Economic development and CO2 emissions: A nonparametric panel approach
By Théophile T. Azomahou, François Laisney, Phu Nguyen Van. 2006
452 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/e932a14eae656f8489c8f72d7cf1da76d69a82ed
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Muhammad Shahbaz
- Avik Sinha
- Ilhan Ozturk
- Shunsuke Managi
- Zhilun Jiao
- M. Mazzanti
- Anis Omri
- Rajesh K Sharma
In Renewable Energy, Sustainability and the Environment
- Muhammad Shahbaz
- Avik Sinha
- Shunsuke Managi
- Ilhan Ozturk
- Zhilun Jiao
- Jie He
- Rajesh K Sharma
- Patrick Richard
Citations in the corpus
- The inequality-emissions nexus in the context of trade and development: A quantile regression approach (2017, unknown): “Whereas a few scholars have applied quantile regressions (Mills and White, 2009, Flores et al., 2014) or semi-parametric methods (Azomahou et al., 2006) to the assessment of the EKC hypothesis, this article applies them to the assessment of the inequality-emissions nexus and the trade/FDI-emissions…”
- Financial Development, Environmental Quality, Trade and Economic Growth: What Causes What in MENA Countries (2015, unknown): “Where as some research found a linear relationship between CO2 emissions and economic growth (e.g. Shafik, 1994; Azomahou et al., 2006) others reported an inverted U-shaped”
- Analyzing nonlinear impact of economic growth drivers on CO2 emissions: Designing an SDG framework for India (2020, background): “Similarly, Azomahou et al. (2006) confirm a positive association between environmental pollution and per capita income for the 1960–1996 period.”
- A panel data heterogeneous Bayesian estimation of environmental Kuznets curves for CO2 emissions (2010, background): “In addition, as pointed out by Azomahou et al. (2006), there are reasons for this kind of econometric specification.”
- A Cointegration Analysis of Real GDP and CO2 Emissions in Transitional Countries (2017, methodology): “[5] went beyond the standard parametric statistics using the non-parametric kernel-based estimator to assess the relationship between CO2 emissions and GDP”
- Forecasting The Path of U.S. CO2 Emissions Using State-Level Information (2012, unknown): “Holtz-Eakin and Selden (1995) found a diminishing MPE only at the highest levels of income, which is a finding consistent with the most recent studies by Vollebergh, Melenberg, and Dijkgraaf (2009) and Azomahou, Laisney, and Van (2006).”
- The CO2-Growth nexus revisited: A nonparametric analysis for G7 economies over nearly two centuries (2017, unknown): “Azomahou et al. (2006) examine the empirical relation between CO2 emissions and GDP per capita during the period 1960-1996, using a panel of 100 countries and relying on the nonparametric pool ability test with country-specific effectsof Baltagi et al. (1996).”
- Taking the "U" out of Kuznets: a comprehensive analysis of the EKC and environmental degradation. (2009, background): “For example, Jha and Murthy (2003) estimate global environmental degradation with an environmental degradation index (EDI) incorporating six environmental indicators: annual per capita fresh water withdrawal, annual fresh water withdrawal as a percentage of water resources, per capita paper consumpt”