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Carbon emission allowance, global climate risk, and agricultural futures: An extreme spillover analysis in China

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  • Yao, Zengfu
  • Chen, Yonghuai
  • Deng, Shicheng
  • Zhang, Yifeng
  • Wei, Yu

Abstract

The aim of this paper is to investigate the extreme spillover effects between the newly launched China's national carbon emission allowance and agricultural futures markets with the influence of global climate risk. The results show that, first, under both normal and extreme market (climate risk) conditions, the three edible oil futures, i.e., soybean oil, palm oil and rapeseed oil, are strong spillover senders to other agricultural futures. Second, under low and normal climate risk states, climate transition risk is a spillover transmitter, while under high climate risk states, climate physical risk becomes a spillover sender. In addition, the network analysis shows that climate risk is an important information receiving and disseminating node, and large changes in it can lead to increased systemic risk across the network. Finally, China's carbon emission allowance market is always a spillover receiver across different market (climate risk) conditions, and can be used as an appropriate hedging instrument for climate risk and agricultural futures. These findings have valuable implications for both policymakers and agricultural investors.

Suggested Citation

  • Yao, Zengfu & Chen, Yonghuai & Deng, Shicheng & Zhang, Yifeng & Wei, Yu, 2025. "Carbon emission allowance, global climate risk, and agricultural futures: An extreme spillover analysis in China," Finance Research Letters, Elsevier, vol. 71(C).
  • Handle: RePEc:eee:finlet:v:71:y:2025:i:c:s154461232401420x
    DOI: 10.1016/j.frl.2024.106391
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    References listed on IDEAS

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    1. Wei, Yu & Wang, Yizhi & Vigne, Samuel A. & Ma, Zhenyu, 2023. "Alarming contagion effects: The dangerous ripple effect of extreme price spillovers across crude oil, carbon emission allowance, and agriculture futures markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    2. Jiao Chen & Dingqiang Sun & Funing Zhong & Yanjun Ren & Lei Li, 2024. "Can we design food taxes to reduce agricultural greenhouse gas emissions in China? A perspective from animal protein intake of low-income populations," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 16(3), pages 389-420, February.
    3. Kamel Si Mohammed & Vanessa Serret & Christian Urom, 2024. "The Effect of Green Bonds on Climate Risk Amid Economic and Environmental policy uncertainties," Post-Print hal-04444957, HAL.
    4. Bai, Lan & Wei, Yu & Zhang, Jiahao & Wang, Yizhi & Lucey, Brian M., 2023. "Diversification effects of China's carbon neutral bond on renewable energy stock markets: A minimum connectedness portfolio approach," Energy Economics, Elsevier, vol. 123(C).
    5. Liu, Xiaoqian & Cifuentes-Faura, Javier & Zhao, Shikuan & Wang, Long, 2023. "Government environmental attention and carbon emissions governance: Firm-level evidence from China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 121-142.
    6. Yongqiang Zhang & Quanyao Dong & Guifang Ma, 2023. "Effects of Rural Population Aging on Agricultural Carbon Emissions in China," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
    7. Lyu, Yongjian & Tuo, Siwei & Wei, Yu & Yang, Mo, 2021. "Time-varying effects of global economic policy uncertainty shocks on crude oil price volatility:New evidence," Resources Policy, Elsevier, vol. 70(C).
    8. Giovanna Bua & Daniel Kapp & Federico Ramella & Lavinia Rognone, 2024. "Transition versus physical climate risk pricing in European financial markets: a text-based approach," The European Journal of Finance, Taylor & Francis Journals, vol. 30(17), pages 2076-2110, November.
    9. Mengfei Song & Qiuyi Wu & Honghui Zhu, 2024. "Could the Aging of the Rural Population Boost Green Agricultural Total Factor Productivity? Evidence from China," Sustainability, MDPI, vol. 16(14), pages 1-22, July.
    10. Li, Kai & Qi, Shouzhou & Shi, Xunpeng, 2023. "Environmental policies and low-carbon industrial upgrading: Heterogenous effects among policies, sectors, and technologies in China," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    11. Tomohiro Ando & Matthew Greenwood-Nimmo & Yongcheol Shin, 2022. "Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks," Management Science, INFORMS, vol. 68(4), pages 2401-2431, April.
    12. Mohammed, Kamel Si & Serret, Vanessa & Urom, Christian, 2024. "The effect of green bonds on climate risk amid economic and environmental policy uncertainties," Finance Research Letters, Elsevier, vol. 62(PA).
    13. Tingting Li & Hongwei Lu & Qiyou Luo & Guojing Li & Mingjie Gao, 2024. "The Impact of Rural Population Aging on Agricultural Cropping Structure: Evidence from China’s Provinces," Agriculture, MDPI, vol. 14(4), pages 1-19, April.
    14. Chen, Yongfei & Wei, Yu & Bai, Lan & Zhang, Jiahao, 2023. "Can Green Economy stocks hedge natural gas market risk? Evidence during Russia-Ukraine conflict and other crisis periods," Finance Research Letters, Elsevier, vol. 53(C).
    15. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    16. Zhu, Pengfei & Lu, Tuantuan & Shang, Yue & Zhang, Zerong & Wei, Yu, 2023. "Can China's national carbon trading market hedge the risks of light and medium crude oil? A comparative analysis with the European carbon market," Finance Research Letters, Elsevier, vol. 58(PA).
    17. Wang, Jiangbo & Xue, Yefei & Han, Mingyang, 2023. "Impact of carbon emission price and natural resources development on the green economic recovery: Fresh insights from China," Resources Policy, Elsevier, vol. 81(C).
    18. Li, Xiafei & Li, Bo & Wei, Guiwu & Bai, Lan & Wei, Yu & Liang, Chao, 2021. "Return connectedness among commodity and financial assets during the COVID-19 pandemic: Evidence from China and the US," Resources Policy, Elsevier, vol. 73(C).
    19. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    20. Faccini, Renato & Matin, Rastin & Skiadopoulos, George, 2023. "Dissecting climate risks: Are they reflected in stock prices?," Journal of Banking & Finance, Elsevier, vol. 155(C).
    21. Chen, Yongfei & Wei, Yu & Bai, Lan & Zhang, Jiahao & Wang, Zhuo, 2023. "Connectedness and hedging effects among China's nonferrous metal, crude oil and green bond markets: An extreme perspective," Finance Research Letters, Elsevier, vol. 58(PA).
    22. Yanling Zong & Libang Ma & Zhihao Shi & Min Gong, 2023. "Agricultural Eco-Efficiency Response and Its Influencing Factors from the Perspective of Rural Population Outflowing: A Case Study in Qinan County, China," IJERPH, MDPI, vol. 20(2), pages 1-21, January.
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    More about this item

    Keywords

    China's national carbon emission allowance market; Climate risk; Agricultural futures; Extreme spillover;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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