IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v233y2023ics0165176523004317.html

Climate policy uncertainty through production networks: Evidence from the stock market

Author

Listed:
  • Yao, Xiaoyang
  • He, Wenjing
  • Li, Jianfeng
  • Le, Wei

Abstract

This thesis provides a deeper insight into quantifying the part of the production network in explaining spillovers of climate policy uncertainty (CPU) shocks to stock returns. By introducing world input–output data into the spatial vector autoregression (SAR) model, we distinguish the direct impact of CPU and the indirect impact occurring through the production network. The results show that more than 60 % of CPU’ effect on the stock market can be explained by the spillovers induced by the production network. In addition, the indirect effect is more obvious in the long term than in the short term.

Suggested Citation

  • Yao, Xiaoyang & He, Wenjing & Li, Jianfeng & Le, Wei, 2023. "Climate policy uncertainty through production networks: Evidence from the stock market," Economics Letters, Elsevier, vol. 233(C).
  • Handle: RePEc:eee:ecolet:v:233:y:2023:i:c:s0165176523004317
    DOI: 10.1016/j.econlet.2023.111405
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176523004317
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2023.111405?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Daron Acemoglu & Pablo D. Azar, 2020. "Endogenous Production Networks," Econometrica, Econometric Society, vol. 88(1), pages 33-82, January.
    2. Dutta, Anupam & Bouri, Elie & Rothovius, Timo & Uddin, Gazi Salah, 2023. "Climate risk and green investments: New evidence," Energy, Elsevier, vol. 265(C).
    3. Treepongkaruna, Sirimon & Chan, Kam Fong & Malik, Ihtisham, 2023. "Climate policy uncertainty and the cross-section of stock returns," Finance Research Letters, Elsevier, vol. 55(PA).
    4. Wang, Xiaoyuan & Wang, Jiahaoran & Guan, Weimin & Taghizadeh-Hesary, Farhad, 2023. "Role of ESG investments in achieving COP-26 targets," Energy Economics, Elsevier, vol. 123(C).
    5. Bouri, Elie & Iqbal, Najaf & Klein, Tony, 2022. "Climate policy uncertainty and the price dynamics of green and brown energy stocks," Finance Research Letters, Elsevier, vol. 47(PB).
    6. Michael Weber & Ali Ozdagli, 2016. "Monetary Policy Through Production Networks: Evidence from the Stock Market," 2016 Meeting Papers 148, Society for Economic Dynamics.
    7. Michael Weber & Ali Ozdagli, 2016. "Monetary Policy Through Production Networks: Evidence from the Stock Market," 2016 Meeting Papers 148, Society for Economic Dynamics.
    8. Auer, Raphael A. & Mehrotra, Aaron, 2014. "Trade linkages and the globalisation of inflation in Asia and the Pacific," Journal of International Money and Finance, Elsevier, vol. 49(PA), pages 129-151.
    9. Julian Di Giovanni & Galina Hale, 2022. "Stock Market Spillovers via the Global Production Network: Transmission of U.S. Monetary Policy," Journal of Finance, American Finance Association, vol. 77(6), pages 3373-3421, December.
    10. Ouyang, Ruolan & Zhuang, Chengkai & Wang, Tingting & Zhang, Xuan, 2022. "Network analysis of risk transmission among energy futures: An industrial chain perspective," Energy Economics, Elsevier, vol. 107(C).
    11. Guo, Mengmeng & Kuai, Yicheng & Liu, Xiaoyan, 2020. "Stock market response to environmental policies: Evidence from heavily polluting firms in China," Economic Modelling, Elsevier, vol. 86(C), pages 306-316.
    12. Daron Acemoglu & Ufuk Akcigit & William Kerr, 2016. "Networks and the Macroeconomy: An Empirical Exploration," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 273-335.
    13. Christoph E. Boehm & Aaron Flaaen & Nitya Pandalai-Nayar, 2019. "Input Linkages and the Transmission of Shocks: Firm-Level Evidence from the 2011 Tōhoku Earthquake," The Review of Economics and Statistics, MIT Press, vol. 101(1), pages 60-75, March.
