IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v82y2024icp389-399.html
   My bibliography  Save this article

Analyzing the degree persistence of shocks to energy security of the G7 countries: Evidence using panel SPSM-quantile unit root test

Author

Listed:
  • Fan, Yi
  • Chang, Tsangyao
  • Ranjbar, Omid

Abstract

Energy security is affected by extreme natural, human, domestic political, geopolitical, and fossil energy price shocks/events and green energy policies. The degree of persistence in energy security determines the magnitudes of social, economic, and environmental outcomes of the shocks/policies. In this paper, we examined the degree of persistence in energy security of G7 countries using a new proxy namely the energy security risk index, and a novel second-generation panel quantile unit root test over the period 1980–2018. In addition, we applied the sequential panel selection method (SPSM), to identify the stationary members within each quantile. Our results indicated the stochastic properties of the energy security risk indexes vary across the quantile and the countries. Among the G7 countries, the energy security risk index of the US displays unit root process within all quantiles. While the energy security risk indexes of other countries display stationary processes, especially within high quantiles. Our results have important policy implications regarding the effectiveness of green policies in improving the energy security of the G7 countries and the disturbance effects of anti-energy security shocks. According to our findings, the US has to constantly pursue the risks that threaten the country's energy system while other G7 countries likely do not have such severe concerns about shocks affecting energy security, and these shocks have a short-term effect on their energy security.

