中国建筑业低碳创新网络耦合演化及对碳减排的影响研究

李龙; 万美琪; 殷宪飞; 袁梦琪

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中国环境科学 ›› 2026, Vol. 46 ›› Issue (1) : 474-483.

碳排放控制

中国建筑业低碳创新网络耦合演化及对碳减排的影响研究

李龙¹, 万美琪¹, 殷宪飞², 袁梦琪³

作者信息 +

Coupling evolution of low-carbon innovation networks and its impact on carbon emission reduction in China’s construction industry

LI Long¹, WAN Mei-qi¹, YIN Xian-fei², YUAN Meng-qi³

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文章历史 +

摘要

基于2003~2022年中国建筑业低碳技术专利与碳排放数据,运用社会网络分析方法构建创新主体协同网络与知识融合网络,并基于两者拓扑结构设计耦合协调度模型,进一步采用自回归分布滞后模型(ARDL)与广义脉冲响应函数(GIRF),实证检验双网络耦合协调发展对建筑业碳排放强度的影响机制.研究发现:①主体协同网络与知识融合网络持续优化,双网络耦合协调水平由0.4043增长至0.9591,呈现从失调向高度协调的演化趋势;②样本期内,耦合协调发展指数滞后1期对碳排放强度具有显著负向影响,体现其对碳减排的滞后促进作用;③耦合协调发展指数为碳排放强度的单向Granger原因,其负向冲击在滞后第2期达到峰值-1.865,随后趋于平稳,阶段性调节效应显著.依托结构测度与动态分析相结合的框架,研究结果为系统性低碳创新政策提供了量化工具与实证支撑.

Abstract

Based on China’s construction industry low-carbon technology patents and carbon emission data from 2003 to 2022, the subject collaboration networks and knowledge fusion networks were constructed using social network analysis, and a coupling coordination degree model was designed based on their topological structures. Further, an autoregressive distributed lag (ARDL) model and generalized impulse response function (GIRF) were applied to empirically examine the impact mechanism of the coordinated development of dual-network coupling on the construction industry’s carbon emission intensity. The results indicated that: ① The subject collaboration networks and knowledge fusion networks continued to optimize, with the coupling coordination level increasing from 0.4043 to 0.9591, showing an evolution from disorder to high coordination; ② During the sample period, the coupling coordination development index lagged by one period was found to exert a significant negative impact on carbon emission intensity, reflecting its delayed promoting effect on emission reduction; ③ The coupling coordination development index was identified as a one-way Granger cause of carbon emission intensity. Its negative shock peaked at -1.865 in the second lag and then gradually stabilized, demonstrating a significant stage-based adjustment effect. Relying on a framework integrating structural measurement and dynamic analysis, the results provided quantitative tools and empirical support for systematic low-carbon innovation policies.

导出引用

李龙, 万美琪, 殷宪飞, 袁梦琪. 中国建筑业低碳创新网络耦合演化及对碳减排的影响研究[J]. 中国环境科学. 2026, 46(1): 474-483

LI Long, WAN Mei-qi, YIN Xian-fei, YUAN Meng-qi. Coupling evolution of low-carbon innovation networks and its impact on carbon emission reduction in China’s construction industry[J]. China Environmental Science. 2026, 46(1): 474-483

中图分类号： X196 F426.9 C931.5

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