Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition

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The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China (2014, background): “Therefore, a great deal of attention has been paid across the world to controlling carbon emissions and developing a low-carbon economy; in particular, some emerging countries such as China are facing great pressure to reduce carbon emissions and its intensity from the international community (Yu et”
How can China achieve its Intended Nationally Determined Contributions by 2030? A multi-criteria allocation of China’s carbon emission allowance (2019, background): “[18] measured the contribution of 13 factors to the carbon emissions of 30 Chinese provinces and then allocated the national CEA to each province on the basis of the anticipated growth rate of each factor in 2020.”
An empirical analysis of the green paradox in China: From the perspective of fiscal decentralization (2017, background): “Yu et al. (2014) has proposed a detailed allocation plan for China's provincial carbon emission reduction targets.”
Empirical study of the willingness of consumers to purchase low-carbon products by considering carbon labels: A case study (2017, background): “However, China has the world’s highest carbon emissions because high-speed economic growth is accompanied by high-carbon emissions, and thus there is a huge pressure to reduce emissions (IEA, 2011; Yu et al., 2014).”