Exploring the regional characteristics of inter-provincial CO2 emissions in China: An improved fuzzy clustering analysis based on particle swarm optimization
By Shiwei Yu, Yi-Ming Wei, Jing-Li Fan, Xian Zhang, Ke Wang. 2012
95 citations recorded by the source corpus.
Subfields: Automotive Engineering, Economics and Econometrics, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/90e4862796533d6fb2672340b1efd4b0b913c985
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
In Economics and Econometrics
In Environmental Engineering
Citations in the corpus
- An empirical analysis of the green paradox in China: From the perspective of fiscal decentralization (2017, background): “Simultaneously, carbon emission is a dynamic process and has specific regional characteristics attributable to the similarities between the resource endowment and the energy consumption structure among provinces (Yu et al., 2012).”
- Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition (2014, methodology): “Provinces with high carbon intensity in western China, such as Shanxi, Ningxia, and Inner Mongolia, bear most of the carbon emissions transferred from eastern provinces, including Beijing and Shanghai (Yu et al., 2012).”
- China׳s 19-year city-level carbon emissions of energy consumptions, driving forces and regionalized mitigation guidelines (2014, background): “Many researches have been conducted to assess the CO2 emissions of energy consumptions and economic activities in China [6,7,9–15].”
- The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China (2014, background): “, carbon emission intensity) by 40–45 % by 2020 compared with the level in 2005 (Yu et al. 2012).”
- Empirical study of the willingness of consumers to purchase low-carbon products by considering carbon labels: A case study (2017, background): “China committed to reducing the intensity of carbon emissions by 40%e45% by 2020 at the United Nations Climate Change Conference (Yu et al., 2012; Xiang et al., 2013).”