IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v166y2022ics030142152200235x.html
   My bibliography  Save this article

Geopolitical risk and environmental degradation in BRICS: Aggregation bias and policy inference

Author

Listed:
  • Riti, Joshua Sunday
  • Shu, Yang
  • Riti, Miriam-Kamah J.

Abstract

Currently, the high incidence of environmental degradation is widely quoted as one of the key global concerns. Previous literature has examined various determinants of environmental degradation, yet, there is an inadequacy of studies on geopolitical risks (GPR) and environmental degradation nexus. Additionally, an issue of concern on aggregate estimations is aggregation bias which may cause the wrong estimation of the aggregate relationships, and mislead policymakers. This paper, therefore, investigates the impact of GPR on the environment of BRICS to assess the existence or otherwise of aggregation bias. The findings which emanate from a robust empirical estimation indicate that the relationship is positive at aggregate level while negative at disaggregated level, hence, the existence of aggregation bias in the estimation of GPR-environmental degradation relationship at the aggregate level. The results further show that the disaggregated level result does not support the aggregated level environment-GPR findings. Consequently, policy implications of aggregation bias in estimations may be drawn as follows: Since the aggregation bias may lead to a wrong environment-GPR postulation, policymakers could be misinformed by the incorrect evidence to give wrong policies about environmental concerns. Also, policymakers should consider the environment-GPR nexus at both aggregate and country-specific levels when making environmental policies.

