Residential Electricity Use Demand Estimation in Khuzestan Province
In contrast with other source of energy, electricity besides havinggreat importance in production and consumption, plays an importantrole in economic & social decision – making process. During lastyears, the variations procedure of residential electricity use has anincreasing scale. Through ١٩٧٧...
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| Format: | Article |
| Language: | fas |
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پژوهشگاه حوزه و دانشگاه
2005-09-01
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| Series: | جستارهای اقتصادی |
| Subjects: | |
| Online Access: | https://iee.rihu.ac.ir/article_319_d1eaf0a5a45ec55afa163891add78b8c.pdf |
| _version_ | 1797294065908187136 |
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| author | Elham Pourazarm |
| author_facet | Elham Pourazarm |
| author_sort | Elham Pourazarm |
| collection | DOAJ |
| description | In contrast with other source of energy, electricity besides havinggreat importance in production and consumption, plays an importantrole in economic & social decision – making process. During lastyears, the variations procedure of residential electricity use has anincreasing scale. Through ١٩٧٧ to ٢٠٠١, total residential use ofelectricity in Khuzestan province had increased tenfold and annualuse of every subscriber increases threefold.The article tends to estimate residential electricity use demandbased on studies from ١٩٥١ to ٢٠٠٢ in iran and those in othercountries through ١٩٧٨ to ٢٠٠٠.Both long and short run equations are estimated by (OLS)(ordinary least squares) method and ECM (error correction model)method in turn. Time series, considered in this article, are between١٩٨٨ and ٢٠٠١. In this study, Time series are stationary, moreoverestimated models consist with classical hypothesis.Regression of the model shows that long-run price elasticity is -٠.٩٧ and long-run income elasticity is ١.٢٢, in short – run, they are -٠.٢٢ and ٠.٥٤. Gas as a substitution for electricity has negativecoefficient in the model, therefore, the less the price of gas, the morethe electricity use and then, both gas & electricity will be usedsimultaneously.One of the reasons may be rising of temperature in buildingsbecause of using gas for cooking, boiling water or using lamps (whichproduce heat), and thereafter, using air – conditioning and coolingappliances to lower the temperature in hot months of year (about ٧months). These are the most using electricity appliances.Comparing income and price elasticities of residential electricitydemand in Khuzestan province, it can be concluded that electricitydemand is affected by price and income policies Income policies havemore influence than price policies. |
| first_indexed | 2024-03-07T21:23:50Z |
| format | Article |
| id | doaj.art-54aaa0d4e78b4aa9bca2cd1deff0ada1 |
| institution | Directory Open Access Journal |
| issn | 1735-3300 2588-5812 |
| language | fas |
| last_indexed | 2024-03-07T21:23:50Z |
| publishDate | 2005-09-01 |
| publisher | پژوهشگاه حوزه و دانشگاه |
| record_format | Article |
| series | جستارهای اقتصادی |
| spelling | doaj.art-54aaa0d4e78b4aa9bca2cd1deff0ada12024-02-27T06:52:48Zfasپژوهشگاه حوزه و دانشگاهجستارهای اقتصادی1735-33002588-58122005-09-0124139185319Residential Electricity Use Demand Estimation in Khuzestan ProvinceElham Pourazarm0Faculty Member of Azad UniversityIn contrast with other source of energy, electricity besides havinggreat importance in production and consumption, plays an importantrole in economic & social decision – making process. During lastyears, the variations procedure of residential electricity use has anincreasing scale. Through ١٩٧٧ to ٢٠٠١, total residential use ofelectricity in Khuzestan province had increased tenfold and annualuse of every subscriber increases threefold.The article tends to estimate residential electricity use demandbased on studies from ١٩٥١ to ٢٠٠٢ in iran and those in othercountries through ١٩٧٨ to ٢٠٠٠.Both long and short run equations are estimated by (OLS)(ordinary least squares) method and ECM (error correction model)method in turn. Time series, considered in this article, are between١٩٨٨ and ٢٠٠١. In this study, Time series are stationary, moreoverestimated models consist with classical hypothesis.Regression of the model shows that long-run price elasticity is -٠.٩٧ and long-run income elasticity is ١.٢٢, in short – run, they are -٠.٢٢ and ٠.٥٤. Gas as a substitution for electricity has negativecoefficient in the model, therefore, the less the price of gas, the morethe electricity use and then, both gas & electricity will be usedsimultaneously.One of the reasons may be rising of temperature in buildingsbecause of using gas for cooking, boiling water or using lamps (whichproduce heat), and thereafter, using air – conditioning and coolingappliances to lower the temperature in hot months of year (about ٧months). These are the most using electricity appliances.Comparing income and price elasticities of residential electricitydemand in Khuzestan province, it can be concluded that electricitydemand is affected by price and income policies Income policies havemore influence than price policies.https://iee.rihu.ac.ir/article_319_d1eaf0a5a45ec55afa163891add78b8c.pdfordinary least squaresaverage of family annual incomecpi indexerror correction methodstationary variableunit root test |
| spellingShingle | Elham Pourazarm Residential Electricity Use Demand Estimation in Khuzestan Province جستارهای اقتصادی ordinary least squares average of family annual income cpi index error correction method stationary variable unit root test |
| title | Residential Electricity Use Demand Estimation in Khuzestan Province |
| title_full | Residential Electricity Use Demand Estimation in Khuzestan Province |
| title_fullStr | Residential Electricity Use Demand Estimation in Khuzestan Province |
| title_full_unstemmed | Residential Electricity Use Demand Estimation in Khuzestan Province |
| title_short | Residential Electricity Use Demand Estimation in Khuzestan Province |
| title_sort | residential electricity use demand estimation in khuzestan province |
| topic | ordinary least squares average of family annual income cpi index error correction method stationary variable unit root test |
| url | https://iee.rihu.ac.ir/article_319_d1eaf0a5a45ec55afa163891add78b8c.pdf |
| work_keys_str_mv | AT elhampourazarm residentialelectricityusedemandestimationinkhuzestanprovince |