The natural resources rents: Is economic complexity a solution for resource curse?

被引:101
作者
Nguyen Phuc Canh [1 ]
Schinckus, Christophe [2 ]
Su Dinh Thanh [3 ]
机构
[1] Univ Econ Ho Chi Minh City, Sch Banking, 59C Nguyen Dinh Chieu,Dist 3, Ho Chi Minh City, Vietnam
[2] Taylors Univ, Sch Accounting & Finance, Subang Jaya, Malaysia
[3] Univ Econ Ho Chi Minh City, Sch Publ Finance, 59C Nguyen Dinh Chieu,Dist 3, Ho Chi Minh City, Vietnam
关键词
Natural rents; Resource curse; Economic complexity; Environment protections; RESEARCH-AND-DEVELOPMENT; TECHNOLOGICAL COMPLEXITY; FINANCIAL DEVELOPMENT; INCOME INEQUALITY; CAPITAL FORMATION; CO2; EMISSIONS; GROWTH; INNOVATION; ENTREPRENEURSHIP; CONVERGENCE;
D O I
10.1016/j.resourpol.2020.101800
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study examines the influences of economic complexity on natural resources rents. A global sample of 90 economies decomposed into three subsamples including 27 Low and Lower-Middle Income Economies (LMEs), 22 Upper-Middle Income Economies (UMEs), and 41 High Income Economies (HIEs) are investigated over the period 2002-2017. Our analysis deals with the total natural resources rents (coal rents, mineral rents, natural gas rents, and forest rents) while our control variables refers to economic growth, FDI inflows, capital investment, government consumption, and demographic factor. Our empirical results show that the economic complexity has a light impact on total natural rents; these effects are documented with statistically significant evidence in LMEs and HIEs, while it is not in UMEs. Furthermore, the economic complexity appears to have reduced impacts on mineral rents, natural gas rents, but it likely increases coal rents. Finally, our study used two measures of the economic complexity (ECI, ECI+) which provided different results highlighting the methodological difference in the methods of measurement of these indices and calling for a more systematic measure of economic complexity.
引用
收藏
页数:12
相关论文
共 69 条
[1]   Resource rents, economic growth, and the role of institutional quality: A panel threshold analysis [J].
Abdulahi, Mohamued Elyas ;
Shu, Yang ;
Khan, Muhammad Asif .
RESOURCES POLICY, 2019, 61 :293-303
[2]   The role of country-level institutional factors in escaping the natural resource curse: Insights from Ghana [J].
Adams, Dawda ;
Ullah, Subhan ;
Akhtar, Pervaiz ;
Adams, Kweku ;
Saidi, Samir .
RESOURCES POLICY, 2019, 61 :433-440
[3]   Complexity analysis of Brazilian agriculture and energy market [J].
Albarracin, Eva Susana ;
Rodriguez Gamboa, Juan C. ;
Marques, Elaine C. M. ;
Stosic, Tatijana .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 523 :933-941
[4]   Taxation of natural resources and economic growth in Russia's regions [J].
Alexeev, Michael ;
Chernyavskiy, Andrey .
ECONOMIC SYSTEMS, 2015, 39 (02) :317-338
[5]   ANOTHER LOOK AT THE INSTRUMENTAL VARIABLE ESTIMATION OF ERROR-COMPONENTS MODELS [J].
ARELLANO, M ;
BOVER, O .
JOURNAL OF ECONOMETRICS, 1995, 68 (01) :29-51
[6]   Expenditure decentralization and natural resources [J].
Armey, Laura E. ;
McNab, Robert M. .
QUARTERLY REVIEW OF ECONOMICS AND FINANCE, 2018, 70 :52-61
[7]  
Bailey D, 2011, J STAT SOFTW, V42, P1
[8]   Natural resources and sovereign expropriation [J].
Baldursson, Fridrik Mar ;
von der Fehr, Nils-Henrik M. .
JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT, 2018, 92 :580-607
[9]   How economic growth, renewable electricity and natural resources contribute to CO2 emissions? [J].
Balsalobre-Lorente, Daniel ;
Shahbaz, Muhammad ;
Roubaud, David ;
Farhani, Sahbi .
ENERGY POLICY, 2018, 113 :356-367
[10]  
BARDHAN PK, 1965, REV ECON STUD, V32, P233