摘要
目前关于“双碳”的各种讨论,大多从理念与方向上去谈,而很少涉及产业层面的目标实现路径。论文运用社会网络分析法全新解构“双碳”目标下中国产业网络的关联特征及影响因素。研究结论为:中国产业间关联关系具有相对稳定性,产业间分工逐渐深化,溢出效应明显。第一、第二、第三产业的占比分别为1.75%、61.85%和36.40%。占据重要地位的“碳节点行业”是4个生产性服务业--批发和零售,交通运输、仓储和邮政,金融,租赁和商务服务和5个资本密集型产业--化学产品,非金属矿物制品,电力、热力的生产和供应,金属制品,金属冶炼和压延加工品。网络中第一板块与第二板块是中国产业网络的“动力源”。7个外生属性因素具有显著性影响,是实现“双碳”目标的有效政策切入点。
At present,various discussions about“double carbon”mainly focus on concepts and directions,and they rarely talk about the path to achieving goals at the industrial level.This article uses social network analysis to deconstruct the correlation characteristics and influencing factors of China’s industrial network under the“double carbon”goal.The conclusion is that the interrelationships among industries in China are relatively stable,and the division of labor between industries is gradually deepening,with obvious spillover effects.The proportions of the primary,secondary,and tertiary industries are 1.75%,61.85%,36.40%respectively.The“carbon node industries”that occupy an important position are four productive service industries:wholesale and retail,transportation,warehousing and postal services,finance,leasing,and business services;Five capital intensive industries include the production and supply of chemical products,non-metallic mineral products,electricity and heat,metal products,metal smelting and rolling processing products.The first and second sectors in the network are the“driving forces”of China’s industrial network.The seven exogenous attribute factors have a significant impact and are effective policy entry points for achieving the“double carbon”goal.
作者
郑远芳
曾庆均
ZHENG Yuanfang;ZENG Qingjun(Research Center for Economy of Upper Reaches of the Yangtse River,Chongqing Technology and Business University,Chongqing 400067,China;College of Finance and Economics,Yangtze Normal University,Chongqing 408100,China)
出处
《生态经济》
北大核心
2024年第10期20-28,共9页
Ecological Economy
基金
国家社会科学基金项目“西部陆海新通道与内陆开放型经济融合发展的机制路径研究”(20XJY001)
重庆市教委人文社会科学重点项目“双循环下重庆数字经济与制造业融合发展研究”(21SKGH229)。
关键词
“双碳”目标
产业关联
碳节点行业
社会网络分析
“double carbon”target
industrial correlation
carbon node industry
social network analysis
