The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Dynamic interaction between financial development and natural resources: Evaluating the ‘Resource curse’ hypothesis
Abstract
Abstract The role of natural resources in promoting economic and financial activities is important for attaining country's economic growth. The study used different natural resource rents, domestic investment, trade openness, per capita income and their resulting impact on financial development in order to assess ‘financial resource curse’ hypothesis in Pakistan by using a consistent time series data from 1975 to 2017. The study employed ARDL-Bounds testing approach that is fairly worked under different order of integrated variables and displayed short- and long-run parameter estimates. Further, the study used VAR decomposition analysis to generate Impulse Response Function (IRF) and Variance Decomposition Analysis (VDA) to assessed forecasted variance and error shocks over a next 10 year time period. The results show that, in the short-run, initial level of forest rents and oil rents supported the ‘natural resource abundance’ hypothesis, as both the rents substantially increases country's financial development, however, in the long-run, there is a negative relationship of coal rents, forest rents, natural gas rents, and oil rents with domestic credit to private sector (DCPS), which confirmed the ‘natural curse hypothesis’ in a country. The domestic investment in the form of gross fixed capital formation (GFCF) largely supported the financial activities with all given resource rents in the models, while country's per capita income unable to signify its positive impact on DCPS under the resource curse environment during the study time period. The other results show that coal rents and oil rents decreases broad money supply whereas natural gas rents decreases market capitalization to validate ‘financial resource curse’ hypothesis in a country. The results of IRF and VDA approach confirmed the viability of both the competing natural resource theories (i.e., financial resource curse and financial resource blessing hypothesis) under financial development in the next 10 year time period.
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Citations
Cites
Bounds testing approaches to the analysis of level relationships
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001) · Journal of Applied Econometrics · doi:10.1002/jae.616 · Cited by 20,385
Awais, A. (2015) · Data Archiving and Networked Services (DANS) · doi:10.17632/zcvgc6m58h.1 · Cited by 6,707
Bekun, F. V., Alola, A. A., & Sarkodie, S. A. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.12.104 · Cited by 1,385
Asiedu, E. (2006) · The World Economy · doi:10.1111/j.1467-9701.2006.00758.x · Cited by 1,357
Environmental and social footprints of international trade
Wiedmann, T., & Lenzen, M. (2018) · Nature Geoscience · doi:10.1038/s41561-018-0113-9 · Cited by 986
Asymmetric causality tests with an application
Hatemi-J, A. (2012) · Empirical Economics · doi:10.1007/s00181-011-0484-x · Cited by 872
The resource curse hypothesis and its transmission channels
Papyrakis, E., & Gerlagh, R. (2004) · Journal of Comparative Economics · doi:10.1016/j.jce.2003.11.002 · Cited by 821
The evolution of the natural resource curse thesis: A critical literature survey
Badeeb, R. A., Lean, H. H., & Clark, J. (2017) · Resources Policy · doi:10.1016/j.resourpol.2016.10.015 · Cited by 793
Shahbaz, M., Khan, S., & Tahir, M. I. (2013) · Energy Economics · doi:10.1016/j.eneco.2013.06.006 · Cited by 753
Al-Mulali, U., Ozturk, I., & Lean, H. H. (2015) · Natural Hazards · doi:10.1007/s11069-015-1865-9 · Cited by 730
Cited by
Using Natural Resources for Development: Why Has It Proven So Difficult?
Venables, A. J. (2016) · Journal of Economic Perspectives · doi:10.1257/jep.30.1.161 · Cited by 634
Hsu, C.-C., Quang-Thanh, N., Chien, F., Li, L., & Mohsin, M. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-14499-w · Cited by 369
Guan, J., Kirikkaleli, D., Bibi, A., & Zhang, W. (2020) · Resources Policy · doi:10.1016/j.resourpol.2020.101641 · Cited by 269
Tang, C., Irfan, M., Razzaq, A., & Dagar, V. (2022) · Resources Policy · doi:10.1016/j.resourpol.2022.102612 · Cited by 268
Metadata
- Authors
- Asif, M., Khan, K. B., Anser, M. K., Nassani, A. A., Abro, M. M. Q., & Zaman, K.
- Venue
- Resources Policy
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 65
- Pages
- 101566
- ISSN
- 0301-4207 (ISSN-L)
- OpenAlex
- W2996954265
- Cited by
- 267
- References
- 45
- FWCI
- 57.00
- Type
- journal article
- Language
- en
- Open access
- closed
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