The Labor Content of Exports in South Africa and Botswana

The LACEX dataset has been recently assembled to compute the (direct and indirect) value of the compensation of employees linked to exports for each sector/country/year. The data has been computed on the basis of a panel of global input-output data spanning intermittent years from 1995 to 2007 from the Global Trade Analysis Project (GTAP). This represents a form of social accounting data - a variation on the social accounting matrix (SAM) where incomes are shown in the rows of the SAM while expenditures are shown in the columns. The structure of the data provides a comprehensive and consistent record of national income accounting relationships between different sectors and regions, including intermediate and final demand linkages. This structure of the dataset allows one to obtain the value added content of final output and exports, including its compensation of employees’ component. That includes both the direct and indirect compensation, based on the backward linkages of each sector with the rest of the economy. In order to obtain these labor value added measures, two intermediate multiplier matrixes need to be calculated. The first is the Leontief inverse matrix, which measures the inputs contained in a unit of final output. This matrix contains both direct and indirect inputs. Next, one needs to calculate a matrix which has the compensation of employees’ shares of total output. Using these two matrixes as multipliers one can obtain the compensation of employees’ shares of exports and final outputs. These shares are also split between skilled and unskilled workers.

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Bibliographic Details
Main Authors: Calì, Massimiliano, Hollweg, Claire
Format: Report biblioteca
Language:English
en_US
Published: World Bank, Washington, DC 2015-01
Subjects:EQUILIBRIUM ANALYSIS, JOBS, EMPLOYMENT, GENERAL EQUILIBRIUM, VALUE ADDED, ACCOUNTING, WORKERS, MULTIPLIERS, PRODUCTION, WAGES, LAGS, SKILLED WORKERS, EXPORT SECTORS, INCOME, VALUE, COMPETITIVENESS, VEHICLES, GDP PER CAPITA, MOTOR VEHICLE, NATIONAL INCOME, EXPORTS, TREND, INCOME DISTRIBUTION, PRIVATE SERVICES, EXPORTERS, GLOBAL TRADE ANALYSIS, AGRICULTURE, MOTOR VEHICLES, INPUT-OUTPUT TABLES, GROSS OUTPUT, CROSS-SECTORAL VARIATION, INPUTS, LABOR VALUE, VALUE OF OUTPUT, TRANSPORT SERVICES, SKILLED LABOR, FINAL GOODS, TRADE, VEHICLE, GROSS EXPORTS, GDP, GOODS, GLOBAL TRADE, GENERAL EQUILIBRIUM ANALYSIS, TRANSPORT, SUPPLY, OUTPUTS, LABOR INTENSITY, GROSS NATIONAL PRODUCT, MOTOR VEHICLE EXPORTS, ORGANIZATIONS, UNSKILLED WORKERS, METAL PRODUCTS, TOTAL OUTPUT, SUPPLIERS, APPAREL, LABOR, APPAREL EXPORTS, TRANSPORT EQUIPMENT, TOTAL EMPLOYMENT, EXPORT SHARE, UNSKILLED LABOR, DOMESTIC SUPPLIERS, MIDDLE INCOME COUNTRIES, LABOR SHARE, GENERAL EQUILIBRIUM MODELING, EMPLOYEES,
Online Access:http://documents.worldbank.org/curated/en/2016/02/25857487/labor-content-exports-south-africa-botswana-preliminary-exploration
https://hdl.handle.net/10986/23828
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Summary:The LACEX dataset has been recently assembled to compute the (direct and indirect) value of the compensation of employees linked to exports for each sector/country/year. The data has been computed on the basis of a panel of global input-output data spanning intermittent years from 1995 to 2007 from the Global Trade Analysis Project (GTAP). This represents a form of social accounting data - a variation on the social accounting matrix (SAM) where incomes are shown in the rows of the SAM while expenditures are shown in the columns. The structure of the data provides a comprehensive and consistent record of national income accounting relationships between different sectors and regions, including intermediate and final demand linkages. This structure of the dataset allows one to obtain the value added content of final output and exports, including its compensation of employees’ component. That includes both the direct and indirect compensation, based on the backward linkages of each sector with the rest of the economy. In order to obtain these labor value added measures, two intermediate multiplier matrixes need to be calculated. The first is the Leontief inverse matrix, which measures the inputs contained in a unit of final output. This matrix contains both direct and indirect inputs. Next, one needs to calculate a matrix which has the compensation of employees’ shares of total output. Using these two matrixes as multipliers one can obtain the compensation of employees’ shares of exports and final outputs. These shares are also split between skilled and unskilled workers.