IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v66y2023ics027553192300199x.html
   My bibliography  Save this article

Connectedness between carbon and sectoral commodity markets: Evidence from China

Author

Listed:
  • Wu, Ruirui
  • Qin, Zhongfeng
  • Liu, Bing-Yue

Abstract

The carbon market is an efficient mechanism to reduce CO2 emissions and thus respond to climate change. This work reveals the connectedness and its determinants between carbon and sectoral commodity markets in China. For this purpose, we apply the newly developed quantile-based connectedness measures that allow us to distinguish the relationship between markets under normal and extreme market conditions. The results indicate that: (i) the total spillovers in the carbon-commodity system in both tails are apparently bigger than that at the middle quantile, and are obviously affected by the Russia-Ukraine conflict; (ii) carbon markets receive more information from carbon-intensive commodity markets than from relatively low-carbon commodity markets in both tails; (iii) carbon markets mainly exhibit commodity attributes under normal market conditions, but exhibit commodity and financial attributes under extreme market conditions; and (iv) the spillovers between carbon and commodity markets are more influenced by monetary policy factors in both tails.

Suggested Citation

  • Wu, Ruirui & Qin, Zhongfeng & Liu, Bing-Yue, 2023. "Connectedness between carbon and sectoral commodity markets: Evidence from China," Research in International Business and Finance, Elsevier, vol. 66(C).
    • Handle: RePEc:eee:riibaf:v:66:y:2023:i:c:s027553192300199x
    DOI: 10.1016/j.ribaf.2023.102073
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S027553192300199X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ribaf.2023.102073?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. Zhu, Huiming & Chen, Weiyan & Hau, Liya & Chen, Qitong, 2021. "Time-frequency connectedness of crude oil, economic policy uncertainty and Chinese commodity markets: Evidence from rolling window analysis," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    2. Li, Wenqi, 2021. "COVID-19 and asymmetric volatility spillovers across global stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    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. Wen, Fenghua & Wang, Kangsheng & Zeng, Aiqing, 2024. "Return spillover across the carbon market and financial markets: A quantile-based approach," Research in International Business and Finance, Elsevier, vol. 69(C).
    2. Ha, Le Thanh & Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2024. "Dynamic interlinkages between carbon risk and volatility of green and renewable energy: A TVP-VAR analysis," Research in International Business and Finance, Elsevier, vol. 69(C).
    3. Ding, Shusheng & Wang, Anqi & Cui, Tianxiang & Du, Anna Min & Zhou, Xinmiao, 2024. "Commodity market stability and sustainable development: The effect of public health policies," Research in International Business and Finance, Elsevier, vol. 70(PB).
    4. Wu, Ruirui & Qin, Zhongfeng, 2024. "Asymmetric volatility spillovers among new energy, ESG, green bond and carbon markets," Energy, Elsevier, vol. 292(C).
    5. Ghaemi Asl, Mahdi & Ben Jabeur, Sami, 2024. "Could the Russia-Ukraine war stir up the persistent memory of interconnectivity among Islamic equity markets, energy commodities, and environmental factors?," Research in International Business and Finance, Elsevier, vol. 69(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. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2022. "Spillovers and diversification benefits between oil futures and ASEAN stock markets," Resources Policy, Elsevier, vol. 79(C).
    2. Jiang, Wei & Chen, Yunfei, 2022. "The time-frequency connectedness among metal, energy and carbon markets pre and during COVID-19 outbreak," Resources Policy, Elsevier, vol. 77(C).
    3. Cevik, Emrah Ismail & Caliskan Terzioglu, Hande & Kilic, Yunus & Bugan, Mehmet Fatih & Dibooglu, Sel, 2024. "Interconnectedness and systemic risk: Evidence from global stock markets," Research in International Business and Finance, Elsevier, vol. 69(C).
    4. Zhou, Yuqin & Liu, Zhenhua & Wu, Shan, 2022. "The global economic policy uncertainty spillover analysis: In the background of COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 61(C).
    5. 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).
    6. Boateng, Ebenezer & Asafo-Adjei, Emmanuel & Addison, Alex & Quaicoe, Serebour & Yusuf, Mawusi Ayisat & Abeka, Mac Junior & Adam, Anokye M., 2022. "Interconnectedness among commodities, the real sector of Ghana and external shocks," Resources Policy, Elsevier, vol. 75(C).
    7. Wu, Hao & Zhu, Huiming & Huang, Fei & Mao, Weifang, 2023. "How does economic policy uncertainty drive time–frequency connectedness across commodity and financial markets?," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    8. Song, Ying & Bouri, Elie & Ghosh, Sajal & Kanjilal, Kakali, 2021. "Rare earth and financial markets: Dynamics of return and volatility connectedness around the COVID-19 outbreak," Resources Policy, Elsevier, vol. 74(C).
    9. Huang, Zishan & Zhu, Huiming & Hau, Liya & Deng, Xi, 2023. "Time-frequency co-movement and network connectedness between green bond and financial asset markets: Evidence from multiscale TVP-VAR analysis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    10. Dai, Zhifeng & Zhu, Haoyang, 2023. "Dynamic risk spillover among crude oil, economic policy uncertainty and Chinese financial sectors," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 421-450.
    11. Wang, Yilei & Cheng, Sheng & Cao, Yan, 2022. "How does economic policy uncertainty respond to the global oil price fluctuations? Evidence from BRICS countries," Resources Policy, Elsevier, vol. 79(C).
    12. Qiao, Xingzhi & Zhu, Huiming & Zhang, Zhongqingyang & Mao, Weifang, 2022. "Time-frequency transmission mechanism of EPU, investor sentiment and financial assets: A multiscale TVP-VAR connectedness analysis," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    13. Naeem, Muhammad Abubakr & Anwer, Zaheer & Khan, Ashraf & Paltrinieri, Andrea, 2024. "Do market conditions affect interconnectedness pattern of socially responsible equities?," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 611-630.
    14. Wu, Xinyu & Jiang, Zhengting, 2023. "Time-varying asymmetric volatility spillovers among China’s carbon markets, new energy market and stock market under the shocks of major events," Energy Economics, Elsevier, vol. 126(C).
    15. Ștefan Cristian Gherghina & Daniel Ștefan Armeanu & Camelia Cătălina Joldeș, 2021. "COVID-19 Pandemic and Romanian Stock Market Volatility: A GARCH Approach," JRFM, MDPI, vol. 14(8), pages 1-29, July.
    16. Li, Yanshuang & Shi, Yujie & Shi, Yongdong & Yi, Shangkun & Zhang, Weiping, 2023. "COVID-19 vaccinations and risk spillovers: Evidence from Asia-Pacific stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    17. Zhang, Yi & Zhou, Long & Chen, Yajiao & Liu, Fang, 2022. "The contagion effect of jump risk across Asian stock markets during the Covid-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    18. Dai, Zhifeng & Zhu, Junxin & Zhang, Xinhua, 2022. "Time-frequency connectedness and cross-quantile dependence between crude oil, Chinese commodity market, stock market and investor sentiment," Energy Economics, Elsevier, vol. 114(C).
    19. Li, Rong & Tang, Guangyuan & Hong, Chen & Li, Sufang & Li, Bingting & Xiang, Shujian, 2024. "A study on economic policy uncertainty, geopolitical risk and stock market spillovers in BRICS countries," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
    20. Liu, Yan & Cheng, Xian & Liao, Stephen Shaoyi & Yang, Feng, 2023. "The impact of COVID-19 on the tourism and hospitality Industry: Evidence from international stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).

    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:riibaf:v:66:y:2023:i:c:s027553192300199x. 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/ribaf .

    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.