中国省际碳排放的空间关联性及其效应研究——基于SNA的经验考察

发布时间：2018-04-02 06:05

本文选题：空间关联　切入点：碳排放　出处：《上海经济研究》2016年02期

【摘要】：该文利用1997-2012年中国省际碳排放数据,利用社会网络分析(SNA)方法对中国省际碳排放的空间网络结构及其效应进行了实证考察,研究发现:1中国省际碳排放的空间关联关系呈网络结构形态,样本考察期内,碳排放的空间关联关系逐渐增多,等级森严的网络结构逐渐被打破,网络效率呈近似"V"型的变化趋势。2沪、津、苏、浙、粤、京、鲁等省份位于网络的中心位置,容易对其他省份之间碳排放的空间关联关系产生影响,使得中国省际碳排放的空间网络呈现出典型的"中心-边缘"结构。3网络中京津冀地区、长三角地区为主受损聚类,长中游地区、珠三角地区为经纪人聚类,能源丰富的东北、西北地区、西南地区为受益聚类。4碳排放空间关联的整体网络密度的提高,网络等级结构的打破,减少聚类内省际碳排放均能显著降低碳排放强度和省际碳排放强度差异,提高碳排放的空间公平性。而个体网络中心性的提高对减少碳排放强度具有明显的促进作用。碳排放空间关联的网络结构对未来我国碳减排目标的实现带来了严峻挑战,但也为新时期区域协同发展战略的实施,跨区域协同减排机制的构建创造了有利条件。
[Abstract]:Based on the data of inter-provincial carbon emissions in China from 1997 to 2012, this paper makes an empirical study on the spatial network structure and its effects of inter-provincial carbon emissions in China by means of social network analysis. The study found that the spatial correlation relationship between provincial carbon emissions in China was in the form of network structure. During the period of sample investigation, the spatial correlation relationship of carbon emissions gradually increased, and the hierarchical network structure was gradually broken down. The change trend of network efficiency is similar to "V". 2. The provinces of Shanghai, Tianjin, Jiangsu, Zhejiang, Guangdong, Beijing and Shandong are located in the center of the network, which can easily influence the spatial relationship of carbon emissions among other provinces. The spatial network of China's inter-provincial carbon emissions presents a typical "center-edge" structure of network .3 in the Beijing-Tianjin-Hebei region, the Yangtze River Delta region mainly damaged clustering, the middle reaches of the Yangtze River Delta region, the Pearl River Delta region for broker clustering, energy rich Northeast, In Northwest China and Southwest China, in order to improve the overall network density of spatial correlation of carbon emissions, break down the network grade structure and reduce the inter-provincial carbon emissions within the cluster, the intensity of carbon emissions and the differences between provinces can be significantly reduced. The enhancement of individual network centrality can obviously promote the reduction of carbon emission intensity. The network structure of spatial correlation of carbon emissions will bring severe challenges to the realization of carbon emission reduction targets in China in the future. But it also creates favorable conditions for the implementation of regional cooperative development strategy and the construction of cross-regional cooperative emission reduction mechanism.
【作者单位】：山东财经大学工商管理学院;山东财经大学经济学院;
【基金】：国家社会科学基金青年项目“资源环境约束下农业用水效率评价及提升路径研究”(批准文号:15CGL041) 山东省社会科学规划研究项目“产学研合作项目协同创新网络风险研究”(批准文号:12DGLJ09) 山东省高等学校人文社会科学研究项目“山东省农村普惠金融发展的空间差异及调控对策研究”(批准文号:J15WG09)资助
【分类号】：X321

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