IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v45y2014icp485-490.html
   My bibliography  Save this article

Dutch disease effect of oil rents on agriculture value added in Middle East and North African (MENA) countries

Author

Listed:
  • Apergis, Nicholas
  • El-Montasser, Ghassen
  • Sekyere, Emmanuel
  • Ajmi, Ahdi N.
  • Gupta, Rangan

Abstract

This paper investigates the effect of oil rents on agriculture value added in oil producing Middle East and North African (MENA) countries. Annual data from 1970 to 2011, panel cointegration tests by Pedroni (1999), long ran panel causality tests by Canning and Pedroni (2008), and two-step System GMM by Blundell and Bond (1998) are used in this study. We find a negative relationship between oil rents and agriculture value added in the long run, with a rather slow rate of short run adjustment of agriculture value added back to equilibrium after a boom in oil rents. These results indicate that an oil sector boom is associated with a contraction in the agriculture sectors of the countries in the panel in the long run. This is probably attributable to a resource movement effect from other economic sectors to the booming oil sector in these countries. This serves as evidence of a Dutch disease effect of an oil sector boom on agriculture in the MENA countries in this study.

Suggested Citation

  • Apergis, Nicholas & El-Montasser, Ghassen & Sekyere, Emmanuel & Ajmi, Ahdi N. & Gupta, Rangan, 2014. "Dutch disease effect of oil rents on agriculture value added in Middle East and North African (MENA) countries," Energy Economics, Elsevier, vol. 45(C), pages 485-490.
  • Handle: RePEc:eee:eneeco:v:45:y:2014:i:c:p:485-490
    DOI: 10.1016/j.eneco.2014.07.025
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988314001984
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2014.07.025?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. Benjamin, Nancy C. & Devarajan, Shantayanan & Weiner, Robert J., 1989. "The Dutch disease in a developing country : Oil reserves in Cameroon," Journal of Development Economics, Elsevier, vol. 30(1), pages 71-92, January.
    2. Ruy Lama & Juan Pablo Medina, 2012. "Is Exchange Rate Stabilization an Appropriate Cure for the Dutch Disease?," International Journal of Central Banking, International Journal of Central Banking, vol. 8(1), pages 5-46, March.
    3. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    4. Michael Bruno & Jeffrey Sachs, 1982. "Energy and Resource Allocation: A Dynamic Model of the "Dutch Disease"," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 49(5), pages 845-859.
    5. Gylfason, Thorvaldur, 2001. "Natural resources, education, and economic development," European Economic Review, Elsevier, vol. 45(4-6), pages 847-859, May.
    6. Edwards, Sebastian & Aoki, Masanao, 1983. "Oil export boom and Dutch-disease : A dynamic analysis," Resources and Energy, Elsevier, vol. 5(3), pages 219-242, September.
    7. Hanson, Kenneth & Robinson, Sherman & Schluter, Gerald E., 1993. "Sectoral Effects Of A World Oil Price Shock: Economywide Linkages To The Agricultural Sector," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(1), pages 1-21, July.
    8. 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.
    9. Maddala, G S & Wu, Shaowen, 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(0), pages 631-652, Special I.
    10. Corden, W M, 1984. "Booming Sector and Dutch Disease Economics: Survey and Consolidation," Oxford Economic Papers, Oxford University Press, vol. 36(3), pages 359-380, November.
    11. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    12. David Canning & Peter Pedroni, 2008. "Infrastructure, Long‐Run Economic Growth And Causality Tests For Cointegrated Panels," Manchester School, University of Manchester, vol. 76(5), pages 504-527, September.
    13. 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.
    14. Pedroni, Peter, 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(0), pages 653-670, Special I.
    15. Auty, Richard M., 2001. "The political economy of resource-driven growth," European Economic Review, Elsevier, vol. 45(4-6), pages 839-846, May.
    16. Swamy, P A V B, 1970. "Efficient Inference in a Random Coefficient Regression Model," Econometrica, Econometric Society, vol. 38(2), pages 311-323, March.
    17. Nazlioglu, Saban & Soytas, Ugur, 2011. "World oil prices and agricultural commodity prices: Evidence from an emerging market," Energy Economics, Elsevier, vol. 33(3), pages 488-496, May.
    18. Acosta, Pablo A. & Lartey, Emmanuel K.K. & Mandelman, Federico S., 2009. "Remittances and the Dutch disease," Journal of International Economics, Elsevier, vol. 79(1), pages 102-116, September.
    19. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    20. Fardmanesh, Mohsen, 1991. "Dutch disease economics and oil syndrome: An empirical study," World Development, Elsevier, vol. 19(6), pages 711-717, June.
    21. Corden, W Max & Neary, J Peter, 1982. "Booming Sector and De-Industrialisation in a Small Open Economy," Economic Journal, Royal Economic Society, vol. 92(368), pages 825-848, December.
