IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v191y2024ics1364032123009644.html
   My bibliography  Save this article

Environmental consequences of trade-induced uncertainty: Evidence from econometric estimation

Author

Listed:
  • Wan, Lihong
  • Nazar, Raima
  • Ali, Sajid
  • Anser, Muhammad Khalid

Abstract

Trade uncertainty reverberates through financial markets and leaves an indelible mark on environmental quality, compelling us to address the intricate interaction between trade policies and ecological sustainability. The priority purpose of our research is to analyze how trade uncertainty affects the environmental quality in the top ten polluted nations (Indonesia, Russia, Japan, Brazil, China, Germany, USA, France, India, and Mexico). While previous analyses have primarily trusted panel data procedures to assess the attachment between trade uncertainty and environmental quality, they have often failed to consider how this relationship varies across different countries. In contrast, the current study takes a novel approach by employing the 'Quantile-on-Quantile' method to evaluate this correlation separately for each country. This innovative method allows for a more accurate analysis, providing a comprehensive worldwide view and tailored insights for each nation. The results reveal a significant improvement in environmental quality resulting from trade uncertainty across different quantile intervals. Additionally, the findings of this study underscore the diversity in the connections between these factors among various nations. These outcomes underscore the need for policymakers to conduct comprehensive evaluations and implement effective strategies addressing trade uncertainty and environmental quality.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:rensus:v:191:y:2024:i:c:s1364032123009644
    DOI: 10.1016/j.rser.2023.114106
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032123009644
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2023.114106?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. Hongguang Sui & Xijie Li & Ali Raza & Shihua Zhang, 2022. "Impact of trade policy uncertainty on export products quality: new evidence by considering role of social capital," Journal of Applied Economics, Taylor & Francis Journals, vol. 25(1), pages 997-1024, December.
    2. Khan, Irfan & Hou, Fujun & Le, Hoang Phong & Ali, Syed Ahtsham, 2021. "Do natural resources, urbanization, and value-adding manufacturing affect environmental quality? Evidence from the top ten manufacturing countries," Resources Policy, Elsevier, vol. 72(C).
    3. Hites Ahir & Nicholas Bloom & Davide Furceri, 2022. "The world uncertainty index," POID Working Papers 031, Centre for Economic Performance, LSE.
    4. Xiao, Zhijie, 2009. "Quantile cointegrating regression," Journal of Econometrics, Elsevier, vol. 150(2), pages 248-260, June.
    5. Ozkan, Oktay & Haruna, Roselyn Afor & ALOLA, Andrew Adewale & Ghardallou, Wafa & Usman, Ojonugwa, 2023. "Investigating the nexus between economic complexity and energy-related environmental risks in the USA: Empirical evidence from a novel multivariate quantile-on-quantile regression," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 382-392.
    6. Irfan Khan & Fujun Hou & Abdulrasheed Zakari & Vincent Tawiah & Syed Ahtsham Ali, 2022. "Energy use and urbanization as determinants of China’s environmental quality: prospects of the Paris climate agreement," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 65(13), pages 2363-2386, October.
    7. Song, Kaiyi & Dai, Wei & Bian, Yuanchao, 2023. "Trade policy uncertainty and environmental performance of Chinese enterprises," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 73-85.
    8. 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.
    9. Saikkonen, Pentti, 1991. "Asymptotically Efficient Estimation of Cointegration Regressions," Econometric Theory, Cambridge University Press, vol. 7(1), pages 1-21, March.
    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. 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).
    4. 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).
    5. 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).
    6. 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.
    7. 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).
    8. 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).
    9. 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.
    10. 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.
    11. 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).
    12. 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.
    13. 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).
    14. Chang, Bisharat Hussain & Sharif, Arshian & Aman, Ameenullah & Suki, Norazah Mohd & Salman, Asma & Khan, Syed Abdul Rehman, 2020. "The asymmetric effects of oil price on sectoral Islamic stocks: New evidence from quantile-on-quantile regression approach," Resources Policy, Elsevier, vol. 65(C).
    15. Sinha, Avik & Mishra, Shekhar & Sharif, Arshian & Yarovaya, Larisa, 2021. "Does Green Financing help to improve the Environmental & Social Responsibility? Designing SDG framework through Advanced Quantile modelling," MPRA Paper 108150, University Library of Munich, Germany, revised 2021.
    16. Hashmi, Shabir Mohsin & Chang, Bisharat Hussain & Rong, Li, 2021. "Asymmetric effect of COVID-19 pandemic on E7 stock indices: Evidence from quantile-on-quantile regression approach," Research in International Business and Finance, Elsevier, vol. 58(C).
    17. Ma, Juan & Zhang, Jubao & Ali, Sajid & Nazar, Raima & Anser, Muhammad Khalid, 2024. "Strategic socioeconomic planning to address ecological footprints in an uncertain economic landscape," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    18. 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.
    19. Muhammad Umar & Abraham Ayobamiji Awosusi & Oluwatayomi Rereloluwa Adegboye & Opeoluwa Seun Ojekemi, 2024. "Geothermal energy and carbon emissions nexus in leading geothermal-consuming nations: Evidence from nonparametric analysis," Energy & Environment, , vol. 35(5), pages 2726-2752, August.
    20. Christou, Christina & Gupta, Rangan & Nyakabawo, Wendy & Wohar, Mark E., 2018. "Do house prices hedge inflation in the US? A quantile cointegration approach," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 15-26.

    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:rensus:v:191:y:2024:i:c:s1364032123009644. 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/wps/find/journaldescription.cws_home/600126/description#description .

    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.