IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v50y2016icp289-291.html
   My bibliography  Save this article

Appraisal of natural resources rents and economic development

Author

Listed:
  • Jović, Srđan
  • Maksimović, Goran
  • Jovović, David

Abstract

Economic development could be analyzed according to different inputs. As the inputs natural resources rents should be consider for the investigation of the economic development. In this study 5 natural resources rents were investigated in order to determine which of the natural resource rent has the highest influence on the economic development. The economic development was analyzed based on gross domestic product (GDP). Soft computing method was used to perform the sensitivity analysis of the GDP according to the 5 natural resources rents. Coal rents, forest rents, mineral rents, natural gas rents and oil rents were used as the inputs. According to results, forest rents has the highest dominance on the GDP. In other words GDP has highest variation with small changes in the forest rents.

Suggested Citation

  • Jović, Srđan & Maksimović, Goran & Jovović, David, 2016. "Appraisal of natural resources rents and economic development," Resources Policy, Elsevier, vol. 50(C), pages 289-291.
    • Handle: RePEc:eee:jrpoli:v:50:y:2016:i:c:p:289-291
    DOI: 10.1016/j.resourpol.2016.10.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420716301787
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2016.10.012?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Havranek, Tomas & Horvath, Roman & Zeynalov, Ayaz, 2016. "Natural Resources and Economic Growth: A Meta-Analysis," World Development, Elsevier, vol. 88(C), pages 134-151.
    2. Edward Barbier, 2007. "Frontiers and sustainable economic development," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(1), pages 271-295, May.
    3. Castaño, María Soledad & Méndez, María Teresa & Galindo, Miguel Ángel, 2016. "The effect of public policies on entrepreneurial activity and economic growth," Journal of Business Research, Elsevier, vol. 69(11), pages 5280-5285.
    4. Kapetanios, George & Marcellino, Massimiliano & Papailias, Fotis, 2016. "Forecasting inflation and GDP growth using heuristic optimisation of information criteria and variable reduction methods," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 369-382.
    5. Roberto Camagni, 2016. "Urban development and control on urban land rents," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(3), pages 597-615, May.
    6. Tom Crowards, 1996. "Natural resource accounting," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 7(3), pages 213-241, April.
    7. Brown, Jason P. & Fitzgerald, Timothy & Weber, Jeremy G., 2016. "Capturing rents from natural resource abundance: Private royalties from U.S. onshore oil & gas production," Resource and Energy Economics, Elsevier, vol. 46(C), pages 23-38.
    8. Kahia, Montassar & Ben Aïssa, Mohamed Safouane & Charfeddine, Lanouar, 2016. "Impact of renewable and non-renewable energy consumption on economic growth: New evidence from the MENA Net Oil Exporting Countries (NOECs)," Energy, Elsevier, vol. 116(P1), pages 102-115.
    9. Natalia Merkina, 2009. "Technological catch-up or resource rents?," International Economics and Economic Policy, Springer, vol. 6(1), pages 59-82, June.
    10. Agustin Alonso-Rodriguez, 1999. "Forecasting economic magnitudes with neural network models," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 5(4), pages 496-511, November.
    11. Agustin Alonso-Rodriguez, 1999. "Forecasting economic magnitudes with neural network models," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 5(2), pages 215-230, May.
    12. Vining, Aidan R. & Richards, John, 2016. "Indigenous economic development in Canada: Confronting principal-agent and principal–principal problems to reduce resource rent dissipation," Resources Policy, Elsevier, vol. 49(C), pages 358-367.
    13. Modis, Theodore, 2013. "Long-term GDP forecasts and the prospects for growth," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1557-1562.
