The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
Impact of globalization, economic factors and energy consumption on CO2 emissions in Pakistan
Abstract
This research scrutinizes the impact of globalization, economic factors and energy consumption on CO2 emissions in Pakistan from 1971 to 2016 by utilizing dynamic ARDL simulations model Jordan and Philips (2018). Dynamic ARDL simulations model has capability to predict the actual positive and negative change in the independent variables and its effect on the dependent variable. The examined results of dynamic ARDL simulations indicates that Energy consumption, financial development, trade, foreign direct investment, economic globalization, social globalization and political globalization have positive effect on CO2 emissions in Pakistan while urbanization, economic growth and innovation have negative effect on CO2 emissions in Pakistan while in the short run the examined results of dynamic ARDL simulations indicate that energy consumption, urbanization, economic growth, financial development, economic globalization, social globalization and political globalization have positive effect on CO2 emissions in Pakistan while trade, innovation and foreign direct investment have negative effect on CO2 emissions. Based on the results of this study policy implications are suggested for Pakistan.
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Cites
Co-integration and error correction: representation, estimation and testing
Engle, R. F., & Granger, C. W. J. (1987) · Econometrica · doi:10.2307/1913236 · Cited by 32,007
Bounds testing approaches to the analysis of level relationships
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001) · Journal of Applied Econometrics · doi:10.1002/jae.616 · Cited by 20,385
Johansen, S., & Juselius, K. (1990) · Oxford Bulletin of Economics and Statistics · doi:10.1111/j.1468-0084.1990.mp52002003.x · Cited by 14,051
Pooled Mean Group Estimation of Dynamic Heterogeneous Panels
Pesaran, M. H., Shin, Y., & Smith, R. P. (1999) · Journal of the American Statistical Association · doi:10.1080/01621459.1999.10474156 · Cited by 6,683
Frankel, J. A., & Romer, D. (1999) · American Economic Review · doi:10.1257/aer.89.3.379 · Cited by 5,384
Environmental Kuznets curve hypothesis: a survey
Dinda, S. (2004) · Ecological Economics · doi:10.1016/j.ecolecon.2004.02.011 · Cited by 4,106
Does globalization affect growth? Evidence from a new index of globalization
Dreher, A. (2006) · Applied Economics · doi:10.1080/00036840500392078 · Cited by 3,178
Is Free Trade Good for the Environment?
Antweiler, W., Copeland, B. R., & Taylor, M. S. (2001) · American Economic Review · doi:10.1257/aer.91.4.877 · Cited by 3,003
Some properties of time series data and their use in econometric model specification
Granger, C. W. J. (1981) · Journal of Econometrics · doi:10.1016/0304-4076(81)90079-8 · Cited by 2,402
Idris, M. H., Jafari, H., Harandi, S. E., Mirshahi, M., & Koleyni, S. J. (2012) · Advanced materials research · Cited by 2,357
Cited by
Ahmed, Z., Nathaniel, S. P., & Shahbaz, M. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.125529 · Cited by 302
Ike, G. N., Jaff, Y. D., & Aghazadeh, S. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.130719 · Cited by 28
Metadata
- Authors
- Khan, M. K., Teng, J.-Z., Khan, M. I., & Khan, M. O.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 688
- Pages
- 424-436
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W2953174837
- Cited by
- 561
- References
- 89
- FWCI
- 89.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- Khan, M. K., Teng, J.-Z., Khan, M. I., & Khan, M. O. (2019). Impact of globalization, economic factors and energy consumption on CO2 emissions in Pakistan. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2019.06.065
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