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Measuring the internet economy in The Netherlands: a big data analyses. Lotte Oostrom, Statistics Netherlands (CBS). Aim of the study. Main research question: “What is the importance of the internet economy to the Dutch economy?” The aim of the research project was fourfold:
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Measuring the internet economyin The Netherlands: a big data analyses Lotte Oostrom, Statistics Netherlands (CBS)
Aim of the study Main research question: “What is the importance of the internet economy to the Dutch economy?” The aim of the research project was fourfold: • Determine a pragmatic definition of “the internet economy” • Show the importance and size of the internet economy in NL • Show the possibilities of new measurement methods with big data • Explain differences from regular statistics/concepts
Definition of the internet economy Online stores accordingtoeCommerce variables Online services or internet related ICT accordingtokeyword analysis Businesseswith a website that do notbelongtocategory C, D or E Businesses without a website
Number of business by internet category, 2015 975,000 438,000 68,000 28,500 5,700 16,000
Relative distribution of number of companies, jobs, turnover and value added by Internet categories, 2015 The core of the internet economy (online stores, online services and internet related ICT) consists of 50,000 businesses and provides 345,000 jobs (4.4% of the total) and a turnover of € 104 billion (7.7% of the total).
The core of the internet economy compared to other sectors In terms of size, the core of the internet economy is roughly comparable to industries like ‘construction’ or ‘accommodation and food service activities’ or ‘transportation and storage’.
Regionaldistribution Certain regions are more prominent in the internet economy than others. Online stores Online services Internet related ICT
Relativesize of businesses More than 80 per cent of the businesses without a website and threequarters of the online stores have only 1 employee.
Relativeage of businesses The businesses without a website, online stores and online services are relatively ‘young’ compared to the other categories.
Future plans • Improve method by using machine learning/Artificial Intelligence and additional datasources. • Obtain time series for several years • Repeat the study in other countries -> Germany & UK(Dataprovider already has data on more than 40 countries!) • Turn into regular statistics? For more information: Discussion paper l.oostrom@cbs.nl