    14. Modis, Theodore, 2013. "Long-Term GDP Forecasts and the Prospects for Growth," OSF Preprints aqcht, Center for Open Science.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xie, Mingting & Irfan, Muhammad & Razzaq, Asif & Dagar, Vishal, 2022. "Forest and mineral volatility and economic performance: Evidence from frequency domain causality approach for global data," Resources Policy, Elsevier, vol. 76(C).
    2. Claudia Nyarko Mensah & Lamini Dauda & Kofi Baah Boamah & Muhammad Salman, 2021. "One district one factory policy of Ghana, a transition to a low-carbon habitable economy?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 703-721, January.
    3. Marc Audi & Amjad Ali & Yannick Roussel, 2021. "Aggregate and Disaggregate Natural Resources Agglomeration and Foreign Direct Investment in France," International Journal of Economics and Financial Issues, Econjournals, vol. 11(1), pages 147-156.
    4. Leiva, Benjamin, 2020. "Natural resource rent allocation, government quality, and concession design: The case of copper in Chile," Resources Policy, Elsevier, vol. 68(C).
    5. Wang, Zhongbao & Razzaq, Asif, 2022. "Natural resources, energy efficiency transition and sustainable development: Evidence from BRICS economies," Resources Policy, Elsevier, vol. 79(C).
    6. Muhammad Sohail Amjad Makhdum & Muhammad Usman & Rakhshanda Kousar & Javier Cifuentes-Faura & Magdalena Radulescu & Daniel Balsalobre-Lorente, 2022. "How Do Institutional Quality, Natural Resources, Renewable Energy, and Financial Development Reduce Ecological Footprint without Hindering Economic Growth Trajectory? Evidence from China," Sustainability, MDPI, vol. 14(21), pages 1-25, October.
    7. Ferreira, João J. & Gomes, Sofia & Lopes, João M. & Zhang, Justin Z., 2023. "Ticking time bombs: The MENA and SSA regions' geopolitical risks," Resources Policy, Elsevier, vol. 85(PA).
    8. Ali, Amjad & Zulfiqar, Kalsoom, 2018. "An Assessment of Association between Natural Resources Agglomeration and Unemployment in Pakistan," MPRA Paper 87968, University Library of Munich, Germany.
    9. Zhang, Bo & Zhao, Meiyu & Tu, Yongqian, 2023. "Sustainable development and resources extraction: A novel perspective for resources rich economies," Resources Policy, Elsevier, vol. 83(C).
    10. Yilanci, Veli & Aslan, Murat & Ozgur, Onder, 2021. "Disaggregated analysis of the curse of natural resources in most natural resource-abundant countries," Resources Policy, Elsevier, vol. 71(C).
    11. Dogan, Eyup & Altinoz, Buket & Tzeremes, Panayiotis, 2020. "The analysis of ‘Financial Resource Curse’ hypothesis for developed countries: Evidence from asymmetric effects with quantile regression," Resources Policy, Elsevier, vol. 68(C).
    12. Baz, Khan & Xu, Deyi & Cheng, Jinhua & Zhu, Yongguang & Huaping, Sun & Ali, Hashmat & Abbas, Khizar & Ali, Imad, 2022. "Effect of mineral resource complexity and fossil fuel consumption on economic growth: A new study based on the product complexity index from emerging Asian economies," Energy, Elsevier, vol. 261(PB).
    13. Huang, Yongming & Raza, Syed Muhammad Faraz & Hanif, Imran & Alharthi, Majed & Abbas, Qaiser & Zain-ul-Abidin, Syed, 2020. "The role of forest resources, mineral resources, and oil extraction in economic progress of developing Asian economies," Resources Policy, Elsevier, vol. 69(C).
    14. Zhang, Ziwei & Zhang, Chao, 2023. "Revisiting the importance of forest rents, oil rents, green growth in economic performance of China: Employing time series methods," Resources Policy, Elsevier, vol. 80(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maksimović, Goran & Jović, Srđan & Jovanović, Radomir, 2017. "Economic growth rate management by soft computing approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 520-524.
    2. Đokić, Aleksandar & Jović, Srđan, 2017. "Evaluation of agriculture and industry effect on economic health by ANFIS approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 396-399.
    3. Schlembach, Christoph & Schmidt, Sascha L. & Schreyer, Dominik & Wunderlich, Linus, 2022. "Forecasting the Olympic medal distribution – A socioeconomic machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    4. Petra Karanikić & Igor Mladenović & Svetlana Sokolov-Mladenović & Meysam Alizamir, 2017. "RETRACTED ARTICLE: Prediction of economic growth by extreme learning approach based on science and technology transfer," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1395-1401, May.
