Volume 42 Issue 3
May  2026
Turn off MathJax
Article Contents
JIE Qiongnan, YAN Jiajia. Sci-tech Financial Policy and Low-Carbon Economic Transition: Identification of Enabling Effects and Mechanisms[J]. Journal of Guangdong University of Finance & Economics, 2026, 41(3): 65-78.
Citation: JIE Qiongnan, YAN Jiajia. Sci-tech Financial Policy and Low-Carbon Economic Transition: Identification of Enabling Effects and Mechanisms[J]. Journal of Guangdong University of Finance & Economics, 2026, 41(3): 65-78.

Sci-tech Financial Policy and Low-Carbon Economic Transition: Identification of Enabling Effects and Mechanisms

  • Received Date: 2025-12-19
    Available Online: 2026-06-26
  • Publish Date: 2026-05-28
  • As the core engine for realizing green and sustainable development, low-carbon economic transition depends on in-depth empowerment of sci-tech innovation and efficient allocation of financial resources. Using panel data from 281 prefecture-level and above cities in China from 2003 to 2023, this paper employs a synthetic control method with difference-in-differences (SDID) to integrate the low-carbon economic transition into the evaluation framework of the sci-tech financial policy, and empirically analyzes its impact on low-carbon economic transition combined with the three-dimensional linkage mechanism of industries, enterprises and researchers. The results reveal that the sci-tech financial policy exert a significant promoting effect on low-carbon economic transition, with industrial chain resilience, artificial intelligence development level and sci-tech innovation vitality serving as core influencing mechanisms. Its impact on low-carbon economic transition of surrounding cities presents fluctuating spatial transmission characteristics. The role of sci-tech financial policy is more significant in cities with net population inflow, non-old industrial base cities, and coastal cities. The research findings provide practical references and policy insights for optimizing the allocation of sci-tech finance resources, enhancing the efficiency of low-carbon economic transition, and promoting regional green coordinated development.
  • loading
  • [1]
    黄承梁, 潘家华, 高世楫. 实现高质量发展与生态安全的良性互动--以习近平经济思想与习近平生态文明思想推动绿色发展[J]. 经济研究, 2024, 59(10): 4-18.
    [2]
    傅春杨, 于也雯, 龚六堂. 以能源节约集约利用促进高质量发展--基于生产网络模型的重点节能增产行业选择[J]. 管理世界, 2025, 41(2): 21-46.
    [3]
    Liu M R, Li S X, Li Y, et al. Evaluating the synergistic effects of digital economy and government governance on urban low-carbon transition[J]. Sustainable Cities and Society, 2024, 105: 105337. doi: 10.1016/j.scs.2024.105337
    [4]
    张明斗, 闫昱睿. 低碳战略能否增强城市经济发展与生态环境的协调性--基于低碳城市试点的准自然实验[J]. 广东财经大学学报, 2023, 38(3): 24-37.
    [5]
    Xing Z Y, Huang J, Wang J. Unleashing the potential: exploring the nexus between low-carbon digital economy and regional economic-social development in China[J]. Journal of Cleaner Production, 2023, 413: 137552. doi: 10.1016/j.jclepro.2023.137552
    [6]
    陈诗一. 低碳经济[J]. 经济研究, 2022, 57(6): 12-18.
    [7]
    Marcelo F, Enzo M. A confirmatory factor model for climate justice: integrating human development and climate actions in low carbon economies[J]. Environmental Science and Policy, 2022, 133: 17-30. doi: 10.1016/j.envsci.2022.03.004
    [8]
    齐承水. 如何理解"新质生产力本身就是绿色生产力"[J]. 经济学家, 2024(7): 15-23.
    [9]
    巩艳红, 肖昱玲. 科技金融政策对碳中和技术创新的影响[J]. 中国人口·资源与环境, 2024, 34(10): 66-79.
    [10]
    于海云, 郑明波. 科技金融会激励中国企业进行绿色创新吗?--基于"促进科技和金融结合试点"政策的证据[J]. 科学学研究, 2025, 43(6): 1237-1249.
    [11]
    周立宏, 祁晓凤, 李孟霏. 科技金融、供应链外溢与劳动力就业--基于促进科技与金融结合试点政策的证据[J]. 经济学动态, 2024(12): 18-35.
