Last searches

Results for *

Displaying results 1 to 3 of 3.

  1. Conceptualizing women's empowerment in agrifood systems governance
    a new framework
    Published: [2022]
    Publisher:  International Food Policy Research Institute, Washington, DC, USA

    Access:
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    VS 886
    No inter-library loan
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Contributor: Achike, Anthonia I. (MitwirkendeR)
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    Series: IFPRI discussion paper ; 02153 (December 2022)
    Subjects: governance; agrifood systems; women's empowerment; gender; assessment framework; assessment tool
    Scope: 1 Online-Ressource (circa 48 Seiten), Illustrationen
  2. How to collaborate effectively to improve data quality and use in revenue administration and official statistics
    Published: April 2021
    Publisher:  International Monetary Fund, Fiscal Affairs Department, Washington, DC, U.S.A.

    This note outlines the interest of Revenue Administrations (RAs) and National Statistical Offices (NSOs) in the quality of data at their disposal, and how collaboration between these organizations can contribute to improving data quality. The... more

    Access:
    Verlag (kostenfrei)
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)
    Staatsbibliothek zu Berlin - Preußischer Kulturbesitz, Haus Unter den Linden
    Unlimited inter-library loan, copies and loan

     

    This note outlines the interest of Revenue Administrations (RAs) and National Statistical Offices (NSOs) in the quality of data at their disposal, and how collaboration between these organizations can contribute to improving data quality. The similarities between the data collection and processing steps in revenue administration and in the production of economic statistics underlie meaningful information and data sharing. Mutually beneficial collaboration between RAs and NSOs can be achieved, particularly in efforts to improve the coverage of registers and to update register information; classify economic activity; and analyze joint data to address data shortcomings. Since there are differences in concepts and definitions used in revenue administration and official statistics, dialogue is necessary to ensure the effective use of data from the partner organization. Collaboration can improve the quality of data available to both institutions: for RAs, this can assist in realizing improved taxpayer compliance and revenue mobilization, and for NSOs, tax-administrative data sources may enable expanded coverage of the economy in official statistics and reduce timeframes required for publishing economic time series and national accounts. Together, these outcomes can enhance the policy formulation, planning, and service delivery capability of governments. To that end, this note delineates concrete steps to engender sustainable and meaningful interchange of information and data between the RA and NSO

     

    Export to reference management software   RIS file
      BibTeX file
    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9781513582863
    Other identifier:
    Series: How to notes ; note 21, 05
    Subjects: data quality; RA-NSO engagement; assessment tool; taxpayer information; quality challenge; Tax administration core functions; Data collection; Information for taxpayers; Economic classification; Africa; Foreign Exchange; Informal Economy; Taxation, Subsidies, and Revenue; Underground Econom
    Scope: 1 Online-Ressource (circa 18 Seiten), Illustrationen
  3. How to collaborate effectively to improve data quality and use in revenue administration and official statistics
    Published: April 2021
    Publisher:  International Monetary Fund, Fiscal Affairs Department, Washington, DC, U.S.A.

    This note outlines the interest of Revenue Administrations (RAs) and National Statistical Offices (NSOs) in the quality of data at their disposal, and how collaboration between these organizations can contribute to improving data quality. The... more

    Access:
    Verlag (kostenfrei)
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)
    Staatsbibliothek zu Berlin - Preußischer Kulturbesitz, Haus Potsdamer Straße
    No inter-library loan
    Universitätsbibliothek Braunschweig
    No inter-library loan
    Staats- und Universitätsbibliothek Bremen
    No inter-library loan
    Universitätsbibliothek Erfurt / Forschungsbibliothek Gotha, Universitätsbibliothek Erfurt
    No inter-library loan
    Bibliothek der Pädagogischen Hochschule Freiburg/Breisgau
    No inter-library loan
    Niedersächsische Staats- und Universitätsbibliothek Göttingen
    No inter-library loan
    Universitäts- und Landesbibliothek Sachsen-Anhalt / Zentrale
    No inter-library loan
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
    No inter-library loan
    Technische Universität Hamburg, Universitätsbibliothek
    No inter-library loan
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    No inter-library loan
    Duale Hochschule Baden-Württemberg Heidenheim, Bibliothek
    e-Book Nationallizenz
    No inter-library loan
    Thüringer Universitäts- und Landesbibliothek
    No inter-library loan
    Fachhochschule Kiel, Zentralbibliothek
    No inter-library loan
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    VS 760
    No inter-library loan
    Universitätsbibliothek Leipzig
    No inter-library loan
    Leuphana Universität Lüneburg, Medien- und Informationszentrum, Universitätsbibliothek
    No inter-library loan
    Duale Hochschule Baden-Württemberg Mosbach, Bibliothek
    E-Book Nationallizenz IMF
    No inter-library loan
    Hochschule Offenburg, University of Applied Sciences, Bibliothek Campus Offenburg
    E-Book International Monetary Fund
    No loan of volumes, only paper copies will be sent
    Hochschulbibliothek Pforzheim, Bereichsbibliothek Technik und Wirtschaft
    e-Book International Monetary Fund eLibrary
    No loan of volumes, only paper copies will be sent
    Duale Hochschule Baden-Württemberg Ravensburg, Bibliothek
    E-Book IMF
    No inter-library loan
    Hochschule Albstadt-Sigmaringen, Bibliothek Sigmaringen
    No loan of volumes, only paper copies will be sent

     

    This note outlines the interest of Revenue Administrations (RAs) and National Statistical Offices (NSOs) in the quality of data at their disposal, and how collaboration between these organizations can contribute to improving data quality. The similarities between the data collection and processing steps in revenue administration and in the production of economic statistics underlie meaningful information and data sharing. Mutually beneficial collaboration between RAs and NSOs can be achieved, particularly in efforts to improve the coverage of registers and to update register information; classify economic activity; and analyze joint data to address data shortcomings. Since there are differences in concepts and definitions used in revenue administration and official statistics, dialogue is necessary to ensure the effective use of data from the partner organization. Collaboration can improve the quality of data available to both institutions: for RAs, this can assist in realizing improved taxpayer compliance and revenue mobilization, and for NSOs, tax-administrative data sources may enable expanded coverage of the economy in official statistics and reduce timeframes required for publishing economic time series and national accounts. Together, these outcomes can enhance the policy formulation, planning, and service delivery capability of governments. To that end, this note delineates concrete steps to engender sustainable and meaningful interchange of information and data between the RA and NSO

     

    Export to reference management software   RIS file
      BibTeX file
    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9781513582863
    Other identifier:
    Series: How to notes ; note 21, 05
    Subjects: data quality; RA-NSO engagement; assessment tool; taxpayer information; quality challenge; Tax administration core functions; Data collection; Information for taxpayers; Economic classification; Africa; Foreign Exchange; Informal Economy; Taxation, Subsidies, and Revenue; Underground Econom
    Scope: 1 Online-Ressource (circa 18 Seiten), Illustrationen