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Natural resource rents and capital accumulation nexus: do resource rents raise public human and physical capital expenditures?

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Abstract

This paper examines the effects of total, mineral, natural gas, and oil rents on the public total, education, health, and infrastructure expenditures using the dynamic panel estimation methods and data for more than 100 countries for the 1980–2015 period. Our results indicate that total resource rents do not have a significant impact on the public total and infrastructure expenditures. However, they provide a robust evidence for the adverse effect of resource rents on the public education and health expenditures. Our results lend a substantial evidence for the conclusion that the notorious resource curse can be also explained by its adverse effect on the human capital accumulation. We then test whether the democracy level matters in investigating the effects of resource rents on the public expenditures. Interestingly, we find that total resource rents exert a negative impact on the education expenditures only in autocratic countries. These results clearly indicate that policy makers should take necessary steps to remove the adverse effects of resource rents on the public education and health expenditures to increase human capital formation.

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Notes

  1. Note that Judson and Owen (1999) strongly support a one-step system GMM especially for unbalanced panels when time dimension is small, which is the case for our sample. We then re-estimate all of the estimates in Tables 2, 3, 4, 5 andnn6 with one-step system GMM; these results are almost identical with two-step estimates. These estimates are not reported here, but available upon request.

  2. To investigate whether there exist any differences between developing and developed countries, we split our sample by income level and re-estimate our models. Since our results do not provide any robust evidence for the existence of a difference between developing and developed countries, we do not discuss and report these results for space considerations. These results are available upon request from the authors.

  3. We only report the results for the total rents. Because making a distinction between rent types do not provide any additional insight. These results are available from the authors.

  4. Although the estimated coefficient on the rent measure is significant at the last column of Table 6, we choose not to discuss this result because it is largely driven by a one single outlier country, Norway, which has very high total resource rents, over ten percent during the sample period. Excluding Norway from the sample renders the coefficient insignificant.

References

  • Acemoglu D, Jonhson S, Robinson J (2001) The colonial origins of comparative development: an empirical investigation. Am Econ Rev 91(5):1369–1401

    Article  Google Scholar 

  • Alesina A, Romain W (1998) Openness, country size and government. J Public Econ 69(3):305–321

    Article  Google Scholar 

  • Arezki R, Gylfason T (2013) Resource rents, democracy, corruption and conflict: evidence from sub-Saharan Africa. J Afr Econ 22(4):552–569

    Article  Google Scholar 

  • Atkinson G, Hamilton K (2003) Savings, growth and the resource curse hypothesis. World Dev 31(11):1793–1807

    Article  Google Scholar 

  • Auty RM (1993) Sustaining development in mineral economies: the resource curse thesis. Routledge, London

    Google Scholar 

  • Badeeb RA, Lean HH, Clark J (2017) The evolution of the natural resource curse thesis: a critical literature survey. Resources Policy 51:123–134

    Article  Google Scholar 

  • Baum CF, Schaffer ME, Stillman S (2003) Instrumental variables and GMM: estimation and testing. Stata J 3(1):1–31

    Article  Google Scholar 

  • Baum CF, Schaffer ME, Stillman S (2007) Enhanced routines for instrumental variables/generalized method of moments estimation and testing. Stata J 7(4):465–506

    Article  Google Scholar 

  • Bazzi S, Clemens MA (2013) Blunt instruments: avoiding common pitfalls in identifying the causes of economic growth. Am Econ J Macroecon 5(2):152–186

    Article  Google Scholar 

  • Behbudi D, Mamipour S, Karami A (2010) Natural resource abundance, human capital and economic growth in the petroleum exporting countries. J Econ Dev 35(3):81

    Article  Google Scholar 

  • Bhattacharyya S, Collier P (2013) Public capital in resource rich economies: is there a curse? Oxf Econ Pap 66(1):1–24

    Article  Google Scholar 

  • Bingxin Y, Magalhaes E, Benin S (2015) A database user manual for statistics on public expenditures for economic development (SPEED). International Food Policy Research Institute (IFPRI), Washington, DC. https://ebrary.ifpri.org/utils/getfile/collection/p15738coll2/id/129363/filename/129574.pdf

  • Birdsall N, Pinckney TC, Sabot R (2000) Natural resources, human capital, and Growth. In: Carnegie Endowment for International Peace Working Paper 9, Resource abundance and economic development 57

  • Blanco L, Grier R (2012) Natural resource dependence and the accumulation of physical and human capital in Latin America. Resour Policy 37(3):281–295

    Article  Google Scholar 

  • Butkiewicz JL, Yanikkaya H (2010) Minerals, institutions, openness, and growth: an empirical analysis. Land Econ 86(2):313–328

    Article  Google Scholar 

  • Cabrales A, Hauk E (2010) The quality of political institutions and the curse of natural resources. Econ J 121(551):58–88

    Article  Google Scholar 

  • Cameron PD, Stanley MC (2017) Oil, gas, and mining: a sourcebook for understanding the extractive industries (English). World Bank Group, Washington

    Chapter  Google Scholar 

  • Chang W-Y, Wei D (2019) Natural resources and infectious diseases: the case of malaria, 2000–2014. Soc Sci J 56:324–336

    Article  Google Scholar 

  • Cockx L, Francken N (2014) Extending the concept of the resource curse: natural resources and public spending on health. Ecol Econ 108:136–149

    Article  Google Scholar 

  • Cockx L, Francken N (2016) Natural resources: a curse on education spending? Energy Policy 92:394–408