    [12]
    潘捷. 科技金融创新协同发展路径分析--评《科技金融支持科技创新: 机制、效果与对策》[J]. 广东财经大学学报, 2023, 38(5): 113-114.
    [13]
    Lei Y, Nawazish M, Muhammad U. The cryptocurrency uncertainties and investment transitions: evidence from high and low carbon energy funds in China[J]. Technological Forecasting&Social Change, 2022, 175: 121326.
    [14]
    Zhou G Y, Zhu J Y, Lu S M. The impact of fintech innovation on green growth in China: mediating effect of green finance[J]. Ecological Economics, 2022, 193: 107308. doi: 10.1016/j.ecolecon.2021.107308
    [15]
    张明喜, 魏世杰, 朱欣乐. 科技金融: 从概念到理论体系构建[J]. 中国软科学, 2018(4): 31-42.
    [16]
    彭红枫, 万洋, 王文浩. 资本账户双向开放能否激发企业绿色创新?[J]. 世界经济研究, 2024(11): 3-17.
    [17]
    Xu S, Lu B B, Yue Q D. Impact of sci-tech finance on the innovation efficiency of China's marine industry[J]. Marine Policy, 2021, 133: 104708. doi: 10.1016/j.marpol.2021.104708
    [18]
    汪淑娟, 谷慎. 科技金融对中国经济高质量发展的影响研究--理论分析与实证检验[J]. 经济学家, 2021(2): 81-91.
    [19]
    唐露源, 谢士尧, 徐源. 大模型产业创新生态系统构建及风险识别研究[J]. 科学学研究, 2025, 43(9): 1972-1981.
    [20]
    肖兴志, 李少林. 大变局下的产业链韧性: 生成逻辑、实践关切与政策取向[J]. 改革, 2022(11): 1-14.
    [21]
    肖兴志, 王述勇, 李少林. 金融支持产业链韧性提升: 内在逻辑、现实需求与推进方略[J]. 改革, 2024(9): 1-16.
    [22]
    Charilaos M. FinTech finance and social-environmental performance around the world[J]. Finance Research Letters, 2023, 56: 104107. doi: 10.1016/j.frl.2023.104107
    [23]
    周明生, 赵杉杉. 产业关联视角下数字化水平对碳排放影响研究[J]. 济南大学学报(社会科学版), 2025, 35(2): 124-140.
    [24]
    任继球, 魏丽, 刘振中, 等. "十五五"时期推动产业新旧动能转换: 发展环境、问题瓶颈与路径任务[J]. 经济学家, 2025(2): 96-105.
    [25]
    Zhang Z T, Khan A A, Wang Z L. How does science and technology finance affect the renewable energy development?evidence from China[J]. Renewable Energy, 2025, 243: 122605. doi: 10.1016/j.renene.2025.122605
    [26]
    李伟. 数字经济发展的底层理论逻辑、发达国家战略部署及我国应对[J]. 中国软科学, 2023(5): 216-224.
    [27]
    Luo Q F, Wang J Y. The impact of artificial intelligence development on embodied carbon emissions: perspectives from the production and consumption sides[J]. Energy Policy, 2025, 199: 114535. doi: 10.1016/j.enpol.2025.114535
    [28]
    刘光辉, 杨娜娜, 臧日宏. 金融科技与绿色金融协同的碳减排效应研究--"技术赋能+制度驱动"分析视角[J]. 现代财经(天津财经大学学报), 2005, 45(10): 77-93.
    [29]
    Asl G M, Jabeur B S, Nammouri H, et al. Dynamic connectedness of quantum computing, artificial intelligence, and big data stocks on renewable and sustainable energy[J]. Energy Economics, 2024, 140: 108017. doi: 10.1016/j.eneco.2024.108017
    [30]
    孙慧, 杨泽东, 夏学超, 等. 区域创新生态系统对碳减排的影响: 基于QCA的组态路径分析[J]. 中国人口·资源与环境, 2024, 34(10): 57-65.
    [31]
    罗敏. 低碳专利商业化激励机制研究[J]. 科学学研究, 2018, 36(10): 1795-1800.
    [32]
    许文立, 孙磊. 市场激励型环境规制与能源消费结构转型--来自中国碳排放权交易试点的经验证据[J]. 数量经济技术经济研究, 2023, 40(7): 133-155.
    [33]
    江艇. 因果推断经验研究中的中介效应与调节效应[J]. 中国工业经济, 2022(5): 100-120.
    [34]
    严佳佳, 介琼楠. 绿色金融改革创新试验区政策如何影响城市低碳经济转型--新结构环境经济学视角[J]. 管理学刊, 2025, 38(5): 69-83.
    [35]
    孙红雪, 朱金鹤. 自由贸易试验区设立能否增强中国产业链韧性?--基于多种创新要素集聚的中介机制检验[J]. 现代经济探讨, 2023(11): 72-84.
    [36]
    张兆国, 徐雅琴, 成娟. 营商环境、创新活跃度与企业高质量发展[J]. 中国软科学, 2024(1): 130-138.
    [37]
    范合君, 潘宁宁. 工业机器人应用广度深度与企业绿色化转型[J]. 贵州财经大学学报, 2025(4): 101-110.
    [38]
    Goodman-Bacon A. Difference-in-differences with variation in treatment timing[J]. Journal of Econometrics, 2021, 225(2): 254-277. doi: 10.1016/j.jeconom.2021.03.014
    [39]
    曹清峰. 国家级新区对区域经济增长的带动效应--基于70大中城市的经验证据[J]. 中国工业经济, 2020(7): 43-60.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(4)  / Tables(10)

    Article Metrics

    Article Views(61) PDF Downloads(6) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return