Open Access
Issue
BIO Web Conf.
Volume 123, 2024
The 1st International Seminar on Tropical Bioresources Advancement and Technology (ISOTOBAT 2024)
Article Number 03009
Number of page(s) 12
Section Socio-economics and Business Transformation in Tropical Bioresources
DOI https://doi.org/10.1051/bioconf/202412303009
Published online 30 August 2024
  • A. Kakanov, A. Blöchliger, M. Demmou, Resource curse in Oil-Exporting Countries. OECD Working Papers 59, 1-36 (2018). [Google Scholar]
  • M. Arezki, F. van der Ploeg, Do Natural Resources Depress Income Per Capita? Review of Development Economics 15, 504-521 (2011). [CrossRef] [Google Scholar]
  • J.D. Sachs, A.M. Warner, Natural resource abundance and economic growth. NBER Working Paper Series 5398, 1-54 (1995). [Google Scholar]
  • R.A. Easterlin, J.M. O'Connor, The Easterlin Paradox. IZA Institute of Labor Economics Discussion Paper 13923, 1-42 (2020). [Google Scholar]
  • T. Gylfason, G. Zoega, Natural Resources and Economic Growth: The Role of Investment. Economic Policy Research Unit (EPRU) University of Copenhagen, 1-43 (2001). [Google Scholar]
  • R. Repetto, A. Magar, J. Chao, Wasting Assets: Natural Resources in the National Income Accounts. World Resources Institute, 1-75 (1989). [Google Scholar]
  • E.R. Larsen, Escaping the Resource Curse and the Dutch Disease? When and Why Norway Caught up with and Forged Ahead of Its Neighbors. The American Journal of Economics and Sociology 65, 605-640 (2006). [CrossRef] [Google Scholar]
  • S.O. Lauvsnes, Dutch disease in the Norwegian agricultural sector. Review of Agricultural, Food and Environmental Studies 102, 25-57 (2021). [CrossRef] [Google Scholar]
  • K.A. Mork, The Long Norwegian Boom: Dutch Disease After All? The Energy Journal 43, 133-156 (2022). [CrossRef] [Google Scholar]
  • OECD, Natural Resources and Pro-Poor Growth: The Economics and Politics. In Natural Resources and Pro-Poor Growth: The Economics and Politics, 1-170 (2009). [Google Scholar]
  • Z. Zhang, Q. Wang, T. Tian, Y. Yang, Volatility in natural resources, economic performance, and public policy quality: Evidence from COVID-19. Resources Policy, 76, (2022). [Google Scholar]
  • T.V V de Cavalcanti, K. Mohaddes, M. Raissi Commodity Price Volatility and the Sources of Growth. IMF Working Paper 12, 1-45 (2011). [Google Scholar]
  • S. Ali, S. Murshed, E. Papyrakis, Happiness and the Resource Curse. Journal of Happiness Studies, 1-28 (2019). [Google Scholar]
  • D. Mignamissi, K. Flora Yselle, Resource rents and happiness on a global perspective: The resource curse revisited. Resources Policy, 1-11 (2021). [Google Scholar]
  • S. Dizaji, F. Dehaghami, H. Sadeghi, The effects of Natural Resources Rents and Good Governance on Happiness in Selected Countries: A Generalized Method of Moments approach. Quarterly Journal of Quantitative Economics 20, 1-31 (2023). [Google Scholar]
  • R. Di John. The 'Resource Curse': Theory and Evidence (ARI). Real Instituto Elcano, 18 (2010). [Google Scholar]
  • A. Acheampong, J. Dzator, M. Abunyewah, M. Erdiaw-Kwasie, E. Opoku. Sub-Saharan Africa's Tragedy: Resource Curse, Democracy and Income Inequality. Social Indicators Research, 168, 471-509 (2023). [CrossRef] [Google Scholar]
  • M. Dauvin, D. Guerreiro, The Paradox of Plenty: A Meta-Analysis. World Development 94, 212-231 (2017). [CrossRef] [Google Scholar]
  • R.A. Easterlin, Will raising the incomes of all increase the happiness of all? Journal of Economic Behavior & Organization, 95-147 (1995). [Google Scholar]
  • G. Chomentauskas, K. Paulauskaite, Relationship between income, happiness, and life satisfaction: Evidence from Lithuania. Open Journals UGent, 1-19 (2020). [Google Scholar]
  • SolAbility, Natural Capital Index (NCI). SolAbility (2024). [Google Scholar]
  • World Bank, Gross National Income (GNI) data: Purchasing Power Parity (PPP) adjustments. World Bank Data (2024). [Google Scholar]
  • Sustainable Development Solutions Network, Sustainable Development Solutions Network (SDSN) Tracks the World's Happiness (2024). [Google Scholar]
  • G. Di Leo, F. Sardanelli, Statistical significance: p value, 0.05 threshold, and applications to radiomics-reasons for a conservative approach. European Radiology Experimental 18, 1-8. [Google Scholar]
  • Colorado University, Simple Linear Regression.. Applied Mathematics (2024). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.