Harnessing the Power of Big Data for Trade and Competitiveness Policy
Big data solutions have the potential to accelerate the work of our teams by deriving timely, accurate, and actionable insights from alternative data sources in order to close data gaps and inform policymaking. For example, pilot projects underway...
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| Format: | Working Paper |
| Language: | English en_US |
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World Bank, Washington, DC
2017
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| Online Access: | http://documents.worldbank.org/curated/en/146901489069602323/Harnessing-the-power-of-big-data-for-trade-and-competitiveness-policy http://hdl.handle.net/10986/26266 |
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okr-10986-262662021-06-14T10:10:55Z Harnessing the Power of Big Data for Trade and Competitiveness Policy World Bank Group big data city innovation non-tariff measures machine learning export competitiveness trade anticompetitive behavior competition law Big data solutions have the potential to accelerate the work of our teams by deriving timely, accurate, and actionable insights from alternative data sources in order to close data gaps and inform policymaking. For example, pilot projects underway in the Trade and Competitiveness practice are exploring the use of data science techniques to harness publicly available government and commercial data to aid competition authorities in detecting cartels and other anti-competitive practices. We are also mining Internet data to measure innovative economic activity in cities, so agencies can make better informed policy decisions and, we are collecting regulatory data to classify and assess the impacts of non-tariff measures on economies and their competitiveness. This paper, prepared in collaboration with Deloitte and with other global practices within the Bank Group, highlights data-driven pilot projects underway in the Trade & Competitiveness Global Practice and shares compelling cases of how big data is changing the way we look at the challenges countries are facing and how we can best support them. 2017-03-15T16:40:30Z 2017-03-15T16:40:30Z 2017-03 Working Paper http://documents.worldbank.org/curated/en/146901489069602323/Harnessing-the-power-of-big-data-for-trade-and-competitiveness-policy http://hdl.handle.net/10986/26266 English en_US CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Working Paper |
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Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English en_US |
| topic |
big data city innovation non-tariff measures machine learning export competitiveness trade anticompetitive behavior competition law |
| spellingShingle |
big data city innovation non-tariff measures machine learning export competitiveness trade anticompetitive behavior competition law World Bank Group Harnessing the Power of Big Data for Trade and Competitiveness Policy |
| description |
Big data solutions have the potential to
accelerate the work of our teams by deriving timely,
accurate, and actionable insights from alternative data
sources in order to close data gaps and inform policymaking.
For example, pilot projects underway in the Trade and
Competitiveness practice are exploring the use of data
science techniques to harness publicly available government
and commercial data to aid competition authorities in
detecting cartels and other anti-competitive practices. We
are also mining Internet data to measure innovative economic
activity in cities, so agencies can make better informed
policy decisions and, we are collecting regulatory data to
classify and assess the impacts of non-tariff measures on
economies and their competitiveness. This paper, prepared in
collaboration with Deloitte and with other global practices
within the Bank Group, highlights data-driven pilot projects
underway in the Trade & Competitiveness Global Practice
and shares compelling cases of how big data is changing the
way we look at the challenges countries are facing and how
we can best support them. |
| format |
Working Paper |
| author |
World Bank Group |
| author_facet |
World Bank Group |
| author_sort |
World Bank Group |
| title |
Harnessing the Power of Big Data for Trade and Competitiveness Policy |
| title_short |
Harnessing the Power of Big Data for Trade and Competitiveness Policy |
| title_full |
Harnessing the Power of Big Data for Trade and Competitiveness Policy |
| title_fullStr |
Harnessing the Power of Big Data for Trade and Competitiveness Policy |
| title_full_unstemmed |
Harnessing the Power of Big Data for Trade and Competitiveness Policy |
| title_sort |
harnessing the power of big data for trade and competitiveness policy |
| publisher |
World Bank, Washington, DC |
| publishDate |
2017 |
| url |
http://documents.worldbank.org/curated/en/146901489069602323/Harnessing-the-power-of-big-data-for-trade-and-competitiveness-policy http://hdl.handle.net/10986/26266 |
| _version_ |
1764461546865426432 |