Environmental Kuznets curves: A spatial econometric approach

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How researchers see this paper

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Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions (2018, background): “As Maddison (2006) points out, most of the EKC research focuses on time-series issues such as stationarity, co-integration, etc.”
Industrial CO2 intensity, indigenous innovation and R&D spillovers in China’s provinces (2014, background): “Only a few environmental studies [13,21,22] have taken into account similar spillover effects.”
Estimating the environmental Kuznets curve for ecological footprint at the global level: A spatial econometric approach (2013, methodology): “Maddison (2006) proposes that the spatial error model can also be approximated by an autoregressive lag in both the dependent and independent variables.”
Economic growth and pollutant emissions in China: a spatial econometric analysis (2014, background): “While SLM allows for the observed value of nearby observations, SEM deals specifically with spatial autocorrelation in the error terms (Chi and Zhu 2008; Maddison 2006).”
Environmental Kuznets Curves for Carbon Emissions: A Critical Survey (2009, unknown): “This assumption has recently been challenged in papers using spatial econometric techniques (Maddison, 2006, Auffhammer and Carson, 2009).13 There are several reasons why spatial relationships may be present in the income-pollution relationship.”