Suggested Citation

  • Fan, Yi & Chang, Tsangyao & Ranjbar, Omid, 2024. "Analyzing the degree persistence of shocks to energy security of the G7 countries: Evidence using panel SPSM-quantile unit root test," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 389-399.
  • Handle: RePEc:eee:ecanpo:v:82:y:2024:i:c:p:389-399
    DOI: 10.1016/j.eap.2024.03.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592624000638
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eap.2024.03.007?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. Lee, Chien-Chiang & Ranjbar, Omid & Lee, Chi-Chuan, 2021. "Testing the persistence of shocks on renewable energy consumption: Evidence from a quantile unit-root test with smooth breaks," Energy, Elsevier, vol. 215(PB).
    2. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
    3. Nepal, Rabindra & Paija, Nirash, 2019. "Energy security, electricity, population and economic growth: The case of a developing South Asian resource-rich economy," Energy Policy, Elsevier, vol. 132(C), pages 771-781.
    4. Valentine, Scott Victor, 2011. "Emerging symbiosis: Renewable energy and energy security," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4572-4578.
    5. Moon, H.R.Hyungsik Roger & Perron, Benoit, 2004. "Testing for a unit root in panels with dynamic factors," Journal of Econometrics, Elsevier, vol. 122(1), pages 81-126, September.
    6. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    7. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    8. Gil-Alana, Luis A. & Loomis, David & Payne, James E., 2010. "Does energy consumption by the US electric power sector exhibit long memory behavior?," Energy Policy, Elsevier, vol. 38(11), pages 7512-7518, November.
    9. Chortareas, Georgios & Kapetanios, George, 2009. "Getting PPP right: Identifying mean-reverting real exchange rates in panels," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 390-404, February.
    10. Hamed, Tareq Abu & Bressler, Lindsey, 2019. "Energy security in Israel and Jordan: The role of renewable energy sources," Renewable Energy, Elsevier, vol. 135(C), pages 378-389.
    11. Aized, Tauseef & Shahid, Muhammad & Bhatti, Amanat Ali & Saleem, Muhammad & Anandarajah, Gabrial, 2018. "Energy security and renewable energy policy analysis of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 84(C), pages 155-169.
    12. Emmanuel Hache, 2018. "Do renewable energies improve energy security in the long run?," International Economics, CEPII research center, issue 156, pages 127-135.
    13. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    14. Cergibozan, Raif, 2022. "Renewable energy sources as a solution for energy security risk: Empirical evidence from OECD countries," Renewable Energy, Elsevier, vol. 183(C), pages 617-626.
    15. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    16. Martin-Valmayor, Miguel A. & Gil-Alana, Luis A. & Martín, Asís Pardo, 2023. "US biofuel market persistence and mean reversion properties," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 648-660.
    17. Wang, Bing & Wang, Qian & Wei, Yi-Ming & Li, Zhi-Ping, 2018. "Role of renewable energy in China’s energy security and climate change mitigation: An index decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 187-194.
    18. Chien-Chiang Lee & Omid Ranjbar & Chi-Chuan Lee, 2021. "Analyzing the hysteresis properties and growth stability of renewable energy production of the U.S," Applied Economics, Taylor & Francis Journals, vol. 53(24), pages 2752-2770, May.
    19. Christopoulos, Dimitris K. & León-Ledesma, Miguel A., 2010. "Smooth breaks and non-linear mean reversion: Post-Bretton Woods real exchange rates," Journal of International Money and Finance, Elsevier, vol. 29(6), pages 1076-1093, October.
    20. Dogan, Eyup, 2016. "Are shocks to electricity consumption transitory or permanent? Sub-national evidence from Turkey," Utilities Policy, Elsevier, vol. 41(C), pages 77-84.
    21. Cherp, Aleh & Jewell, Jessica, 2014. "The concept of energy security: Beyond the four As," Energy Policy, Elsevier, vol. 75(C), pages 415-421.
    22. Wang, Kai-Hua & Zhao, Yan-Xin & Su, Yun Hsuan & Lobonţ, Oana-Ramona, 2023. "Energy security and CO2 emissions: New evidence from time-varying and quantile-varying aspects," Energy, Elsevier, vol. 273(C).
    23. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    24. Lee, Chien-Chiang & Wang, Chang-song, 2022. "Financial development, technological innovation and energy security: Evidence from Chinese provincial experience," Energy Economics, Elsevier, vol. 112(C).
    25. Chu, Lan Khanh & Ghosh, Sudeshna & Doğan, Buhari & Nguyen, Nam Hoai & Shahbaz, Muhammad, 2023. "Energy security as new determinant of renewable energy: The role of economic complexity in top energy users," Energy, Elsevier, vol. 263(PC).
