IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i16p6741-d1451220.html
   My bibliography  Save this article

The Emission-Reduction Effect of Green Demand Preference in Carbon Market and Macro-Environmental Policy: A DSGE Approach

Author

Listed:
  • Xuyi Ding

    (Institute of Finance and Economics, Shanghai University of Finance and Economics, Shanghai 200433, China)

  • Guangcheng Ma

    (School of Urban and Regional Sciences, Shanghai University of Finance and Economics, Shanghai 200433, China)

  • Jianhua Cao

    (Institute of Finance and Economics, Shanghai University of Finance and Economics, Shanghai 200433, China
    School of Urban and Regional Sciences, Shanghai University of Finance and Economics, Shanghai 200433, China)

Abstract

Along with the new stage of prevention and control of the COVID-19 pandemic and the vision and goals of combatting climate change, the challenges of the transition to a green economy have become more severe. The need for green recovery of the economy, stability and security of energy production and consumption, and the coordination of low-carbon transformation and socio-economic development has become increasingly urgent. This paper proposes a new theoretical framework to study the effect of carbon emission reduction on the mutual application of the carbon market, fiscal policy and monetary policy under the non-homothetic preference of energy product consumption. By constructing an environmental dynamic stochastic general equilibrium (E-DSGE) model with residents’ non-homothetic preferences, this paper finds that coordinating the carbon market and macroeconomic policies can achieve economic and environmental goals. However, the transmission paths for each are different. The carbon market influences producers’ abatement efforts and costs through carbon prices. Monetary policy controls carbon emissions by adjusting interest rates, while fiscal policy controls carbon emissions by adjusting total social demand. Improving non-homothetic preferences will amplify business cycle fluctuations caused by exogenous shocks, thus assuming the role of a “financial accelerator”. Further research shows that non-homothetic preferences influence the heterogeneity of different policy mixes. Finally, this paper discovers that the welfare effects, the relative size and difference of long-term and short-term effects resulting from the different policy mixes, also depend on the level of non-homothetic preferences. The intertemporal substitution mechanism due to the improvement of non-homothetic preferences endows low-carbon production with “option” characteristics. Our study reveals the role of non-homothetic preferences on the effectiveness of policy implementation. It highlights the importance of matching monetary and fiscal policies with the carbon market based on the consumption and production side. It provides ideas for policy practice to achieve the goal of “dual carbon” and promoting coordinated socio-economic development.

