The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
The role of technological innovation in environmental pollution, energy consumption and sustainable economic growth: Evidence from South Asian economies
Open accessAbstract
This study examines the causal relationship among technological innovation (TI), environment pollution (EP), energy consumption (EC) and sustainable economic growth (SEG) from selected South Asian economies. In order to identify the causal association between energy growth and nexus of CO2 emissions, this study is employed the premises of the EKC framework. This study has used annual time series data set from world development indicator (WDI), start from 1990 to 2019. The result of a fully modified ordinary least square (FMOLS) method describes a significantly worsen the quality environment in the south Asian region. The individual country as Bangladesh shows a positively significant impact on the CO2 emissions and destroying the level of environment regarding non-renewable and renewable energy and technological innovation index. However, negative and positive values of growth (GDP) and square of GDP respectively confirm the EKC hypothesis in this region. This study has identified the causality between GDP growth and carbon emission and found bidirectional causality between economic growth and energy use.
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Cites
Testing for unit roots in heterogeneous panels
Im, K. S., Pesaran, M. H., & Shin, Y. (2003) · Journal of Econometrics · doi:10.1016/s0304-4076(03)00092-7 · Cited by 15,435
Pedroni, P. (2004) · Econometric Theory · doi:10.1017/s0266466604203073 · Cited by 6,669
The role of renewable energy in the global energy transformation
Gielen, D., Boshell, F., Saygin, D., Bazilian, M. D., Wagner, N., & Gorini, R. (2019) · Energy Strategy Reviews · doi:10.1016/j.esr.2019.01.006 · Cited by 4,973
Complexity of coupled human and natural systems
Liu, J., Dietz, T., Carpenter, S. R., Alberti, M., Folke, C., Moran, E., Pell, A. N., Deadman, P., Kratz, T., Lubchenco, J., et al. (2007) · Science · doi:10.1126/science.1144004 · Cited by 3,624
The Entropy Law and the Economic Process.
Green, M. J., & Georgescu-Roegen, N. (1973) · The Economic Journal · doi:10.2307/2231206 · Cited by 2,985
Testing for stationarity in heterogeneous panel data
Hadri, K. (2000) · The Econometrics Journal · doi:10.1111/1368-423x.00043 · Cited by 2,981
An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey
Halicioglu, F. (2009) · Energy Policy · doi:10.1016/j.enpol.2008.11.012 · Cited by 1,662
Environment Kuznets curve for CO2 emissions: A cointegration analysis for China
Jalil, A., & Mahmud, S. F. (2009) · Energy Policy · doi:10.1016/j.enpol.2009.07.044 · Cited by 1,208
Ben Jebli, M., Ben Youssef, S., & Ozturk, I. (2016) · Ecological Indicators · doi:10.1016/j.ecolind.2015.08.031 · Cited by 911
CO2 emissions, energy usage, and output in Central America
Apergis, N., & Payne, J. E. (2009) · Energy Policy · doi:10.1016/j.enpol.2009.03.048 · Cited by 861
Cited by
Cao, X., Kannaiah, D., Ye, L., Khan, J., Shabbir, M. S., Bilal, K., & Tabash, M. I. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-022-18772-4 · Cited by 78
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Metadata
- Authors
- Mughal, N., Arif, A., Jain, V., Chupradit, S., Shabbir, M. S., Ramos-Meza, C. S., & Zhanbayev, R.
- Venue
- Energy Strategy Reviews
- Publisher
- Elsevier BV
- Published
- 2022-01
- Volume
- 39
- Pages
- 100745
- ISSN
- 2211-467X (ISSN-L)
- OpenAlex
- W3216005014
- Cited by
- 328
- References
- 44
- FWCI
- 41.61
- Type
- journal article
- Language
- en
- Open access
- gold
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- Mughal, N., Arif, A., Jain, V., Chupradit, S., Shabbir, M. S., Ramos-Meza, C. S., & Zhanbayev, R. (2022). The role of technological innovation in environmental pollution, energy consumption and sustainable economic growth: Evidence from South Asian economies. Energy Strategy Reviews. https://doi.org/10.1016/j.esr.2021.100745
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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.