    26. Le, Thai-Ha & Nguyen, Canh Phuc, 2019. "Is energy security a driver for economic growth? Evidence from a global sample," Energy Policy, Elsevier, vol. 129(C), pages 436-451.
    27. Payne, James E. & Truong, Huong Hoang Diep & Chu, Lan Khanh & Doğan, Buhari & Ghosh, Sudeshna, 2023. "The effect of economic complexity and energy security on measures of energy efficiency: Evidence from panel quantile analysis," Energy Policy, Elsevier, vol. 177(C).
    28. Mohsen Bahmani‐Oskooee & Tsangyao Chang & Zahra (Mila) Elmi & Omid Ranjbar, 2019. "Real Interest Rate Parity And Fourier Quantile Unit Root Test," Bulletin of Economic Research, Wiley Blackwell, vol. 71(3), pages 348-358, July.
    29. Victoriia Alekhina, 2021. "The Role Of Energy Security In Economic Growth In Asia: Quantitative Analysis And Policy Options," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 66(02), pages 545-567, March.
    30. Lee, Yi-Lung & Ranjbar, Omid & Jahangard, Fateme & Chang, Tsangyao, 2020. "Analyzing slowdown and meltdowns in the African countries: New evidence using Fourier quantile unit root test," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 187-198.
    31. Gasparatos, Alexandros & Gadda, Tatiana, 2009. "Environmental support, energy security and economic growth in Japan," Energy Policy, Elsevier, vol. 37(10), pages 4038-4048, October.
    32. Jun Wen & Xinxin Zhao & Quan-Jing Wang & Chun-Ping Chang, 2021. "The impact of international sanctions on energy security," Energy & Environment, , vol. 32(3), pages 458-480, May.
    33. Olanipekun, Ifedolapo Olabisi & Ozkan, Oktay & Olasehinde-Williams, Godwin, 2023. "Is renewable energy use lowering resource-related uncertainties?," Energy, Elsevier, vol. 271(C).
    34. Mohsen Bahmani-Oskooee & Tsangyao Chang & Omid Ranjbar, 2018. "Testing hysteresis effect in U.S. state unemployment: new evidence using a nonlinear quantile unit root test," Applied Economics Letters, Taylor & Francis Journals, vol. 25(4), pages 249-253, February.
    35. Yi-Ting Peng & Tsangyao Chang & Omid Ranjbar, 2022. "Re-Investigating the degree of persistence of U.S. economic policy uncertainty using the Fourier non-linear quantile unit root test," Applied Economics, Taylor & Francis Journals, vol. 54(39), pages 4586-4595, August.
    36. Sovacool, Benjamin K., 2013. "An international assessment of energy security performance," Ecological Economics, Elsevier, vol. 88(C), pages 148-158.
    37. Ralf Becker & Walter Enders & Junsoo Lee, 2006. "A Stationarity Test in the Presence of an Unknown Number of Smooth Breaks," Journal of Time Series Analysis, Wiley Blackwell, vol. 27(3), pages 381-409, May.
    38. Gil-Alana, Luis A. & Infante, Juan & Martín-Valmayor, Miguel Angel, 2023. "Persistence and long run co-movements across stock market prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 347-357.
    39. Lee, Chien-Chiang & Xing, Wenwu & Lee, Chi-Chuan, 2022. "The impact of energy security on income inequality: The key role of economic development," Energy, Elsevier, vol. 248(C).
    40. Alola, Andrew Adewale & Özkan, Oktay & Obekpa, Hephzibah Onyeje, 2023. "Examining the patterns of disaggregate energy security risk and crude oil price: the USA scenario over 1970–2040," Resources Policy, Elsevier, vol. 82(C).
    41. Qiu, Lei & Wang, Xiaoyang & Wei, Jia, 2023. "Energy security and energy management: The role of extreme natural events," Innovation and Green Development, Elsevier, vol. 2(2).
    42. Iyke, Bernard Njindan, 2024. "Climate change, energy security risk, and clean energy investment," Energy Economics, Elsevier, vol. 129(C).
    43. Yang, Hao-Chang & Feng, Gen-Fu & Zhao, Xin Xin & Chang, Chun-Ping, 2022. "The impacts of energy insecurity on green innovation: A multi-country study," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 139-154.
    44. Lee, Chi-Chuan & Tang, Huayun & Li, Ding, 2022. "The roles of oil shocks and geopolitical uncertainties on China’s green bond returns," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 494-505.
    45. Ang, B.W. & Choong, W.L. & Ng, T.S., 2015. "Energy security: Definitions, dimensions and indexes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1077-1093.
    46. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    47. Payne, James E. & Lee, Junsoo & Islam, Md. Towhidul & Nazlioglu, Saban, 2022. "Stochastic convergence of per capita greenhouse gas emissions: New unit root tests with breaks and a factor structure," Energy Economics, Elsevier, vol. 113(C).
    48. Tsong, Ching-Chuan & Lee, Cheng-Feng, 2011. "Asymmetric inflation dynamics: Evidence from quantile regression analysis," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 668-680.
    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. Schneider, Nicolas & Strielkowski, Wadim, 2023. "Modelling the unit root properties of electricity data—A general note on time-domain applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    2. Tsangyao Chang & Tsung-Pao Wu & Rangan Gupta, 2015. "Are house prices in South Africa really nonstationary? Evidence from SPSM-based panel KSS test with a Fourier function," Applied Economics, Taylor & Francis Journals, vol. 47(1), pages 32-53, January.