Suggested Citation

  • Xuyi Ding & Guangcheng Ma & Jianhua Cao, 2024. "The Emission-Reduction Effect of Green Demand Preference in Carbon Market and Macro-Environmental Policy: A DSGE Approach," Sustainability, MDPI, vol. 16(16), pages 1-36, August.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:16:p:6741-:d:1451220
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/16/6741/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/16/6741/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Blazquez, Jorge & Galeotti, Marzio & Manzano, Baltasar & Pierru, Axel & Pradhan, Shreekar, 2021. "Effects of Saudi Arabia’s economic reforms: Insights from a DSGE model," Economic Modelling, Elsevier, vol. 95(C), pages 145-169.
    2. Fischer, Carolyn & Springborn, Michael, 2011. "Emissions targets and the real business cycle: Intensity targets versus caps or taxes," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 352-366.
    3. Garcia-Villegas, Salomon & Martorell, Enric, 2024. "Climate transition risk and the role of bank capital requirements," Economic Modelling, Elsevier, vol. 135(C).
    4. Erceg, Christopher J. & Henderson, Dale W. & Levin, Andrew T., 2000. "Optimal monetary policy with staggered wage and price contracts," Journal of Monetary Economics, Elsevier, vol. 46(2), pages 281-313, October.
    5. Schmitt-Grohe, Stephanie & Uribe, Martin, 2004. "Solving dynamic general equilibrium models using a second-order approximation to the policy function," Journal of Economic Dynamics and Control, Elsevier, vol. 28(4), pages 755-775, January.
    6. Francois Gourio, 2012. "Disaster Risk and Business Cycles," American Economic Review, American Economic Association, vol. 102(6), pages 2734-2766, October.
    7. Bel, Germà & Joseph, Stephan, 2015. "Emission abatement: Untangling the impacts of the EU ETS and the economic crisis," Energy Economics, Elsevier, vol. 49(C), pages 531-539.
    8. Severin Borenstein & James Bushnell & Frank A. Wolak & Matthew Zaragoza-Watkins, 2019. "Expecting the Unexpected: Emissions Uncertainty and Environmental Market Design," American Economic Review, American Economic Association, vol. 109(11), pages 3953-3977, November.
    9. Annicchiarico, Barbara & Di Dio, Fabio, 2015. "Environmental policy and macroeconomic dynamics in a new Keynesian model," Journal of Environmental Economics and Management, Elsevier, vol. 69(C), pages 1-21.
    10. Paolo Bertoletti & Federico Etro, 2017. "Monopolistic Competition when Income Matters," Economic Journal, Royal Economic Society, vol. 127(603), pages 1217-1243, August.
    11. Liu, Yu & Tan, Xiu-Jie & Yu, Yang & Qi, Shao-Zhou, 2017. "Assessment of impacts of Hubei Pilot emission trading schemes in China – A CGE-analysis using TermCO2 model," Applied Energy, Elsevier, vol. 189(C), pages 762-769.
    12. Dissou, Yazid & Karnizova, Lilia, 2016. "Emissions cap or emissions tax? A multi-sector business cycle analysis," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 169-188.
    13. Waleed, Khalid & Mirza, Faisal Mehmood, 2020. "Examining behavioral patterns in household fuel consumption using two-stage-budgeting framework for energy and environmental policies: Evidence based on micro data from Pakistan," Energy Policy, Elsevier, vol. 147(C).
    14. Tan, Xiujie & Liu, Yu & Cui, Jingbo & Su, Bin, 2018. "Assessment of carbon leakage by channels: An approach combining CGE model and decomposition analysis," Energy Economics, Elsevier, vol. 74(C), pages 535-545.
    15. Gelfer, Sacha, 2024. "Examining business cycles and optimal monetary policy in a regional DSGE model," Economic Modelling, Elsevier, vol. 136(C).
    16. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francesco Busato & Bruno Chiarini & Gianluigi Cisco & Maria Ferrara, 2023. "Green preferences," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3211-3253, April.
    2. Huang, Bihong & Punzi, Maria Teresa & Wu, Yu, 2022. "Environmental regulation and financial stability: Evidence from Chinese manufacturing firms," Journal of Banking & Finance, Elsevier, vol. 136(C).
    3. Ying Tung Chan, 2019. "The Environmental Impacts and Optimal Environmental Policies of Macroeconomic Uncertainty Shocks: A Dynamic Model Approach," Sustainability, MDPI, vol. 11(18), pages 1-26, September.
    4. Chan, Ying Tung & Zhao, Hong, 2019. "How do credit market frictions affect carbon cycles? an estimated DSGE model approach," MPRA Paper 106987, University Library of Munich, Germany, revised 05 Dec 2020.
    5. Jianping Gu & Yi Li & Jingke Hong & Lu Wang, 2024. "Carbon emissions cap or energy technology subsidies? Exploring the carbon reduction policy based on a multi-technology sectoral DSGE model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    6. Barbara Annicchiarico & Stefano Carattini & Carolyn Fischer & Garth Heutel, 2022. "Business Cycles and Environmental Policy: A Primer," Environmental and Energy Policy and the Economy, University of Chicago Press, vol. 3(1), pages 221-253.
    7. Hinterlang, Natascha & Martin, Anika & Röhe, Oke & Stähler, Nikolai & Strobel, Johannes, 2022. "Using energy and emissions taxation to finance labor tax reductions in a multi-sector economy," Energy Economics, Elsevier, vol. 115(C).
    8. Ulrich Eydam, 2021. "The Distributional Implications of Climate Policies Under Uncertainty," CEPA Discussion Papers 33, Center for Economic Policy Analysis.
    9. Burkhard Heer & Alfred Maußner & Halvor Ruf, 2017. "Q-Targeting in New Keynesian Models," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(2), pages 189-224, November.
    10. Xu, Wenli & Xu, Kun & Lu, Hongyou, 2016. "Environmental Policy and China’s Macroeconomic Dynamics Under Uncertainty---Based on The NK Model with Distortionary Taxation," MPRA Paper 71314, University Library of Munich, Germany.
    11. Chan, Ying Tung, 2020. "Optimal emissions tax rates under habit formation and social comparisons," Energy Policy, Elsevier, vol. 146(C).
    12. Busato, Francesco & Chiarini, Bruno & Cisco, Gianluigi & Ferrara, Maria, 2021. "Greta Thunberg effect and Business Cycle Dynamics: A DSGE model," MPRA Paper 110141, University Library of Munich, Germany.
    13. Chan, Ying Tung & Ji, Qiang & Zhang, Dayong, 2024. "Optimal monetary policy responses to carbon and green bubbles:A two-sector DSGE analysis," Energy Economics, Elsevier, vol. 130(C).
    14. Punzi, Maria Teresa, 2024. "The role of macroprudential policies under carbon pricing," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 858-875.
    15. Ying Tung Chan, 2019. "Optimal Environmental Tax Rate in an Open Economy with Labor Migration—An E-DSGE Model Approach," Sustainability, MDPI, vol. 11(19), pages 1-38, September.
    16. Ulrich Eydam & Francesca Diluiso, 2022. "How to Redistribute the Revenues from Climate Policy? A Dynamic Perspective with Financially Constrained Households," CEPA Discussion Papers 45, Center for Economic Policy Analysis.
    17. Maria Teresa Punzi, 2024. "The Role of Macroprudential Policies under Carbon Pricing," Working and Discussion Papers WP 4/2024, Research Department, National Bank of Slovakia.
    18. Hinterlang, Natascha & Martin, Anika & Röhe, Oke & Stähler, Nikolai & Strobel, Johannes, 2021. "Using energy and emissions taxation to finance labor tax reductions in a multi-sector economy: An assessment with EMuSe," Discussion Papers 50/2021, Deutsche Bundesbank.
    19. Xiao, Bowen & Fan, Ying & Guo, Xiaodan, 2018. "Exploring the macroeconomic fluctuations under different environmental policies in China: A DSGE approach," Energy Economics, Elsevier, vol. 76(C), pages 439-456.
    20. Chan, Ying Tung & Qiao, Hui, 2023. "Volatility spillover between oil and stock prices: Structural connectedness based on a multi-sector DSGE model approach with Bayesian estimation," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 265-286.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:16:p:6741-:d:1451220. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.