IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/84055.html
   My bibliography  Save this paper

Renewable Energy, Quality of Institutions and Economic Growth in MENA Countries: a Panel Cointegration Approach

Author

Listed:
  • Saidi, Hichem
  • El Montasser, Ghassen
  • Ajmi, Noomen

Abstract

In this paper, we examine the relationship between renewable energy and economic growth taking into account institutional measures. Using panel cointegration tests, we found that these two variables and any institutional measure, of all considered in this study, are co-integrated. Furthermore, we found a strong causality running from renewable energy and any institutional measure, except for law and order, to growth. A reverse path is also observed since there is also a strong causality running from growth to renewable energy when the causal regression includes any institutional measure. Policy implications are accordingly derived.

Suggested Citation

  • Saidi, Hichem & El Montasser, Ghassen & Ajmi, Noomen, 2018. "Renewable Energy, Quality of Institutions and Economic Growth in MENA Countries: a Panel Cointegration Approach," MPRA Paper 84055, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:84055
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/84055/1/MPRA_paper_84055.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brooks,Chris, 2008. "RATS Handbook to Accompany Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9780521896955.
    2. Joakim Westerlund & David L. Edgerton, 2008. "A Simple Test for Cointegration in Dependent Panels with Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(5), pages 665-704, October.
    3. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    4. Naved Ahmad & Shahid Ali, 2010. "Corruption and financial sector performance: A cross-country analysis," Economics Bulletin, AccessEcon, vol. 30(1), pages 303-308.
    5. Haug Alfred A & Beyer Andreas & Dewald William, 2011. "Structural Breaks and the Fisher Effect," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-31, May.
    6. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521828284, September.
    7. M. Hashem Pesaran & Aman Ullah & Takashi Yamagata, 2008. "A bias-adjusted LM test of error cross-section independence," Econometrics Journal, Royal Economic Society, vol. 11(1), pages 105-127, March.
    8. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    9. Elizabeth Asiedu & James Freeman, 2009. "The Effect of Corruption on Investment Growth: Evidence from Firms in Latin America, Sub‐Saharan Africa, and Transition Countries," Review of Development Economics, Wiley Blackwell, vol. 13(2), pages 200-214, May.
    10. Bhattacharya, Mita & Awaworyi Churchill, Sefa & Paramati, Sudharshan Reddy, 2017. "The dynamic impact of renewable energy and institutions on economic output and CO2 emissions across regions," Renewable Energy, Elsevier, vol. 111(C), pages 157-167.
    11. 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.
    12. Ghulam Shabbir & Mumtaz Anwar, 2007. "Determinants of Corruption in Developing Countries," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 46(4), pages 751-764.
    13. 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.
    14. Dridi, Mohamed, 2013. "Corruption and Economic Growth: The Transmission Channels," MPRA Paper 47873, University Library of Munich, Germany.
    15. Frees, Edward W., 1995. "Assessing cross-sectional correlation in panel data," Journal of Econometrics, Elsevier, vol. 69(2), pages 393-414, October.
    16. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    17. Cifor, Angela & Denholm, Paul & Ela, Erik & Hodge, Bri-Mathias & Reed, Adam, 2015. "The policy and institutional challenges of grid integration of renewable energy in the western United States," Utilities Policy, Elsevier, vol. 33(C), pages 34-41.
    18. Ewing, Bradley T. & Payne, James E. & Caporin, Massimilano, 2022. "The Asymmetric Impact of Oil Prices and Production on Drilling Rig Trajectory: A correction," Resources Policy, Elsevier, vol. 79(C).
    19. Mo, Pak Hung, 2001. "Corruption and Economic Growth," Journal of Comparative Economics, Elsevier, vol. 29(1), pages 66-79, March.
