Bitcoin price and Chinese green bonds: evidence from the QARDL method

    Kai-Hua Wang Affiliation
    ; Cui-Ping Wen Affiliation
    ; Ze-Zhong Zhang Affiliation
    ; Meng Qin Affiliation
    ; Tsangyao Chang Affiliation


This article primally explores the short-term fluctuation and long-term implications of the international Bitcoin price (BP) on the Chinese green bond (GB) market, within the sample period of 2014:M10–2023:M07. Bitcoin is the most important cryptocurrency and has a carbon-intensive feature, and its price suffers from great volatility and is closely related to the green finance market. Meanwhile, although China is the largest bitcoin mining state, it is pursuing a dual carbon target, which promotes its green bond market’s development. Thus, it is valuable to investigate the influence of BP on GBs in China. Based on the quantile autoregressive distributed lag approach, this paper indicates that the positive and negative impacts of BP on the GB market are significant in the long-term but not apparent in the short-term. These results emphasize the importance for market participants to obtain a better understanding of how BP affects GB under various market circumstances. Implementing specific policies, such as regulatory mechanisms for Bitcoin trade, market-oriented reform for the bond market, and information disclosure, can alleviate shocks from BP and accelerate the development of the GB market.

First published online 20 May 2024

Keyword : bitcoin price, green bond index, quantile auto-regressive distributed lag model

How to Cite
Wang, K.-H., Wen, C.-P., Zhang, Z.-Z., Qin, M., & Chang, T. (2024). Bitcoin price and Chinese green bonds: evidence from the QARDL method. Technological and Economic Development of Economy, 30(5), 1306–1329.
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Abbass, K., Sharif, A., Song, H., Ali, M. T., Khan, F., & Amin, N. (2022). Do geopolitical oil price risk, global macroeconomic fundamentals relate Islamic and conventional stock market? Empirical evidence from QARDL approach. Resources Policy, 77, Article 102730.

Ahmed, M. I., Farah, Q. F., & Kishan, R. (2023). Oil price uncertainty and unemployment dynamics: Nonlinearities matter. Energy Economics, 125, Article 106806.

Alzakri, S. (2023). Does financial stability inspire environmental innovation? Empirical insights from China. Journal of Cleaner Production, 416, Article 137896.

Baruník, J., & Křehlík, T. (2018). Measuring the frequency dynamics of financial connectedness and systemic risk. Journal of Financial Econometrics, 16(2), 271–296.

Bejan, C. A., Bucerzan, D., & Craciun, M. D. (2023). Bitcoin price evolution versus energy consumption; trend analysis. Applied Economics, 55(13), 1497–1511.

Blasco, N., & Corredor, P. (2022). If the bitcoin market grows, size matters. Applied Economics Letters, 29(11), 983–987.

Bruno, A., Weber, P., & Yates, A. (2023). Can Bitcoin mining increase renewable electricity capacity? Resource and Energy Economics, 74, Article 101376.

Che, M., Zhu, Z., & Li, Y. (2023). Geopolitical risk and economic policy uncertainty: Different roles in China’s financial cycle. International Review of Financial Analysis, 90, Article 102867.

Cho, J. S., Kim, T, & Shin, Y. (2015). Quantile cointegration in the autoregressive distributed-lag modeling framework. Journal of Econometrics, 188(1), 281–300.

Ciaian, P., Rajcaniova, M., & Kancs, D. (2016). The economics of Bitcoin price formation. Applied Economics, 48(19), 1799–1815.

Corbet, S., & Yarovaya, L. (2020). The environmental effects of cryptocurrencies. In S. Corbert, A. Urquhart, & L. Yarovaya (Eds.), Cryptocurrency and blockchain technology (pp. 149–184). De Gruyter.

Dickey, D. A., & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4), 1057–1072.

Du, G. (2023). Nexus between green finance, renewable energy, and carbon intensity in selected Asian countries. Journal of Cleaner Production, 405, Article 136822.

Duan, K., Zhao, Y., Wang, Z., & Chang, Y. (2023). Asymmetric spillover from Bitcoin to green and traditional assets: A comparison with gold. International Review of Economics & Finance, 88, 1397–1417.

