Spatio-temporal dynamic evolution of carbon emission intensity and the effectiveness of carbon emission reduction at county level based on nighttime light data. (15th August 2022)

• Record Type: Journal Article
• Authors: Liu, Qingfang; Song, Jinping; Dai, Teqi; Shi, An; Xu, Jianhui; Wang, Enru
• Is Part Of: Journal of cleaner production. Volume 362(2022)
• Publication Date: 2022-08-15
• Subjects: Carbon emission reduction -- Carbon emission intensity -- Spatial Markov chain -- Qinghai province -- Qinghai-tibet plateau; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2022.132301
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: Accelerating carbon emission reduction is conducive to protecting the ecological security of the Qinghai-Tibet Plateau. Based on a case study of 41 counties in Qinghai Province, China, this study explored the characteristics regarding the spatio-temporal dynamic evolution of carbon emission intensity (CEI) by using the nonparametric kernel density estimation, spatial Markov chain, and spatial variogram model and used the corrective coefficient to examine the effectiveness of the decrease of CEI. The main conclusions are as follows: First, the CEI of most counties showed a decreasing trend, although a few counties exhibited unstable CEI increase through the study period. Second, county-level changes in CEI exhibited club convergence and spatial correlation, and the county-level spatial differences in CEI narrowed. Finally, the decrease of CEI in some counties was lower than the provincial average suggesting that, even at the provincial level, the principle of common but differentiated responsibility should be observed when promoting carbon emission reduction. This study provides several recommendations to promote the sustainable development of Qinghai Province.