IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v239y2025ics0960148124021426.html
   My bibliography  Save this article

Budgeting for bio-resilience: Unraveling the asymmetric impact of bioenergy technology budgets on environmental quality

Author

Listed:
  • Wang, Mingsen
  • Wang, Canghong
  • Ali, Sajid
  • Nazar, Raima
  • Meo, Muhammad Saeed

Abstract

In response to global challenges associated with sustainable energy and environmental preservation, prioritizing budgets for bio-resilience is a key step toward achieving environmental sustainability. This study examines the relationship between bioenergy technology budgets and environmental quality, focusing on how these budgets impact environmental quality in the top 10 countries with the highest allocations for bioenergy research and development: the USA, China, Brazil, Germany, Japan, Canada, Sweden, Finland, Denmark, and the Netherlands. Unlike previous studies that employed panel data techniques to examine the bioenergy technology-environment correlation overlooking the distinct properties of every country, the current investigation applies the Quantile-on-Quantile technique. This innovative method enriches the exactness of current analysis, delivering an all-encompassing worldwide standpoint while providing tailored insights for every specific country. The findings intimate that directing funds towards bioenergy technology promotes a cleaner environment by lowering CO2 emissions at numerous quantile levels across the selected economies. The results reveal unique patterns across countries, emphasizing the need for policymakers to conduct thorough evaluations and implement effective measures in response to changes in bioenergy funding and CO2 emissions. Aligning these investments with the Sustainable Development Goals ensures a comprehensive approach that reduces emissions while advancing economic growth, energy security, and environmental sustainability.

Suggested Citation

  • Wang, Mingsen & Wang, Canghong & Ali, Sajid & Nazar, Raima & Meo, Muhammad Saeed, 2025. "Budgeting for bio-resilience: Unraveling the asymmetric impact of bioenergy technology budgets on environmental quality," Renewable Energy, Elsevier, vol. 239(C).
    • Handle: RePEc:eee:renene:v:239:y:2025:i:c:s0960148124021426
    DOI: 10.1016/j.renene.2024.122074
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124021426
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.122074?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. Farrukh Shahzad & Zeeshan Fareed & Yong Wan & Yihan Wang & Zohaib Zahid & Muhammad Irfan, 2023. "Examining the asymmetric link between clean energy intensity and carbon dioxide emissions: The significance of quantile-on-quantile method," Energy & Environment, , vol. 34(6), pages 1884-1909, September.
    2. Holmatov, B. & Hoekstra, A.Y. & Krol, M.S., 2019. "Land, water and carbon footprints of circular bioenergy production systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 224-235.
    3. Yu, Jinna & Tang, Yuk Ming & Chau, Ka Yin & Nazar, Raima & Ali, Sajid & Iqbal, Wasim, 2022. "Role of solar-based renewable energy in mitigating CO2 emissions: Evidence from quantile-on-quantile estimation," Renewable Energy, Elsevier, vol. 182(C), pages 216-226.
    4. Xiao, Zhijie, 2009. "Quantile cointegrating regression," Journal of Econometrics, Elsevier, vol. 150(2), pages 248-260, June.
    5. Yongrong Xin & Huaizheng Li & Tomiwa Sunday Adebayo & Abraham Ayobamiji Awosusi, 2023. "Asymmetric linkage between biomass energy consumption and ecological footprints in top ten biomass-consuming nations," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 36(3), pages 2147567-214, December.
    6. Sim, Nicholas & Zhou, Hongtao, 2015. "Oil prices, US stock return, and the dependence between their quantiles," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 1-8.
    7. Sharif, Arshian & Mishra, Shekhar & Sinha, Avik & Jiao, Zhilun & Shahbaz, Muhammad & Afshan, Sahar, 2020. "The renewable energy consumption-environmental degradation nexus in Top-10 polluted countries: Fresh insights from quantile-on-quantile regression approach," Renewable Energy, Elsevier, vol. 150(C), pages 670-690.
    8. Nico Bauer & Steven K. Rose & Shinichiro Fujimori & Detlef P. Vuuren & John Weyant & Marshall Wise & Yiyun Cui & Vassilis Daioglou & Matthew J. Gidden & Etsushi Kato & Alban Kitous & Florian Leblanc &, 2020. "Global energy sector emission reductions and bioenergy use: overview of the bioenergy demand phase of the EMF-33 model comparison," Climatic Change, Springer, vol. 163(3), pages 1553-1568, December.
    9. Zafar, Muhammad Wasif & Sinha, Avik & Ahmed, Zahoor & Qin, Quande & Zaidi, Syed Anees Haider, 2021. "Effects of biomass energy consumption on environmental quality: The role of education and technology in Asia-Pacific Economic Cooperation countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    10. Jing Gao & Lei Zhang, 2021. "Does biomass energy consumption mitigate CO2 emissions? The role of economic growth and urbanization: evidence from developing Asia," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 26(1), pages 96-115, January.
    11. Vassilis Daioglou & Steven K. Rose & Nico Bauer & Alban Kitous & Matteo Muratori & Fuminori Sano & Shinichiro Fujimori & Matthew J. Gidden & Etsushi Kato & Kimon Keramidas & David Klein & Florian Lebl, 2020. "Bioenergy technologies in long-run climate change mitigation: results from the EMF-33 study," Climatic Change, Springer, vol. 163(3), pages 1603-1620, December.
    12. Saikkonen, Pentti, 1991. "Asymptotically Efficient Estimation of Cointegration Regressions," Econometric Theory, Cambridge University Press, vol. 7(1), pages 1-21, March.
    13. Wu, Xiao & Zhang, Ziteng & Zhang, Xuan, 2024. "Operating optimization of biomass direct-fired power plant integrated with carbon capture system considering the life cycle economic and CO2 reduction performance," Renewable Energy, Elsevier, vol. 225(C).
    Full references (including those not matched with items on IDEAS)