Suggested Citation

  • Riti, Joshua Sunday & Shu, Yang & Riti, Miriam-Kamah J., 2022. "Geopolitical risk and environmental degradation in BRICS: Aggregation bias and policy inference," Energy Policy, Elsevier, vol. 166(C).
  • Handle: RePEc:eee:enepol:v:166:y:2022:i:c:s030142152200235x
    DOI: 10.1016/j.enpol.2022.113010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030142152200235X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2022.113010?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. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    2. Su, Chi-Wei & Khan, Khalid & Tao, Ran & Nicoleta-Claudia, Moldovan, 2019. "Does geopolitical risk strengthen or depress oil prices and financial liquidity? Evidence from Saudi Arabia," Energy, Elsevier, vol. 187(C).
    3. Abid, Mehdi, 2016. "Impact of economic, financial, and institutional factors on CO2 emissions: Evidence from Sub-Saharan Africa economies," Utilities Policy, Elsevier, vol. 41(C), pages 85-94.
    4. Wei-Fong Pan, 2019. "Geopolitical Risk and R&D investment," Economics Discussion Papers em-dp2019-11, Department of Economics, University of Reading.
    5. Swamy, P A V B, 1970. "Efficient Inference in a Random Coefficient Regression Model," Econometrica, Econometric Society, vol. 38(2), pages 311-323, March.
    6. Andrew K. Jorgenson & Brett Clark & Jeffrey Kentor, 2010. "Militarization and the Environment: A Panel Study of Carbon Dioxide Emissions and the Ecological Footprints of Nations, 1970-2000," Global Environmental Politics, MIT Press, vol. 10(1), pages 7-29, February.
    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. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    9. Garrett, Thomas A., 2003. "Aggregated versus disaggregated data in regression analysis: implications for inference," Economics Letters, Elsevier, vol. 81(1), pages 61-65, October.
    10. 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.
    11. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    12. Timothy K. Chue & In Choi, 2007. "Subsampling hypothesis tests for nonstationary panels with applications to exchange rates and stock prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 233-264.
    13. L. Vanessa Smith & Stephen Leybourne & Tae-Hwan Kim & Paul Newbold, 2004. "More powerful panel data unit root tests with an application to mean reversion in real exchange rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(2), pages 147-170.
    14. M. Hashem Pesaran, 2015. "Testing Weak Cross-Sectional Dependence in Large Panels," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1089-1117, December.
    15. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    16. Ahmad, Najid & Du, Liangsheng, 2017. "Effects of energy production and CO2 emissions on economic growth in Iran: ARDL approach," Energy, Elsevier, vol. 123(C), pages 521-537.
    17. Ehsan Rasoulinezhad & Farhad Taghizadeh-Hesary & Jinsok Sung & Nisit Panthamit, 2020. "Geopolitical Risk and Energy Transition in Russia: Evidence from ARDL Bounds Testing Method," Sustainability, MDPI, vol. 12(7), pages 1-17, March.
    18. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    19. Bouoiyour, Jamal & Selmi, Refk & Hammoudeh, Shawkat & Wohar, Mark E., 2019. "What are the categories of geopolitical risks that could drive oil prices higher? Acts or threats?," Energy Economics, Elsevier, vol. 84(C).
    20. Brown, Stephen P.A. & McDonough, Ian K., 2016. "Using the Environmental Kuznets Curve to evaluate energy policy: Some practical considerations," Energy Policy, Elsevier, vol. 98(C), pages 453-458.
    21. Christophe Hurlin & Valérie Mignon, 2007. "Second Generation Panel Unit Root Tests," Working Papers halshs-00159842, HAL.
    22. Cherry, Todd L. & List, John A., 2002. "Aggregation bias in the economic model of crime," Economics Letters, Elsevier, vol. 75(1), pages 81-86, March.
    23. Olanipekun, Ifedolapo Olabisi & Alola, Andrew Adewale, 2020. "Crude oil production in the Persian Gulf amidst geopolitical risk, cost of damage and resources rents: Is there asymmetric inference?," Resources Policy, Elsevier, vol. 69(C).
    24. Heerink, Nico & Mulatu, Abay & Bulte, Erwin, 2001. "Income inequality and the environment: aggregation bias in environmental Kuznets curves," Ecological Economics, Elsevier, vol. 38(3), pages 359-367, September.
    25. Adams, Samuel & Adedoyin, Festus & Olaniran, Eniola & Bekun, Festus Victor, 2020. "Energy consumption, economic policy uncertainty and carbon emissions; causality evidence from resource rich economies," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 179-190.
    26. Kais Saidi & Sami Hammami, 2015. "The Effect of Energy Consumption and Economic Growth on Co2 Emissions:Evidence from 58 Countries," Bulletin of Energy Economics (BEE), The Economics and Social Development Organization (TESDO), vol. 3(3), pages 91-104, September.
    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. Pata, Ugur Korkut & Ertugrul, Hasan Murat, 2023. "Do the Kyoto Protocol, geopolitical risks, human capital and natural resources affect the sustainability limit? A new environmental approach based on the LCC hypothesis," Resources Policy, Elsevier, vol. 81(C).
    2. Ahmad, Mahmood & Ahmed, Zahoor & Khan, Sana Akbar & Alvarado, Rafael, 2023. "Towards environmental sustainability in E−7 countries: Assessing the roles of natural resources, economic growth, country risk, and energy transition," Resources Policy, Elsevier, vol. 82(C).
    3. Pan, Lijun & Wang, Yangjie & Sun, Xiaofei & Sadiq, Muhammad & Dagestani, Abd Alwahed, 2023. "Natural resources: A determining factor of geopolitical risk in Russia? Revisiting conflict-based perspective," Resources Policy, Elsevier, vol. 85(PA).
    4. Jiaping Zhang & Xiaomei Gong, 2023. "How does environmental quality perception influence people's fertility intention? Evidence from China," Australian Economic Papers, Wiley Blackwell, vol. 62(2), pages 272-296, June.
    5. Li, Aihong, 2023. "An application of extenics, spatial factors, and natural resource market in China: The role of artificial intelligence and geopolitical risk," Resources Policy, Elsevier, vol. 81(C).
    6. Wang, Wencheng & Ning, Zinan & Shu, Yang & Riti, Joshua Sunday & Riti, Miriam-Kamah J., 2023. "Natural resource rents and public debts nexus in African resource-rich and most indebted nations: Issues with aggregation bias," Resources Policy, Elsevier, vol. 82(C).
    7. Hille, Erik, 2023. "Europe's energy crisis: Are geopolitical risks in source countries of fossil fuels accelerating the transition to renewable energy?," Energy Economics, Elsevier, vol. 127(PA).
    8. Zhang, Jialin & Shi, Shaodong, 2023. "Extraction of natural resources and geopolitical risk revisited: A novel perspective of research and development with financial development," Resources Policy, Elsevier, vol. 85(PA).
    9. Osama D. Sweidan, 2023. "The Effect of Geopolitical Risk on Income Inequality: Evidence from a Panel Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 47-66, June.

