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| The Driving Mechanisms and Synergistic Effects of Differentiated Green Financial Policies in Low-Carbon Transition: A DSGE Model Incorporating Multiple Green Financial Instruments |
| SUN Chuanwang, HE Yiruo
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| Paula and Gregory Chow Institute for Studies in Economics, Xiamen University/Key Laboratory of Econometrics, Xiamen University, Ministry of Education |
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Abstract The effective integration of diverse green finance instruments is central to China's green finance policy implementation, given the ongoing maturation of its multi-faceted green finance system. Understanding the distinct functional roles and mechanisms of these instruments is crucial for unlocking their synergistic potential in facilitating the low-carbon economic transition while mitigating the trade-off between decarbonization and economic growth.
This study systematically identifies the core characteristics and operational mechanisms of key green finance instruments, including green credit, green bonds, green funds, and green relending. We innovatively construct a Multiple Green Finance Dynamic Stochastic General Equilibrium (MGF-DSGE) model, incorporating the eight specific green finance policy variables into the optimal decision-making frameworks of enterprises, banks, and government agencies. Based on the model and a detailed classification of corporate attributes, scale and financing channels, we simulate realistic capital flows and transaction patterns between enterprises and financial institutions by internalizing the intensity of different supporting policies, enabling a comprehensive investigation into the synergistic impacts of green finance policy combinations on low-carbon transformation.
The main findings are as follows. First, green finance policies exert a significantly positive effect on low-carbon economic transition. By directing capital towards green sectors through scale and funding tilt, these policies optimize the financing environment and capital allocation for clean enterprises. This occurs via lowering green credit and bond interest rates, while simultaneously constraining financing for traditional polluting enterprises. Second, green credit and green bonds primarily stimulate short-term market dynamism, rapidly expanding green financing volumes, but their effects diminish over time. Green funds promote long-term technological progress through fiscal leverage. The synergistic interaction of these four instrument types facilitates a smooth, low-carbon transition by balancing short-term financing needs with long-term structural adjustments. Third, analysis of policy combinations reveals that price-quantity strategies best balance green production levels, financing sustainability, and environmental benefits.
Based on these insights, the study proposes three key policy recommendations. (1) Promote the development of an integrated multi-instrument green finance synergy system. Fully leverage the synergistic effects and complementary functions of diverse green financial tools. Utilize structural tools such as green loans and re-lending to anchor the foundation of real-economy transformation through financing adjustments and liquidity support. Rely on market-based tools such as green bonds and funds to guide the greening of resource allocation through capital pricing and leverage. Together, these form an integrated, efficient, and synergistic low-carbon transition pathway. (2) Implement a tiered enterprise classification mechanism for better management. Establish a multi-dimensional evaluation system based on environmental performance, conduct dynamic assessments of corporate energy efficiency levels, economic benefits, and emission status, and form a differentiated grading management framework. Enable differentiated financing incentives for green firms, provide subsidies for technological upgrades and transitional financing arrangements to ease transition financing constraints. (3) Construct an adaptive framework for green finance policy combinations. In the short term, synergies between price-based and quantity-based tools should be prioritized to enlarge green investment scale by lowering costs and enhancing liquidity. In the long term, the integration of fiscal instruments with structural policies should be promoted, use funds to leverage social capital for green investment, supplemented by monetary policies to enable more precise resource allocation, ensuring a gradual and effective transition.
The primary contributions of this study lie in three aspects. First, this paper addresses a critical gap in existing research by systematically analyzing the synergistic effects of multiple green finance instruments. While achieving low-carbon development requires coordinated policy mixes, prior studies have predominantly examined single tools in isolation, neglecting the interactive mechanisms that define real-world policy implementation. We develop a new MGF-DSGE model that integrates core features and function mechanisms of four instruments with parameter of intervention intensities of eight incentive policies, which overcomes the compatibility challenges of modeling heterogeneous tools in traditional approaches by embedding cross-sector behavioral equations and transmission pathways. This enables a unified assessment of how interdependent policy levers jointly reshape corporate financing decisions and long-term transition dynamics and provides a new theoretic structure. Second, the study advances the literature by incorporating firm heterogeneity into the dynamic analysis of the asymmetric effectiveness of diversified green finance policies. Grounded in practical contexts, we differentiate firms by environmental performance, size, and financing channels. By modeling asymmetric access to credit instruments, bond markets, and government-led green funds, we capture real-world financing structures more accurately. This approach reveals how policies dynamically generate green premiums and crowding-out effects. Third, we pioneer a quantitative framework to disentangle standalone versus synergistic policy impacts. The MGF-DSGE model decomposes the marginal effects of all eight policy variables on transition outcomes, identifying their distinct temporal roles. By testing policy combinations, we demonstrate that price-quantity hybrid strategies optimally balance green productivity, financial sustainability, and emissions reduction. Beyond green finance, our analytical framework offers a transferable paradigm for evaluating multi-policy synergies in other domains.
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Received: 18 November 2024
Published: 14 August 2025
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| Cite this article: |
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SUN Chuanwang,HE Yiruo. The Driving Mechanisms and Synergistic Effects of Differentiated Green Financial Policies in Low-Carbon Transition: A DSGE Model Incorporating Multiple Green Financial Instruments[J]. Journal of Financial Research,
2025, 539(5): 114-132.
