GRP and environmental pollution in Russian regions: spatial econometric analysis (in Russian)

Vera Ivanova ()

Quantile, 2019, issue 14, 53-62

Abstract: The article performs empirical estimation of the relationship between per capita income and per capita pollutant emissions in Russian regions taking into account their spatial interdependence. It is shown that the pollutant emissions in the Russian regions are spatially autocorrelated. The estimation results confirm an inverted U-shaped relationship between per capita income and per capita pollution at the regional level. The estimates of the income turning point suggest that most Russian regions are on an upward part of the environmental Kuznets curve, i.e., an increase in GRP is associated with higher pollution levels.

Keywords: environmental Kuznets Curve; spatial econometrics; Moran’s index; Russian regions (search for similar items in EconPapers)
JEL-codes: C23 O13 O44 Q53 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:qnt:quantl:y:2019:i:14:p:53-62

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