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Threshold regressions for the resource curse

Published online by Cambridge University Press:  10 August 2020

Nicolas Clootens Open the ORCID record for Nicolas Clootens [Opens in a new window]  and
Djamel Kirat
Nicolas Clootens*
Affiliation:
AMSE, Aix-Marseille University, CNRS, EHESS, Centrale Marseille, Marseille, France LEO, Université Orléans, CNRS, France
Djamel Kirat
Affiliation:
LEO, Université Orléans, CNRS, France
*
*Corresponding author. [email protected]
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Abstract

This paper analyzes the behavior of cross-country growth rates with respect to resource abundance and dependence. We reject the linear model that is commonly used in growth regressions in favor of a multiple-regime alternative. Using a formal sample-splitting method, we find that countries exhibit different behaviors with respect to natural resources depending on their initial level of development. In high-income countries, natural resources play only a minor role in explaining the differences in national growth rates. On the contrary, in low-income countries, abundance seems to be a blessing but dependence restricts growth.

Keywords

growthnatural resourcesresource cursethreshold regressions

JEL classification

O13: Agriculture • Natural Resources • Energy • Environment • Other Primary Products Q33: Resource Booms O11: Macroeconomic Analyses of Economic Development
Type
Research Article
Information
Environment and Development Economics , Volume 25 , Special Issue 6: The Environment, Resources and Pollution – New Challenges for Economic Development , December 2020 , pp. 583 - 610
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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References

