Impact of global value chain embedding on decoupling between China's CO emissions and economic growth: Based on Tapio decoupling and structural decomposition.

With the increasing fragmentation of global production, China's participation in cross-border production sharing activities has had a considerable impact on the nation's economy and carbon dioxide (CO) emissions. This study applied the Tapio model to quantitatively evaluate the decoupling between CO emissions and economic growth in China, dividing the decoupling index based on global value chains (GVCs) and domestic production within the IO framework, and introducing structural decomposition analysis (SDA) to analyze the GVC-related factors to the decoupling. The relevant research results are fourfold.

Weighing China's embodied CO2 emissions and value added under global value chains: Trends, characteristics, and paths.

With the accelerated expansion of global value chains (GVCs), China occupies an increasingly important position in the global production division system, which has important impacts for its economy and environment. Comprehensively measuring the economic benefits and emissions costs of China's participation in GVCs, and striving to achieve a mutually beneficial state of GVC upgrade and low-carbon economic development, are critical issues for China. This study applies the accounting framework of value-added trade and embodied CO emission trade to measure the potential CO emissions cost of China's value-added gains through traditional trade, simple GVC, and complex GVC from 2000 to 2014.

Evolutionary path and driving forces of inter-industry transfer of CO emissions in China: Evidence from structural path and decomposition analysis.

Carbon dioxide (CO) emissions are currently a hot topic of global concern. It is of great significance for reducing CO emissions to fully understand the transfer pattern of CO emissions among industries and the key factors affecting CO emissions. This paper uses the structural path analysis model to explore deeply the main paths of inter-industry transfer of CO emissions in China from 2002 to 2017 and applies the structural path decomposition model to analyze the main factors affecting CO emissions in specific paths from the perspectives of CO emission intensity, intermediate product input structure, final demand structure, per capita final demand, and population size.

Dynamic features and driving forces of indirect CO emissions from Chinese household: A comparative and mitigation strategies analysis.

Controlling CO emissions (CEs) is an important measure to mitigate global climate change. In recent years, the research on household consumption and its environmental impact has become a research hotspot in the field of sustainable development. Taking 2000-2014 as the research period, this paper studies the indirect CO emissions of household consumption (ICEs-HC) in China by using the Multi-region Input-Output model.

Correction to: China's provincial CO emissions and interprovincial transfer caused by investment demand.

The original publication of this paper contains a mistake. The correct image of figure 4 is shown in this paper. The original article has been corrected.

China's provincial CO emissions and interprovincial transfer caused by investment demand.

Based on the China's 1997, 2002, 2007, and 2012 multiregional input-output model, this study calculates China's provincial CO emissions from investment demand and interprovincial transfer of CO emissions caused by investment demand. The findings of this study are as follows: (1) From 1997 to 2012, the CO emissions from China's investment demand have seen rapid growth-the CO emissions from investment demand has increased by 4.52 times, and the per capita CO emissions caused by investment demand has increased by 4.

Study on embodied CO transfer between the Jing-Jin-Ji region and other regions in China: a quantification using an interregional input-output model.

Jing-Jin-Ji region (i.e., Beijing, Tianjin, and Hebei) is China's key development region, but it is also the leading and most serious air pollution region in China.

Interprovincial transfer of embodied energy between the Jing-Jin-Ji area and other provinces in China: A quantification using interprovincial input-output model.

Commodity trade between regions implies a large amount of energy transfer. As an important economic growth pole of China, the Jing-Jin-Ji area (Beijing-Tianjin-Hebei) is also one of the areas with the largest energy consumption in China. Moreover, the primary energy consumer goods in this area are fossil fuels, such as coal.

Estimation of the contribution of exports to the provincial economy: an analysis based on China's multi-regional input-output tables.

This paper developed an estimation model for the contribution of exports to a country's regional economy based on the Chenery-Moses model and conducted an empirical analysis using China's multi-regional input-output tables for 1997, 2002, and 2007. The results indicated that China's national exports make significantly different contributions to the provincial economy in various regions, with the greatest contribution being observed in the eastern region and the smallest in the central region. The provinces are also subjected to significantly different export spillover effects.