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A panel cointegration analysis. See general information about how to correct material in RePEc. It appears from the results that long run price elasticities are negative and significant at the aggregate level and for the agriculture, commercial, residential sectors and public utilities. General contact details of provider: Evidence from panel data for transition countries ,” Energy Economics , Elsevier, vol. Help us Corrections Found an error or omission?

A panel cointegration analysis of residential demand elasticities ,” Energy Policy , Elsevier, vol. A structural time series analysis ,” Energy Economics , Elsevier, vol. An autoregressive distributed lag bounds cointegration approach ,” Energy Policy , Elsevier, vol. The domestic price of non-energy products is positive and significant for aggregate sample in the short run, the domestic price of non-energy products exert significant negative positive impact on electricity demand in the agriculture industrial sectors. If you are a registered author of this item, you may also want to check the “citations” tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation. This paper examines the dynamics of electricity demand in Pakistan at the aggregate and sectoral levels over the period — Download full text from publisher File URL: You can help correct errors and omissions.

Evidence from panel data for transition countries ,” Energy EconomicsElsevier, vol. If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. Evidence from cointegration and co-feature analysis ,” Journal of Policy ModelingElsevier, vol. Electricity sector reform in developing countries ,” Utilities PolicyElsevier, vol.

A panel cointegration approach ,” Energy EconomicsElsevier, vol. The dynamics of electricity demand in Pakistan: Download full text from publisher File URL: A structural time series analysis ,” Energy EconomicsElsevier, vol. As the access to this document is restricted, you may want to search for a different version of it.

An analysis using the bounds testing approach to cointegration ,” Energy PolicyElsevier, vol. When requesting a correction, please mention this item’s handle: The results reveal that electricity demand is more responsive to changes in income than changes in prices at the aggregate and disaggregate levels. The temperature dependence of electricity demand in the Netherlands ,” Energy PolicyElsevier, vol.

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A structural time series analysis ,” EnergyElsevier, vol. A time series analysis ,” EnergyElsevier, vol. A panel cointegration analysis. The domestic price of non-energy products is positive and significant for aggregate sample in the short run, the domestic price of non-energy products exert significant negative positive impact on electricity demand in the agriculture industrial sectors. If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form.

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New evidence on the consumption—growth nexus ,” Energy PolicyElsevier, vol. An autoregressive distributed lag bounds cointegration approach ,” Energy PolicyElsevier, vol. Please note that corrections may take a couple of weeks to filter through the various RePEc services.

The case of Malaysia ,” Energy PolicyElsevier, vol. Short run and long run income elasticities are positive and statistically significant, supporting the conservation hypothesis. A spatial econometric analysis ,” Energy EconomicsElsevier, vol.

General contact details of provider: New empirical evidence using aggregate data ,” Energy EconomicsElsevier, vol. A threshold panel approach ,” Energy EconomicsElsevier, vol.

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It appears from the results that long run price elasticities are negative and significant at the aggregate level and for the agriculture, commercial, residential sectors and public utilities. Panel cointegration test and Fully Modified Ordinary Least Squares method is employed to determine the long run relationship between electricity consumption, real income, real price of electricity and domestic price of non-energy products.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. This paper examines the dynamics of electricity demand in Pakistan at the aggregate and sectoral levels over the period — An application of long range energy alternatives planning ,” EnergyElsevier, vol.

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An aggregated and disaggregated causality analysis in India and Pakistan ,” Journal of Policy ModelingElsevier, vol. Help us Corrections Found an error or omission? Khan, Muhammad Arshad Abbas, Faisal. You can help correct errors and omissions. Cointegration and co-feature analysis ,” Energy EconomicsElsevier, vol.

The role of policy regime changes ,” Energy PolicyElsevier, vol.

Old wine in a new bottle ,” Energy PolicyElsevier, vol. RePEc uses bibliographic data supplied by the respective publishers.

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The short run price elasticities are significant but low in magnitude, which implies that changes in electricity price exert minimal effect on the electricity consumption in Pakistan. A time varying parameter approach ,” EnergyElsevier, vol. Full text for ScienceDirect subscribers only As the access to this aoa is restricted, you may want to search for a different version of it. Corrections All material on this site has been provided by the respective publishers and authors.

Cointegration and causality analysis ,” Energy PolicyElsevier, vol. A panel cointegration analysis of residential demand elasticities ,” Energy PolicyElsevier, vol. Pakistan’s electricity crisis ,” Energy PolicyElsevier, vol. Exploring panel-specific differences seasom Energy PolicyElsevier, vol. Faisal Abbas Muhammad Arshad Khan. This allows to link your profile to this item. Findings from top-down and bottom-up models ,” Energy PolicyElsevier, vol. The results, thus, provide important information to the agents operating in the electricity market regarding the income and pricing policies and helps in planning the future strategy of electricity demand management.

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