    Article  Google Scholar 

  • Collier P, Hoeffler A (2005) Resource rents, governance, and conflict. J Conflict Resolut 49(4):625–633

    Article  Google Scholar 

  • Davis GA (1995) Learning to love the Dutch disease: evidence from the mineral economies. World Dev 23(10):1765–1779

    Article  Google Scholar 

  • De Soysa I, Gizelis T-I (2013) The natural resource curse and the spread of HIV/AIDS, 1990–2008. Soc Sci Med 77:90–96

    Article  Google Scholar 

  • Devarajan S (2019) How to use oil revenues efficiently. Institutions and macroeconomic policies in resource-rich arab economies: 218

    Chapter  Google Scholar 

  • Endrikat M (2017) Natural resource rents, autocracy and the composition of government spending, Joint Discussion Paper Series in Economics

  • Gylfason T (2001a) Natural resources, education, and economic development. Eur Econ Rev 45(4–6):847–859

    Article  Google Scholar 

  • Gylfason T (2001b) Nature, power and growth. Scot J Polit Econ 48(5):558–588

    Article  Google Scholar 

  • Gylfason T, Zoega G (2006) Natural resources and economic growth: the role of investment. World Econ 29(8):1091–1115

    Article  Google Scholar 

  • Isham J, Woolcock M, Pritchett L, Busby G (2005) The varieties of resource experience: natural resource export structures and the political economy of economic growth. World Bank Econ Rev 19(2):141–174

    Article  Google Scholar 

  • Judson RA, Owen AL (1999) Estimating dynamic panel data models: a guide for macroeconomists. Econ Lett 65:9–15

    Article  Google Scholar 

  • Karimu A, Adu G, Marbuah G, Mensah JT, Amuakwa-Mensah F (2017) Natural resource revenues and public investment in resource-rich economies in Sub-Saharan Africa. Rev Dev Econ 21(4):e107–e130

    Article  Google Scholar 

  • Kim D-H, Lin S-C (2017) Natural resources and economic development: new panel evidence. Environ Resour Econ 66(2):363–391

    Article  Google Scholar 

  • Marshall MG, Jaggers K (2005) Political regime characteristics and transitions, 1800–2003. Polity IV Project. Data from https://www.cidcm.umd.edu/inscr/polity/polreg.htm.

  • Matsuyama K (1992) Agricultural productivity, comparative advantage, and economic growth. J Econ Theory 58(2):317–334

    Article  Google Scholar 

  • Mehlum H, Moene K, Torvik R (2006) Institutions and the resource curse. Econ J 116(508):1–20

    Article  Google Scholar 

  • Mikesell RF (1997) Explaining the resource curse, with special reference to mineral-exporting countries. Resour Policy 23(4):191–199

    Article  Google Scholar 

  • Mushkin SJ (1962) Health as an investment. J Polit Econ 70(5, Part 2):129–157

    Article  Google Scholar 

  • Nickell S (1981) Biases in dynamic models with fixed effects. Econometrica 1417–1426

    Article  Google Scholar 

  • North DC (1991) Institutions. J Econ Perspect 5(1):97–112

    Article  Google Scholar 

  • Papyrakis E, Gerlagh R (2004) The resource curse hypothesis and its tranmission channels. J Comp Econ 32:181–193

    Article  Google Scholar 

  • Robinson JA, Torvik R, Verdier T (2006) Political foundations of the resource curse. J Dev Econ 79(2):447–468

    Article  Google Scholar 

  • Roodman D (2009) A note on the theme of too many instruments. Oxf Bull Econ Stat 71(1):135–158

    Article  Google Scholar 

  • Ross ML (2001) Does oil hinder democracy? World Polit 53(3):325–361

    Article  Google Scholar 

  • Sachs JD, Warner AM (1995) Natural resource abundance and economic growth. National Bureau of Economic Research, Working Paper No. 5398

  • Sachs JD, Warner AM (1997) Natural resource abundance and economic growth. Center for International Development and Harvard Institute for International Development

  • Sachs JD, Warner AM (2001) The curse of natural resources. Eur Econ Rev 45(4–6):827–838

    Article  Google Scholar 

  • Schultz TW (1961) Investment in human capital. Am Econ Rev 51(1):1–17

    Google Scholar 

  • Stijns J-P (2006) Natural resource abundance and human capital accumulation. World Dev 34(6):1060–1083

    Article  Google Scholar 

  • Tornell A, Lane PR (1999) The voracity effect. Am Econ Rev 89(1):22–46

    Article  Google Scholar 

  • Van der Ploeg F (2011) Natural resources: curse or blessing? J Econ Lit 49(2):366–420

    Article  Google Scholar 

  • Van der Ploeg F, Venables AJ (2011) Harnessing windfall revenues: optimal policies for resource-rich developing economies. Econ J 121(551):1–30

    Article  Google Scholar 

  • Windmeijer F (2005) A finite sample correction for the variance of linear efficient two-step GMM estimators. J Econometrics 126(1):25–51

    Article  Google Scholar 

  • World Bank (2018) World development ındicators. Available at https://datacatalog.worldbank.org/dataset/world-development-indicators. Accessed 6 Mar 2018

  • Yanıkkaya H, Turan T (2018) Curse or blessing? An empirical re-examination of natural resource-growth nexus. J Int Dev 30(8):1455–1473

    Article  Google Scholar 

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Turan, T., Yanıkkaya, H. Natural resource rents and capital accumulation nexus: do resource rents raise public human and physical capital expenditures?. Environ Econ Policy Stud 22, 449–466 (2020). https://doi.org/10.1007/s10018-020-00264-9

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