    20. Biru Paksha Paul, 2010. "Does corruption foster growth in Bangladesh?," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 9(3), pages 246-262, September.
    21. Sahbi Farhani, 2013. "Renewable Energy Consumption, Economic Growth and Co2 Emissions: Evidence from Selected Mena Countries," Energy Economics Letters, Asian Economic and Social Society, vol. 1(2), pages 24-41.
    22. Rafindadi, Abdulkadir Abdulrashid & Ozturk, Ilhan, 2017. "Impacts of renewable energy consumption on the German economic growth: Evidence from combined cointegration test," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1130-1141.
    23. Chang, Yen-Chiang & Wang, Nannan, 2017. "Legal system for the development of marine renewable energy in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 192-196.
    24. repec:ebl:ecbull:v:30:y:2010:i:1:p:303-308 is not listed on IDEAS
    25. Inglesi-Lotz, Roula, 2016. "The impact of renewable energy consumption to economic growth: A panel data application," Energy Economics, Elsevier, vol. 53(C), pages 58-63.
    26. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    27. Lichao Wu & David C. Broadstock, 2015. "Does economic, financial and institutional development matter for renewable energy consumption? Evidence from emerging economies," International Journal of Economic Policy in Emerging Economies, Inderscience Enterprises Ltd, vol. 8(1), pages 20-39.
    28. Kahia, Montassar & Ben Aïssa, Mohamed Safouane & Charfeddine, Lanouar, 2016. "Impact of renewable and non-renewable energy consumption on economic growth: New evidence from the MENA Net Oil Exporting Countries (NOECs)," Energy, Elsevier, vol. 116(P1), pages 102-115.
    29. Ohler, Adrienne & Fetters, Ian, 2014. "The causal relationship between renewable electricity generation and GDP growth: A study of energy sources," Energy Economics, Elsevier, vol. 43(C), pages 125-139.
    30. Giorgio d’Agostino & John Paul Dunne & Luca Pieroni, 2012. "Corruption, Military Spending And Growth," Defence and Peace Economics, Taylor & Francis Journals, vol. 23(6), pages 591-604, December.
    31. Swamy, P A V B, 1970. "Efficient Inference in a Random Coefficient Regression Model," Econometrica, Econometric Society, vol. 38(2), pages 311-323, March.
    32. 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.
    33. Saha, Shrabani & Gounder, Rukmani, 2013. "Corruption and economic development nexus: Variations across income levels in a non-linear framework," Economic Modelling, Elsevier, vol. 31(C), pages 70-79.
    34. Kevin M. Murphy & Andrei Shleifer & Robert W. Vishny, 1991. "The Allocation of Talent: Implications for Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(2), pages 503-530.
    35. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    36. Noel Johnson & Courtney LaFountain & Steven Yamarik, 2011. "Corruption is bad for growth (even in the United States)," Public Choice, Springer, vol. 147(3), pages 377-393, June.
    37. Nicholas Apergis & Dan Constantin Danuletiu, 2014. "Renewable Energy and Economic Growth: Evidence from the Sign of Panel Long-Run Causality," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 578-587.
    38. Westerlund, Joakim & Thuraisamy, Kannan & Sharma, Susan, 2015. "On the use of panel cointegration tests in energy economics," Energy Economics, Elsevier, vol. 50(C), pages 359-363.
    39. Amri, Fethi, 2017. "Intercourse across economic growth, trade and renewable energy consumption in developing and developed countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 527-534.
    40. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    41. Paolo Mauro, 1995. "Corruption and Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 681-712.
    42. 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.
    43. Yildirim, Ertuğrul & Saraç, Şenay & Aslan, Alper, 2012. "Energy consumption and economic growth in the USA: Evidence from renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6770-6774.
    44. Jushan Bai & Josep Lluís Carrion-I-Silvestre, 2009. "Structural Changes, Common Stochastic Trends, and Unit Roots in Panel Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(2), pages 471-501.
