IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v76y2022ics0301420722000344.html
   My bibliography  Save this article

The copper production and economic growth nexus across the regional and global levels

Author

Listed:
  • Namahoro, Jean Pierre
  • Qiaosheng, Wu
  • Hui, Su

Abstract

This study examined the copper production and economic growth nexus across the countries with a higher copper production in the regional and global levels from 2002 to 2016. The testing framework (cross-sectional dependence, panel unit root, and cointegration tests) and panel common corrected effects mean group (CCEMG) and cross-sectionally augmented distributed lags (CS-DL) estimators were employed. The main findings showed that all selected variables are cross-sectionally dependent and integrated at the first order, which implies the existence of long-run cointegration relationships. Except in Africa and Middle-East, copper production significantly contributes to increasing economic growth across the regional and global levels. Moreover, a unidirectional causal relationship running from economic growth to copper production is detected in Africa and Middle-East, and North-America. This causal link is running from copper production to economic growth in Europe and Central-Asia and at the global level. A bidirectional causal link was detected in Asia-Pacific, while the neutral causal link was noted in South and Central America. This study suggested the potential policy implications to strengthen the link between copper production and growth with respect to labor and capital.

Suggested Citation

  • Namahoro, Jean Pierre & Qiaosheng, Wu & Hui, Su, 2022. "The copper production and economic growth nexus across the regional and global levels," Resources Policy, Elsevier, vol. 76(C).
  • Handle: RePEc:eee:jrpoli:v:76:y:2022:i:c:s0301420722000344
    DOI: 10.1016/j.resourpol.2022.102583
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420722000344
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2022.102583?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. Joakim Westerlund, 2008. "Panel cointegration tests of the Fisher effect," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 193-233.
    2. Huh, Kwang-Sook, 2011. "Steel consumption and economic growth in Korea: Long-term and short-term evidence," Resources Policy, Elsevier, vol. 36(2), pages 107-113, June.
    3. Westerlund, Joakim & Edgerton, David L., 2007. "A panel bootstrap cointegration test," Economics Letters, Elsevier, vol. 97(3), pages 185-190, December.
    4. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    5. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    6. Kapetanios, G. & Pesaran, M. Hashem & Yamagata, T., 2011. "Panels with non-stationary multifactor error structures," Journal of Econometrics, Elsevier, vol. 160(2), pages 326-348, February.
    7. Jaunky, Vishal Chandr, 2013. "A cointegration and causality analysis of copper consumption and economic growth in rich countries," Resources Policy, Elsevier, vol. 38(4), pages 628-639.
    8. Kenneth D. Goldin, 1966. "Economic Growth And The Individual," Journal of Finance, American Finance Association, vol. 21(3), pages 550-551, September.
    9. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    10. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    11. Li, Liquan & Pan, De’an & Li, Bin & Wu, Yufeng & Wang, Huaidong & Gu, Yifan & Zuo, Tieyong, 2017. "Patterns and challenges in the copper industry in China," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 1-7.
    12. Boschini, Anne & Pettersson, Jan & Roine, Jesper, 2013. "The Resource Curse and its Potential Reversal," World Development, Elsevier, vol. 43(C), pages 19-41.
    13. Labson B. Stephen & Crompton Paul L., 1993. "Common Trends in Economic Activity and Metals Demand: Cointegration and the Intensity of Use Debate," Journal of Environmental Economics and Management, Elsevier, vol. 25(2), pages 147-161, September.
    14. Crowson, Phillip, 2012. "Some observations on copper yields and ore grades," Resources Policy, Elsevier, vol. 37(1), pages 59-72.
    15. Roberts, Mark C., 1990. "Predicting metal consumption : The case of US steel," Resources Policy, Elsevier, vol. 16(1), pages 56-73, March.
    16. Dietz, Simon & Neumayer, Eric & De Soysa, Indra, 2007. "Corruption, the resource curse and genuine saving," Environment and Development Economics, Cambridge University Press, vol. 12(1), pages 33-53, February.
    17. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    18. Roberts, Mark C., 1996. "Metal use and the world economy," Resources Policy, Elsevier, vol. 22(3), pages 183-196, September.
    19. Bhattacharyya, Sambit & Hodler, Roland, 2014. "Do Natural Resource Revenues Hinder Financial Development? The Role of Political Institutions," World Development, Elsevier, vol. 57(C), pages 101-113.
    20. Ghosh, Sajal, 2006. "Steel consumption and economic growth: Evidence from India," Resources Policy, Elsevier, vol. 31(1), pages 7-11, March.
    21. Jan Ditzen, 2018. "Estimating dynamic common-correlated effects in Stata," Stata Journal, StataCorp LP, vol. 18(3), pages 585-617, September.
    22. Brunnschweiler, Christa N., 2008. "Cursing the Blessings? Natural Resource Abundance, Institutions, and Economic Growth," World Development, Elsevier, vol. 36(3), pages 399-419, March.
    23. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    24. Apergis, Nicholas & Payne, James E., 2014. "The oil curse, institutional quality, and growth in MENA countries: Evidence from time-varying cointegration," Energy Economics, Elsevier, vol. 46(C), pages 1-9.
    25. Tilton, John E, 1989. "The New View of Minerals and Economic Growth," The Economic Record, The Economic Society of Australia, vol. 65(190), pages 265-278, September.
    26. John E. Tilton, 1989. "The New View of Minerals and Economic Growth," The Economic Record, The Economic Society of Australia, vol. 65(3), pages 265-278, September.
    27. Douglas, Paul H, 1976. "The Cobb-Douglas Production Function Once Again: Its History, Its Testing, and Some New Empirical Values," Journal of Political Economy, University of Chicago Press, vol. 84(5), pages 903-915, October.
    Full references (including those not matched with items on IDEAS)

