Skip to main content Accessibility help
×
Hostname: page-component-8448b6f56d-c47g7 Total loading time: 0 Render date: 2024-04-23T19:54:08.464Z Has data issue: false hasContentIssue false

7 - Resource Rents, Political Institutions and Economic Growth*

Published online by Cambridge University Press:  05 July 2016

Ibrahim Elbadawi
Affiliation:
Dubai Economic Council and Economic Research Forum (ERF), Egypt
Hoda Selim
Affiliation:
Economic Research Forum (ERF), Egypt
Get access

Summary

Abstract

This paper contributes to the empirical literature on oil and other point-source resource curse. We find that the curse does exist but conditional on bad political governance. Unlike previous studies, we estimate a flexible econometric growth model that accounts for long-term country heterogeneity and cross-dependency and retains the virtues of the recent literature, including short-run flexibility, cointegration and error-correction mechanisms. We unpack political institutions into those reflecting the degree of inclusiveness (Polity) and credibility of intertemporal commitments (political check and balances) and find that resource-rich countries with low levels on both scores are likely to experience the curse, while those with high enough levels may turn resource rents into a driver of growth. Countries with high scores on only one dimension may avoid the curse but are not likely to effectively use resource rents to promote growth. This suggests that for the oil-rich Arab World to achieve sustained growth, not only democracy is a necessary condition but also the creation of a strong system of political checks and balances.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2016