Erdogan, S., Ahmed, M. Y., & Sarkodie, S. A. (2022). Analyzing asymmetric effects of cryptocurrency demand on environmental sustainability. Environmental Science and Pollution Research, 29, 31723–31733.

Fan, R., Xiong, X., Li, Y., & Gao, Y. (2023). Do green bonds affect stock returns and corporate environmental performance? Evidence from China. Economics Letters, 232, Article 111322.

Godil, D. I., Sarwat, S., Sharif, A., & Jermsittiparsert, K. (2020). How oil prices, gold prices, uncertainty and risk impact Islamic and conventional stocks? Empirical evidence from QARDL technique. Resources Policy, 66, Article 101638.

Goodell, J. W., Corbet, S., Yadav, M. P., Kumar, S., Sharma, S., & Malik, K. (2022). Time and frequency connectedness of green equity indices: Uncovering a socially important link to Bitcoin. International Review of Financial Analysis, 84, Article 102379.

Goodkind, A. L., Berrens, R. P., & Jones, B. A. (2022). Estimating the climate and health damages of Bitcoin mining in the US: Is Bitcoin underwater? Applied Economics Letters, 31(6), 555–560.

Guo, C. Q., Wang, X., Cao, D. D., & Hou, Y. G. (2022). The impact of green finance on carbon emission – Analysis based on mediation effect and spatial effect. Frontiers in Environmental Science, 10, Article 844988.

Guo, Q., Dong, Y., Feng, B., & Zhang, H. (2023). Can green finance development promote total-factor energy efficiency? Empirical evidence from China based on a spatial Durbin model. Energy Policy, 177, Article 113523.

He, L., Liu, R., Zhong, Z., Wang, D., & Xia, Y. (2019). Can green financial development promote renewable energy investment efficiency? A consideration of bank credit. Renewable Energy, 143, 974–984.

Hoang, D. P., Chu, L. K., & To, T. T. (2023). How do economic policy uncertainty, geopolitical risk, and natural resources rents affect economic complexity? Evidence from advanced and emerging market economies. Resources Policy, 85, Article 103856.

Hong, H., & Zhang, C. (2023). Bitcoin trading, economic growth, energy use, and CO2 emissions: An advanced panel study of emerging market economies. International Review of Economics & Finance, 87, 519–531.

Hoque, M. E., Soo-Wah, L., Tiwari, A. K., & Akhter, T. (2023). Time and frequency domain connectedness and spillover among categorical and regional financial stress, gold and bitcoin market. Resources Policy, 85, Article 103786.

Howson, P., & De Vries, A. (2022). Preying on the poor? Opportunities and challenges for tackling the social and environmental threats of cryptocurrencies for vulnerable and low-income communities. Energy Research & Social Science, 84, Article 102394.

Huang, J., An, L., Peng, W., & Guo, L. (2023a). Identifying the role of green financial development played in carbon intensity: Evidence from China. Journal of Cleaner Production, 408, Article 136943.

Huang, Y., Duan, K., & Urquhart, A. (2023b). Time-varying dependence between Bitcoin and green financial assets: A comparison between pre- and post-COVID-19 periods. Journal of International Financial Markets, Institutions and Money, 82, Article 101687.

Jiang, S., Li, Y., Lu, Q., Hong, Y., Guan, D., Xiong, Y., & Wang, S. (2021). Policy assessments for the carbon emission flows and sustainability of Bitcoin blockchain operation in China. Nature Communications, 12, Article 1938, 1–10.

Khalfaoui, R., Jabeur, S. B., & Dogan, B. (2022). The spillover effects and connectedness among green commodities, Bitcoins, and US stock markets: Evidence from the quantile VAR network. Journal of Environmental Management, 306, Article 114493.

Khalfaoui, R., Mefteh-Wali, S., Dogan, B., & Ghosh, S. (2023). Extreme spillover effect of COVID-19 pandemic-related news and cryptocurrencies on green bond markets: A quantile connectedness analysis. International Review of Financial Analysis, 86, Article 102496.

Koenker, R., & Xiao, Z. (2006). Quantile autoregression. Journal of the American Statistical Association, 101(475), 980–990.

