ICAR Research Data Repository for Knowledge Management
Disaggregate Energy Consumption and Industrial Output in Pakistan: An Empirical Analysis [Dataset]
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
View Archive Info| Field | Value | |
| Title |
Disaggregate Energy Consumption and Industrial Output in Pakistan: An Empirical Analysis [Dataset]
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| Identifier |
https://doi.org/10.7910/DVN/CDYYC1
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| Creator |
Qazi, Ahmer Qasim
Ahmed, Khalid Mudassar, Muhammad |
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| Publisher |
Harvard Dataverse
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| Description |
The study concentrates on the relationship between disaggregate energy consumption and industrial output in Parkistan by utilizing the Johansen Method of Cointegration. The results confirm the positive effect of disaggregate energy consumption on industrial output. Furthermore, bidirectional causality is identified in the case of oil consumption, whereas unidirectional causality running from electricity consumption to industrial output is observed. Moreover, unidirectional causality has been noticed from industrial output to coal consumption although there is no causality between gas consumption and industrial output. It is obvious that conservative energy policies could be harmful to the industrial production; therefore, the government has to develop innovative energy policies in order to meet the demand for energy. Additionally, the government has to pay serious attention to alternative energy sources such as solar and wind in order to boost the clean industrial growth.
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| Subject |
Disaggregate energy consumption
Industrial output Johansen cointegration test |
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| Date |
2012
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