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Cited by 609

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The relationship between energy consumption, economic growth and carbon dioxide emissions in Pakistan

Open access
Khan, Muhammad Kamran, Khan, Muhammad Imran, Rehan, Muhammad·2020·Financial Innovation

Abstract

Developing countries are facing the problem of environmental degradation. Environmental degradation is caused by the use of non-renewable energy consumptions for economic growth but the consequences of environmental degradation cannot be ignored. This primary purpose of this study is to investigate the nexus between energy consumption, economic growth and CO 2 emission in Pakistan by using annual time series data from 1965 to 2015. The estimated results of ARDL indicate that energy consumption and economic growth increase the CO2 emissions in Pakistan both in short run and long run. Based on the estimated results it is recommended that policy maker in Pakistan should adopt and promote such renewable energy sources that will help to meet the increased demand for energy by replacing old traditional energy sources such as coal, gas, and oil. Renewable energy sources are reusable that can reduce the CO2 emissions and also ensure sustainable economic development of Pakistan.

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Metadata

Authors
Khan, M. K., Khan, M. I., & Rehan, M.
Venue
Financial Innovation
Published
2020-01-08
Volume
6
Issue
1
ISSN
2199-4730 (ISSN-L)
OpenAlex
W2999758982
Cited by
609
References
1
FWCI
90.09
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: The relationship between energy consumption, economic growth and carbon dioxide emissions in Pakistan. https://app.cochat.ai/papers/10.1186/s40854-019-0162-0
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Khan, M. K., Khan, M. I., & Rehan, M. (2020). The relationship between energy consumption, economic growth and carbon dioxide emissions in Pakistan. Financial Innovation. https://doi.org/10.1186/s40854-019-0162-0

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.