Faculty of International Trade, Shanxi University of Finance and Economics, Taiyuan, 030006, China.
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Environ Sci Pollut Res Int. 2023 Jan;30(1):2315-2328. doi: 10.1007/s11356-022-22337-w. Epub 2022 Aug 5.
Agricultural carbon emission is an important cause of climate change, and the carbon transfer caused by agricultural trade is a key area related to carbon emissions of all countries. Based on the Eora database, this paper aims to constructs a multi-region input-output database of 185 countries or regions, analyzes a spatial correlation network of embodied net carbon transfer in global agricultural trade by using UCINET, selects multi-dimensional network measurement indicators, and comprehensively studies the global evolution characteristics and functional features of network plate role of embodied carbon transfer in the global agricultural trade. The result shows that the embodied net carbon transfer network of global agricultural trade is densely connected, the spatial correlation spillover effect is significant, and the edge of the network core structure is clear. On the one hand, the top four countries or regions in terms of embodied carbon outflow in agricultural trade are the USA, Australia, Vietnam, and China. On the other hand, the top four countries or regions of embodied carbon inflow are Malaysia, Central Africa, Singapore, and Serbia. From the perspective of outdegree, indegree, proximity centrality, and intermediary centrality, Cambodia, the Netherlands, Vietnam, Ghana, and South Africa, with the high frequency of the shortest path of the globally embodied net carbon transfer network, have a strong influence and linking facility in spatial correlation and have a strong control ability to the spatial correlation of other countries or regions. The embodied carbon emission network of global agricultural trade can be divided into four sectors: main spillover, two-way spillover, broker, and main benefit. The main spillover segment, constituted by the USA, India, Germany, and China, has significant embodied carbon spillover effects on the internal segment and other segments. It is the main embodied carbon spillover sector of embodied net carbon transfer of global agricultural trade. Countries should reasonably allocate the responsibility of carbon reduction according to the trading embodied carbon transfer and made efforts to optimize the export structure of agricultural products.
农业碳排放是气候变化的一个重要原因,而农业贸易所导致的碳转移是与所有国家碳排放相关的关键领域。基于 Eora 数据库,本文旨在构建一个包含 185 个国家或地区的多区域投入产出数据库,利用 UCINET 分析全球农业贸易中体现的净碳转移的空间关联网络,选择多维网络测度指标,综合研究全球农业贸易中体现碳转移的网络板块角色的全球演变特征和功能特征。结果表明,全球农业贸易的体现净碳转移网络是密集连接的,空间关联溢出效应显著,网络核心结构的边缘清晰。一方面,农业贸易中体现碳流出量最大的前四个国家或地区是美国、澳大利亚、越南和中国。另一方面,体现碳流入量最大的前四个国家或地区是马来西亚、中非、新加坡和塞尔维亚。从出度、入度、接近中心度和中介中心度来看,柬埔寨、荷兰、越南、加纳和南非由于在全球体现净碳转移网络中的最短路径出现频率较高,对空间关联具有较强的影响力和联系设施,对其他国家或地区具有较强的控制能力。全球农业贸易的体现碳排放网络可以分为四个部分:主要溢出、双向溢出、中介和主要利益。由美国、印度、德国和中国组成的主要溢出部分对内部部分和其他部分具有显著的体现碳溢出效应,是全球农业贸易体现净碳转移的主要体现碳溢出部分。各国应根据贸易体现碳转移合理分配减排责任,并努力优化农产品出口结构。