Arbeitspapier

A post-separation social accounting matrix for the Sudan

The 2012 SAM for the Sudan, with a special focus on agriculture, water and energy, is built using data from domestic sources in the Sudan including the Central Bureau of Statistics, the Ministry of Agriculture, the Ministry of Finance and Economic Planning and the Central Bank of Sudan besides other external sources. Major data sets used include the 2012 National Accounts and Trade Statistics of the CBS, the 53rd Annual Report of the Central Bank of the Sudan, the 2011 Labor Force Survey, the 2009 Household Income and Expenditure Survey, The 2009-2012 Agricultural Production Cost Survey and the 2005 Industrial Survey. Data from external sources are used to complement national sources. These sources include IMF studies on government finances, FAO reports and data on agriculture and ILO reports on labor. The SAM distinguishes between agricultural activities based on the modes of irrigation, energy based on its major sources and water based on modes of production and types of uses. Land is divided into irrigated and non-irrigated, while natural water resources are added in a separate account. Households are categorized by state, location (rural and urban) and income quintiles. Labor accounts are differentiated based on location (rural and urban), skill level and gender.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 92/2016

Klassifikation
Wirtschaft
General Aggregative Models: Social Accounting Matrix
Thema
Sudan
Social Accounting Matrix
agriculture
water
energy

Ereignis
Geistige Schöpfung
(wer)
Siddig, Khalid
Elagra, Samir
Grethe, Harald
Mubarak, Amel
Ereignis
Veröffentlichung
(wer)
Humboldt-Universität zu Berlin, Faculty of Life Sciences, Department of Agricultural Economics
(wo)
Berlin
(wann)
2016

Handle
Letzte Aktualisierung
20.09.2024, 08:22 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Siddig, Khalid
  • Elagra, Samir
  • Grethe, Harald
  • Mubarak, Amel
  • Humboldt-Universität zu Berlin, Faculty of Life Sciences, Department of Agricultural Economics

Entstanden

  • 2016

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