Environmental Kuznets Curve for sulfur: evidence using GMM estimation and random coefficient panel data models

By George Emm. Halkos. Environment and Development Economics, 2003

242 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/27735ce8f7f76a65cd414895f77d5a1427f65e94

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In Economics and Econometrics

Citations in the corpus

Greenhouse gases emissions, growth and the energy mix in Europe: a dynamic panel data approach (2009, background): “Among others, Halkos (2003) and Metcalf (2008) address the endogeneity problem and use a first-difference-GMM estimator (Arellano and Bond, 1991).”
Empirical Analysis of National Income and SO2 Emissions in Selected European Countries (2006, unknown): “Examples of studies that used all of the first four variables mentioned are Cole et al. (1997), Selden and Song (1994), Stern and Common (2001) and Halkos (2003).”
The impact of government expenditure on the environment: An empirical investigation (2012, unknown): “We are particularly concerned about the dynamic misspecification of the pollutants’ equations as pointed out by Halkos (2003).”
Environmental Kuznets curves: A spatial econometric approach (2006, background): “To the casual observer it nevertheless appears that researchers have recently started to pay much closer attention to the temporal properties of the data examining issues such as non-stationarity, co-integration, autocorrelation and partial adjustment [18,27,35,40].”
Exploring the Relationship between Energy Usage Segregation and Environmental Degradation in N-11 Countries (2017, background): “14 the composition effect reduces intensive energy consumption and toxic emissions, thereby decreasing emissions and reversing the slope of the EKC (Hettige et al., 2000; Halkos, 2003).”
Foreign direct Investment–CO2 emissions nexus in Middle East and North African countries: Importance of biomass energy consumption (2019, methodology): “Through eradicating endogeneity, we put back the forms of orthogonality toward the model parameters to realize unbiased and reliable estimates (Halkos, 2003).”