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Carbon–agriculture market connectedness under the EU ETS: Evidence on sectoral heterogeneity and market states

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  • Yan, Kejia
  • Lin, Boqiang

Abstract

This study examines the dynamic connectedness structure between European Union Allowance (EUA) futures and agricultural commodity futures, with the aim of assessing how climate policy–related unintended economic impacts may be reflected across different agricultural sectors and market states. Rather than focusing on causal transmission, the analysis adopts a connectedness-based monitoring perspective, using futures markets as forward-looking indicators of evolving cost pressures and market sensitivities associated with climate policy implementation. Using daily data spanning all four trading phases of the EU Emissions Trading System (EU ETS) from 2007 to 2024, we document pronounced sectoral heterogeneity and state dependence in carbon–agriculture market linkages. Grain futures consistently exhibit directional dominance in their bilateral connectedness with EUA futures across market conditions, indicating strong structural resilience in staple food markets. In contrast, non-grain agricultural futures display greater heterogeneity, with their directional exposure to carbon market dynamics becoming more pronounced in later trading phases and under specific quantile conditions. These findings suggest that climate policy–related unintended economic impacts are unlikely to manifest uniformly across food systems, but may emerge more selectively along specific segments of the agricultural value chain and under particular market states. By highlighting where and when such sensitivities become more visible within market interactions, this study contributes to a more nuanced understanding of the broader economic implications of climate policy implementation, while offering a policy-relevant diagnostic framework that complements traditional price- or outcome-based evaluations.

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  • Yan, Kejia & Lin, Boqiang, 2026. "Carbon–agriculture market connectedness under the EU ETS: Evidence on sectoral heterogeneity and market states," Energy Economics, Elsevier, vol. 154(C).
    • Handle: RePEc:eee:eneeco:v:154:y:2026:i:c:s0140988326000393
    DOI: 10.1016/j.eneco.2026.109160
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    1. Anke, Carl-Philipp & Hobbie, Hannes & Schreiber, Steffi & Möst, Dominik, 2020. "Coal phase-outs and carbon prices: Interactions between EU emission trading and national carbon mitigation policies," Energy Policy, Elsevier, vol. 144(C).
    2. Hintermann, Beat, 2010. "Allowance price drivers in the first phase of the EU ETS," Journal of Environmental Economics and Management, Elsevier, vol. 59(1), pages 43-56, January.
    3. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    4. Wang, Qian & Hubacek, Klaus & Feng, Kuishuang & Guo, Lin & Zhang, Kun & Xue, Jinjun & Liang, Qiao-Mei, 2019. "Distributional impact of carbon pricing in Chinese provinces," Energy Economics, Elsevier, vol. 81(C), pages 327-340.
    5. Ye, Jing & Xue, Minggao, 2021. "Influences of sentiment from news articles on EU carbon prices," Energy Economics, Elsevier, vol. 101(C).
    6. Seifert, Jan & Uhrig-Homburg, Marliese & Wagner, Michael, 2008. "Dynamic behavior of CO2 spot prices," Journal of Environmental Economics and Management, Elsevier, vol. 56(2), pages 180-194, September.
    7. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2021. "Hedging stocks with oil," Energy Economics, Elsevier, vol. 93(C).
    8. Engler, Daniel & Gutsche, Gunnar & Simixhiu, Amantia & Ziegler, Andreas, 2023. "On the relationship between corporate CO2 offsetting and pro-environmental activities in small- and medium-sized firms in Germany," Energy Economics, Elsevier, vol. 118(C).
    9. 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.
    10. Wang, Kai-Hua & Kan, Jia-Min & Qiu, Lianhong & Xu, Shulin, 2023. "Climate policy uncertainty, oil price and agricultural commodity: From quantile and time perspective," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 256-272.
    11. Wang, Jie & Liu, Tangyong & Pan, Na, 2023. "Analyzing quantile spillover effects among international financial markets," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    12. Zhu, Bangzhu & Ye, Shunxin & Han, Dong & Wang, Ping & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "A multiscale analysis for carbon price drivers," Energy Economics, Elsevier, vol. 78(C), pages 202-216.
    13. Gozgor, Giray & Khalfaoui, Rabeh & Yarovaya, Larisa, 2023. "Global supply chain pressure and commodity markets: Evidence from multiple wavelet and quantile connectedness analyses," Finance Research Letters, Elsevier, vol. 54(C).
    14. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    15. Lovcha, Yuliya & Perez-Laborda, Alejandro & Sikora, Iryna, 2022. "The determinants of CO2 prices in the EU emission trading system," Applied Energy, Elsevier, vol. 305(C).
