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HUSSAIN, ANWAR (3) answer(s).
 
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ID:   143530


Food demand in Pakistan : analysis and projections / Hayat, Naveed; Hussain, Anwar ; Yousaf, Hazrat   Article
Hayat, Naveed Article
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Summary/Abstract This study analyzes the household food demand followed by projecting the future level of demand of selected food commodity groups in Pakistan. It uses Pakistan Panel Household Survey (PPHS) for the year 2010, conducted by Pakistan Institute of Development Economics (PIDE). The linear approximation/almost ideal demand system (LA/AIDS) model is used to estimate the demand elasticities, while a simple growth model is used for food demand projections. The empirical results reveal that food grains, pulses, ghee, sugar and vegetables are necessities, while milk and meat are luxuries. Pulses and vegetables, ghee and meat, milk and sugar are identified as gross complements on the basis of uncompensated cross-price elasticities. The uncompensated cross-price elasticities of food grains indicate the substitutive relationship between different food items, such as pulses, meat and vegetables. An increase in the household income will induce a substantial expansion in household demand for milk and meat products, but the consumption of these foods will decline if household size grew, ceteris paribus.
Key Words Food Demand  Growth Model  Elasticities  Projection  PPHS  LA/AIDS Model 
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2
ID:   150817


Forecasting electricity consumption in Pakistan: the way forward / Hussain, Anwar; Rahman, Muhammad ; Memon, Junaid Alam   Journal Article
Hussain, Anwar Journal Article
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Summary/Abstract Growing shortfall of electricity in Pakistan affects almost all sectors of its economy. For proper policy formulation, it is imperative to have reliable forecasts of electricity consumption. This paper applies Holt-Winter and Autoregressive Integrated Moving Average (ARIMA) models on time series secondary data from 1980 to 2011 to forecast total and component wise electricity consumption in Pakistan. Results reveal that Holt-Winter is the appropriate model for forecasting electricity consumption in Pakistan. It also suggests that electricity consumption would continue to increase throughout the projected period and widen the consumption-production gap in case of failure to respond the issue appropriately. It further reveals that demand would be highest in the household sector as compared to all other sectors and the increase in the energy generation would be less than the increase in total electricity consumption throughout the projected period. The study discuss various options to reduce the demand-supply gap and provide reliable electricity to different sectors of the economy.
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3
ID:   150816


Forecasting electricity consumption in Pakistan: the way forward / Hussain, Anwar   Journal Article
Hussain, Anwar Journal Article
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