    45. Kwabena Gyimah-Brempong, 2002. "Corruption, economic growth, and income inequality in Africa," Economics of Governance, Springer, vol. 3(3), pages 183-209, November.
    46. Salim, Ruhul A. & Hassan, Kamrul & Shafiei, Sahar, 2014. "Renewable and non-renewable energy consumption and economic activities: Further evidence from OECD countries," Energy Economics, Elsevier, vol. 44(C), pages 350-360.
    47. Kwabena Gyimah-Brempong & Samaria de Gyimah-Brempong, 2006. "Corruption, Growth, and Income Distribution: Are there Regional Differences?," Economics of Governance, Springer, vol. 7(3), pages 245-269, August.
    48. Sahbi Farhani, 2015. "Renewable energy consumption, economic growth and CO2 emissions: Evidence from selected MENA countries," Working Papers 2015-612, Department of Research, Ipag Business School.
    49. Pao, Hsiao-Tien & Fu, Hsin-Chia, 2013. "Renewable energy, non-renewable energy and economic growth in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 381-392.
    50. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    51. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    52. Rock, Michael T. & Bonnett, Heidi, 2004. "The Comparative Politics of Corruption: Accounting for the East Asian Paradox in Empirical Studies of Corruption, Growth and Investment," World Development, Elsevier, vol. 32(6), pages 999-1017, June.
    53. Josep Lluís Carrion-i-Silvestre & Tomás del Barrio-Castro & Enrique López-Bazo, 2005. "Breaking the panels: An application to the GDP per capita," Econometrics Journal, Royal Economic Society, vol. 8(2), pages 159-175, July.
    54. Wirth, Steffen, 2014. "Communities matter: Institutional preconditions for community renewable energy," Energy Policy, Elsevier, vol. 70(C), pages 236-246.
    55. Farooq, Abdul & Shahbaz, Muhammad & Arouri, Mohamed & Teulon, Frédéric, 2013. "Does corruption impede economic growth in Pakistan?," Economic Modelling, Elsevier, vol. 35(C), pages 622-633.
    56. Menegaki, Angeliki N., 2011. "Growth and renewable energy in Europe: A random effect model with evidence for neutrality hypothesis," Energy Economics, Elsevier, vol. 33(2), pages 257-263, March.
    57. Sadorsky, Perry, 2009. "Renewable energy consumption and income in emerging economies," Energy Policy, Elsevier, vol. 37(10), pages 4021-4028, October.
    58. Olubanjo Taiwo Ajilore & D.O. Elumilade, 2007. "Does Corruption Matter For Nigeria Long Run Growth: Evidence From Cointegration Analyses And Causality Tests?," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 1(2), pages 69-79.
    59. Sahbi Farhani & Jaleleddine Ben Rejeb, 2012. "Energy Consumption, Economic Growth and CO2 Emissions: Evidence from Panel Data for MENA Region," International Journal of Energy Economics and Policy, Econjournals, vol. 2(2), pages 71-81.
    60. Fang, Yiping, 2011. "Economic welfare impacts from renewable energy consumption: The China experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 5120-5128.
    61. Lin, Boqiang & Moubarak, Mohamed, 2014. "Renewable energy consumption – Economic growth nexus for China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 111-117.
    62. Ocal, Oguz & Aslan, Alper, 2013. "Renewable energy consumption–economic growth nexus in Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 494-499.
    63. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521535380, September.
    64. World Bank, 2010. "World Development Report 2010," World Bank Publications - Books, The World Bank Group, number 4387.
    65. Kahia, Montassar & Aïssa, Mohamed Safouane Ben & Lanouar, Charfeddine, 2017. "Renewable and non-renewable energy use - economic growth nexus: The case of MENA Net Oil Importing Countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 127-140.
    66. Dogan, Eyup & Seker, Fahri, 2016. "Determinants of CO2 emissions in the European Union: The role of renewable and non-renewable energy," Renewable Energy, Elsevier, vol. 94(C), pages 429-439.
    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. Sun, Yunpeng & Li, Haoning & Andlib, Zubaria & Genie, Mesfin G., 2022. "How do renewable energy and urbanization cause carbon emissions? Evidence from advanced panel estimation techniques," Renewable Energy, Elsevier, vol. 185(C), pages 996-1005.

