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Global Enabling Trade Report 2016

  • Enabling Trade Index rankings
  • Economy profiles
  • Press releases
  • Enabling Trade Index world map
  • Downloads
  • Blogs and opinions
  • Infographics
  • Report Content
    • Contributors and acknowledgements
    • Preface
    • (Re-)making the case for inclusive trade
    • The need for practical responses
      • Why trade facilitation matters
      • The Trade Facilitation Agreement in a nutshell
    • The Global Alliance for Trade Facilitation
    • Measuring trade facilitation
      • Data-driven policy-making
      • Trade facilitation data initiatives
        • OECD Trade Facilitation Indicators for Brazil
        • Smart statistics for intelligent progress: TRANSPark
    • The Enabling Trade Index 2016 framework
      • Changes to the ETI methodology
      • Composition and computation of the Enabling Trade Index 2016
      • Technical Notes and Sources
    • Key message: Globalization for all
    • Key message: Closed for business
    • Key message: Harvest that low-hanging fruit
    • Enabling Trade Index results
      • Regional overview: Europe and North America
      • Regional overview: East Asia and Pacific
      • Regional overview: Middle East and North Africa
      • Regional overview: Latin America and the Caribbean
      • Regional overview: Eurasia
      • Regional overview: Sub-Saharan Africa
      • Regional overview: South Asia
      • Trade facilitation performance in Africa
    • Wrap up!
The Global Enabling Trade Report 2016   Data-driven policy-making
Home
The Global Enabling Trade Report 2016   Data-driven policy-making
Home
The Global Enabling Trade Report 2016 Home
  • Report Home
  • Enabling Trade Index rankings
  • Economy profiles
  • Press releases
  • Enabling Trade Index world map
  • Downloads
  • Blogs and opinions
  • Infographics
  • Report Content
    • Contributors and acknowledgements
    • Preface
    • (Re-)making the case for inclusive trade
    • The need for practical responses
      • Why trade facilitation matters
      • The Trade Facilitation Agreement in a nutshell
    • The Global Alliance for Trade Facilitation
    • Measuring trade facilitation
      • Data-driven policy-making
      • Trade facilitation data initiatives
        • OECD Trade Facilitation Indicators for Brazil
        • Smart statistics for intelligent progress: TRANSPark
    • The Enabling Trade Index 2016 framework
      • Changes to the ETI methodology
      • Composition and computation of the Enabling Trade Index 2016
      • Technical Notes and Sources
    • Key message: Globalization for all
    • Key message: Closed for business
    • Key message: Harvest that low-hanging fruit
    • Enabling Trade Index results
      • Regional overview: Europe and North America
      • Regional overview: East Asia and Pacific
      • Regional overview: Middle East and North Africa
      • Regional overview: Latin America and the Caribbean
      • Regional overview: Eurasia
      • Regional overview: Sub-Saharan Africa
      • Regional overview: South Asia
      • Trade facilitation performance in Africa
    • Wrap up!

    Data-driven policy-making

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    Data and evidence are critical factors that should drive feasible and effective policy-making. Among the seven pillars of the Enabling Trade Index 2016, Border Administration exhibits the second largest score differential—between the country at the bottom, Yemen, and top performers such as Singapore—after the ICT Infrastructure pillar (see Chapter 2). Moreover, modernizing border administration is, relatively speaking, less costly, less time consuming and politically easier than other interventions. Therefore, border administration appears to be an appealing choice for countries wishing to implement speedy reforms; in other words, a ‘low-hanging fruit’ for policymakers.

    TF data is also important for targeting some US$40 billion of Aid for Trade (a WTO initiative) annual funding to where it has the most impact.1 Case studies conducted by the World Economic Forum and World Bank suggest that the effect of reducing barriers is not a continuous function, but rather depends on tipping points being reached.2 Broadly speaking, appropriate targeting appears to be happening at a macro level. Countries with the weakest performance on the ETI, including Burundi, Mozambique, Gambia and Madagascar, have indeed received the highest amount of Aid for Trade funding relative to the size of their economies.3 The outcome, as assessed by the OECD/WTO (2013), is that US$1 invested in aid for trade is associated with an average increase of US$8 in exports from developing countries.

    1
    1 De Melo and Wagner 2016.
    2
    2 World Economic Forum 2013.
    3
    3 OECD/WTO 2015.
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