Oil Rents: A systematic review of the literature
Keywords:Bibliometrics; Networks; Oil Rents; Natural resource abundance.
Oil rents has an impact on the development mechanisms of countries. Considering the relevance of the topic, the objective of this study is to conduct a review of the literature on oil revenue, systematizing the established knowledge and research agendas. The sample used consists of 182 articles collected from Web of Science, in the period from 1978 to August 2020. The results indicate the growth of articles published from 2014, a period coinciding with the fall in oil prices, which impacted countries whose dynamic axis of the economy resides in this sector. Ten countries in terms of authors' nationality concentrate 58.24% of the authors of the articles on the topic. The article with the highest average citation per year is Regional Favoritism and Khalid Zaman was identified as the main author of the sample. The top scientific journals in terms of quantity of articles and impact factor are Resources Policy and Energy Economics, respectively. The author cocitation network indicated that the leading authors discuss the implications related to natural resource abundance. The co-occurrence network of keywords with the indication of incidence in recent periods, evidenced the direction of studies towards themes related to impacts on growth, the use of empirical methods for studies on the subject, discussion on the abundance, dependence and curse of natural resources, financing of development, the relationship between human capital and oil income, as well as themes related to the environment and sustainability.
Acemoglu, D., Johnson, S., & Robinson, J. A. (2001). The colonial origins of comparative development: An empirical investigation. American economic review, 91(5), 1369-1401.
Agência Nacional do Petróleo, Gás Natural e Biocombustíveis – ANP (2020). https://www.gov.br/anp/pt-br.
Andersen, J. J., & Ross, M. L. (2014). The big oil change: A closer look at the Haber–Menaldo analysis. Comparative Political Studies, 47(7), 993-1021.
Anser, M. K., Yousaf, Z., Zaman, K., Nassani, A. A., Alotaibi, S. M., Jambari, H., & Kabbani, A. (2020). Determination of resource curse hypothesis in mediation of financial development and clean energy sources: Go-for-green resource policies. Resources Policy, 66, 101640.
Auty, R. (2003). Natural resources and ‘gradual’reform in Uzbekistan and Turkmenistan. In Natural Resources Forum, 27, 255-266.
Auty, R. M. (Ed.). (2001). Resource abundance and economic development. Oxford University Press.
Aytaç, S. E., Mousseau, M., & Örsün, Ö. F. (2016). Why some countries are immune from the resource curse: The role of economic norms. Democratization, 23(1), 71-92.
Barbosa, J. S. K., & Reinert, M. (2014). Open Innovation: uma análise bibliométrica do período de 2003 a 2013. Anais do Encontro Nacional da Associação Nacional de Pós-Graduação e Pesquisa em Administração, 38.
BP (2020). Statistical Review of World Energy. https://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html.
Brunnschweiler, C. N., & Bulte, E. H. (2008). The resource curse revisited and revised: A tale of paradoxes and red herrings. Journal of environmental economics and management, 55(3), 248-264.
Chain, C. P., Santos, A. C. D., Castro, L. G. D., & Prado, J. W. D. (2019). Bibliometric analysis of the quantitative methods applied to the measurement of industrial clusters. Journal of Economic Surveys, 33(1), 60-84.
Collier, P., & Hoeffler, A. (2009). Testing the neocon agenda: Democracy in resource-rich societies. European Economic Review, 53(3), 293-308.
Cruz, B. D. O., & Ribeiro, M. B. (2009). Sobre Maldições e Bênçãos: é possível gerir recursos naturais de forma sustentável? Uma análise sobre os royalties e as compensações financeiras no Brasil.
De Mesquita, B. B., & Smith, A. (2008). Retesting selectorate theory: Separating the effects of W from other elements of democracy. American Political Science Review, 393-400.
De Mesquita, B. B., & Smith, A. (2010). Leader survival, revolutions, and the nature of government finance. American journal of political science, 54(4), 936-950.
Djankov, S., Montalvo, J. G., & Reynal-Querol, M. (2008). The curse of aid. Journal of economic growth, 13(3), 169-194.
do Prado, J. W., de Castro Alcântara, V., de Melo Carvalho, F., Vieira, K. C., Machado, L. K. C., & Tonelli, D. F. (2016). Multivariate analysis of credit risk and bankruptcy research data: a bibliometric study involving different knowledge fields (1968–2014). Scientometrics, 106(3), 1007-1029.
Farzanegan, M. R., & Thum, M. (2020). Does oil rents dependency reduce the quality of education? Empirical Economics, 58(4), 1863-1911.