Kristoufek, L. (2020). Bitcoin and its mining on the equilibrium path. Energy Economics, 85, Article 104588.

Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics, 54(1–3), 159–178.

Le, T. L., Abakah. E. J. A., & Tiwari, A. K. (2021). Time and frequency domain connectedness and spill-over among fintech, green bonds and cryptocurrencies in the age of the fourth industrial revolution. Technological Forecasting & Social Change, 162, Article 120382.

Lee, Y., Vo, A., & Chapman, T. A. (2022). Examining the maturity of bitcoin price through a catastrophic event: The case of structural break analysis during the COVID-19 pandemic. Finance Research Letters, 49, Article 103165.

Li, H., Huang, X., Zhou, D., & Guo, L. (2023a). The dynamic linkages among crude oil price, climate change and carbon price in China. Energy Strategy Reviews, 48, Article 101123.

Li, J., Liang, H., & Ni, L. (2023b). Quantile VAR network evidence for spillover effects and connectivity between China’s stock markets, green commodities, and Bitcoin. Environmental Science and Pollution Research, 30, 82353–82371.

Liu, F., Wang, L., Kong, D., Shi, C., Feng, Z., Zhou, J., Liu, J., & Li, Z. (2023). Is there more to bitcoin mining than carbon emissions? Heliyon, 9(4), Article e15099.

Long, S., Lucey, B., Zhang, D., & Zhang, Z. (2023). Negative elements of cryptocurrencies: Exploring the drivers of Bitcoin carbon footprints. Finance Research Letters, 58, Article 104031.

Lu, C., Yang, M., & Xia, X. (2023). Economic policy uncertainty and default risk: Evidence from China. Economic Analysis and Policy, 79, 821–836.

Mahmood, M. T., Shahab, S., & Shahbaz, M. (2021). The relevance of economic freedom for energy, environment, and economic growth in Asia-Pacific region. Environmental Science and Pollution Research, 29, 5396–5405.

Maiti, M., Vukovic, D. B., & Frömmel, M. (2023). Quantifying the asymmetric information flow between Bitcoin prices and electricity consumption. Finance Research Letters, 57, Article 104163.

Malfuzi, A., Mehr, A. S., Rosen, M. A., Alharthi, M., & Kurilova, A. A. (2020). Economic viability of bitcoin mining using a renewable-based SOFC power system to supply the electrical power demand. Energy, 203, Article 117843.

Mamun, M. A., Boubaker, S., & Nguyen, D. K. (2022). Green finance and decarbonization: Evidence from around the world. Finance Research Letters, 46, Article 102807.

Man, Y., Zhang, S., & Liu, J. (2023). Dynamic connectedness, asymmetric risk spillovers, and hedging performance of China’s green bonds. Finance Research Letters, 56, Article 104083.

Mensi, W., Shahzad, S. J. H., Hammoudeh, S., Hkiri, B., & Yahyaee, K. H. A. (2019). Long-run relationships between US financial credit markets and risk factors: Evidence from the quantile ARDL approach. Finance Research Letters, 29, 101–110.

Mohsin, K. (2021). Cryptocurrency & its impact on environment. International Journal of Cryptocurrency Research, 1(1), 1–4.

Mohsin, M., Naseem, S., Zia-ur-Rehman, M., Baig, S. A., & Salamat, S. (2020). The crypto-trade volume, GDP, energy use, and environmental degradation sustainability: An analysis of the top 20 crypto-trader countries. International Journal of Finance & Economics, 28(1), 651–667.

Mora, C., Rollins, R. L., Taladay, K., Kantar, M. B., Chock, M., Shimada, M., & Franklin, E. C. (2018). Bitcoin emissions alone could push global warming above 2°C. Nature Climate Change, 8, 931–933.

Naeem, M. A., & Karim, S. (2021). Tail dependence between bitcoin and green financial assets. Economics Letters, 208, Article 110068.

Numan, U., Ma, B., Sadiq, M., Bedru, H. D., & Jiang, C. (2023). The role of green finance in mitigating environmental degradation: Empirical evidence and policy implications from complex economies. Journal of Cleaner Production, 400, Article 136693.