    14. Alfaro, Laura & García-Santana, Manuel & Moral-Benito, Enrique, 2021. "On the direct and indirect real effects of credit supply shocks," Journal of Financial Economics, Elsevier, vol. 139(3), pages 895-921.
    15. Barauskaite, Kristina & Nguyen, Anh D.M., 2021. "Global intersectoral production network and aggregate fluctuations," Economic Modelling, Elsevier, vol. 102(C).
    16. Neil M. Coe & Karen P. Y. Lai & Dariusz W�jcik, 2014. "Integrating Finance into Global Production Networks," Regional Studies, Taylor & Francis Journals, vol. 48(5), pages 761-777, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wu, Guo & Hu, Guoheng, 2024. "Asymmetric spillovers and resilience in physical and financial assets amid climate policy uncertainties: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    2. Chen, Jiusheng & Wang, Xianning, 2025. "Climate policy uncertainty and the Chinese sectoral stock market: A multilayer network analysis," Economic Systems, Elsevier, vol. 49(1).
    3. Tommaso, Caterina Di & Foglia, Matteo & Pacelli, Vincenzo, 2024. "The impact of climate policy uncertainty on the Italian financial market," Finance Research Letters, Elsevier, vol. 69(PA).
    4. Li, Jianfeng & Yao, Xiaoyang & Wang, Hui & Le, Wei, 2024. "Hedging the climate change risks of China's brown assets: Green assets or precious metals?," International Review of Economics & Finance, Elsevier, vol. 94(C).
    5. Wu, Ruirui, 2026. "How do climate risk and geopolitical risk impact shipping markets?," Research in International Business and Finance, Elsevier, vol. 81(C).
    6. Hu, Xin & Zhu, Bo, 2025. "Do climate risks matter for intersectoral systemic risk spillovers? Evidence from China," Finance Research Letters, Elsevier, vol. 75(C).
    7. Mingyu Shu & Jieli Wang & Menglong Chen & Hanru Wang, 2025. "Multi-scale Dynamic Correlation Between Climate Shock and China's Stock Market: Evidence Based on High Frequency Data," Computational Economics, Springer;Society for Computational Economics, vol. 66(3), pages 2265-2304, September.
    8. Yao, Xiaoyang & Maimaitijiang, Sairidaer & Li, Jianfeng & Le, Wei, 2025. "How financial markets respond to climate policy uncertainty: A dynamic resilience analysis," Journal of Commodity Markets, Elsevier, vol. 39(C).
    9. He, Wenjing & Yao, Xiaoyang & Sun, Xiaolei & Le, Wei & Yi, Ronghua, 2024. "Dynamic spillovers of green, brown, and financial industries under the low-carbon transition: Evidence from China," Energy Economics, Elsevier, vol. 139(C).
    10. Ruge-Murcia, Francisco, 2024. "Asset prices in a production network," European Economic Review, Elsevier, vol. 166(C).
    11. Chiang, Thomas C., 2025. "The effect of climate policy uncertainty and induced risks on US aggregate and sectoral stock returns," Research in International Business and Finance, Elsevier, vol. 76(C).
    12. repec:ers:ijfirm:v:16:y:2026:i:1:p:119-137 is not listed on IDEAS
    13. Yuan, Jiayuan & Zhu, Weineng & Huang, Zishan & Zhu, Huiming, 2026. "Time-frequency quantile effect of global uncertainty on stock markets: evidence from wavelet decomposition," The North American Journal of Economics and Finance, Elsevier, vol. 81(C).
    14. Yao, Yinhong & Feng, Zhuoqi & Liu, Xueyong, 2025. "Heterogeneous information transmission between climate policy uncertainty and Chinese new energy markets: A quantile-on-quantile transfer entropy method," International Review of Financial Analysis, Elsevier, vol. 103(C).
    15. Lu, Peng & Wang, Ziwei & Lu, Kun, 2025. "Climate Disaster, Investor Attention, and Tail Risk: Graph-based CoVaR," Economics Letters, Elsevier, vol. 253(C).
    16. Niu, Hongli & Hu, Wenwen, 2024. "Static and dynamic interdependencies among natural gas, stocks of global major economies and uncertainty," Resources Policy, Elsevier, vol. 94(C).
    17. Leirvik, Thomas, 2025. "Interactive effects of economic, geopolitical, and climate risks on commodity volatility," Journal of Commodity Markets, Elsevier, vol. 40(C).