Gylfason, T. (2001). Natural resources, education, and economic development. European economic review, 45(4-6), 847-859.
Hartwick, J. M. (1977). Intergenerational equity and the investing of rents from exhaustible resources. The american economic review, 67(5), 972-974.
Hassan, S. U., Haddawy, P., & Zhu, J. (2014). A bibliometric study of the world’s research activity in sustainable development and its sub-areas using scientific literature. Scientometrics, 99(2), 549-579.
Hodler, R., & Raschky, P. A. (2014). Regional favoritism. The Quarterly Journal of Economics, 129(2), 995-1033.
Hotelling, H. (1931). The economics of exhaustible resources. Journal of political Economy, 39(2), 137-175.
Humphreys, M., Sachs, J. D., Stiglitz, J. E., Soros, G., & Humphreys, M. (2007). Escaping the resource curse. Columbia University Press.
Instituto Brasileiro de Petróleo – IBP (2020). Observatório do Setor de Petróleo e Gás. https://www.ibp.org.br/observatorio-do-setor/.
International Energy Agency – IEA (2020). World Energy Outlook 2020. https://www.iea.org/reports/world-energy-outlook-2020.
Khan, M. M., Zaman, K., Irfan, D., Awan, U., Ali, G., Kyophilavong, P., & Naseem, I. (2016). Triangular relationship among energy consumption, air pollution and water resources in Pakistan. Journal of cleaner production, 112, 1375-1385.
Mehlum, H., Moene, K., & Torvik, R. (2006). Institutions and the resource curse. The economic journal, 116(508), 1-20.
Okada, K., & Samreth, S. (2017). Corruption and natural resource rents: evidence from quantile regression. Applied Economics Letters, 24(20), 1490-1493.
Ozturk, I. (2017). Measuring the impact of alternative and nuclear energy consumption, carbon dioxide emissions and oil rents on specific growth factors in the panel of Latin American countries. Progress in Nuclear Energy, 100, 71-81.
Pamplona, J. B., & Cacciamali, M. C. (2017). O paradoxo da abundância: recursos naturais e desenvolvimento na América Latina. Estudos Avançados, 31(89), 251-270.
Postali, F. A. S., & Nishijima, M. (2011). Distribuição das rendas do petróleo e indicadores de desenvolvimento municipal no Brasil nos anos 2000S. Estudos Econômicos (São Paulo), 41(2), 463-485.
Ramos‐Rodríguez, A. R., & Ruíz‐Navarro, J. (2004). Changes in the intellectual structure of strategic management research: A bibliometric study of the Strategic Management Journal, 1980–2000. Strategic management journal, 25(10), 981-1004.
REIS, C. D. B. (2012). Recursos naturais e desenvolvimento econômico: da especialização à diversificação produtiva e exportadora nos Seanic’s. 232f (Doctoral dissertation, Tese (Doutorado)–Universidade Federal do Rio de Janeiro).
Robinson, J. A., Torvik, R., & Verdier, T. (2006). Political foundations of the resource curse. Journal of development Economics, 79(2), 447-468.
Sachs, J. D. (2007). How to handle the macroeconomics of oil wealth. Escaping the resource curse, 180.
Shahbaz, M., Destek, M. A., Okumus, I., & Sinha, A. (2019). An empirical note on comparison between resource abundance and resource dependence in resource abundant countries. Resources Policy, 60, 47-55.
Thies, C. G. (2010). Of rulers, rebels, and revenue: State capacity, civil war onset, and primary commodities. Journal of peace research, 47(3), 321-332.
Udi, J., Bekun, F. V., & Adedoyin, F. F. (2020). Modeling the nexus between coal consumption, FDI inflow and economic expansion: does industrialization matter in South Africa? Environmental Science and Pollution Research, 1-12.
Van der Ploeg, F. (2011). Natural resources: curse or blessing? Journal of Economic literature, 49(2), 366-420.
Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. scientometrics, 84(2), 523-538.
Van Eck, N. J., & Waltman, L. (2014). Visualizing bibliometric networks. In Measuring scholarly impact (pp. 285-320). Springer, Cham.
Van Eck, N. J., Waltman, L., Dekker, R., & van den Berg, J. (2010). A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS. Journal of the American Society for Information Science and Technology, 61(12), 2405-2416.
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Copyright (c) 2021 Fernando Maciel; Marcelo Cruz; Vagner Vasconcelos; Bruno Ferreira de Oliveira; Alberto Eduardo Besser Freitag; Rodolfo Tomás da Fonseca Nicolay
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