IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v52y2023ics1544612322007425.html
   My bibliography  Save this article

The importance of trade policy uncertainty to energy consumption in a changing world

Author

Listed:
  • Xie, Yutang
  • Cao, Yujia
  • Li, Xiaotao

Abstract

For detecting the impact of trade policy uncertainty (TPU) on energy consumption, we conduct this research by focusing on three types of US energy consumption, including residential, commercial, and industrial sectors. On average, we find that TPU acts on the negative shocks of residential and commercial sectors. Next, from a dynamic perspective, we reveal that the commercial sector could respond to TPU in the short-long term. However, the asymmetric investigation further shows that TPU can impact the declined variations of residential and commercial consumption in the short and long runs while industrial sectors may not be easily affected by TPU.

Suggested Citation

  • Xie, Yutang & Cao, Yujia & Li, Xiaotao, 2023. "The importance of trade policy uncertainty to energy consumption in a changing world," Finance Research Letters, Elsevier, vol. 52(C).
    • Handle: RePEc:eee:finlet:v:52:y:2023:i:c:s1544612322007425
    DOI: 10.1016/j.frl.2022.103566
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612322007425
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2022.103566?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. Mallika Saha & Kumar Debasis Dutta, 2022. "Does governance quality matter in the nexus of inclusive finance and stability?," China Finance Review International, Emerald Group Publishing Limited, vol. 13(1), pages 121-139, January.
    2. Topcu, Mert & Gulal, Omer Serkan, 2020. "The impact of COVID-19 on emerging stock markets," Finance Research Letters, Elsevier, vol. 36(C).
    3. Lee, Chien-Chiang & Chang, Chun-Ping, 2005. "Structural breaks, energy consumption, and economic growth revisited: Evidence from Taiwan," Energy Economics, Elsevier, vol. 27(6), pages 857-872, November.
    4. Taicir Mezghani & Mouna Boujelbène & Mariam Elbayar, 2021. "Impact of COVID‐19 pandemic on risk transmission between googling investor’s sentiment, the Chinese stock and bond markets," China Finance Review International, Emerald Group Publishing Limited, vol. 11(3), pages 322-348, July.
    5. He, Feng & Wang, Ziwei & Yin, Libo, 2020. "Asymmetric volatility spillovers between international economic policy uncertainty and the U.S. stock market," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    6. Kyle Handley & Nuno Limão, 2018. "Policy Uncertainty, Trade, and Welfare: Theory and Evidence for China and the United States," World Scientific Book Chapters, in: Policy Externalities and International Trade Agreements, chapter 5, pages 123-175, World Scientific Publishing Co. Pte. Ltd..
    7. Kyophilavong, Phouphet & Shahbaz, Muhammad & Anwar, Sabeen & Masood, Sameen, 2015. "The energy-growth nexus in Thailand: Does trade openness boost up energy consumption?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 265-274.
    8. Fang, Yi & Shao, Zhiquan, 2022. "The Russia-Ukraine conflict and volatility risk of commodity markets," Finance Research Letters, Elsevier, vol. 50(C).
    9. Chortane, Sana Gaied & Pandey, Dharen Kumar, 2022. "Does the Russia-Ukraine war lead to currency asymmetries? A US dollar tale," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    10. Dehghan Shabani, Zahra & Shahnazi, Rouhollah, 2019. "Energy consumption, carbon dioxide emissions, information and communications technology, and gross domestic product in Iranian economic sectors: A panel causality analysis," Energy, Elsevier, vol. 169(C), pages 1064-1078.
    11. En-Ze Wang & Chien-Chiang Lee, 2022. "The Dynamic Correlation between China’s Policy Uncertainty and the Crude Oil Market: A Time-varying Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(3), pages 692-709, February.
    12. Hong, Yanran & Xu, Pengfei & Wang, Lu & Pan, Zhigang, 2022. "Relationship between the news-based categorical economic policy uncertainty and US GDP: A mixed-frequency Granger-causality analysis," Finance Research Letters, Elsevier, vol. 48(C).
