Environmental protection tax law on the synergy of pollution reduction and carbon reduction in China: Evidence from a panel data of 107 cities

Sharing economy, technological innovation and carbon emissions: Evidence from Chinese cities

Amid global climate imperatives and intensified economic competition, pivoting from China's conventional growth paradigms to innovative economic catalysts emerges as pivotal for its transformative agenda. Drawing on panel data from 141 principal urban conglomerates spanning 2011–2021, this investigation delves into the intricate nexus between the digital economy and carbon total factor productivity. Our empirical analysis unveils a U-shaped trajectory characterizing the digital economy - carbon total factor productivity interplay, accompanied by a congruent spatial spillover dynamic. While digital economy fortifies environmental governance mechanisms through amplified data and media channels, such regulatory frameworks, albeit efficacious in emission abatement, may inadvertently impede economic vitality, thus attenuating carbon total factor productivity. Progressing from digital economy's foundational phase to its comprehensive deployment, its reverberations on capital productivity manifest in a U-shaped curve, invigorating local carbon total factor productivity while potentially undermining adjacent regions. This digital economy - carbon total factor productivity interrelation is accentuated in advanced, non-resource-reliant metropolises with subdued innovation propensities. This discourse proffers nuanced policy implications for sculpting digital economy trajectories and bolstering carbon total factor productivity in a sustainable context. 

The impact of digital economy on carbon total factor productivity: A spatial analysis of major urban agglomerations in China.

In this paper we investigate the relationship between economic growth and industrial pollution emissions in China using data for 112 major cities between 2001 and 2004. Using disaggregated data we separate FDI inflows from Hong Kong, Macao and Taiwan from those of other foreign economies. We examine four industrial water pollution indicators (wastewater, chemical oxygen demand, hexavalent chromium compounds, and petroleum-like matter) and four industrial air pollution indicators (waste gas, sulphur dioxide, soot and dust). Our results suggest that most air and water emissions rise with increases in economic growth at current income levels. The share of total output produced by firms from Hong Kong, Macao and Taiwan has a positive effect on emissions although this effect is only significant for three industrial water pollution emissions. The share of total output produced by firms from other foreign economies can be beneficial, detrimental or neutral, depending on the pollutants considered.

Growth, Foreign Direct Investment and the Environment: Evidence from Chinese Cities

Recent developments in attaining carbon peaks and achieving carbon neutrality have had enormous effects on the world economy. Digitalization has been considered a viable way to curtail carbon emissions (CE) and promote sustainable economic development, but scant empirical studies investigate the link between digitalization and CE. In this context, this study constructs the digitalization index using the entropy value method and spatial Markov chain, and the spatial Durbin model is employed to analyze its impact mechanism and influence on urban CE in 265 prefecture-level cities and municipalities in China from 2011 to 2017. The results indicate that: (1) The overall development level of the digital economy (DE) posed a significant spatial effect on urban environmental pollution. However, the effect varies according to the different neighborhood backgrounds. (2) The DE impedes urban environmental deterioration directly and indirectly through the channels of industrial structure, inclusive finance, and urbanization. (3) The development of the DE significantly reduces pollution in cities belonging to urban agglomerations, while the development of the DE escalates emissions in nonurban agglomeration cities. Finally, based on the results, important policy implications are put forward to improve the environmental quality of cities.

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Digital Economy and Environmental Quality: Insights from the Spatial Durbin Model

We use the 2004–2016 China prefecture-level city data to construct a STIRPAT-based spatial econometric model as an empirical test for the driving factors of city carbon emissions. Results s...

Driving factors of China’s city-level carbon emissions from the perspective of spatial spillover effect

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Driving factors of China’s city-level carbon emissions from the perspective of spatial spillover effect