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aguirre, A. and Calderon, C. (2005). Real Exchange Rate Misalignments and Economic Performance. Central Bank of Chile Working Paper No. 315.Google Scholar
Arellano, M. and Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. The Review of Economic Studies 58(2): 277297.CrossRefGoogle Scholar
Arellano, M. and Bover, O. (1995). Another Look at the Instrumental Variable Estimation of Error-components Models. Journal of Econometrics 68(1): 2951.CrossRefGoogle Scholar
Arezki, R., Hamilton, K. and Kazimov, K.. (2011). Resource Windfalls, Macroeconomic Stability and Growth: The Role of Political Institutions. IMF Working paper WP/11/142, International Monetary Fund, Washington DC.CrossRefGoogle Scholar
Arezki, R. and Van der Ploeg, F. (2008). Can the Natural Resource Curse be Turned into a Blessing? Role of Trade Policies and Institutions. IMF Working Paper 07/55, International Monetary Fund, Washington, DC.Google Scholar
Bai, J. (2009). Panel Data Models With Interactive Fixed Effects. Econometrica 77: 12291279.Google Scholar
Bai, J., Kao, C. and Ng, S. (2009). Panel Cointegration with Global Stochastic Trends. Journal of Econometrics 149(1): 8299.Google Scholar
Barma, N., Kaiser, K., Le, T. M. and Viñuela, L. (2011). Rents to Riches? The Political Economy of Natural Resource Led Development. Washington, DC: World Bank Press.Google Scholar
Barro, R. (1991). Economic Growth in a Cross Section of Countries. Quarterly Journal of Economics 56(2): 407443.CrossRefGoogle Scholar
Barro, R. J. and Lee, J. W. (2011). A New Data Set of Educational Attainment in the World 1950–2010. NBER Working Paper No. 15902.Google Scholar
Bhattacharyya, S. and Hodler, R. (2010). Natural Resources, Democracy and Corruption. European Economic Review 54(4): 608621.CrossRefGoogle Scholar
Bigsten, A., Collier, P., Dercon, S., Fafchamps, M., Gauthier, B., Gunning, J. W., Oduro, A., Oostendorp, R., Pattillo, C., Soderbom, M., Teal, F. and Zeufack, A. (2002). Do African Manufacturing Firms Learn from Exporting? Working Paper WPS/2002-09. Centre for the Study of African Economies, Oxford, UK.Google Scholar
Budina, N. and van Wijnbergen, S. (2008). Managing Oil Revenue Volatility in Nigeria: The Role of Fiscal Policy. Chapter 10 in Africa at Turning Point? Go, D. and Page, J. (eds). Washington. D.C.: World Bank.Google Scholar
Canning, D., Fay, M. and Perotti, R. (1994). Infrastructure and Growth. In International Differences in Growth Rates, Baldassarri, M., Paganetto, L. and Phelps, E., (eds). Rome: St. Martin’s Press.Google Scholar
Chinn, M. and Ito, H. (2008). A New Measure of Financial Openness. Journal of Comparative Policy Analysis 10(3):307320.Google Scholar
Collier, P. and Hoeffler, A. (2009). Testing the Neocon Agenda: Democracy in Resource-rich Societies. European Economic Review 53(3): 293308.CrossRefGoogle Scholar
Collier, P., van der Ploeg, F.; Apence, M. and Venables, A.J. (2009). Managing Resource Revenues in Developing Economies. OxCarre Research Paper 15, University of Oxford.Google Scholar
Corden, W. M. and Neary, J. P. (1982). Booming Sector and De-Industrialization in a Small Open Economy. The Economic Journal 92 (368): 825848.Google Scholar
Collier, P. and Goderis, B.. (2009). Structural Policies for Shock-prone Developing Countries. CSAE Working Paper No. 2009-03, Department of Economics, University of Oxford.Google Scholar
Corden, W. M. (1982). Exchange Rate Policy and the Resource Boom. Economic Record 58(160): 1831.CrossRefGoogle Scholar
Debrun, X. and Kumar, M. S. (2007). The Discipline-Enhancing Role of Fiscal Institutions: Theory and Empirical Evidence. IMF Working Papers 07/171, International Monetary Fund.CrossRefGoogle Scholar
Dollar, D. (1992). Outward-oriented Developing Economies Really Do Grow More Rapidly: Evidence from 95 LDCs, 1976–1985. Economic Development and Cultural Change 40(3): 523–44.Google Scholar
Durlauf, S. N., Johnson, P. A, and Temple, J. (2005). Growth Econometrics. In, Handbook of Economic Growth, volume 1, Aghion, P. and Durlauf, S. (ed.), chapter 8, pp. 555677. Amsterdam, The Netherlands: Elsevier.Google Scholar
Easterly, W., et al. (1993). Good Policy or Good Luck? Country Growth Performance and Temporary Shocks. Journal of Monetary Economics 32(3): 459–83.CrossRefGoogle Scholar
Eberhardt, M. and Teal, F. (2011). Econometrics for Grumblers: A New Look at the Literature on Cross‐Country Growth Empirics. Journal of Economic Surveys 25(1): 109155.Google Scholar
Elbadawi, I., Kaltani, L. and Soto, R. (2012). Aid, Real Exchange Rate Misalignment and Growth in Sub-Saharan Africa. World development (forthcoming).CrossRefGoogle Scholar
Elbadawi, I. (2005). The Politics of Sustaining Growth in the Arab World: Getting Democracy Right. Working Paper Series No. 2, 2004, American University of Beirut Institute of Financial Economics.Google Scholar
Elbadawi, I. and Gelb, A.. (2010). Oil and Economic Diversification in the Arab World. Policy Research Report No. 35, December 2010, Economic Research Forum, Cairo, Egypt.Google Scholar
Elbadawi, I. and Soto, R. (2008). Theory and Empirics of Real Exchange Rates in Developing Countries. Unpublished mimeo, Development Economic Research Group, World Bank, November.Google Scholar
