The relationship between energy, pollution, economic growth and corruption: A Partial Least Squares Structural Equation Modeling (PLS-SEM) approach
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Cited by:
- Jeerawadee Pumjaroen & Preecha Vichitthamaros & Yuthana Sethapramote, 2020. "Forecasting Economic Cycle with a Structural Equation Model: Evidence from Thailand," International Journal of Economics and Financial Issues, Econjournals, vol. 10(3), pages 47-57.
- Dmitry Burakov & Alexander Bass, 2019. "Institutional determinants of environmental pollution in Russia: a non-linear ARDL approach," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(1), pages 510-524, September.
- Bin Wang & Qiuxia Zheng & Ao Sun & Jie Bao & Dianting Wu, 2021. "Spatio-Temporal Patterns of CO 2 Emissions and Influencing Factors in China Using ESDA and PLS-SEM," Mathematics, MDPI, vol. 9(21), pages 1-24, October.
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- Nicolae Stef & Sami Ben Jabeur, 2020. "Climate Change Legislations and Environmental Degradation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(4), pages 839-868, December.
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Keywords
CO2 emissions; economic growth; energy consumption; corruption; partial least squares structural equation modeling (PLS-SEM);All these keywords.
JEL classification:
- N7 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services
- Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
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