    3. Eleftherios Thalassinos & Marta Kadłubek & Le Minh Thong & Tran Van Hiep & Erginbay Ugurlu, 2022. "Managerial Issues Regarding the Role of Natural Gas in the Transition of Energy and the Impact of Natural Gas Consumption on the GDP of Selected Countries," Resources, MDPI, vol. 11(5), pages 1-22, April.
    4. Angeliki N. Menegaki, 2019. "The ARDL Method in the Energy-Growth Nexus Field; Best Implementation Strategies," Economies, MDPI, vol. 7(4), pages 1-16, October.
    5. Durusu-Ciftci, Dilek & Ispir, M. Serdar & Kok, Dundar, 2019. "Do stock markets follow a random walk? New evidence for an old question," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 165-175.
    6. Anil Shrestha & Makoto Kakinaka, 2022. "Remittance Inflows and Energy Transition of the Residential Sector in Developing Countries," Sustainability, MDPI, vol. 14(17), pages 1-19, August.
    7. Yifei Cai & Cosimo Magazzino, 2019. "Are shocks to natural gas consumption transitory or permanent? A more powerful panel unit root test on the G7 countries," Natural Resources Forum, Blackwell Publishing, vol. 43(2), pages 111-120, May.
    8. Haoran Zhao & Sen Guo & Huiru Zhao, 2018. "Impacts of GDP, Fossil Fuel Energy Consumption, Energy Consumption Intensity, and Economic Structure on SO 2 Emissions: A Multi-Variate Panel Data Model Analysis on Selected Chinese Provinces," Sustainability, MDPI, vol. 10(3), pages 1-20, March.
    9. Tolga Omay & Muhammad Shahbaz & Chris Stewart, 2021. "Is there really hysteresis in the OECD unemployment rates? New evidence using a Fourier panel unit root test," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(4), pages 875-901, November.
    10. Subramaniam, Yogeeswari & Loganathan, Nanthakumar & Subramaniam, Thirunaukarasu, 2023. "The moderating role of remittances in the energy security-poverty nexus in developing countries," Utilities Policy, Elsevier, vol. 84(C).
    11. Tiba, Sofien & Belaid, Fateh, 2020. "The pollution concern in the era of globalization: Do the contribution of foreign direct investment and trade openness matter?," Energy Economics, Elsevier, vol. 92(C).
    12. Bakry, Walid & Nghiem, Xuan-Hoa & Farouk, Sherine & Vo, Xuan Vinh, 2023. "Does it hurt or help? Revisiting the effects of ICT on economic growth and energy consumption: A nonlinear panel ARDL approach," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 597-617.
    13. Mehdi Nemati & Wuyang Hu & Michael Reed, 2019. "Are free trade agreements good for the environment? A panel data analysis," Review of Development Economics, Wiley Blackwell, vol. 23(1), pages 435-453, February.
    14. Raihan, Selim & Abdullah, S M & Barkat, Aroni & Siddiqua, Salina, 2017. "Mean Reversion of the Real Exchange Rate and the validity of PPP Hypothesis in the context of Bangladesh: A Holistic Approach," MPRA Paper 77172, University Library of Munich, Germany.
    15. Cergibozan, Raif, 2022. "Renewable energy sources as a solution for energy security risk: Empirical evidence from OECD countries," Renewable Energy, Elsevier, vol. 183(C), pages 617-626.
    16. Chang, Ming-Jen & Su, Che-Yi, 2014. "Hysteresis versus natural rate in Taiwan's unemployment: Evidence from the educational attainment categories," Economic Modelling, Elsevier, vol. 43(C), pages 293-304.
    17. Omay, Tolga & Shahbaz, Muhammad & Stewart, Chris, 2021. "Is There Really Hysteresis in OECD Countries’ Unemployment Rates? New Evidence Using a Fourier Panel Unit Root Test," MPRA Paper 107691, University Library of Munich, Germany, revised 10 May 2021.
    18. Tolga Omay & Mübariz Hasanov & Yongcheol Shin, 2018. "Testing for Unit Roots in Dynamic Panels with Smooth Breaks and Cross-Sectionally Dependent Errors," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 167-193, June.
    19. Ozcan, Burcu, 2013. "The nexus between carbon emissions, energy consumption and economic growth in Middle East countries: A panel data analysis," Energy Policy, Elsevier, vol. 62(C), pages 1138-1147.
    20. Belaïd, Fateh & Zrelli, Maha Harbaoui, 2019. "Renewable and non-renewable electricity consumption, environmental degradation and economic development: Evidence from Mediterranean countries," Energy Policy, Elsevier, vol. 133(C).

    More about this item

    Keywords

    Energy security; Energy security risk index; Panel quantile unit root; Quantile regression; Sequential panel selection method; G7 countries;
    All these keywords.

    JEL classification:

    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:ecanpo:v:82:y:2024:i:c:p:389-399. 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/economic-analysis-and-policy .

    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.