    16. Ren, Xiaohang & Li, Yiying & Qi, Yinshu & Duan, Kun, 2022. "Asymmetric effects of decomposed oil-price shocks on the EU carbon market dynamics," Energy, Elsevier, vol. 254(PB).
    17. Farid, Saqib & Naeem, Muhammad Abubakr & Paltrinieri, Andrea & Nepal, Rabindra, 2022. "Impact of COVID-19 on the quantile connectedness between energy, metals and agriculture commodities," Energy Economics, Elsevier, vol. 109(C).
    18. Rausch, Sebastian & Metcalf, Gilbert & Reilly, John, 2021. "Distributional impacts of carbon pricing: A general equilibrium approach with micro data for households," CEPR Press Book Chapters, in: Weder di Mauro, Beatrice (ed.), Combating Climate Change: A CEPR Collection, edition 1, volume 1, chapter 8, Centre for Economic Policy Research.
    19. Sharif, Arshian & Brahim, Mariem & Dogan, Eyup & Tzeremes, Panayiotis, 2023. "Analysis of the spillover effects between green economy, clean and dirty cryptocurrencies," Energy Economics, Elsevier, vol. 120(C).
    20. Clora, Francesco & Yu, Wusheng & Corong, Erwin, 2023. "Alternative carbon border adjustment mechanisms in the European Union and international responses: Aggregate and within-coalition results," Energy Policy, Elsevier, vol. 174(C).
    21. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Adewuyi, Adeolu O. & Lee, Chien-Chiang, 2022. "Quantile risk spillovers between energy and agricultural commodity markets: Evidence from pre and during COVID-19 outbreak," Energy Economics, Elsevier, vol. 113(C).
    22. Shahbaz, Muhammad & Trabelsi, Nader & Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Jiao, Zhilun, 2021. "Relationship between green investments, energy markets, and stock markets in the aftermath of the global financial crisis," Energy Economics, Elsevier, vol. 104(C).
    23. Jos Sijm & Karsten Neuhoff & Yihsu Chen, 2006. "CO 2 cost pass-through and windfall profits in the power sector," Climate Policy, Taylor & Francis Journals, vol. 6(1), pages 49-72, January.
    24. 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.
    25. Saeed, Tareq & Bouri, Elie & Alsulami, Hamed, 2021. "Extreme return connectedness and its determinants between clean/green and dirty energy investments," Energy Economics, Elsevier, vol. 96(C).
    26. Dorband, Ira Irina & Jakob, Michael & Kalkuhl, Matthias & Steckel, Jan Christoph, 2019. "Poverty and distributional effects of carbon pricing in low- and middle-income countries – A global comparative analysis," World Development, Elsevier, vol. 115(C), pages 246-257.
    27. Li, Jingmiao & Liu, Dehong, 2023. "Carbon price forecasting based on secondary decomposition and feature screening," Energy, Elsevier, vol. 278(PA).
    28. Flora, Maria & Vargiolu, Tiziano, 2020. "Price dynamics in the European Union Emissions Trading System and evaluation of its ability to boost emission-related investment decisions," European Journal of Operational Research, Elsevier, vol. 280(1), pages 383-394.
    29. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Asl, Mahdi Ghaemi & Jalalifar, Saba, 2021. "Financing the green projects: Market efficiency and volatility persistence of green versus conventional bonds, and the comparative effects of health and financial crises," International Review of Financial Analysis, Elsevier, vol. 78(C).
    30. Demiralay, Sercan & Gencer, Hatice Gaye & Bayraci, Selcuk, 2022. "Carbon credit futures as an emerging asset: Hedging, diversification and downside risks," Energy Economics, Elsevier, vol. 113(C).
    31. Chang, Hao-Wen & Chang, Tsangyao & Ling, Yuan Hung & Yang, Yung-Lieh, 2023. "Dynamical linkages between the Brent oil price and stock markets in BRICS using quantile connectedness approach," Finance Research Letters, Elsevier, vol. 54(C).
    32. Millischer, Laurent & Evdokimova, Tatiana & Fernandez, Oscar, 2023. "The carrot and the stock: In search of stock-market incentives for decarbonization," Energy Economics, Elsevier, vol. 120(C).
    33. Lin, Faqin & Li, Xuecao & Jia, Ningyuan & Feng, Fan & Huang, Hai & Huang, Jianxi & Fan, Shenggen & Ciais, Philippe & Song, Xiao Peng, 2023. "The impact of Russia-Ukraine conflict on global food security," LSE Research Online Documents on Economics 117700, London School of Economics and Political Science, LSE Library.
    34. Richhild Moessner, 2025. "Effects of carbon pricing on inflation," Climate Policy, Taylor & Francis Journals, vol. 25(9), pages 1508-1521, October.