    13. Shahbaz, Muhammad & Hye, Qazi Muhammad Adnan & Tiwari, Aviral Kumar & Leitão, Nuno Carlos, 2013. "Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 109-121.
    14. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    15. Jian Chu & Junxiong Fang, 2020. "Economic policy uncertainty and firms' labor investment decision," China Finance Review International, Emerald Group Publishing Limited, vol. 11(1), pages 73-91, June.
    16. Chen, Bo & Yu, Miaojie & Yu, Zhihao, 2017. "Measured skill premia and input trade liberalization: Evidence from Chinese firms," Journal of International Economics, Elsevier, vol. 109(C), pages 31-42.
    17. Saygin Sahinoz & Evren Erdogan Cosar, 2018. "Economic policy uncertainty and economic activity in Turkey," Applied Economics Letters, Taylor & Francis Journals, vol. 25(21), pages 1517-1520, December.
    18. Abdulnasser Hatemi-J, 2012. "Asymmetric causality tests with an application," Empirical Economics, Springer, vol. 43(1), pages 447-456, August.
    19. Chao Liang & Feng Ma & Lu Wang & Qing Zeng, 2021. "The information content of uncertainty indices for natural gas futures volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1310-1324, November.
    20. Hong, Yanran & Wang, Lu & Ye, Xiaoqing & Zhang, Yaojie, 2022. "Dynamic asymmetric impact of equity market uncertainty on energy markets: A time-varying causality analysis," Renewable Energy, Elsevier, vol. 196(C), pages 535-546.
    21. Li, Hongbing & Zheng, Qingbiao & Zhang, Bingbing & Sun, Chuanwang, 2021. "Trade policy uncertainty and improvement in energy efficiency: Empirical evidence from prefecture-level cities in China," Energy Economics, Elsevier, vol. 104(C).
    22. Bahmani-Oskooee, Mohsen & Chang, Tsangyao & Ranjbar, Omid, 2016. "Asymmetric causality using frequency domain and time-frequency domain (wavelet) approaches," Economic Modelling, Elsevier, vol. 56(C), pages 66-78.
    23. Umar, Zaghum & Polat, Onur & Choi, Sun-Yong & Teplova, Tamara, 2022. "The impact of the Russia-Ukraine conflict on the connectedness of financial markets," Finance Research Letters, Elsevier, vol. 48(C).
    24. Chao Liang & Yu Wei & Xiafei Li & Xuhui Zhang & Yifeng Zhang, 2020. "Uncertainty and crude oil market volatility: new evidence," Applied Economics, Taylor & Francis Journals, vol. 52(27), pages 2945-2959, May.
    25. Shakil Quayes & A. Jamal, 2008. "Does inflation affect stock prices?," Applied Economics Letters, Taylor & Francis Journals, vol. 15(10), pages 767-769.
    26. Dimic, Nebojsa & Orlov, Vitaly & Piljak, Vanja, 2015. "The political risk factor in emerging, frontier, and developed stock markets," Finance Research Letters, Elsevier, vol. 15(C), pages 239-245.
    27. Thomas C. Chiang, 2021. "Geopolitical risk, economic policy uncertainty and asset returns in Chinese financial markets," China Finance Review International, Emerald Group Publishing Limited, vol. 11(4), pages 474-501, March.
    28. Ghani, Gairuzazmi M., 2012. "Does trade liberalization effect energy consumption?," Energy Policy, Elsevier, vol. 43(C), pages 285-290.
    29. Li, Xiafei & Liang, Chao & Chen, Zhonglu & Umar, Muhammad, 2022. "Forecasting crude oil volatility with uncertainty indicators: New evidence," Energy Economics, Elsevier, vol. 108(C).
    30. Usman, Ojonugwa & Alola, Andrew Adewale & Sarkodie, Samuel Asumadu, 2020. "Assessment of the role of renewable energy consumption and trade policy on environmental degradation using innovation accounting: Evidence from the US," Renewable Energy, Elsevier, vol. 150(C), pages 266-277.
    31. Liang, Chao & Umar, Muhammad & Ma, Feng & Huynh, Toan L.D., 2022. "Climate policy uncertainty and world renewable energy index volatility forecasting," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    32. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Md. Qamruzzaman, 2024. "Clarifying the Nexus between Trade Policy Uncertainty, Economic Policy Uncertainty, FDI and Renewable Energy Demand," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 367-382, March.
    2. Zhang, Jiaming & Guo, Songlin & Dou, Bin & Xie, Bingyuan, 2023. "Evidence of the internationalization of China's crude oil futures: Asymmetric linkages to global financial risks," Energy Economics, Elsevier, vol. 127(PA).

