Regional Differences and Convergence of Carbon Emissions Intensity in Cities along the Yellow River Basin in China

Regional Differences and Convergence of Carbon Emissions Intensity in Cities along the Yellow River Basin in China
复制标题

DOI:
10.3390/land11071042
复制
发表时间:
2022-07-01
期刊:
影响因子:
3.9
通讯作者:
Shen, Wanfang
Shen, Wanfang
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Chen, Xiaolan;Meng, Qinggang;Shen, Wanfang

文献摘要

被引文献

相似文献

黄河流域生态保护和高质量发展已上升为国家首要战略,低碳经济至关重要。要制定有效的长江三峡库区减排政策,需要全面认识长江三峡库区碳排放强度的空间集聚特征及其区域异质性。因此,我们首先根据2005年至2017年的相关数据,科学测算了长三角沿着57个城市的碳排放强度。然后,运用探索性空间数据分析方法和马尔可夫链分析了我国碳排放强度的空间集聚特征和长期转移趋势。最后,利用Dagum基尼系数和变异系数法研究了长江三峡库区碳排放强度的区域差异和差异演化收敛性。结果表明:长江三峡库区的碳排放强度显著下降,呈现西高东低的空间分布特征,且存在显著的空间自相关现象。此外,城市碳强度发生转变的概率较低,导致总体上和各区域出现“俱乐部趋同”和“马太效应”。区域间差异一直是长江中下游地区碳排放强度空间差异的主要来源,长江中下游地区碳排放强度的区域内差异表现出明显的收敛现象。研究结果可为长三角低碳经济区域协调发展提供参考,并对长三角生态环境保护与经济增长双赢的发展模式起到指导作用。
Since the ecological protection and high-quality development of the Yellow River Basin (YRB) in China have become a primary national strategy, the low-carbon economy is crucial. To formulate effective emission mitigation policies for the YRB, we need to comprehensively understand the characteristics of the spatial agglomeration of the carbon emissions intensity in the YRB and its regional heterogeneity. Therefore, based on the relevant data from 2005 to 2017, we first scientifically measure the carbon emissions intensity of 57 cities along the YRB. Then, we analyze the spatial agglomeration characteristics and long-term transfer trends of carbon emission intensity using exploratory spatial data analysis methods and Markov chains. Finally, the Dagum Gini coefficient and the variation coefficient method are used to study the regional differences and differential evolution convergence of the carbon emissions intensity in the YRB. The results show that the carbon emissions intensity of the YRB has dropped significantly with the spatial distribution characteristics "high in the west and low in the east", and there is a significant spatial autocorrelation phenomenon. In addition, the probability of a shift in urban carbon intensity is low, leading to a "club convergence" and a "Matthew effect" in general and across regions. Inter-regional differences have always been the primary source of spatial differences in carbon emissions intensity in the YRB, and the intra-regional differences in carbon emissions intensity in the lower YRB show a significant convergence phenomenon. The research results may provide a reference for the regional coordinated development of a low-carbon economy in the YRB, and serve to guide the win-win development model of ecological environment protection and economic growth in the YRB.