Empirical Research on China’s Carbon Productivity Decomposition Model Based on Multi-Dimensional Factors
AbstractBased on the international community’s analysis of the present CO2 emissions situation, a Log Mean Divisia Index (LMDI) decomposition model is proposed in this paper, aiming to reflect the decomposition of carbon productivity. The model is designed by analyzing the factors that affect carbon productivity. China’s contribution to carbon productivity is analyzed from the dimensions of influencing factors, regional structure and industrial structure. It comes to the conclusions that: (a) economic output, the provincial carbon productivity and energy structure are the most influential factors, which are consistent with China’s current actual policy; (b) the distribution patterns of economic output, carbon productivity and energy structure in different regions have nothing to do with the Chinese traditional sense of the regional economic development patterns; (c) considering the regional protectionism, regional actual situation need to be considered at the same time; (d) in the study of the industrial structure, the contribution value of industry is the most prominent factor for China’s carbon productivity, while the industrial restructuring has not been done well enough. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Lu, J.; Fan, W.; Meng, M. Empirical Research on China’s Carbon Productivity Decomposition Model Based on Multi-Dimensional Factors. Energies 2015, 8, 3093-3117.
Lu J, Fan W, Meng M. Empirical Research on China’s Carbon Productivity Decomposition Model Based on Multi-Dimensional Factors. Energies. 2015; 8(4):3093-3117.Chicago/Turabian Style
Lu, Jianchang; Fan, Weiguo; Meng, Ming. 2015. "Empirical Research on China’s Carbon Productivity Decomposition Model Based on Multi-Dimensional Factors." Energies 8, no. 4: 3093-3117.