Summary:
To facilitate China's industrial green transformation and meet its dual-carbon targets, the People's Bank of China has introduced a suite of monetary and macro-prudential policies. These policies aim to align with the “dual-pillar” policy objectives and include using green loans and bonds as eligible collateral in monetary operations, creating carbon reduction tools, supporting clean coal utilization, and integrating green finance into MPA assessments. However, the inclusion of green transformation goals within these policy frameworks remains controversial. This study incorporates various dual-pillar policies into a DSGE model to analyze their impacts on industrial green transformation and the mechanisms underlying this impact. It thus lays the theoretical groundwork for a dual-pillar framework aligned with carbon neutrality. This study makes three key contributions. (1) We innovatively introduce liquidity coverage ratio constraints on the banking sector into the model, providing a theoretical framework for the central bank's evaluation of liquidity constraint policies. (2) We quantitatively compare the effectiveness of different dual-pillar policies on industrial green transformation and clarify the transmission mechanisms of these policies by integrating refinancing policy, differential reserve requirement ratio policy, differential liquidity coverage ratio constraint policy, differential risk-weighted asset policy, and central bank reserve asset allocation policy into a unified theoretical framework. (3) We conduct an expanded analysis of both countercyclical and normalized structural dual-pillar policies to assess their impacts on macroeconomics and industrial green transformation. We compare the welfare losses of residents under various exogenous shocks when different dual-pillar policies are coordinated and integrated. This research provides insights into the development of a dynamic dual-pillar policy framework aligned with carbon neutrality goals. The findings of this paper are as follows. (1) Refinancing, differential reserve requirement ratio, and liquidity coverage ratio policies guide credit allocation by reducing the banking sector's financing costs. The effectiveness of a refinancing policy hinges on the refinancing rate, the impact of a differential reserve requirement ratio policy is contingent upon the statutory reserve requirement rate, and the efficacy of a liquidity coverage ratio constraint policy is determined by the excess reserve requirement rate. By adjusting the intensity of these three types of policies, their impacts on industrial green transformation can be standardized. (2) A differential risk-weighted asset policy primarily guides industrial structural adjustments through financial leverage, which often leads to significant fluctuations in asset prices. The impact of such a policy on industrial green transformation is typically smaller than that of the refinancing, differential reserve requirement ratio, and liquidity coverage ratio policies. (3) The central bank reserve asset allocation policy often leads to competition with the financial sector in the financial market, resulting in a decrease in the credit scale allocated by banks to the green industry; consequently, the impact of the central bank reserve asset allocation policy on industrial green transformation is relatively minor. (4) Introducing countercyclical structural policies during economic and financial cycles can effectively promote industries' green transformation and improve residents' welfare. Importantly, however, long-term structural policies may have negative impacts on residents' welfare. Based on these findings, several policy recommendations are proposed. (1) The refinancing, differential reserve requirement ratio, and liquidity coverage ratio constraint policies exhibit strong substitutability; when one policy is constrained, monetary authorities can consider using the other two policies as substitutes. Additionally, policymakers can enhance the effectiveness of these policies by lowering the refinancing, statutory reserve requirement, and excess reserve requirement rates, respectively. While risk-weighted asset and central bank reserve asset allocation policies have substantial impacts on the total credit scale, their influence on industrial structural transformation is minor; accordingly, central banks should implement these policies cautiously. (2) During economic downturns, policy authorities can increase support for green industries by implementing loose monetary policies. Conversely, during economic upturns, authorities can prioritize tightening policies on brown industries by executing contractionary monetary policies. (3) Establishing dynamic policy mechanisms to mitigate the adverse welfare impacts of structural policies is also recommended to ensure sustainable economic development.
徐飘洋, 王博. “双支柱”政策的结构性功能——基于产业绿色转型视角[J]. 金融研究, 2024, 524(2): 19-37.
XU Piaoyang, WANG Bo. The Structural Role of the Dual-Pillar Policy: Insights from the Perspective of Industrial Green Transformation. Journal of Financial Research, 2024, 524(2): 19-37.
[1] 陈国进、陈凌凌、金昊和赵向琴,2023a,《气候转型风险与宏观经济政策调控》,《经济研究》第5期,第60~78页。 [2] 陈国进、丁赛杰和赵向琴,2023b,《气候政策、银行风险与宏观审慎监管创新》,《金融研究》第9期,第38~57页。 [3] 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。 [4] 郭晔和房芳,2021,《新型货币政策担保品框架的绿色效应》,《金融研究》第1期,第91~110页。 [5] 何莎,2023,《中央银行碳减排支持工具、政策模拟与评估——基于环境动态随机一般均衡模型分析》,《国际金融研究》第11期,第16~27页。 [6] 米志付,2021,《气候变化与经济发展:综合评估建模方法及其应用》,上海三联书店,2021年7月第一版。 [7] 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。 [8] 王遥和王文蔚,2021,《环境灾害冲击对银行违约率的影响效应研究:理论与实证分析》,《金融研究》第12期,第38~56页。 [9] 朱民和彭道菊,2022,《创新内含碳中和目标的结构性货币政策》,《金融研究》第6期,第1~15页。 [10] Campiglio, E., A. Godin, E. Kemp-Benedict and S. Matikainen, 2017, “The Tightening Links between Financial Systems and the Low-Carbon Transition”, In: Arestis, P.and M.Sawyer, (eds) Economic Policies since the Global Financial Crisis, International Papers in Political Economy, Cham: Palgrave Macmillan. [11] Campiglio, E., Y. Dafermo, P. Monnin and J. Ryan-Collins, 2018, “Climate Change Challenges for Central Banks and Financial Regulators”, Nature Climate Change, 8(6), pp.462~468. [12] Carattini S., G. Heutel and G. Melkadze, 2023, “Climate Policy, Financial Frictions, and Transition Risk”, Review of Economic Dynamics, 51(12), pp.778~794. [13] D'Orazio, P. and L. Popoyan, 2019, “Fostering Green Investments and Tackling Climate-Related Financial Risks: Which Role for Macroprudential Policies?”, Ecological Economics, 160, pp.25~37. [14] Dietz S. and F. Venmans, 2019, “Cumulative Carbon Emissions and Economic Policy: in Search of General Principles”, Journal of Environmental Economics and Management, 96, pp.108~129. [15] Diluiso, F., B. Annicchiarico, M. Kalkuhl and J. C. Minx, 2021, “Climate Actions and Macro-Financial Stability: the Role of Central Banks”, Journal of Environmental Economics and Management, 110, 102548. [16] Ferrari A. and V. N. Landi, 2023, “Whatever it Takes to Save the Planet? Central Banks and Unconventional Green Policy”, Macroeconomic Dynamics, 28(2), pp.1~26. [17] Narbel, P. A., 2013, “The Likely Impact of Basel III on a Bank's Appetite for Renewable Energy Financing”, NHH Dept. of Business and Management Science Discussion Paper, No.10. [18] Punzi, M.T., 2018, “Role of Bank Lending in Financing Green Projects: A Dynamic Stochastic General Equilibrium Approach”, ADBI Working Paper, No.881. [19] Schmitt-Grohé, S. and M. Uribe, 2007, “Optimal Simple and Implementable Monetary and Fiscal Rules”, Journal of Monetary Economics, 54(6), pp.1702~1725. [20] Sims, E.and J. C. Wu, 2021, “Evaluating Central Banks' Tool Kit: Past, Present, and Future”, Journal of Monetary Economics ,118, pp.135~160. [21] Woodford, M., 2001, “Fiscal Requirements for Price Stability”, Journal of Money, Credit and Banking, 33(3), pp.669~728.