School of Economics & Management, 74591China University of Petroleum (East China), Qingdao, Shandong, China.
School of Economics & Management, 518081Liupanshui Normal University, Liupanshui, Guizhou, China.
Sci Prog. 2023 Jan-Mar;106(1):368504231163145. doi: 10.1177/00368504231163145.
Given the increasing interest in keeping global warming below 1.5°C, carbon emissions reduction has become a hot topic. However, the regional disparities and the driving factors were not paid enough attention. This article established an indicator to describe the catch-up effort of different regions and proposed a temporal-spatial production-theoretical decomposition model using meta-frontier and global-frontier to capture the driving forces of the catch-up effort of different provinces to benchmarking provinces. The new model was applied to analyze China's regional carbon emissions during 2007 to 2018. The main findings from the empirical study are: (1) Overall, the regional carbon emissions and their spatial variation kept increasing during the study period. (2) Economic activity, potential carbon factor, carbon-abatement technology efficiency and regional carbon-abatement technology gap were the main drivers. (3) The improvement efforts of carbon-abatement, energy-saving technical efficiency, and potential energy intensity were the dominant factors inhibiting the growth of carbon emissions. (4) The improvement efforts of advanced technology and potential energy intensity helped to reduce the regional gaps, but their impacts varied considerably across regions in China.
鉴于人们对将全球变暖控制在 1.5°C 以下的兴趣日益浓厚，减少碳排放已成为热门话题。然而，区域差异和驱动因素并没有得到足够的重视。本文建立了一个指标来描述不同地区的追赶努力程度，并提出了一个时空生产理论分解模型，利用前沿和全局前沿来捕捉不同省份追赶基准省份的努力的驱动因素。该新模型应用于分析 2007 年至 2018 年中国的区域碳排放。实证研究的主要发现包括：（1）总体而言，研究期间区域碳排放及其空间变化持续增加。（2）经济活动、潜在碳系数、碳减排技术效率和区域碳减排技术差距是主要驱动因素。（3）碳减排、节能技术效率和潜在能源强度的改进努力是抑制碳排放增长的主要因素。（4）先进技术和潜在能源强度的改进努力有助于缩小区域差距，但对中国不同地区的影响差异很大。