    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. Xu, Tao, 2018. "Investigating Environmental Kuznets Curve in China–Aggregation bias and policy implications," Energy Policy, Elsevier, vol. 114(C), pages 315-322.
    2. Tomiwa Sunday Adebayo & Seyi Saint Akadiri & Joshua Sunday Riti & Ada Tony Odu, 2023. "Interaction among geopolitical risk, trade openness, economic growth, carbon emissions and Its implication on climate change in india," Energy & Environment, , vol. 34(5), pages 1305-1326, August.
    3. Muhammad Khalid Anser & Qasim Raza Syed & Hooi Hooi Lean & Andrew Adewale Alola & Munir Ahmad, 2021. "Do Economic Policy Uncertainty and Geopolitical Risk Lead to Environmental Degradation? Evidence from Emerging Economies," Sustainability, MDPI, vol. 13(11), pages 1-15, May.
    4. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2022. "Which are the long-run determinants of US outward FDI? Evidence using large long-memory panels," Working Papers 2022.08, International Network for Economic Research - INFER.
    5. Wang, Wencheng & Ning, Zinan & Shu, Yang & Riti, Joshua Sunday & Riti, Miriam-Kamah J., 2023. "Natural resource rents and public debts nexus in African resource-rich and most indebted nations: Issues with aggregation bias," Resources Policy, Elsevier, vol. 82(C).
    6. Yang, Shuangpeng & umar, Muhammad, 2022. "How globalization is reshaping the environmental quality in G7 economies in the presence of renewable energy initiatives?," Renewable Energy, Elsevier, vol. 193(C), pages 128-135.
    7. Munir Ahmad & Heng Li & Muhammad Khalid Anser & Abdul Rehman & Zeeshan Fareed & Qingyou Yan & Gul Jabeen, 2021. "Are the intensity of energy use, land agglomeration, CO2 emissions, and economic progress dynamically interlinked across development levels?," Energy & Environment, , vol. 32(4), pages 690-721, June.
    8. Khan, Zeeshan & Ali, Muhsin & Jinyu, Liu & Shahbaz, Muhammad & Siqun, Yang, 2020. "Consumption-based carbon emissions and trade nexus: Evidence from nine oil exporting countries," Energy Economics, Elsevier, vol. 89(C).
    9. 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).
    10. 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.
    11. Fateh Belaïd, Sabri Boubaker, Rajwane Kafrouni, 2020. "Carbon emissions, income inequality and environmental degradation: the case of Mediterranean countries," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 17(1), pages 73-102, June.
    12. Appiah, Michael & Karim, Sitara & Naeem, Muhammad Abubakr & Lucey, Brian M., 2022. "Do institutional affiliation affect the renewable energy-growth nexus in the Sub-Saharan Africa: Evidence from a multi-quantitative approach," Renewable Energy, Elsevier, vol. 191(C), pages 785-795.
    13. R. Golinelli & I. Mammi & A. Musolesi, 2018. "Parameter heterogeneity, persistence and cross-sectional dependence: new insights on fiscal policy reaction functions for the Euro area," Working Papers wp1120, Dipartimento Scienze Economiche, Universita' di Bologna.
    14. Kai-Hua Wang & Jia-Min Kan & Cui-Feng Jiang & Chi-Wei Su, 2022. "Is Geopolitical Risk Powerful Enough to Affect Carbon Dioxide Emissions? Evidence from China," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    15. Trofimov, Ivan D., 2020. "Public capital and productive economy profits: evidence from OECD economies," MPRA Paper 106848, University Library of Munich, Germany.
    16. 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).
    17. Ahmad, Munir & Zhu, Xiwei & Wu, Yiyun, 2022. "The criticality of international tourism and technological innovation for carbon neutrality across regional development levels," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    18. Dobdinga Cletus Fonchamnyo & Ongo Nkoa Bruno Emmanuel & Gildas Dohba Dinga, 2021. "The effects of trade, foreign direct investment, and economic growth on environmental quality and overshoot: a dynamic common correlation effects approach," SN Business & Economics, Springer, vol. 1(10), pages 1-27, October.
    19. Muhammad Shafiullah & Vassilios G. Papavassiliou & Muhammad Shahbaz, 2021. "Is There an Extended Education-Based Environmental Kuznets Curve? An Analysis of U.S. States," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(4), pages 795-819, December.
    20. Shang, Yunfeng & Razzaq, Asif & Chupradit, Supat & Binh An, Nguyen & Abdul-Samad, Zulkiflee, 2022. "The role of renewable energy consumption and health expenditures in improving load capacity factor in ASEAN countries: Exploring new paradigm using advance panel models," Renewable Energy, Elsevier, vol. 191(C), pages 715-722.

    More about this item

    Keywords

    Geopolitical risks; Environmental degradation; BRICS; Aggregation bias; PMG/ARDL estimator;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving
    • K32 - Law and Economics - - Other Substantive Areas of Law - - - Energy, Environmental, Health, and Safety Law
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

    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:enepol:v:166:y:2022:i:c:s030142152200235x. 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/enpol .

    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.