Pakistan Institute of Development Economics

Search
Search
A Social Accounting Matrix for Pakistan, 2001-02: Methodology and Results
2006:9
QR Code https://file.pide.org.pk/pdfpideresearch/wp-0009-a-social-accounting-matrix-for-Pakistan-2001-02-methodology-and-results.pdf

A Social Accounting Matrix for Pakistan, 2001-02: Methodology and Results

Publication Year : 2006
Explore More : Working Paper

This paper describes the structure and construction of a social accounting matrix (SAM) for Pakistan for 2001-02. A SAM is an internally consistent extended set of national accounts that disaggregates value-added in each production activity into payments to various factors (e.g., land, labour, capital), and disaggregates household incomes and expenditures according to various household types. Because this Pakistan SAM is designed for analysis of the links between growth and rural poverty, agricultural activities, agricultural factors of production, and rural household accounts are more disaggregated than are those for urban activities and households. Rural household groups in the SAM are split according to three regions (Punjab, Sindh, and Other Pakistan) to capture the large differences in the structure of agricultural production and incomes across Pakistan. On average, household incomes in the SAM are 2.1 times greater than household expenditures in the HIES Survey, reflecting the apparent substantial under-reporting of expenditures (particularly on services) and informal sector incomes in the HIES and other household surveys. Agricultural factor incomes as calculated in the SAM account for only 23 percent of total factor incomes in Pakistan, but 60 percent of total factor incomes for agricultural households. 91 percent of agricultural incomes derive from land, water, own-farm labour, or livestock; earnings of hired labour and (nonlivestock) agricultural capital account for only 9 percent of agricultural incomes. Incomes of large- and medium-farm rural households, calculated using land area cultivated, data from the Agricultural Census, and other data, are significantly higher than indicated in household surveys.