    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. Huang, Anzhong & Dai, Luote & Ali, Sajid & Adebayo, Tomiwa Sunday, 2024. "From funds to footprints: Unravelling the asymmetric association between nuclear energy technology and environmental quality," Energy, Elsevier, vol. 309(C).
    2. Muhammad Asif Qureshi & Jawaid Ahmed Qureshi & Ammar Ahmed & Shahzad Qaiser & Ramsha Ali & Arshian Sharif, 2020. "The Dynamic Relationship Between Technology Innovation and Human Development in Technologically Advanced Countries: Fresh Insights from Quantiles-on-Quantile Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(2), pages 555-580, November.
    3. Liu, Lei & Rasool, Zeeshan & Ali, Sajid & Wang, Canghong & Nazar, Raima, 2024. "Robots for sustainability: Evaluating ecological footprints in leading AI-driven industrial nations," Technology in Society, Elsevier, vol. 76(C).
    4. Huang, Anzhong & Guo, Meiwen & Dai, Luote & Mirza, Aboubakar & Ali, Sajid, 2024. "Budgeting for a greener future: Asymmetric nexus between nuclear energy technology budgets and CO2 emissions," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    5. Bakhsh, Satar & Zhang, Wei & Ali, Kishwar & Anas, Muhammad, 2024. "Transition towards environmental sustainability through financial inclusion, and digitalization in China: Evidence from novel quantile-on-quantile regression and wavelet coherence approach," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    6. Yu, Jinna & Saydaliev, Hayot Berk & Liu, Zhen & Nazar, Raima & Ali, Sajid, 2022. "The asymmetric nexus of solar energy and environmental quality: Evidence from Top-10 solar energy-consuming countries," Energy, Elsevier, vol. 247(C).
    7. Chang, Lei & Taghizadeh-Hesary, Farhad & Chen, Huangen & Mohsin, Muhammad, 2022. "Do green bonds have environmental benefits?," Energy Economics, Elsevier, vol. 115(C).
    8. Cheng, Ya & Sinha, Avik & Ghosh, Vinit & Sengupta, Tuhin & Luo, Huawei, 2021. "Carbon Tax and Energy Innovation at Crossroads of Carbon Neutrality: Designing a Sustainable Decarbonization Policy," MPRA Paper 108185, University Library of Munich, Germany, revised 2021.
    9. Guo, Yawei & Li, Jianping & Li, Yehua & You, Wanhai, 2021. "The roles of political risk and crude oil in stock market based on quantile cointegration approach: A comparative study in China and US," Energy Economics, Elsevier, vol. 97(C).
    10. Wang, Mingsen & Zhong, Daojun & Ali, Sajid & Meo, Muhammad Saeed, 2024. "The windfall of green finance: Advancing environmental sustainability through wind energy," Renewable Energy, Elsevier, vol. 227(C).
    11. Oluwatoyin Abidemi Somoye & Mehdi Seraj & Huseyin Ozdeser & Muhammad Mar’I, 2023. "Quantile relationship between financial development, income, price, CO2 emissions and renewable energy consumption: evidence from Nigeria," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-25, December.
    12. Jiang, Wei & Hu, Yanhui & Zhao, Xiangyu, 2025. "The impact of artificial intelligence on carbon market in China: Evidence from quantile-on-quantile regression approach," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    13. Mo, Bin & Nie, He & Zhao, Rongjie, 2024. "Dynamic nonlinear effects of geopolitical risks on commodities: Fresh evidence from quantile methods," Energy, Elsevier, vol. 288(C).
    14. Xile Hui & Zeeshan Rasool & Sajid Ali & Shaukat Hussain Bhatti, 2024. "Asymmetric Impact of Pandemic Uncertainty on Drug Crimes: A Comparative Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 173(3), pages 741-763, July.
    15. Wan, Lihong & Nazar, Raima & Ali, Sajid & Anser, Muhammad Khalid, 2024. "Environmental consequences of trade-induced uncertainty: Evidence from econometric estimation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    16. Song, Aifeng & Rasool, Zeeshan & Nazar, Raima & Anser, Muhammad Khalid, 2024. "Towards a greener future: How green technology innovation and energy efficiency are transforming sustainability," Energy, Elsevier, vol. 290(C).
    17. Troster, Victor & Shahbaz, Muhammad & Uddin, Gazi Salah, 2018. "Renewable energy, oil prices, and economic activity: A Granger-causality in quantiles analysis," Energy Economics, Elsevier, vol. 70(C), pages 440-452.
    18. Tomiwa Sunday Adebayo & Seyi Saint Akadiri & Usenobong Akpan & Bisola Aladenika, 2023. "Asymmetric effect of financial globalization on carbon emissions in G7 countries: Fresh insight from quantile-on-quantile regression," Energy & Environment, , vol. 34(5), pages 1285-1304, August.
    19. Mishra, Shekhar & Sharif, Arshian & Khuntia, Sashikanta & Meo, Muhammad Saeed & Rehman Khan, Syed Abdul, 2019. "Does oil prices impede Islamic stock indices? Fresh insights from wavelet-based quantile-on-quantile approach," Resources Policy, Elsevier, vol. 62(C), pages 292-304.
    20. Wu, Jie & Rasool, Zeeshan & Ali, Sajid & Nazar, Raima, 2024. "Between policy swings and financial shockwaves: Asymmetric impact of economic policy uncertainty on financial stability in high-volatility nations," Socio-Economic Planning Sciences, Elsevier, vol. 95(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:renene:v:239:y:2025:i:c:s0960148124021426. 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.journals.elsevier.com/renewable-energy .

    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.