    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. Shen, Lihua & Hong, Yanran, 2023. "Can geopolitical risks excite Germany economic policy uncertainty: Rethinking in the context of the Russia-Ukraine conflict," Finance Research Letters, Elsevier, vol. 51(C).
    2. Zhang, Jiaming & Zou, Yang & Xiang, Yitian & Guo, Songlin, 2023. "Climate change and Japanese economic policy uncertainty: Asymmetric analysis," Finance Research Letters, Elsevier, vol. 56(C).
    3. Zhang, Jiaming & Guo, Songlin & Dou, Bin & Xie, Bingyuan, 2023. "Evidence of the internationalization of China's crude oil futures: Asymmetric linkages to global financial risks," Energy Economics, Elsevier, vol. 127(PA).
    4. Hong, Yanran & Cao, Shijiao & Xu, Pengfei & Pan, Zhigang, 2024. "Interpreting the effect of global economic risks on crude oil market: A supply-demand perspective," International Review of Financial Analysis, Elsevier, vol. 91(C).
    5. Liu, Guangqiang & Zeng, Qing & Lei, Juan, 2022. "Dynamic risks from climate policy uncertainty: A case study for the natural gas market," Resources Policy, Elsevier, vol. 79(C).
    6. Li, Zepei & Huang, Haizhen, 2023. "Challenges for volatility forecasts of US fossil energy spot markets during the COVID-19 crisis," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 31-45.
    7. Chen, Juan & Xiao, Zuoping & Bai, Jiancheng & Guo, Hongling, 2023. "Predicting volatility in natural gas under a cloud of uncertainties," Resources Policy, Elsevier, vol. 82(C).
    8. Yang Hu & Yanran Hong & Kai Feng & Jikai Wang, 2023. "Evaluating the Importance of Monetary Policy Uncertainty: The Long- and Short-Term Effects and Responses," Evaluation Review, , vol. 47(2), pages 264-286, April.
    9. Zeng, Qing & Lu, Xinjie & Dong, Dayong & Li, Pan, 2022. "Category-specific EPU indices, macroeconomic variables and stock market return predictability," International Review of Financial Analysis, Elsevier, vol. 84(C).
    10. Zhang, Zhihao, 2023. "Are climate risks helpful for understanding inflation in BRICS countries?," Finance Research Letters, Elsevier, vol. 58(PB).
    11. Koray Yıldırım & Neşe Algan & Harun Bal, 2024. "Investment Hysteresis: An Empirical Essay Turkish Case," Evaluation Review, , vol. 48(1), pages 143-176, February.
    12. Zhang, Jiaming & Xiang, Yitian & Zou, Yang & Guo, Songlin, 2024. "Volatility forecasting of Chinese energy market: Which uncertainty have better performance?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    13. Liu, Guangqiang & Luo, Keyu & Xu, Pengfei & Zhang, Simeng, 2023. "Climate policy uncertainty and its impact on major grain futures," Finance Research Letters, Elsevier, vol. 58(PB).
    14. Xu, Yongan & Li, Ming & Yan, Wen & Bai, Jiancheng, 2022. "Predictability of the renewable energy market returns: The informational gains from the climate policy uncertainty," Resources Policy, Elsevier, vol. 79(C).
    15. Chao Liang & Yanran Hong & Luu Duc Toan Huynh & Feng Ma, 2023. "Asymmetric dynamic risk transmission between financial stress and monetary policy uncertainty: thinking in the post-covid-19 world," Review of Quantitative Finance and Accounting, Springer, vol. 60(4), pages 1543-1567, May.
    16. Nicholas M. Odhiambo, "undated". "Trade Openness And Energy Consumption In Sub-Saharan African Countries: A Multivariate Panel Granger Causality Test," Working Papers AESRI08, African Economic and Social Research Institute (AESRI).
    17. Wen, Danyan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2024. "Forecasting crude oil market volatility: A comprehensive look at uncertainty variables," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1022-1041.
    18. Hong, Yanran & Li, Pan & Wang, Lu & Zhang, Yaojie, 2023. "New evidence of extreme risk transmission between financial stress and international crude oil markets," Research in International Business and Finance, Elsevier, vol. 64(C).
    19. Chen, Shengming & Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "The Russia–Ukraine war and energy market volatility: A novel application of the volatility ratio in the context of natural gas," Resources Policy, Elsevier, vol. 85(PA).
    20. Mei, Dexiang & Xie, Yutang, 2022. "U.S. grain commodity futures price volatility: Does trade policy uncertainty matter?," Finance Research Letters, Elsevier, vol. 48(C).

    More about this item

    Keywords

    Trade policy uncertainty; Energy consumption; Frequency domain; Granger causality test; Asymmetric;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    Statistics

    Access and download statistics

    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:finlet:v:52:y:2023:i:c:s1544612322007425. 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/locate/frl .

    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.