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The impact of economic growth on CO2 emissions in Azerbaijan
Open accessAbstract
This paper investigates the relationship between the economic growth and CO2 emissions in Azerbaijan. A cointegration analysis is conducted over the period 1992–2013. For getting more robust results, Johansen, ARDLBT, DOLS, FMOLS and CCR methods are employed to explore cointegration and estimate long-run coefficients. We use cubic, quadratic and linear specifications and conclude that the last one is an adequate representation for the impact of the economic growth on CO2 emissions in Azerbaijan. The results from the different cointegration methods are consistent with each other and show that the economic growth has a positive and statistically significant impact on the emissions in the long-run implying that the EKC hypothesis does not hold for Azerbaijan. The income elasticity of CO2 emissions, using different methods, is found to be between 0.7 and 0.8. Moreover, we find that any short-run imbalance can be adjusted towards the long-run equilibrium path within less than one year. The paper concludes that measures to increase energy efficiency, carbon pricing instruments in production and international-domestic trade activities, and nationwide social awareness programs to instruct about the negative consequences of pollution can be considered as relevant environmental policies aimed at reducing carbon emissions.
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Cites
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
Transforming Our World: The 2030 Agenda for Sustainable Development
(2018) · A New Era in Global Health · doi:10.1891/9780826190123.ap02 · Cited by 19,351
Testing for a unit root in time series regression
PHILLIPS, P. C. B., & PERRON, P. (1988) · Biometrika · doi:10.1093/biomet/75.2.335 · Cited by 19,155
STATISTICAL ANALYSIS OF COINTEGRATION VECTORS
Johansen, S. (1988) · Journal of Economic Dynamics and Control · doi:10.1016/0165-1889(88)90041-3 · Cited by 17,027
Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root
Dickey, D. A., & Fuller, W. A. (1981) · Econometrica · doi:10.2307/1912517 · Cited by 14,606
Johansen, S., & Juselius, K. (1990) · Oxford Bulletin of Economics and Statistics · doi:10.1111/j.1468-0084.1990.mp52002003.x · Cited by 14,051
Testing the null hypothesis of stationarity against the alternative of a unit root
Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992) · Journal of Econometrics · doi:10.1016/0304-4076(92)90104-y · Cited by 12,633
Breitung, J., & Hamilton, J. D. (1995) · Contemporary Sociology · doi:10.2307/2076916 · Cited by 10,966
Economic growth and the environment
Grossman, G. M., & Krueger, A. B. (1995) · The Quarterly Journal of Economics · doi:10.2307/2118443 · Cited by 9,901
Economic Growth and Income Inequality
Kuznets, S. (2019) · The Gap between Rich and Poor · doi:10.4324/9780429311208-4 · Cited by 8,064
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Ma, D., & Zhu, Q. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.03.041 · Cited by 853
Shao, X., Zhong, Y., Liu, W., & Li, R. Y. M. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.113189 · Cited by 429
Khan, M. K., Teng, J.-Z., & Khan, M. I. (2019) · Environmental Science and Pollution Research · doi:10.1007/s11356-019-05640-x · Cited by 292
Awan, A., Abbasi, K. R., Rej, S., Bandyopadhyay, A., & Lv, K. (2022) · Renewable Energy · doi:10.1016/j.renene.2022.03.017 · Cited by 284
Determinants of green growth in developed and developing countries
Tawiah, V., Zakari, A., & Adedoyin, F. F. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-13429-0 · Cited by 244
Metadata
- Authors
- Mikayilov, J. I., Galeotti, M., & Hasanov, F. J.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 197
- Pages
- 1558-1572
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W2792679216
- Cited by
- 470
- References
- 100
- FWCI
- 62.44
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Mikayilov, J. I., Galeotti, M., & Hasanov, F. J. (2018). The impact of economic growth on CO2 emissions in Azerbaijan. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2018.06.269
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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