    5. Sinem Kilic Celik & M. Ayhan Kose & Franziska Ohnsorge, 2023. "Potential Growth Prospects: Risks, Rewards and Policies," CAMA Working Papers 2023-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    6. Cogoljević, Dušan & Alizamir, Meysam & Piljan, Ivan & Piljan, Tatjana & Prljić, Katarina & Zimonjić, Stefan, 2018. "A machine learning approach for predicting the relationship between energy resources and economic development," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 211-214.
    7. Igor Mladenović & Miloš Milovančević & Svetlana Sokolov-Mladenović, 2017. "RETRACTED ARTICLE: Analyzing of innovations influence on economic growth by fuzzy system," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1297-1304, May.
    8. de Groot, E.A. & Segers, R. & Prins, D., 2021. "Disentangling the enigma of multi-structured economic cycles - A new appearance of the golden ratio," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    9. Sokolov-Mladenović, Svetlana & Milovančević, Milos & Mladenović, Igor, 2017. "Evaluation of trade influence on economic growth rate by computational intelligence approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 358-362.
    10. Milačić, Ljubiša & Jović, Srđan & Vujović, Tanja & Miljković, Jovica, 2017. "Application of artificial neural network with extreme learning machine for economic growth estimation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 285-288.
    11. Kordanuli, Bojana & Barjaktarović, Lidija & Jeremić, Ljiljana & Alizamir, Meysam, 2017. "Appraisal of artificial neural network for forecasting of economic parameters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 515-519.
    12. Su, Yu-Shan & Huang, Hsini & Daim, Tugrul & Chien, Pan-Wei & Peng, Ru-Ling & Karaman Akgul, Arzu, 2023. "Assessing the technological trajectory of 5G-V2X autonomous driving inventions: Use of patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    13. Marković, Dušan & Petković, Dalibor & Nikolić, Vlastimir & Milovančević, Miloš & Petković, Biljana, 2017. "Soft computing prediction of economic growth based in science and technology factors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 217-220.
    14. Dušan Marković & Igor Mladenović & Miloš Milovančević, 2017. "RETRACTED ARTICLE: Estimation of the most influential science and technology factors for economic growth forecasting by soft computing technique," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1133-1146, May.
    15. Olivier Blanchard & Michael Kremer, 1997. "Disorganization," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(4), pages 1091-1126.
    16. Ishak, Phoebe W. & Gradstein, Mark, 2021. "We Don't Need No Education: The Effect of Persistent Income Shocks on Human Capital," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242368, Verein für Socialpolitik / German Economic Association.
    17. Stephen T. Onifade & Bright A. Gyamfi & Ilham Haouas & Simplice A. Asongu, 2023. "Extending the Frontiers of Financial Development for Sustainability of the MENA States: The Roles of Resource Abundance and Institutional Quality," Working Papers 23/055, European Xtramile Centre of African Studies (EXCAS).
    18. Ali, Abdul & Kelley, Donna J. & Levie, Jonathan, 2020. "Market-driven entrepreneurship and institutions," Journal of Business Research, Elsevier, vol. 113(C), pages 117-128.
    19. Cavicchia, Rebecca, 2023. "Housing accessibility in densifying cities: Entangled housing and land use policy limitations and insights from Oslo," Land Use Policy, Elsevier, vol. 127(C).
    20. Oguzhan Cepni & I. Ethem Guney & Norman R. Swanson, 2020. "Forecasting and nowcasting emerging market GDP growth rates: The role of latent global economic policy uncertainty and macroeconomic data surprise factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 18-36, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jrpoli:v:50:y:2016:i:c:p:289-291. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.