    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. Qi, Tong & Ying, Jiezhou, 2025. "U.S. monetary policy and portfolio spillover effects: The role of global production network," Journal of International Money and Finance, Elsevier, vol. 151(C).
    2. Dong, Feng & Wen, Yi, 2019. "Long and Plosser meet Bewley and Lucas," Journal of Monetary Economics, Elsevier, vol. 102(C), pages 70-92.
    3. Julian Di Giovanni & Galina Hale, 2022. "Stock Market Spillovers via the Global Production Network: Transmission of U.S. Monetary Policy," Journal of Finance, American Finance Association, vol. 77(6), pages 3373-3421, December.
    4. Kristina Barauskaite & Anh Dinh Minh Nguyen, 2021. "Direct and network effects of idiosyncratic TFP shocks," Empirical Economics, Springer, vol. 60(6), pages 2765-2793, June.
    5. Petre Caraiani & Alina Mihaela Dima & Cristian Păun & Tănase Stamule & Madalina Vanesa Vargas, 2024. "Production networks and resilience: How dense production networks shield economies in financial crisis," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-14, April.
    6. Kristina Barauskaite & Anh D. M. Nguyen, 2022. "Intersectoral network‐based channel of aggregate TFP shocks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3897-3910, October.
    7. Vasco M. Carvalho & Alireza Tahbaz-Salehi, 2019. "Production Networks: A Primer," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 635-663, August.
    8. Yoshiyuki ARATA & Daisuke MIYAKAWA, 2022. "Demand Shock Propagation Through an Input-output Network in Japan," Discussion papers 22027, Research Institute of Economy, Trade and Industry (RIETI).
    9. Arata, Yoshiyuki & Miyakawa, Daisuke, 2024. "Demand shock propagation through input-output linkages in Japan," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 262-283.
    10. Michael Olabisi, 2020. "Input–Output Linkages and Sectoral Volatility," Economica, London School of Economics and Political Science, vol. 87(347), pages 713-746, July.
    11. He, Wenjing & Yao, Xiaoyang & Sun, Xiaolei & Le, Wei & Yi, Ronghua, 2024. "Dynamic spillovers of green, brown, and financial industries under the low-carbon transition: Evidence from China," Energy Economics, Elsevier, vol. 139(C).
    12. Barauskaite, Kristina & Nguyen, Anh D.M., 2021. "Global intersectoral production network and aggregate fluctuations," Economic Modelling, Elsevier, vol. 102(C).
    13. Feng Dong & Yi Wen, 2019. "Time-Varying Networks and the Efficacy of Money Without Sticky Prices," 2019 Meeting Papers 1464, Society for Economic Dynamics.
    14. Mandel, Antoine & Taghawi-Nejad, Davoud & Veetil, Vipin P., 2019. "The price effects of monetary shocks in a network economy," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 300-316.
    15. Caraiani, Petre & Dutescu, Adriana & Hoinaru, Răzvan & Stănilă, Georgiana Oana, 2020. "Production network structure and the impact of the monetary policy shocks: Evidence from the OECD," Economics Letters, Elsevier, vol. 193(C).
    16. Goya, Daniel, 2021. "The network effect of Chinese competition on what domestic suppliers produce," Economic Modelling, Elsevier, vol. 102(C).
    17. Längle, Katharina & Xu, Ankai & Tian, Ruijie, 2021. "Assessing the supply chain effect of natural disasters: Evidence from Chinese manufacturers," WTO Staff Working Papers ERSD-2021-13, World Trade Organization (WTO), Economic Research and Statistics Division.
    18. Anja Sebbesen & Harald Oberhofer, 2018. "The Propagation of Business Sentiment within the European Union?," WIFO Working Papers 549, WIFO.
    19. Pasten, Ernesto & Schoenle, Raphael & Weber, Michael, 2020. "The propagation of monetary policy shocks in a heterogeneous production economy," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 1-22.
    20. Daniel Goya, 2019. "Chinese competition and network effects on the extensive margin," Working Papers 2019-01, Escuela de Negocios y Economía, Pontificia Universidad Católica de Valparaíso.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:ecolet:v:233:y:2023:i:c:s0165176523004317. 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/ecolet .

    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.