IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v54y2023ics1544612323001058.html
   My bibliography  Save this article

Unconventional, conventional monetary policies, and optimal energy supply structure in China

Author

Listed:
  • Jin, Yi
  • Wang, Shuo
  • Bu, Lin
  • Zhai, Pengxiang

Abstract

This work quantifies the macroeconomic effects of an unconventional monetary policy–targeted refinancing, and a conventional monetary policy–general refinancing on the optimization of the energy supply structure using a dynamic stochastic general equilibrium model. The results show that targeted refinancing exclusively increases bank loans to the green energy sector with lower interest rates, which promotes the energy transition. In contrast, with general refinancing, fossil energy loans increase significantly, leading to higher outputs, while green sector outputs are negatively impacted. Our findings provide novel evidence of the differential effects of unconventional and conventional monetary policies on the energy supply structure.

Suggested Citation

  • Jin, Yi & Wang, Shuo & Bu, Lin & Zhai, Pengxiang, 2023. "Unconventional, conventional monetary policies, and optimal energy supply structure in China," Finance Research Letters, Elsevier, vol. 54(C).
  • Handle: RePEc:eee:finlet:v:54:y:2023:i:c:s1544612323001058
    DOI: 10.1016/j.frl.2023.103732
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323001058
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2023.103732?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Campiglio, Emanuele, 2016. "Beyond carbon pricing: The role of banking and monetary policy in financing the transition to a low-carbon economy," Ecological Economics, Elsevier, vol. 121(C), pages 220-230.
    2. Plakandaras, Vasilios & Gupta, Rangan & Balcilar, Mehmet & Ji, Qiang, 2022. "Evolving United States stock market volatility: The role of conventional and unconventional monetary policies," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    3. Chu, Yongqiang & Li, Zeguang, 2022. "Banking relationship, information reusability, and acquisition loans," Journal of Banking & Finance, Elsevier, vol. 138(C).
    4. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    5. Weale, Martin & Wieladek, Tomasz, 2022. "Financial effects of QE and conventional monetary policy compared," Journal of International Money and Finance, Elsevier, vol. 127(C).
    6. Bauer, Michael D. & Neely, Christopher J., 2014. "International channels of the Fed's unconventional monetary policy," Journal of International Money and Finance, Elsevier, vol. 44(C), pages 24-46.
    7. Leonardo Gambacorta & Boris Hofmann & Gert Peersman, 2014. "The Effectiveness of Unconventional Monetary Policy at the Zero Lower Bound: A Cross‐Country Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(4), pages 615-642, June.
    8. Diamond, Douglas W, 1985. "Optimal Release of Information by Firms," Journal of Finance, American Finance Association, vol. 40(4), pages 1071-1094, September.
    9. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    10. Andrea Gerali & Stefano Neri & Luca Sessa & Federico M. Signoretti, 2010. "Credit and Banking in a DSGE Model of the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(s1), pages 107-141, September.
    11. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    12. Sarah Mouabbi & Jean‐Guillaume Sahuc, 2019. "Evaluating the Macroeconomic Effects of the ECB's Unconventional Monetary Policies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(4), pages 831-858, June.
    13. Rabanal, Pau & Rubio-Ramirez, Juan F., 2005. "Comparing New Keynesian models of the business cycle: A Bayesian approach," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1151-1166, September.
    14. Apergis, Nicholas & Chatziantoniou, Ioannis & Cooray, Arusha, 2020. "Monetary policy and commodity markets: Unconventional versus conventional impact and the role of economic uncertainty," International Review of Financial Analysis, Elsevier, vol. 71(C).
    15. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    16. Mr. Jiaqian Chen & Mr. Tommaso Mancini-Griffoli & Ms. Ratna Sahay, 2014. "Spillovers from United States Monetary Policy on Emerging Markets: Different This Time?," IMF Working Papers 2014/240, International Monetary Fund.
