The Information and Communications for Development report takes an in-depth look at how information and communication technologies (ICT) are impacting economic growth in developing countries. This new report, the fourth in the series, examines the topic of data-driven development, or how better info
DATA FOR DEVELOPMENT PROFILES : official development assistance for data and statistical... systems.
β Scribed by ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT.
- Publisher
- ORGANIZATION FOR ECONOMIC
- Year
- 2021
- Tongue
- English
- Leaves
- 166
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Preface
Foreword
Acknowledgements
Editorial
Abbreviations and acronyms
Executive summary
Insights from the Data for Development profiles
Towards good practices in international support for data and statistical systems
Insights from the Data for Development Profiles of DAC members
Development co-operation for data and statistics
Key insights from the profiles
Insight # 1: DAC membersβ overarching thematic and geographic priorities drive funding of data and statistics
Data-related support is spread across institutions
Digital strategies highlight data challenges and opportunities
Long-standing geographic priorities bear out in support for data and statistics
Insight # 2: DAC members increasingly invest in sectoral data and statistics
A closer look at evolutions in sectoral support
Programmatic and budget support can incentivise support for general/core statistical capacities
Insight # 3: ODA to data and statistics is increasingly concentrated in fragile states
ODA is increasingly concentrated in Africa...
...and in fragile contexts
Insight # 4: Project-type interventions are preferred to joint-funding mechanisms
Stable but evolving engagement in joint funding mechanisms
Multilateral channels are often used in low-income countries and fragile contexts
Insight # 5: Country ownership drives successful results
Regional programmes are emerging as relevant and efficient
Approaches to supporting country ownership are evolving, going beyond national government
Towards good practices in international support for data and statistical systems
References
Notes
Data for Development Profiles
Data for Development Profiles
Australia
Strategies, actors and funding
Illustrative programmes and projects
Lessons learnt
Thematic focus
Geographic focus
Modalities and channels of delivery
Notes
Canada
Strategies, actors and funding
Lessons learnt
Thematic focus
Geographic focus
Modalities and channels of delivery
Notes
Denmark
Strategies, actors and funding
Note
European Union
Strategies, actors and funding
Lessons learnt
Thematic focus
Geographic focus
Modalities and channels of delivery
Note
Italy
Strategies, actors and funding
Thematic focus
Geographic focus
Modalities and channels of delivery
Notes
Japan
Strategies, actors and funding
Thematic focus
Geographic focus
Modalities and channels of delivery
Note
Korea
Strategies, actors and funding
Lessons learnt
Thematic focus
Geographic focus
Modalities and channels of delivery
Notes
Norway
Strategies, actors and funding
Lessons learnt
Thematic focus
Geographic focus
Modalities and channels of delivery
Notes
Poland
Strategies, actors and funding
Note
Portugal
Strategies, actors and funding
Lessons learnt
Thematic focus
Geographic focus
Modalities and channels of delivery
Note
Sweden
Strategies, actors and funding
Lessons learnt
Thematic focus
Geographic focus
Modalities and channels of delivery
Note
Switzerland
Strategies, actors and funding
Lessons learnt
Thematic focus
Geographic focus
Modalities and channels of delivery
Note
United Kingdom
Strategies, actors and funding
Thematic focus
Geographic focus
Modalities and channels of delivery
Note
United States
Strategies, actors and funding
United States Agency for International Development
United States Millennium Challenge Corporation
Lessons learnt
Thematic focus
Geographic focus
Modalities and channels of delivery
Note
Methodology
How was ODA for data and statistics identified?
General remarks
Other sources
Japanβs support to IMF capacity development
Koreaβs partnerships with the World Bank and the IMF
Results
How was providersβ ODA to data and statistics matched to statistical domains?
Matching purpose codes to statistical domains
Matching based on text mining of project titles
Matching based on implementing agency
Results
What are the policy markers and policy objectives?
What is βcountry-allocableβ support?
How are countries classified by income group and by fragility status?
References
Notes
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