摘要
基于空间技术差异和时间技术进步的双维异质性视角,构建了全局共同前沿生产技术集下的IDA-PDA综合分解框架,探究了中国八大综合经济区2005-2018年的碳排放特征与9种驱动因素,在数量上明确了时空技术追赶效应对碳排放变动的重要影响。研究发现:在全国层面,经济活动是碳排放增长的决定性因素,强度效应对碳排放增长的抑制作用逐渐减弱,而追赶效应对碳排放增长的抑制作用越来越明显;在经济区层面,除了西北综合经济区之外,其余各个综合经济区均实现了碳排放增幅放缓,绩效效应对八大经济区碳排放变动的影响均不大;在省级层面,大部分省份或地区的潜在碳排放因子效应、经济活动效应和碳排放空间追赶效应促进了碳排放,潜在能源强度效应和碳排放时间追赶效应抑制了碳排放,而经济产出的时间和空间追赶效应在不同省份的作用方向不同。据此,提出了转变增长方式、优化能源消费结构、推行总量控制策略和实行区域协同减排等政策建议。
From the perspective of spatial and temporal technical heterogeneities, this paper proposes an IDA-PDA decomposition framework based on global meta-frontier production technology. And then, it investigates the regional differences and nine driving factors of carbon emissions in eight comprehensive economic areas from 2005 to 2018 by the novel approach. Results show that, at the national level, economic activity plays a dominant role in increasing the CEs, the effect of intensity factor on decreasing the CEs is slowing down, but the catch-up effect on decreasing the CEs has become more pronounced. At the economic areas level, except the Northwest economic area, the growth of CEs in all areas have experienced a slowdown. At the provincial level, three factors increase the CEs and two factors decrease the CEs in most provinces, and two factors show mixed effect on the change of CEs among different provinces.
作者
丁涛
杨洁
宋平凡
DING Tao;YANG Jie;SONG Ping-fan(School of Economics,Hefei Unirersity of Technology,Hefei 230601)
出处
《软科学》
CSSCI
北大核心
2022年第9期89-96,共8页
Soft Science
基金
安徽省哲学社会科学规划项目(AHSKQ2018D93)。
关键词
八大经济区
碳排放
时间追赶效应
空间追赶效应
协同减排
eight economic areas
carbon emissions
temporal catch-up effect
spatial catch-up effect
collaborative reduction