Pagone, E., Hart, A., & Salonitis, K. (2023). Carbon footprint comparison of bitcoin and conventional currencies in a life cycle analysis perspective. Procedia CIRP, 116, 468–473.

Pang, D., Li, K., Wang, G., & Ajaz, T. (2022). The asymmetric effect of green investment, natural resources, and growth on financial inclusion in China. Resources Policy, 78, Article 102885.

Pham, L., Huynh, T. L. D., & Hanif, W. (2021). Cryptocurrency, green and fossil fuel investments. SSRN,

Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346.

Qian, S., & Yu, W. (2023). Green finance and environmental, social, and governance performance. International Review of Economics & Finance, 89, 1185–1202.

Qin, M., Wu, T., Ma, X., Albu, L. L., & Umar, M. (2023). Are energy consumption and carbon emission caused by Bitcoin? A novel time-varying technique. Economic Analysis and Policy, 80, 109–120.

Ran, C., & Zhang, Y. (2023). The driving force of carbon emissions reduction in China: Does green finance work. Journal of Cleaner Production, 421, Article 138502.

Razmi, S. F., & Razmi, S. M. J. (2023). The role of stock markets in the US, Europe, and China on oil prices before and after the COVID-19 announcement. Resources Policy, 81, Article 103386.

Ren, X., An, Y., & Jin, C. (2023). The asymmetric effect of geopolitical risk on China’s crude oil prices: New evidence from a QARDL approach. Finance Research Letters, 53, Article 103637.

Ren, X., Shao, Q., Ph.D., & Zhong, R. (2020). Nexus between green finance, non-fossil energy use, and carbon intensity: Empirical evidence from China based on a vector error correction model. Journal of Cleaner Production, 277, Article 122844.

Sadiq, M., Chau, K. Y., Ha, N. T. T., Phan, T. T. H., Ngo, T. Q., & Huy, P. Q. (2023). The impact of green finance, eco-innovation, renewable energy and carbon taxes on CO2 emissions in BRICS countries: Evidence from CS ARDL estimation. Geoscience Frontiers, 11, Article 101689.

Salisu, A., Ndako, U. B., & Vo, X. V. (2023). Oil price and the Bitcoin market. Resources Policy, 82, Article 103437.

Sarker, P. K., Lau, C. K. M., & Pradhan, A. K. (2023). Asymmetric effects of climate policy uncertainty and energy prices on bitcoin prices. Innovation and Green Development, 2(2), Article 100048.

Sarkodie, S. A., Ahmed, M. Y., & Leirvik, T. (2022). Trade volume affects bitcoin energy consumption and carbon footprint. Finance Research Letters, 48, Article 10297.

Sharma, G. D., Shahbaz, M., Singh, S., Chopra, R., & Cifuentes-Faura, J. (2023). Investigating the nexus between green economy, sustainability, bitcoin and oil prices: Contextual evidence from the United States. Resources Policy, 80, Article 103168.

Sinha, A., Ghosh, V., Hussain, N., Nguyen, D. K., & Das, N. (2023). Green financing of renewable energy generation: Capturing the role of exogenous moderation for ensuring sustainable development. Energy Economics, 126, Article 107021.

Song, M., Xie, Q., & Shen, Z. (2021). Impact of green credit on high-efficiency utilization of energy in China considering environmental constraints. Energy Policy, 153, Article 112267.

Su, X., Guo, D., & Dai, L. (2023). Do green bond and green stock markets boom and bust together? Evidence from China. International Review of Financial Analysis, 89, Article 102744.

Symitsi, E., & Chalvatzis, K. J. (2018). Return, volatility and shock spillovers of Bitcoin with energy and technology companies. Economics Letters, 170, 127–130.

Tariq, A., & Hassan, A. (2023). Role of green finance, environmental regulations, and economic development in the transition towards a sustainable environment. Journal of Cleaner Production, 413, Article 137425.

Truby, J., Brown, R. D., Dahdal, A., & Ibrahim, I. (2022). Blockchain, climate damage, and death: Policy interventions to reduce the carbon emissions, mortality, and net-zero implications of non-fungible tokens and Bitcoin. Energy Research & Social Science, 88, Article 102499.