Acemoglu, D, Johnson, S and Robinson, JA (2001) The colonial origins of comparative development: an empirical investigation. American Economic Review 91, 1369–1401.CrossRefGoogle Scholar
Ahamada, I and Kirat, D (2018) Non-linear pass-through of the CO2 emission-allowance price onto wholesale electricity prices. Environmental Modeling and Assessment 23, 497–510.CrossRefGoogle Scholar
Atkinson, G and Hamilton, K (2003) Savings, growth and the resource curse hypothesis. World Development 31, 1793–1807.CrossRefGoogle Scholar
Barro, RJ and Lee, JW (2013) A new data set of educational attainment in the world, 1950–2010. Journal of Development Economics 104, 184–198.CrossRefGoogle Scholar
Bohn, H and Deacon, RT (2000) Ownership risk, investment, and the use of natural re-sources. American Economic Review 90, 526–549.CrossRefGoogle Scholar
Bomsel, O (1992) The political economy of rent in mining countries. In Tilton, JE (ed), Mineral Wealth and Economic Development. Washington, DC: Resources for the Future, pp. 59–79.Google Scholar
Brunnschweiler, CN and Bulte, EH (2008) The resource curse revisited and revised: a tale of paradoxes and red herrings. Journal of Environmental Economics and Management 55, 248–264.CrossRefGoogle Scholar
Bruno, M and Sachs, J (1982) Energy and resource allocation: a dynamic model of the ‘Dutch disease’. Review of Economic Studies 49, 845–859.CrossRefGoogle Scholar
Caner, M and Hansen, BE (2004) Instrumental variable estimation of a threshold model. Econometric Theory 20, 813–843.CrossRefGoogle Scholar
Clootens, N and Kirat, D (2017) A reappraisal of the resource curse. Economics Bulletin 37, 12–18.Google Scholar
Corden, WM (1984) Booming sector and Dutch disease economics: survey and consolidation. Oxford Economic Papers 36, 359–380.CrossRefGoogle Scholar
Crosby, AW (2004) Ecological Imperialism: The Biological Expansion of Europe, 900-1900. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Daniel, P (1992) Economic policy in mineral-exporting countries: what have we learned?. In Tilton, JE (ed), Mineral Wealth and Economic Development. Washington, DC: Resources for the Future, pp. 81–121.Google Scholar
Davis, GA and Tilton, JE (2005) The resource curse. Natural Resources Forum 29, 233–242.CrossRefGoogle Scholar
Durlauf, SN and Johnson, PA (1995) Multiple regimes and cross-country growth behaviour. Journal of Applied Econometrics 10, 365–384.CrossRefGoogle Scholar
Feenstra, RC, Inklaar, R and Timmer, MP (2015) The next generation of the Penn World Table. American Economic Review 105, 3150–3182.CrossRefGoogle Scholar
Frankel, JA and Romer, DH (1999) Does trade cause growth?. American Economic Review 89, 379–399.CrossRefGoogle Scholar
Glaeser, EL, La Porta, R, Lopez De Silanes, F and Shleifer, A (2004) Do institutions cause growth?. Journal of Economic Growth 9, 271–303.CrossRefGoogle Scholar
Gylfason, T (2001) Natural resources, education, and economic development. European Economic Review 45, 847–859.CrossRefGoogle Scholar
Haber, S and Menaldo, V (2011) Do natural resources fuel authoritarianism? A reappraisal of the resource curse. American Political Science Review 105, 1–26.CrossRefGoogle Scholar
Hall, RE and Jones, CI (1999) Why do some countries produce so much more output per worker than others?. Quarterly Journal of Economics 114, 83–116.CrossRefGoogle Scholar
Hansen, BE (1996) Inference when a nuisance parameter is not identified under the null hypothesis. Econometrica 64, 413–430.CrossRefGoogle Scholar
Hansen, BE (2000) Sample splitting and threshold estimation. Econometrica 68, 575–603.CrossRefGoogle Scholar
Humphreys, M, Sachs, J and Stiglitz, JE (2007) Escaping the Resource Curse. NY, New York: Columbia University Press.Google Scholar
James, A (2015) The resource curse: a statistical mirage?. Journal of Development Economics 114, 55–63.CrossRefGoogle Scholar
Karl, TL (1999) The perils of the petro-state: reflections on the paradox of plenty. Journal of International Affairs 53, 31–48.Google Scholar
Kaufmann, D, Kraay, A and Mastruzzi, M (2009) Governance matters VIII: aggregate and individual governance indicators, 1996–2008. Policy Research Working Paper 4978. Washington, DC: The World Bank.CrossRefGoogle Scholar
Kaufmann, D, Kraay, A and Mastruzzi, M (2011) The worldwide governance indicators: methodology and analytical issues. Hague Journal on the Rule of Law 3, 220–246.CrossRefGoogle Scholar
Konte, M (2013) A curse or a blessing? Natural resources in a multiple growth regimes analysis. Applied Economics 45, 3760–3769.CrossRefGoogle Scholar
Krugman, P (1987) The narrow moving band, the Dutch disease, and the competitive consequences of Mrs. Thatcher: notes on trade in the presence of dynamic scale economies. Journal of Development Economics 27, 41–55.CrossRefGoogle Scholar
Lange, GM, Hamilton, K, Ruta, G, Chakraborti, L, Desai, D, Edens, B, Ferreira, S, Fraumeni, B, Jarvis, M, Kingsmill, W and Li, H (2010) The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium. DC, Washington: The World Bank.Google Scholar
Lange, GM, Wodon, Q and Carey, K (2018) The Changing Wealth of Nations 2018: Building a Sustainable Future. Washington, DC: The World Bank.CrossRefGoogle Scholar
La Porta, R, Lopez De Silanes, F, Shleifer, A and Vishny, R (1999) The quality of government. Journal of Law, Economics, and Organization 15, 222–279.CrossRefGoogle Scholar
Leamer, EE (1984) Sources of International Comparative Advantage: Theory and Evidence. MA, Cambridge: MIT Press.Google Scholar
Lederman, D and Maloney, WF (2006) Natural Resources, neither Curse nor Destiny. DC, Washington: TheWorld Bank.10.1596/978-0-8213-6545-8CrossRefGoogle Scholar
Lederman, D and Maloney, WF (2008) In Search of the Missing Resource Curse. Washington, DC: The World Bank.10.1596/1813-9450-4766CrossRefGoogle Scholar
Matsen, E and Torvik, R (2005) Optimal Dutch disease. Journal of Development Economics 78, 494–515.CrossRefGoogle Scholar
Papyrakis, E and Gerlagh, R (2004) The resource curse hypothesis and its transmission channels. Journal of Comparative Economics 32, 181–193.CrossRefGoogle Scholar
Persson, T and Tabellini, G (2004) Constitutional rules and fiscal policy outcomes. American Economic Review 94, 25–45.10.1257/000282804322970689CrossRefGoogle Scholar
Rodrik, D, Subramanian, A and Trebbi, F (2004) Institutions rule: the primacy of institutions over geography and integration in economic development. Journal of Economic Growth 9, 131–165.10.1023/B:JOEG.0000031425.72248.85CrossRefGoogle Scholar
Ross, ML (1999) The political economy of the resource curse. World Politics 51, 297–322.CrossRefGoogle Scholar
Sachs, JD and Warner, AM (1995) Natural resource abundance and economic growth. NBER Working Paper No. 5398. Cambridge, MA: National Bureau of Economic Research.CrossRefGoogle Scholar
Sachs, JD and Warner, AM (1999) The big push, natural resource booms and growth. Journal of Development Economics 59, 43–76.CrossRefGoogle Scholar
Sachs, JD and Warner, AM (2001) The curse of natural resources. European Economic Review 45, 827–838.CrossRefGoogle Scholar
Sala-i Martin, X and Subramanian, A (2008) Addressing the natural resource curse: an illustration from Nigeria. In Collier, P, Soludo, CC and Pattillo, C (eds), Economic Policy Options for a Prosperous Nigeria. London: Palgrave Macmillan, pp. 61–92.CrossRefGoogle Scholar
Stijns, JP (2006) Natural resource abundance and human capital accumulation. World Development 34, 1060–1083.CrossRefGoogle Scholar
Torvik, R (2001) Learning by doing and the Dutch disease. European Economic Review 45, 285–306.CrossRefGoogle Scholar
van der Ploeg, F (2011) Natural resources: curse or blessing?. Journal of Economic Literature 49, 366–420.CrossRefGoogle Scholar
van der Ploeg, F and Poelhekke, S (2009) Volatility and the natural resource curse. Oxford Economic Papers 61, 727–760.CrossRefGoogle Scholar
van der Ploeg, F and Poelhekke, S (2010) The pungent smell of ‘red herrings’: subsoil assets, rents, volatility and the resource curse. Journal of Environmental Economics and Management 60, 44–55.CrossRefGoogle Scholar
Yu, P (2013) Inconsistency of 2SLS estimators in threshold regression with endogeneity. Economics Letters 120, 532–536.CrossRefGoogle Scholar
Yu, P and Phillips, PC (2018) Threshold regression with endogeneity. Journal of Econometrics 203, 50–68.CrossRefGoogle Scholar