How does financial development alleviate pollutant emissions in China? A spatial regression analysis.

Assessing the environmental effects of financial development has an important theoretical and practical reference for the government to achieve the goal of sustainable development. Financial development is affected dramatically by the real economy and typically shows nonlinear characteristics. This study aims to investigate the nonlinearity between financial development and pollutant emissions while considering the various stages of financial development among regions.

The impact of semi-urbanization on carbon emissions: a spatial econometric perspective.

Whether semi-urbanization can effectively help reduce carbon emissions has become increasingly attractive to scholars and policymakers. To the knowledge of the authors, there are no empirical studies that were conducted to explore the impact of semi-urbanization on carbon emissions from a spatial perspective. By employing panel data for the years between 2000 and 2014 of 30 Chinese provinces, this paper examines the relationship between semi-urbanization and carbon emissions by using a spatial regression method.