IDEAS home Printed from https://ideas.repec.org/a/eee/jpolmo/v40y2018i4p730-746.html
   My bibliography  Save this article

Does country-risk influence electricity production worldwide?

Author

Listed:
  • Sequeira, Tiago Neves
  • Santos, Marcelo Serra

Abstract

This paper investigates the relationship between country-risks (or conflicts) within countries and electricity production. The determinants of electricity production have been neglected in the literature that favours the relationship between energy consumption, growth and development, and despite of the major challenges on electricity supply systems. We empirically establish that weighted conflict index, as well as sub-items as anti-government demonstrations, government crises and riots negatively influence electricity production per capita, after controlling for income per capita. Country conflicts affect electricity production mostly in the long-run. Our results imply that conflicts may affect electricity production substantially and consequently the economy as a whole. Policy should emphasize the institutional framework to avoid conflicts within countries in order to secure electricity production.

Suggested Citation

  • Sequeira, Tiago Neves & Santos, Marcelo Serra, 2018. "Does country-risk influence electricity production worldwide?," Journal of Policy Modeling, Elsevier, vol. 40(4), pages 730-746.
    • Handle: RePEc:eee:jpolmo:v:40:y:2018:i:4:p:730-746
    DOI: 10.1016/j.jpolmod.2018.01.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S016189381830019X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jpolmod.2018.01.013?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. Zsuzsanna Csereklyei, M. d. Mar Rubio-Varas, and David I. Stern, 2016. "Energy and Economic Growth: The Stylized Facts," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    2. Eberhardt, Markus & Presbitero, Andrea F., 2015. "Public debt and growth: Heterogeneity and non-linearity," Journal of International Economics, Elsevier, vol. 97(1), pages 45-58.
    3. 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.
    4. World Bank, 2011. "World Development Report 2011 [Rapport sur le développement dans le monde 2011 : Conflits, sécurité et développement - Abrégé]," World Bank Publications - Books, The World Bank Group, number 4389, December.
    5. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    6. Carter, Adrian & Craigwell, Roland & Moore, Winston, 2012. "Price reform and household demand for electricity," Journal of Policy Modeling, Elsevier, vol. 34(2), pages 242-252.
    7. David E. Rapach, 2002. "Are Real GDP Levels Nonstationary? Evidence from Panel Data Tests," Southern Economic Journal, John Wiley & Sons, vol. 68(3), pages 473-495, January.
    8. 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.
    9. Anindya Banerjee & Josep Lluis Carrion-i-Silvestre, 2011. "Testing for Panel Cointegration Using Common Correlated Effects," Discussion Papers 11-16, Department of Economics, University of Birmingham.
    10. 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.
    11. Aisen, Ari & Veiga, Francisco José, 2013. "How does political instability affect economic growth?," European Journal of Political Economy, Elsevier, vol. 29(C), pages 151-167.
    12. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    13. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    14. Alesina, Alberto & Özler, Sule & Roubini, Nouriel & Swagel, Phillip, 1996. "Political Instability and Economic Growth," Journal of Economic Growth, Springer, vol. 1(2), pages 189-211, June.
    15. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    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. Tiago Sequeira & Marcelo Santos, 2018. "Education and Energy Intensity: Simple Economic Modelling and Preliminary Empirical Results," Sustainability, MDPI, vol. 10(8), pages 1-17, July.
    2. Azevedo, Susana Garrido & Sequeira, Tiago & Santos, Marcelo & Mendes, Luis, 2019. "Biomass-related sustainability: A review of the literature and interpretive structural modeling," Energy, Elsevier, vol. 171(C), pages 1107-1125.

    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. Tiago Sequeira & Marcelo Santos, 2018. "Education and Energy Intensity: Simple Economic Modelling and Preliminary Empirical Results," Sustainability, MDPI, vol. 10(8), pages 1-17, July.
    2. Sequeira Tiago Neves, 2017. "Democracy and income: taking parameter heterogeneity and cross-country dependency into account," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(2), pages 1-19, June.
    3. Quynh Chau Pham Holland & Benjamin Liu & Eduardo Roca, 2019. "International funding cost and heterogeneous mortgage interest-rate pass-through: a bank-level analysis," Empirical Economics, Springer, vol. 57(4), pages 1255-1289, October.
    4. Elisabet Rodriguez Llorian & Janelle Mann, 2022. "Exploring the technology–healthcare expenditure nexus: a panel error correction approach," Empirical Economics, Springer, vol. 62(6), pages 3061-3086, June.
    5. Mika, Alina & Zumer, Tina, 2017. "Indebtedness in the EU: a drag or a catalyst for growth?," Working Paper Series 2118, European Central Bank.
    6. Tiago Neves Sequeira & Marcelo Santos & Alexandra Ferreira-Lopes, 2017. "Income Inequality, TFP, and Human Capital," The Economic Record, The Economic Society of Australia, vol. 93(300), pages 89-111, March.
    7. Markus Eberhardt & Andrea Filippo Presbitero, 2013. "This Time They're Different: Heterogeneity;and Nonlinearity in the Relationship;between Debt and Growth," Mo.Fi.R. Working Papers 92, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    8. NguyenHuu, Tams & Karaman Örsal, Deniz Dilan, 2020. "A new and benign hegemon on the horizon? The Chinese century and growth in the Global South," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-35.
    9. Abrams M. E. Tagem, 2023. "The dynamic effects of aid and taxes on government spending," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(6), pages 1656-1687, December.
    10. Philip Kerner & Torben Klarl & Tobias Wendler, 2021. "Green Technologies, Environmental Policy and Regional Growth," Bremen Papers on Economics & Innovation 2104, University of Bremen, Faculty of Business Studies and Economics.
    11. Markus Eberhardt & Francis Teal, 2008. "Modeling Technology and Technological Change in Manufacturing: How do Countries Differ?," CSAE Working Paper Series 2008-12, Centre for the Study of African Economies, University of Oxford.
    12. Hector Sala & Pedro Trivín, 2018. "The effects of globalization and technology on the elasticity of substitution," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 154(3), pages 617-647, August.
    13. Abrams M E Tagem, 2017. "Aid, Taxes and Government Spending: A Heterogeneous Cointegrated Panel Analysis," Discussion Papers 2017-02, University of Nottingham, CREDIT.
    14. Gonzalez, Ignacio & Trivin, Pedro, 2019. "The Global Rise of Asset Prices and the Decline of the Labor Share," MPRA Paper 94587, University Library of Munich, Germany.
    15. Francis Teal & Markus Eberhardt, 2010. "Productivity Analysis in Global Manufacturing Production," Economics Series Working Papers 515, University of Oxford, Department of Economics.
    16. Kyoji Fukao & Cristiano Perugini, 2021. "The Long‐Run Dynamics of the Labor Share in Japan," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(2), pages 445-480, June.
    17. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    18. Antonia Arsova, 2019. "Exchange rate pass-through to import prices in Europe: A panel cointegration approach," Working Paper Series in Economics 384, University of Lüneburg, Institute of Economics.
    19. Bonizzi, Bruno, 2017. "Institutional investors’ allocation to emerging markets: A panel approach to asset demand," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 47-64.
    20. Markus Eberhardt & Francis Teal, 2013. "No Mangoes in the Tundra: Spatial Heterogeneity in Agricultural Productivity Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 914-939, December.

    More about this item

    Keywords

    Electricity production; Income; Conflicts; Country-risk; Institutions;
    All these keywords.

    JEL classification:

    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • O50 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - General

    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:jpolmo:v:40:y:2018:i:4:p:730-746. 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/inca/505735 .

    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.