sustainability Article Influential Factors Regarding Carbon Emission Intensity in China: A Spatial Econometric Analysis from a Provincial Perspective 1, 1, 1 1 2, Li-Ming Xue y, Shuo Meng y, Jia-Xing Wang , Lei Liu and Zhi-Xue Zheng * 1 Faculty of Energy & Mining, China University of Mining & Technology, Beijing (CUMTB), Beijing 100083, China;
[email protected] (L.-M.X.);
[email protected] (S.M.);
[email protected] (J.-X.W.);
[email protected] (L.L.) 2 College of Engineering, Peking University, Beijing 100871, China * Correspondence:
[email protected] These authors contributed equally to this work and should be considered co-first authors. y Received: 2 September 2020; Accepted: 28 September 2020; Published: 1 October 2020 Abstract: Emission reduction strategies based on provinces are key for China to mitigate its carbon emission intensity (CEI). As such, it is valuable to analyze the driving mechanism of CEI from a provincial view, and to explore a coordinated emission mitigation mechanism. Based on spatial econometrics, this study conducts a spatial-temporal effect analysis on CEI, and constructs a Spatial Durbin Model on the Panel data (SDPM) of CEI and its eight influential factors: GDP, urbanization rate (URB), industrial structure (INS), energy structure (ENS), energy intensity (ENI), technological innovation (TEL), openness level (OPL), and foreign direct investment (FDI). The main findings are as follows: (1) overall, there is a significant and upward trend of the spatial autocorrelation of CEI on 30 provinces in China. (2) The spatial spillover effect of CEI is positive, with a coefficient of 0.083.