    17. Yu, Fan, 2005. "Accounting transparency and the term structure of credit spreads," Journal of Financial Economics, Elsevier, vol. 75(1), pages 53-84, January.
    18. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, 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. Matthieu Darracq Paries, 2018. "Financial frictions and monetary policy conduct," Erudite Ph.D Dissertations, Erudite, number ph18-01 edited by Ferhat Mihoubi, December.
    2. Vitek, Francis, 2006. "Measuring the Stance of Monetary Policy in a Small Open Economy: A Dynamic Stochastic General Equilibrium Approach," MPRA Paper 802, University Library of Munich, Germany.
    3. Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
    4. Federico Di Pace & Matthias Hertweck, 2019. "Labor Market Frictions, Monetary Policy, and Durable Goods," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 274-304, April.
    5. Albonico, Alice & Tirelli, Patrizio, 2020. "Financial crises and sudden stops: Was the European monetary union crisis different?," Economic Modelling, Elsevier, vol. 93(C), pages 13-26.
    6. Hibiki Ichiue & Takushi Kurozumi & Takeki Sunakawa, 2013. "Inflation Dynamics And Labor Market Specifications: A Bayesian Dynamic Stochastic General Equilibrium Approach For Japan'S Economy," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 273-287, January.
    7. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
    8. Falagiarda, Matteo & Saia, Alessandro, 2017. "Credit, Endogenous Collateral and Risky Assets: A DSGE Model," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 125-148.
    9. Bechný Jakub, 2019. "Output gap in the Czech economy: DSGE approach," Review of Economic Perspectives, Sciendo, vol. 19(2), pages 137-156, June.
    10. Dominic Quint & Pau Rabanal, 2014. "Monetary and Macroprudential Policy in an Estimated DSGE Model of the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 10(2), pages 169-236, June.
    11. Gali, Jordi & Gertler, Mark & David Lopez-Salido, J., 2005. "Robustness of the estimates of the hybrid New Keynesian Phillips curve," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1107-1118, September.
    12. Kirchner Philipp, 2020. "On Shadow Banking and Financial Frictions in DSGE Modeling," Review of Economics, De Gruyter, vol. 71(2), pages 101-133, August.
    13. Blattner Tobias S. & Swarbrick Jonathan M., 2021. "Monetary Policy and Cross-Border Interbank Market Fragmentation: Lessons from the Crisis," The B.E. Journal of Macroeconomics, De Gruyter, vol. 21(1), pages 323-368, January.
    14. Melina, Giovanni & Villa, Stefania, 2023. "Drivers of large recessions and monetary policy responses," Journal of International Money and Finance, Elsevier, vol. 137(C).
    15. Carlos A. Medel, 2018. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," International Economic Journal, Taylor & Francis Journals, vol. 32(3), pages 331-371, July.
    16. Benjamin D. Keen & Evan F. Koenig, 2018. "How Robust Are Popular Models of Nominal Frictions?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(6), pages 1299-1342, September.
    17. Andrew T. Levin & Alexei Onatski & John Williams & Noah M. Williams, 2006. "Monetary Policy under Uncertainty in Micro-Founded Macroeconometric Models," NBER Chapters, in: NBER Macroeconomics Annual 2005, Volume 20, pages 229-312, National Bureau of Economic Research, Inc.
    18. S. Boragan Aruoba & Frank Schorfheide, 2011. "Sticky Prices versus Monetary Frictions: An Estimation of Policy Trade-Offs," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(1), pages 60-90, January.
    19. Del Negro, Marco & Schorfheide, Frank, 2008. "Forming priors for DSGE models (and how it affects the assessment of nominal rigidities)," Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1191-1208, October.
    20. Özer Karagedikli & Troy Matheson & Christie Smith & Shaun P. Vahey, 2010. "RBCs AND DSGEs: THE COMPUTATIONAL APPROACH TO BUSINESS CYCLE THEORY AND EVIDENCE," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 113-136, February.

    More about this item

    Keywords

    Targeted refinancing; General refinancing; Energy supply structure; DSGE;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

    Statistics

    Access and download statistics

    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:eee:finlet:v:54:y:2023:i:c:s1544612323001058. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.