    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. Kahia, Montassar & Aïssa, Mohamed Safouane Ben & Lanouar, Charfeddine, 2017. "Renewable and non-renewable energy use - economic growth nexus: The case of MENA Net Oil Importing Countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 127-140.
    2. Chang, Chiu-Lan & Fang, Ming, 2022. "Renewable energy-led growth hypothesis: New insights from BRICS and N-11 economies," Renewable Energy, Elsevier, vol. 188(C), pages 788-800.
    3. Chen, Chaoyi & Pinar, Mehmet & Stengos, Thanasis, 2020. "Renewable energy consumption and economic growth nexus: Evidence from a threshold model," Energy Policy, Elsevier, vol. 139(C).
    4. Shahbaz, Muhammad & Raghutla, Chandrashekar & Chittedi, Krishna Reddy & Jiao, Zhilun & Vo, Xuan Vinh, 2020. "The effect of renewable energy consumption on economic growth: Evidence from the renewable energy country attractive index," Energy, Elsevier, vol. 207(C).
    5. Dogan, Eyup & Altinoz, Buket & Madaleno, Mara & Taskin, Dilvin, 2020. "The impact of renewable energy consumption to economic growth: A replication and extension of Inglesi-Lotz (2016)," Energy Economics, Elsevier, vol. 90(C).
    6. Zafar, Muhammad Wasif & Shahbaz, Muhammad & Hou, Fujun & Sinha, Avik, 2018. "¬¬¬¬¬¬From Nonrenewable to Renewable Energy and Its Impact on Economic Growth: Silver Line of Research & Development Expenditures in APEC Countries," MPRA Paper 90611, University Library of Munich, Germany, revised 10 Dec 2018.
    7. Kahia, Montassar & Ben Aïssa, Mohamed Safouane & Charfeddine, Lanouar, 2016. "Impact of renewable and non-renewable energy consumption on economic growth: New evidence from the MENA Net Oil Exporting Countries (NOECs)," Energy, Elsevier, vol. 116(P1), pages 102-115.
    8. Adewuyi, Adeolu O. & Awodumi, Olabanji B., 2017. "Biomass energy consumption, economic growth and carbon emissions: Fresh evidence from West Africa using a simultaneous equation model," Energy, Elsevier, vol. 119(C), pages 453-471.
    9. Rahman, Mohammad Mafizur & Velayutham, Eswaran, 2020. "Renewable and non-renewable energy consumption-economic growth nexus: New evidence from South Asia," Renewable Energy, Elsevier, vol. 147(P1), pages 399-408.
    10. Kahia, Montassar & Ben Aissa, Mohamed Safouane, 2014. "Renewable and non-renewable energy consumption and economic growth: Evidence from MENA Net Oil Exporting Countries," MPRA Paper 80776, University Library of Munich, Germany.
    11. 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.
    12. Sung, Bongsuk, 2015. "Public policy supports and export performance of bioenergy technologies: A dynamic panel approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 477-495.
    13. Olimpia Neagu & Mircea Constantin Teodoru, 2019. "The Relationship between Economic Complexity, Energy Consumption Structure and Greenhouse Gas Emission: Heterogeneous Panel Evidence from the EU Countries," Sustainability, MDPI, vol. 11(2), pages 1-29, January.
    14. Huang, Chiung-Ju, 2016. "Is corruption bad for economic growth? Evidence from Asia-Pacific countries," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 247-256.
    15. Adewuyi, Adeolu O. & Awodumi, Olabanji B., 2017. "Renewable and non-renewable energy-growth-emissions linkages: Review of emerging trends with policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 275-291.
    16. Shidong, Li & Chupradit, Supat & Maneengam, Apichit & Suksatan, Wanich & Phan The, Cong & Nguyen Ngoc, Quynh, 2022. "The moderating role of human capital and renewable energy in promoting economic development in G10 economies: Evidence from CUP-FM and CUP-BC methods," Renewable Energy, Elsevier, vol. 189(C), pages 180-187.
    17. 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).
    18. Charfeddine, Lanouar & Kahia, Montassar, 2019. "Impact of renewable energy consumption and financial development on CO2 emissions and economic growth in the MENA region: A panel vector autoregressive (PVAR) analysis," Renewable Energy, Elsevier, vol. 139(C), pages 198-213.
    19. Francisco García-Lillo & Eduardo Sánchez-García & Bartolomé Marco-Lajara & Pedro Seva-Larrosa, 2023. "Renewable Energies and Sustainable Development: A Bibliometric Overview," Energies, MDPI, vol. 16(3), pages 1-22, January.
    20. Ozcan, Burcu & Ozturk, Ilhan, 2019. "Renewable energy consumption-economic growth nexus in emerging countries: A bootstrap panel causality test," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 30-37.

    More about this item

    Keywords

    Cross-section dependence; Panel unit root tests; Panel cointegration tests;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:84055. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.