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  1. OECD case study of Norway's digital science and innovation policy and governance landscape
    Author: Galindo-Rueda, Fernando; Keenan, Michael; Ker, Daniel; Plekhanov, Dmitry
    Published: [2020]
    Publisher:  OECD Publishing, [Paris]

    This report describes Norway’s landscape for Digital Science and Innovation Policy (DSIP) - the overarching framework through which governments make intensive use of digital technologies and data resources to support the formulation, delivery and... more

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    This report describes Norway’s landscape for Digital Science and Innovation Policy (DSIP) - the overarching framework through which governments make intensive use of digital technologies and data resources to support the formulation, delivery and administration of STI policy. The report describes how Norway’s DSIP landscape is shaped by its broader digital government framework and agenda, introduces the main actors in the DSIP system and discusses their main features in relation to their key objectives and the generic purposes of DSIP approaches. Special attention is paid to the role of STI statistics. It concludes by drawing out key findings and potential implications to help the Norwegian government identify opportunities that promote the system’s further development in line with its strategic objectives. This study also provides an indication of the potential opportunities and challenges that other countries might face when developing, implementing and maintaining digital systems for STI policy and administration.

     
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Book
    Format: Online
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    Series: OECD science, technology and innovation policy papers ; no. 89 (July 2020)
    OECD Science, Technology and Industry Policy Papers ; no.89
    Subjects: digitalisation; innovation; policy governance; statistics; science and technology; Norway
    Scope: 1 Online-Ressource (circa 89 Seiten), Illustrationen
  2. Data transparency and long-run growth
    Author: Islam, Asif Mohammed; Lederman, Daniel
    Published: December 2020
    Publisher:  World Bank Group, Middle East and North Africa Region, Office of the Chief Economist, [Washington, DC, USA]

    For centuries states have engaged in collecting data to serve various interests. In modern times, a data gap has emerged between developing and developed economies, with the latter having more advanced data systems. The authors explore the effects of... more

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    For centuries states have engaged in collecting data to serve various interests. In modern times, a data gap has emerged between developing and developed economies, with the latter having more advanced data systems. The authors explore the effects of data transparency on long-run growth for a sample of mostly developing economies. Data transparency is defined as the timely production of credible statistics as measured by the Statistical Capacity Index. The paper finds that data transparency has a positive effect on real gross domestic product per capita, implying a statistically significant impact on transitional growth to a higher potential level of gross domestic product per capita. The estimates indicate an elasticity of the magnitude of 0.03 percent per year, which is much larger than the elasticity of trade openness and schooling in the estimation sample. The empirics employ a variety of econometric estimators, including dynamic panel and cross-sectional instrumental variables estimators, with the latter approach yielding a higher estimated elasticity. The findings are robust to the inclusion of several factors in addition to political institutions and exogenous commodity-price and external debt-financing shocks

     
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Book
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    Series: Policy research working paper ; 9493
    World Bank E-Library Archive
    Subjects: Data transparency; statistics; economic growth
    Scope: 1 Online-Ressource (circa 29 Seiten), Illustrationen
  3. OECD case study of Norway's digital science and innovation policy and governance landscape
    Author: Galindo-Rueda, Fernando; Keenan, Michael; Ker, Daniel; Plekhanov, Dmitry
    Published: [2020]
    Publisher:  OECD Publishing, [Paris]

    This report describes Norway’s landscape for Digital Science and Innovation Policy (DSIP) - the overarching framework through which governments make intensive use of digital technologies and data resources to support the formulation, delivery and... more

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    This report describes Norway’s landscape for Digital Science and Innovation Policy (DSIP) - the overarching framework through which governments make intensive use of digital technologies and data resources to support the formulation, delivery and administration of STI policy. The report describes how Norway’s DSIP landscape is shaped by its broader digital government framework and agenda, introduces the main actors in the DSIP system and discusses their main features in relation to their key objectives and the generic purposes of DSIP approaches. Special attention is paid to the role of STI statistics. It concludes by drawing out key findings and potential implications to help the Norwegian government identify opportunities that promote the system’s further development in line with its strategic objectives. This study also provides an indication of the potential opportunities and challenges that other countries might face when developing, implementing and maintaining digital systems for STI policy and administration.

     
    Export to reference management software   RIS file
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Book
    Format: Online
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    Series: OECD science, technology and innovation policy papers ; no. 89 (July 2020)
    OECD Science, Technology and Industry Policy Papers ; no.89
    Subjects: digitalisation; innovation; policy governance; statistics; science and technology; Norway
    Scope: 1 Online-Ressource (circa 89 Seiten), Illustrationen
  4. Data transparency and long-run growth
    Author: Islam, Asif Mohammed; Lederman, Daniel
    Published: December 2020
    Publisher:  World Bank Group, Middle East and North Africa Region, Office of the Chief Economist, [Washington, DC, USA]

    For centuries states have engaged in collecting data to serve various interests. In modern times, a data gap has emerged between developing and developed economies, with the latter having more advanced data systems. The authors explore the effects of... more

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    For centuries states have engaged in collecting data to serve various interests. In modern times, a data gap has emerged between developing and developed economies, with the latter having more advanced data systems. The authors explore the effects of data transparency on long-run growth for a sample of mostly developing economies. Data transparency is defined as the timely production of credible statistics as measured by the Statistical Capacity Index. The paper finds that data transparency has a positive effect on real gross domestic product per capita, implying a statistically significant impact on transitional growth to a higher potential level of gross domestic product per capita. The estimates indicate an elasticity of the magnitude of 0.03 percent per year, which is much larger than the elasticity of trade openness and schooling in the estimation sample. The empirics employ a variety of econometric estimators, including dynamic panel and cross-sectional instrumental variables estimators, with the latter approach yielding a higher estimated elasticity. The findings are robust to the inclusion of several factors in addition to political institutions and exogenous commodity-price and external debt-financing shocks

     
    Export to reference management software   RIS file
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Book
    Format: Online
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    Series: Policy research working paper ; 9493
    World Bank E-Library Archive
    Subjects: Data transparency; statistics; economic growth
    Scope: 1 Online-Ressource (circa 29 Seiten), Illustrationen