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The world faces various challenges in terms of environmental sustainability. An increasing world population, the rigidity of traditional production and consumption patterns, the complexity of economic activities, globalization, and harmful emissions intensify environmental pressures. In this context, the evaluation of various environmental policy instruments is important to alleviate environmental pressures and, thus, combat climate change. This study aims to investigate the impact of environmental taxes, renewable energy consumption, and environmental technology on the ecological footprint in OECD countries by using data from 1994 to 2018 and modern panel data techniques. The results of the AMG estimator indicate that environmental taxation and renewable energy consumption play a role in reducing the ecological footprint; however, results imply that environmental technology does not have a statistically significant effect on the ecological footprint. In addition, we applied DCCE and CS-ARDL estimators to obtain robustness results and observed that the findings remained valid. Therefore, the results of the study suggest that regulations to increase the effectiveness of environmental taxes, renewable energy consumption, and environmental technology should be promoted to ensure environmental sustainability. • We examined the impact of environmental taxes on the ecological footprint in OECD countries. • This study applied an advanced panel data model for the period 1994–2018. • Environmental taxes have the effect of reducing the ecological footprint. • DCCE and CS-ARDL approach validated the robustness of the findings. [ABSTRACT FROM AUTHOR]

Considering the enlarging inter-provincial disparities in China as regards carbon emissions and carbon intensity (carbon emissions per unit gross domestic product), this paper is the first study to investigate the inter-provincial carbon imbalance by constructing and employing the Kaya-Zenga index. We use China's panel data of provincial-level carbon emissions over 1995–2016 to quantitatively measure the levels of inter-provincial imbalance and polarization in carbon emissions and carbon intensity. Further, we decompose the Kaya-Zenga index into different contributing factors both regionally and structurally and perform a scenario analysis to identify the corresponding regionally differentiated countermeasures regarding carbon emission reduction. The results show that the imbalance in carbon emissions is mainly caused by imbalances in population scale and income level, while the imbalance in carbon intensity predominantly results from imbalances in energy efficiency and energy mix. In addition, for heavy manufacturing provinces, the respective emission-reduction strategy should aim at lowering energy intensity through local technology improvement and inter-regional technology transfer. For light manufacturing and high technology provinces, carbon emission reduction is harder to be achieved; however, a mix of policies of improving energy efficiency, optimizing energy mix, and industrial upgrading should be implemented. The results of the scenario analysis indicate that reducing imbalance in carbon intensity under different scenarios can lead to a substantial reduction in carbon emissions (up to 10%). • We investigate the inter-provincial carbon imbalance within China. • We construct the Kaya-Zenga index and decompose the index into four contributors. • We use a panel data set of 30 provincial-level regions in China over 1995–2016. • Carbon imbalance is mainly caused by imbalances in population and energy efficiency. • Reducing intra-group imbalance in carbon intensity can abate carbon emissions. [ABSTRACT FROM AUTHOR]