Regulating Personal Data : Data Models and Digital Services Trade
While regulations on personal data diverge widely between countries, it is nonetheless possible to identify three main models based on their distinctive features: one model based on open transfers and processing of data, a second model based on con...
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World Bank, Washington, DC
2021
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| Online Access: | http://documents.worldbank.org/curated/en/890741616533448170/Regulating-Personal-Data-Data-Models-and-Digital-Services-Trade http://hdl.handle.net/10986/35308 |
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okr-10986-353082022-09-20T00:08:59Z Regulating Personal Data : Data Models and Digital Services Trade Ferracane, Martina Francesca van der Marel, Erik DATA PRIVACY DATA PROTECTION GLOBALIZATION TRADE DIGITAL SERVICES WDR BACKGROUND PAPER DATA REGULATION While regulations on personal data diverge widely between countries, it is nonetheless possible to identify three main models based on their distinctive features: one model based on open transfers and processing of data, a second model based on conditional transfers and processing, and third a model based on limited transfers and processing. These three data models have become a reference for many other countries when defining their rules on the cross-border transfer and domestic processing of personal data. The study reviews their main characteristics and systematically identifies for 116 countries worldwide to which model they adhere for the two components of data regulation (i.e. cross-border transfers and domestic processing of data). In a second step, using gravity analysis, the study estimates whether countries sharing the same data model exhibit higher or lower digital services trade compared to countries with different regulatory data models. The results show that sharing the open data model for cross-border data transfers is positively associated with trade in digital services, while sharing the conditional model for domestic data processing is also positively correlated with trade in digital services. Country-pairs sharing the limited model, instead, exhibit a double whammy: they show negative trade correlations throughout the two components of data regulation. Robustness checks control for restrictions in digital services, the quality of digital infrastructure, as well as for the use of alternative data sources. 2021-03-25T14:36:19Z 2021-03-25T14:36:19Z 2021-03 Working Paper http://documents.worldbank.org/curated/en/890741616533448170/Regulating-Personal-Data-Data-Models-and-Digital-Services-Trade http://hdl.handle.net/10986/35308 English Policy Research Working Paper;No. 9596 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper |
| repository_type |
Digital Repository |
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Foreign Institution |
| institution |
Digital Repositories |
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World Bank Open Knowledge Repository |
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World Bank |
| language |
English |
| topic |
DATA PRIVACY DATA PROTECTION GLOBALIZATION TRADE DIGITAL SERVICES WDR BACKGROUND PAPER DATA REGULATION |
| spellingShingle |
DATA PRIVACY DATA PROTECTION GLOBALIZATION TRADE DIGITAL SERVICES WDR BACKGROUND PAPER DATA REGULATION Ferracane, Martina Francesca van der Marel, Erik Regulating Personal Data : Data Models and Digital Services Trade |
| relation |
Policy Research Working Paper;No. 9596 |
| description |
While regulations on personal data
diverge widely between countries, it is nonetheless possible
to identify three main models based on their distinctive
features: one model based on open transfers and processing
of data, a second model based on conditional transfers and
processing, and third a model based on limited transfers and
processing. These three data models have become a reference
for many other countries when defining their rules on the
cross-border transfer and domestic processing of personal
data. The study reviews their main characteristics and
systematically identifies for 116 countries worldwide to
which model they adhere for the two components of data
regulation (i.e. cross-border transfers and domestic
processing of data). In a second step, using gravity
analysis, the study estimates whether countries sharing the
same data model exhibit higher or lower digital services
trade compared to countries with different regulatory data
models. The results show that sharing the open data model
for cross-border data transfers is positively associated
with trade in digital services, while sharing the
conditional model for domestic data processing is also
positively correlated with trade in digital services.
Country-pairs sharing the limited model, instead, exhibit a
double whammy: they show negative trade correlations
throughout the two components of data regulation. Robustness
checks control for restrictions in digital services, the
quality of digital infrastructure, as well as for the use of
alternative data sources. |
| format |
Working Paper |
| author |
Ferracane, Martina Francesca van der Marel, Erik |
| author_facet |
Ferracane, Martina Francesca van der Marel, Erik |
| author_sort |
Ferracane, Martina Francesca |
| title |
Regulating Personal Data : Data Models and Digital Services Trade |
| title_short |
Regulating Personal Data : Data Models and Digital Services Trade |
| title_full |
Regulating Personal Data : Data Models and Digital Services Trade |
| title_fullStr |
Regulating Personal Data : Data Models and Digital Services Trade |
| title_full_unstemmed |
Regulating Personal Data : Data Models and Digital Services Trade |
| title_sort |
regulating personal data : data models and digital services trade |
| publisher |
World Bank, Washington, DC |
| publishDate |
2021 |
| url |
http://documents.worldbank.org/curated/en/890741616533448170/Regulating-Personal-Data-Data-Models-and-Digital-Services-Trade http://hdl.handle.net/10986/35308 |
| _version_ |
1764482762842046464 |