    35. Bai, Yiyi & Okullo, Samuel J., 2023. "Drivers and pass-through of the EU ETS price: Evidence from the power sector," Energy Economics, Elsevier, vol. 123(C).
    36. Jan C. Steckel & Ira I. Dorband & Lorenzo Montrone & Hauke Ward & Leonard Missbach & Fabian Hafner & Michael Jakob & Sebastian Renner, 2021. "Distributional impacts of carbon pricing in developing Asia," Nature Sustainability, Nature, vol. 4(11), pages 1005-1014, November.
    37. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    38. Thomas Douenne & Adrien Fabre, 2022. "Yellow Vests, Pessimistic Beliefs, and Carbon Tax Aversion," American Economic Journal: Economic Policy, American Economic Association, vol. 14(1), pages 81-110, February.
    39. Weitzel, Matthias & Vandyck, Toon & Rey Los Santos, Luis & Tamba, Marie & Temursho, Umed & Wojtowicz, Krzysztof, 2023. "A comprehensive socio-economic assessment of EU climate policy pathways," Ecological Economics, Elsevier, vol. 204(PA).
    40. 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.
    41. Hartvig, Áron Dénes & Pap, Áron & Pálos, Péter, 2023. "EU Climate Change News Index: Forecasting EU ETS prices with online news," Finance Research Letters, Elsevier, vol. 54(C).
    42. Nils Ohlendorf & Michael Jakob & Jan Christoph Minx & Carsten Schröder & Jan Christoph Steckel, 2021. "Distributional Impacts of Carbon Pricing: A Meta-Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(1), pages 1-42, January.
    43. Huang, Wenyang & Wang, Huiwen & Qin, Haotong & Wei, Yigang & Chevallier, Julien, 2022. "Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method," Energy Economics, Elsevier, vol. 110(C).
    44. Kejia Yan & Boqiang Lin, 2025. "How Climate Policy Shapes Global Utility Markets: Dynamic Evidence From the EU Carbon Market," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(5), pages 6773-6796, October.
    45. Qin, Jingrui & Cong, Xiaoping & Ma, Di & Rong, Xueyun, 2024. "Dynamic quantile connectedness between oil and stock markets: Theimpactof theinterestrate," Energy Economics, Elsevier, vol. 136(C).
    46. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    47. Baoping Shang, 2023. "The Poverty and Distributional Impacts of Carbon Pricing: Channels and Policy Implications," Review of Environmental Economics and Policy, University of Chicago Press, vol. 17(1), pages 64-85.
    48. Nazlioglu, Saban & Soytas, Ugur, 2012. "Oil price, agricultural commodity prices, and the dollar: A panel cointegration and causality analysis," Energy Economics, Elsevier, vol. 34(4), pages 1098-1104.
    49. Schöller, Vanessa & Ulmer, Clara, 2023. "Can monetized carbon information increase pro-environmental behavior? Experimental evidence," Ecological Economics, Elsevier, vol. 206(C).
    50. Thomas J. Fisher & Colin M. Gallagher, 2012. "New Weighted Portmanteau Statistics for Time Series Goodness of Fit Testing," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(498), pages 777-787, June.
    51. Pan, Di & Zhang, Chen & Zhu, Dandan & Ji, Yuanpu & Cao, Wei, 2022. "A novel method of detecting carbon asset price jump characteristics based on significant information shocks," Finance Research Letters, Elsevier, vol. 47(PA).
    52. Kayani, Umar & Ullah, Mirzat & Aysan, Ahmet Faruk & Nazir, Sidra & Frempong, Josephine, 2024. "Quantile connectedness among digital assets, traditional assets, and renewable energy prices during extreme economic crisis," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    53. Zheng, Yan & Yin, Hua & Zhou, Min & Liu, Wenhua & Wen, Fenghua, 2021. "Impacts of oil shocks on the EU carbon emissions allowances under different market conditions," Energy Economics, Elsevier, vol. 104(C).
    54. Batten, Jonathan A. & Maddox, Grace E. & Young, Martin R., 2021. "Does weather, or energy prices, affect carbon prices?," Energy Economics, Elsevier, vol. 96(C).
    55. Brink, Corjan & Vollebergh, Herman R.J. & van der Werf, Edwin, 2016. "Carbon pricing in the EU: Evaluation of different EU ETS reform options," Energy Policy, Elsevier, vol. 97(C), pages 603-617.
    56. 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).
    57. Wenyang Huang & Huiwen Wang & Haotong Qin & Yigang Wei & Julien Chevallier, 2022. "Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method," Post-Print halshs-04250297, HAL.
    58. Jan Christoph Steckel & Sebastian Renner & Leonard Missbach, 2021. "Distributional Impacts of Carbon Pricing in Low- and Middle-Income Countries," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 22(05), pages 26-32, September.
    59. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
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