A 2019 Nexus Social Accounting Matrix For Sudan

Nexus SAMs aims to improve the quality and standardize the construction process of SAMs using a standard toolkit that enables tracing data sources and assumptions. The unified structure of nexus SAMs allows for more robust cross-country comparisons of economies, especially the sectoral composition, allocation of government spending and trade orientation. The 2019 SAM for Sudan is a snapshot capturing the structure of the Sudanese Economy and depicting the different transactions between the production activities, factors of production and other income generating and consuming entities in the economy besides the good and services (produced and consumed). The circular flow of income is completed by including the accounts for enterprises, government, and rest of the world. The International Food Policy Research Institute (IFPRI) relied on both international and local data sources to develop the first Nexus SAM for Sudan for the year 2019. The leading domestic data sources are the Central Bureau of Statistics (CBS), the Central Bank of Sudan (CBoS), the Ministry of Finance and Economic Planning (MFEP) and the Ministry of Human Resources Development and Labor (MHRDL). Like other Nexus SAMs, the Sudan SAM puts a strong emphasis on the household accounts by providing details on both income and expenditure sides as well as savings. We used a household income and expenditure survey to disaggregate the household account into income deciles both in rural and urban areas. The SAM also provides disaggregated representation of production activities including 77 activities producing 79 commodities. Production factors included in the Nexus SAM for Sudan are labor, capital, and land. Labor is further classified by location to rural and urban, by gender to male and female, and by the level education to unskilled, semi-skilled and skilled labor. Land and capital factors are left without further disaggregation.

The 2012 Social Accounting Matrix (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 modes of irrigation, energy based on its major source, 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.

The Central Agency for Public Mobilization and Statistics (CAPMAS) is pleased to present an updated social accounting matrix (SAM) for Egypt. This SAM combines information from national datasets from many institutions, including the Central Bank, the Ministries of Finance and Agriculture, and various statistical bureaus. It also makes extensive use of data from the Economic Survey and Household Income and Expenditure Survey (HIECS), which is produced by CAPMAS. With this data it becomes possible to provide a detailed update of the socioeconomic status of Egypt. The SAM also allows for more timely analysis of developmental issues and a better understanding the potential economic impacts of policy changes. The SAM is the main dataset used for economywide modelling of policy scenarios and simulations. Such modeling has proven to be a powerful evidence-based analytical tool for informing policy making and for assessing the impact of different policy interventions, especially during the COVID-19 crisis.

The 2019 Ghana Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

The armed conflict between the Sudanese Armed Forces (SAF) and Rapid Support Forces (RSF) in Sudan entered its sixth month since it erupted on April 15th, 2023, with no signs of ending soon. The war has caused severe humanitarian catastrophe, destroyed key infrastructure, and constrained trade and production activities. Moreover, it disrupted access to public utilities, financial services, and markets, hence, triggering considerable scarcity of goods and services. In this paper, we utilize a Social Accounting Matrix (SAM) Multiplier modeling framework to assess the economywide implications of these disruptions of economic activity, productive resources, and livelihoods. Results reveal that the economy would shrink to nearly half its size before the war, household incomes decline by more than 40 percent in urban and rural areas, and the number of poor people increase by 1.8 million if the war continues until the end of the year. The impact would have been two thirds less should the war have ended before July 2023 and would be one third less if it would end before October 2023. This study therefore calls for rapid interventions from all relevant parties to help reach an end to the fighting.

The purpose of this paper is used to document the different steps followed to construct the 2010/11 Social Accounting Matrix for Ethiopia. The SAM is an extension of the Standard Nexus Structure. It consists of 63 activity sectors, 67 commodity sectors, three types of factors of production: labor (rural and urban disaggregated by level of education), land, and capital (disaggregated by crops, livestock, mining and other sectors). The household sector is divided spatially into urban and rural households. Rural households are further disaggregated into households that earn crop and/or livestock incomes (i.e., farm households) and those that do no earn incomes from either source (i.e., nonfarm households). Households are further disaggregated into per capita expenditure quintiles. This SAM allows analyzing issues at the detailed level and to better understand the potential impacts of policy changes for both better off and more vulnerable households.

This Handbook provides a comprehensive overview of how water, energy and food are interconnected, comprising a coherent system: the nexus. It considers the interlinkages between natural resources, governance processes seeking coherence among water, energy and food policies, and the adoption of transdisciplinary approaches in the field.

The Ethiopian economy relies predominantly on rainfed agriculture for income generation, export earnings, and rural livelihoods. However, the frequency and intensity of extreme ago-climatic events projected by climate scenarios suggest considerable and growing risks from climate change to the country’s agri-food systems and the overall economy. This study assesses the economic impacts of recurrent climate shocks on the Ethiopian economy to 2040. The results indicate that recurrent climate shocks will lead to a reduction in Ethiopia's cumulative GDP from 2020 to 2040 compared to a “no climate change” baseline. Specifically, extreme weather events could cumulatively cost Ethiopia up to 17 percent (or US$ 534.3 billion) in GDP between 2020 and 2040 compared to a no-climate change baseline. The weight of the economic loss is concentrated in the agricultural production sector, with rural households and poorer households in urban areas being worst affected. Strategic investments in irrigation infrastructure and in hydroelectricity generation are found to be effective in mitigating some of the damage caused by recurrent climate variability.