    22. Torvik, Ragnar, 2002. "Natural resources, rent seeking and welfare," Journal of Development Economics, Elsevier, vol. 67(2), pages 455-470, April.
    23. Michael Bruno & Jeffrey Sachs, 1982. "Energy and Resource Allocation: A Dynamic Model of the "Dutch Disease"," NBER Working Papers 0852, National Bureau of Economic Research, Inc.
    24. Nazlioglu, Saban, 2011. "World oil and agricultural commodity prices: Evidence from nonlinear causality," Energy Policy, Elsevier, vol. 39(5), pages 2935-2943, May.
    25. 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.
    26. Nazlioglu, Saban & Soytas, Ugur, 2012. "Oil price, agricultural commodity prices, and the dollar: A panel cointegration and causality analysis," Energy Economics, Elsevier, vol. 34(4), pages 1098-1104.
    27. 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.
    28. Eastwood, R K & Venables, A J, 1982. "The Macroeconomic Implications of a Resource Discovery in an Open Economy," Economic Journal, Royal Economic Society, vol. 92(366), pages 285-299, June.
    29. Sachs, Jeffrey D. & Warner, Andrew M., 2001. "The curse of natural resources," European Economic Review, Elsevier, vol. 45(4-6), pages 827-838, May.
    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. Magali Dauvin, 2013. "Energy prices and the real exchange rate of commodity-exporting countries," EconomiX Working Papers 2013-33, University of Paris Nanterre, EconomiX.
    2. Tiba, Sofien & Frikha, Mohamed, 2019. "The controversy of the resource curse and the environment in the SDGs background: The African context," Resources Policy, Elsevier, vol. 62(C), pages 437-452.
    3. Edouard Mien & Michaël Goujon, 2022. "40 Years of Dutch Disease Literature: Lessons for Developing Countries," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 64(3), pages 351-383, September.
    4. Eberhardt, Markus & Teal, Francis, 2008. "Modeling technology and technological change in manufacturing: how do countries differ?," MPRA Paper 10690, University Library of Munich, Germany.
    5. Moradbeigi, Maryam & Law, Siong Hook, 2017. "The role of financial development in the oil-growth nexus," Resources Policy, Elsevier, vol. 53(C), pages 164-172.
    6. Ben-Salha, Ousama & Dachraoui, Hajer & Sebri, Maamar, 2021. "Natural resource rents and economic growth in the top resource-abundant countries: A PMG estimation," Resources Policy, Elsevier, vol. 74(C).
    7. Aladejare, Samson Adeniyi, 2022. "Natural resource rents, globalisation and environmental degradation: New insight from 5 richest African economies," Resources Policy, Elsevier, vol. 78(C).
    8. Francois, John Nana & Ahmad, Nazneen & Keinsley, Andrew & Nti-Addae, Akwasi, 2022. "Heterogeneity in the long-run remittance-output relationship: Theory and new evidence," Economic Modelling, Elsevier, vol. 110(C).
    9. 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.
    10. 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.
    11. Frederick van der Ploeg, 2011. "Natural Resources: Curse or Blessing?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 366-420, June.
    12. Phuc Canh, Nguyen & Trung Thong, Nguyen, 2020. "Nexus between financialisation and natural resources rents: Empirical evidence in a global sample," Resources Policy, Elsevier, vol. 66(C).
    13. Collier, Paul & Goderis, Benedikt, 2008. "Commodity Prices, Growth, and the Natural Resource Curse: Reconciling a Conundrum," MPRA Paper 17315, University Library of Munich, Germany.
    14. Tarik Dogru & Umit Bulut & Ercan Sirakaya-Turk, 2021. "Modeling tourism demand: Theoretical and empirical considerations for future research," Tourism Economics, , vol. 27(4), pages 874-889, June.
    15. 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.
    16. Qamruzzaman, Md, 2022. "Nexus between renewable energy, foreign direct investment, and agro-productivity: The mediating role of carbon emission," Renewable Energy, Elsevier, vol. 184(C), pages 526-540.
    17. KAFANDO, Namalguebzanga, 2014. "L'industrialisation de l'Afrique: l'importance des facteurs structurels et du régime de change [The industrialization of Africa: the importance of structural factors and exchange rate regime]," MPRA Paper 68736, University Library of Munich, Germany.
    18. 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, 02.

    More about this item

    Keywords

    Dutch disease; Oil rents; Agriculture value added; Middle East and North African countries;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • N55 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - Asia including Middle East
    • N57 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - Africa; Oceania
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa

    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:eneeco:v:45:y:2014:i:c:p:485-490. 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/eneco .

    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.