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| URL: |
| http://www.jryj.org.cn/EN/ OR http://www.jryj.org.cn/EN/Y2025/V539/I5/114 |
| [1] |
卞志村和胡恒强,2015:《中国货币政策工具的选择:数量型还是价格型？——基于DSGE模型的分析》,《国际金融研究》第6期,第12～20页。
|
| [2] |
蔡贵龙和张亚楠,2023,《基金ESG投资承诺效应——来自公募基金签署PRI的准自然实验》,《经济研究》第12期,第22～40页。
|
| [3] |
陈奉功和张谊浩,2023,《绿色债券发行、企业绿色转型与市场激励效应》,《金融研究》第3期,第131～149页。
|
| [4] |
陈国进、丁赛杰、赵向琴和蒋晓宇,2021,《中国绿色金融政策、融资成本与企业绿色转型——基于央行担保品政策视角》,《金融研究》第12期,第75～95页。
|
| [5] |
丁冠群、王铮和孙翊,2022,《基于多行业DSGE模型的中国碳减排政策效应》,《中国人口·资源与环境》第1期,第19～30页。
|
| [6] |
郭晔、徐菲和舒中桥,2019,《银行竞争背景下定向降准政策的“普惠”效应——基于A股和新三板三农、小微企业数据的分析》,《金融研究》第1期,第1～18页。
|
| [7] |
洪祥骏、林娴和陈丽芳,2023,《地方绿色信贷贴息政策效果研究——基于财政与金融政策协调视角》,《中国工业经济》第9期,第80～97页。
|
| [8] |
蒋先玲和张庆波,2017,《发达国家绿色金融理论与实践综述》,《中国人口·资源与环境》增刊1,第323～326页。
|
| [9] |
李俊成、彭俞超和王文蔚,2023,《绿色信贷政策能否促进绿色企业发展？——基于风险承担的视角》,《金融研究》第3期,第112～130页。
|
| [10] |
林伯强和孙传旺,2011,《如何在保障中国经济增长前提下完成碳减排目标》,《中国社会科学》第1期,第64～76页、第221页。
|
| [11] |
潘冬阳、陈川祺和Michael Grubb,2021,《金融政策与经济低碳转型——基于增长视角的研究》,《金融研究》第12期,第1～19页。
|
| [12] |
王懋雄、赵晟骜和张柏杨,2023,《结构性政策对绿色低碳发展的作用——基于DSGE模型的分析》,《西南金融》第11期,第58～72页。
|
| [13] |
王遥、潘冬阳、彭俞超和梁希,2019,《基于DSGE模型的绿色信贷激励政策研究》,《金融研究》第11期,第1～18页。
|
| [14] |
吴育辉、田亚男、陈韫妍和徐倩,2022,《绿色债券发行的溢出效应、作用机理及绩效研究》,《管理世界》第6期,第176～193页。
|
| [15] |
肖建忠、李卫伟和温阳,2025,《企业环境治理影响绿色投资者的机制与效应研究——基于投资者决策视角》,《资源与产业》,第1期,第77～91页。
|
| [16] |
杨伟中,余剑和李康,2020,《金融资源配置、技术进步与经济高质量发展》,《金融研究》第12期,第75~94页。
|
| [17] |
Angelopoulos, S., F. Kitsios and T. Papadopoulos, 2010. “New Service Development in E‐Government: Identifying Critical Success Factors”, Transforming Government: People, Process and Policy, 4(1), pp. 95～118.
|
| [18] |
Annicchiarico, B. and F. Di Dio, 2015. “Environmental Policy and Macroeconomic Dynamics in a New Keynesian Model”, Journal of Environmental Economics and Management, 69, pp. 1～21.
|
| [19] |
Baker, M. D. Bergstresser, G. Serafeim and J. Wurgler, 2022. “The Pricing and Ownership of US Green Bonds”, Annual Review of Financial Economics, 14(1), pp. 415～437.
|
| [20] |
Baulkaran, V., 2019. “Stock Market Reaction to Green Bond Issuance”, Journal of Asset Management, 20, pp.331～340.
|
| [21] |
Brunnermeier, M.K. and Y. Sannikov, 2014. “A Macroeconomic Model with a Financial Sector”, American Economic Review, 104, pp. 379～421.
|
| [22] |
Christiano, L.J., M. Eichenbaum and C.L. Evans, 2005. “Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy”, Journal of Political Economy, 113(1), pp.1～45.
|
| [23] |
Dong, Z., H. Xu, Z. Zhang, Y. Lyu, Y. Lu, and H. Duan, 2022, “Whether Green Finance Improves Green Innovation of Listed Companies: Evidence from China”, International Journal of Environmental Research and Public Health, 19(17), pp.10882.
|
| [24] |
Dziwok, E. and J. Jäger, 2021. “A Classification of Different Approaches to Green Finance and Green Monetary Policy”, Sustainability, 13(21), pp.11902.
|
| [25] |
Gertler, M. and P. Karadi, 2011. “A Model of Unconventional Monetary Policy”, Journal of Monetary Economics, 58, pp. 17～34.
|
| [26] |
Giovanardi, F., M. Kaldorf, L. Radke and F. Wicknig, 2023. “The Preferential Treatment of Green Bonds”, Review of Economic Dynamics, 51, pp. 657～676.
|
| [27] |
Jermann, U. and V. Quadrini, 2012. “Macroeconomic Effects of Financial Shocks”, American Economic Review, 102(1), pp. 238～271.
|
| [28] |
Mertens, K. and M. O. Ravn, 2013. “The dynamic effects of personal and corporate income tax changes in the United States”, American Economic Review, 103(4), pp. 1212-1247.
|
| [29] |
Pedersen, L. H., S. Fitzgibbons and L. Pomorski, 2021, “Responsible Investing: the ESG-Efficient Frontier”, Journal of Financial Economics, 142(2), pp. 572～597.
|
| [30] |
Shan, Y., D. Guan, H. Zheng, J. Ou, Y. Li, J. Meng, Z. Mi, Z. Liu and Q. Zhang, 2018. “China CO2 Emission Accounts 1997～2015”, Scientific Data, 5(1), pp. 1～14.
|
|
|
|