Udeagha, M. C., & Ngepah, N. (2023). The drivers of environmental sustainability in BRICS economies: Do green finance and fintech matter? World Development Sustainability, 3, Article 100096.

Umar, M., & Safi, A. (2023). Do green finance and innovation matter for environmental protection? A case of OECD economies. Energy Economics, 119, Article 106560.

Vries, A. (2019). Renewable energy will not solve bitcoin’s sustainability problem. Joule, 3(4), 893–898.

Wang, J., Tian, J., Kang, Y., & Guo, K. (2023a). Can green finance development abate carbon emissions: Evidence from China. International Review of Economics & Finance, 88, 73–91.

Wang, C., Zheng, C., Hu, C., Luo, Y., & Liang, M. (2023b). Resources sustainability and energy transition in China: Asymmetric role of digital trade and policy uncertainty using QARDL. Resources Policy, 85, Article 103845.

Wang, K. H., Wang, Z. S., Yunis, M., & Kchouri, B. (2023c). Spillovers and connectedness among climate policy uncertainty, energy, green bond and carbon markets: A global perspective. Energy Economics, 128, Article 107170.

Wang, F., & Liao, H. (2022). Unexpected economic growth and oil price shocks. Energy Economics, 116, Article 106430.

Wang, Q., & Zhang, F. (2021). What does the China’s economic recovery after COVID-19 pandemic mean for the economic growth and energy consumption of other countries? Journal of Cleaner Production, 295, Article 126265.

Wang, G., Tang, Y., Xie, C., & Chen, S. (2019). Is bitcoin a safe haven or a hedging asset? Evidence from China. Journal of Management Science and Engineering, 4(3), 173–188.

Wu, X., & Ding, S. (2023). The impact of the Bitcoin price on carbon neutrality: Evidence from futures markets. Finance Research Letters, 56, Article 104128.

Wu, C., Xu, C., Zhao, Q., & Zhu, J. (2023). Research on financing strategy under the integration of green supply chain and blockchain technology. Computers & Industrial Engineering, 184, Article 109598.

Xia, Y., Shi, Z., Du, X., Niu, M., & Cai, R. (2023). Can green assets hedge against economic policy uncertainty? Evidence from China with portfolio implications. Finance Research Letters, 55, Article 103874.

Xiang, S., & Cao, Y. (2023). Green finance and natural resources commodities prices: Evidence from COVID-19 period. Resources Policy, 80, Article 103200.

Xu, X., & Li, J. (2023). Can green bonds reduce the carbon emissions of cities in China? Economics Letters, 226, Article 111099.

Zhang, W., Hong, M., Li, J., & Li, F. (2021). An examination of green credit promoting carbon dioxide emissions reduction: A provincial panel analysis of China. Sustainability, 13(13), Article 7148.

Zhang, Y., Huang, Y., & Wang, X. (2023). Impact of economic policy uncertainty, oil prices, and technological innovations on natural resources footprint in BRICS economies. Resources Policy, 86, Article 104082.

Zhao, J., & Zhang, T. (2023). Exploring the time-varying dependence between Bitcoin and the global stock market: Evidence from a TVP-VAR approach. Finance Research Letters, 58, Article 104342.

Zhao, S., He, X., & Faxritdinovna, K. U. (2023). Does industrial structure changes matter in renewable energy development? Mediating role of green finance development. Renewable Energy, 214, 350–358.

Zheng, J., Jiang, Y., Cui, Y., & Shen, Y. (2023). Green bond issuance and corporate ESG performance: Steps toward green and low-carbon development. Research in International Business and Finance, 66, Article 102007.

Zhu, L., Li, H., & Zheng, D. (2020b). Institutional industry herding in China. The Chinese Economy, 53(3), 246–264.

Zhu, N., Bu, Y., Jin, M., & Mbroh, N. (2020a). Green financial behavior and green development strategy of Chinese power companies in the context of carbon tax. Journal of Cleaner Production, 245, Article 118908.

Zivot, E., & Andrews, D. W. K. (2012). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 20(1), 25–44.