paris: OECD Publishing.Google Scholar
Office for National Statistics (2018), ‘E-commerce and ICT activity, UK: 2017’, ONS Statistical Bulletin, November.Google Scholar
Steiner, P.O. (1957), ‘Peak load and efficient pricing’, The Quarterly Journal of Economics, 71(4), pp. 585610.CrossRefGoogle Scholar
UNECE (2015), Guide to Measuring Global Production, New York and Geneva: United Nations.Google Scholar
UNCTAD (2017), World Investment Report 2017: Investment and the Digital Economy, New York and Geneva: United Nations.Google Scholar