Fischer, S. (1993). The Role of Macroeconomic Factors in Growth. Journal of Monetary Economics 32(3): 485511.CrossRefGoogle Scholar
Gelb, A. (1988). Oil Windfalls: Blessing or Curse? Washington DC.: Oxford University Press.Google Scholar
Gelb, A. and Grasmann, S. (2008). Confronting the Oil Curse. Unpublished mimeo, The World Bank, Washington DC.Google Scholar
Gylfason, T. (2011). Natural Resources Endowment: A Mixed Blessing? CESifo Working Paper No. 3353.Google Scholar
Gylfason, T., Herbertsson, T. T. and Zoega, G. (1999). A Mixed Blessing. Macroeconomic Dynamics 3(2): 204225.Google Scholar
Hausmann, R. (2001). Venezuela’s Growth Implosion: A Neo-classical Story? In In Search of Prosperity: Analytic Narratives on Economic Growth, Rodrik, D. (ed.). Princeton, NJ: Princeton University Press.Google Scholar
Hausmann, R. and Rigobon, R. (2003). An Alternative Interpretation of the ‘Resource Curse: Theory and Policy Implications. NBER Working Paper No. 9424.Google Scholar
Humphreys, M., Sachs, J.D. and Stiglitz, J.E. (2007). Escaping the Resource Curse. New York: Columbia University Press.Google Scholar
Henisz, W. and Zelner, B. A. (2010). Measures of Political Risk Database. Georgetown University: The McDonough School of Business.Google Scholar
Henisz, W. (2010). Political Constraint Index (POLCON) Dataset, accessed from www-management.wharton.upenn.edu/henisz/. on April 6, 2013.Google Scholar
Islam, N. (1995). Growth Empirics: A Panel Data Approach. Quarterly Journal of Economics 110(4): 11271170.CrossRefGoogle Scholar
Kapetanios, G., Pesaran, M. H. and Yamagata, T. (2011). Panels with Non-Stationary Multifactor Error Structures. Journal of Econometrics 160(2): 326348.CrossRefGoogle Scholar
Korhonen, I. and Juurikkala, T. (2007). Equilibrium Exchange Rates in Oil-Dependent Countries. BOFIT Discussion Papers 8/2007, Bank of Finland, Institute for Economies in Transition.CrossRefGoogle Scholar
Lane, P. R. and Tornell, A. (1996). Power, Growth, and the Voracity Effect. Journal of Economic Growth 1: 213241.CrossRefGoogle Scholar
Levine, R., Loayza, N. and Beck, T. (2000). Financial Intermediation and Growth: Causality and Causes. Journal of Monetary Economics 46(1): 3177.CrossRefGoogle Scholar
Li, G. (1985). Robust Regression. In Exploring Data Tables, Trends, and Shapes, Hoaglin, D. C., Mosteller, F., and Tukey, J. W. (eds), 281340. New York: Wiley.Google Scholar
Loayza, N. and Soto, R. (2002). Economic Growth. Sources, Trends, and Cycles. Banco Central de Chile: Santiago de Chile.Google Scholar
Maloney, W. and Lederman, D. (2008). In Search of the Missing Resource Curse. Unpublished mimeo, The World Bank, Washington DC.Google Scholar
Maloney, W. and Lederman, D. (2007). Trade Structure and Growth. In Natural Resources: Neither Curse nor Destiny, Maloney, W. and Lederman, D. (eds.) pp. 1540. Stanford, California: Stanford University Press for the World Bank.Google Scholar
Matsen, E. and Torvik, R. (2005). Optimal Dutch Disease. Journal of Development Economics 78(2): 494515.Google Scholar
Matsuyama, K. (1992). Agricultural Productivity, Comparative Advantage, and Economic Growth. Journal of Economic Theory 58(2): 317334.CrossRefGoogle Scholar
Mehlum, H., Moene, K. and Torvik, R. (2006). Institutions and the Resource Curse. The Economic Journal 116: 120.Google Scholar
Neary, J. P. and van Wijnbergen, S. J. G. (1986). Natural Resources and the Macroeconomy. Cambridge, MA: MIT Press.Google Scholar
Pesaran, M. H. (2006). Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure. Econometrica 74(4): 9671012.CrossRefGoogle Scholar
Robinson, J. A., Torvik, R. and Verdier, T. (2006). Political Foundations of the Resource Curse. Journal of Development Economics 79: 447468.Google Scholar
Robinson, J. A. and Torvik, R. (2005). White Elephants. Journal of Public Economics 89: 157566.Google Scholar
Rodrik, D. (1999). Where Did All The Growth Go? External Shocks, Social Conflict and Growth Collapses. Journal of Economic Growth 4(4): 385412.CrossRefGoogle Scholar
Rodrik, D. (2007). Why Does the Real Exchange Rate Matter to Growth? Unpublished mimeo, Kennedy School of Government, Harvard University.Google Scholar
Rodrik, D. (2008). The Real Exchange Rate and Economic Growth. Mimeo, Kennedy School of Government, Harvard University.Google Scholar
Ross, M., Kaiser, K. and Mazaheri, N.. (2011).The Resource Curse in MENA: Political Transitions, Resource Wealth, Economic Shocks and Conflict Risks. Policy Research Working paper 5742, World Bank, Washington DC.CrossRefGoogle Scholar
Sachs, D. J. (2007). How to Handle the Macroeconomics of Oil Wealth. In Escaping the Resource Curse, Humphreys, M., Sachs, J. D. and Stiglitz, J. E. (eds.), pp. 173193. New York: Columbia University Press.Google Scholar
Sachs, J. and Warner, A. (1995). Natural Resource Abundance and Economic Growth. NBER Working Paper 5398. Cambridge, MA.Google Scholar
Stiglitz, J. E. (2007). What is the Role of the State? In Escaping the Resource Curse, Humphreys, M., Sachs, J. D. and Stiglitz, J. E. (eds.), pp. 2352. New York : Columbia University Press.Google Scholar
Westerlund, J. and Edgerton, D.L. (2008). A Simple Test for Cointegration in Dependent Panels with Structural Breaks. Oxford Bulletin of Economics and Statistics 70(5): 665704.CrossRefGoogle Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×