    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. Zeeshan Arshad & Margarita Robaina & Anabela Botelho, 2020. "Renewable and Non-renewable Energy, Economic Growth and Natural Resources Impact on Environmental Quality: Empirical Evidence from South and Southeast Asian Countries with CS-ARDL Modeling," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 368-383.
    2. Namahoro, J.P. & Nzabanita, J. & Wu, Q., 2021. "The impact of total and renewable energy consumption on economic growth in lower and middle- and upper-middle-income groups: Evidence from CS-DL and CCEMG analysis," Energy, Elsevier, vol. 237(C).
    3. Namahoro, J.P. & Wu, Q. & Zhou, N. & Xue, S., 2021. "Impact of energy intensity, renewable energy, and economic growth on CO2 emissions: Evidence from Africa across regions and income levels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    4. Namahoro, Jean Pierre & Wu, Qiaosheng & Hui, Su, 2023. "Asymmetric linkage between copper-cobalt productions and economic growth: Evidence from Republic Democratic of Congo," Resources Policy, Elsevier, vol. 83(C).
    5. Amendolagine, Vito & De Pascale, Gianluigi & Faccilongo, Nicola, 2021. "International capital mobility and corporate tax revenues: How do controlled foreign company rules and innovation shape this relationship?," Economic Modelling, Elsevier, vol. 101(C).
    6. Gangopadhyay, Partha & Jain, Siddharth & Bakry, Walid, 2022. "In search of a rational foundation for the massive IT boom in the Australian banking industry: Can the IT boom really drive relationship banking?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    7. Naseer, Ahsan & Su, Chi-Wei & Mirza, Nawazish & Li, Jing-Ping, 2020. "Double jeopardy of resources and investment curse in South Asia: Is technology the only way out?," Resources Policy, Elsevier, vol. 68(C).
    8. Shu Wu & Majed Alharthi & Weihua Yin & Qaiser Abbas & Adnan Noor Shah & Saeed ur Rahman & Jamal Khan, 2021. "The Carbon-Neutral Energy Consumption and Emission Volatility: The Causality Analysis of ASEAN Region," Energies, MDPI, vol. 14(10), pages 1-14, May.
    9. Namahoro, J.P. & Wu, Q. & Su, H., 2023. "Wind energy, industrial-economic development and CO2 emissions nexus: Do droughts matter?," Energy, Elsevier, vol. 278(PA).
    10. Ben-Salha, Ousama & Dachraoui, Hajer & Sebri, Maamar, 2021. "Natural resource rents and economic growth in the top resource-abundant countries: A PMG estimation," Resources Policy, Elsevier, vol. 74(C).
    11. Jaunky, Vishal Chandr, 2013. "A cointegration and causality analysis of copper consumption and economic growth in rich countries," Resources Policy, Elsevier, vol. 38(4), pages 628-639.
    12. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2020. "Energy intensity and green energy innovation: Checking heterogeneous country effects in the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 328-343.
    13. Jean Pierre Namahoro & Qiaosheng Wu & Haijun Xiao & Na Zhou, 2021. "The Impact of Renewable Energy, Economic and Population Growth on CO 2 Emissions in the East African Region: Evidence from Common Correlated Effect Means Group and Asymmetric Analysis," Energies, MDPI, vol. 14(2), pages 1-21, January.
    14. Dong-Hyeon Kim & Shu-Chin Lin, 2017. "Natural Resources and Economic Development: New Panel Evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 66(2), pages 363-391, February.
    15. Ma, Yechi & Chen, Zhiguo & Shinwari, Riazullah & Khan, Zeeshan, 2021. "Financialization, globalization, and Dutch disease: Is Dutch disease exist for resources rich countries?," Resources Policy, Elsevier, vol. 72(C).
    16. Usman, Muhammad & Makhdum, Muhammad Sohail Amjad, 2021. "What abates ecological footprint in BRICS-T region? Exploring the influence of renewable energy, non-renewable energy, agriculture, forest area and financial development," Renewable Energy, Elsevier, vol. 179(C), pages 12-28.
    17. Huang, Lingyun & Zou, Yanjun, 2020. "How to promote energy transition in China: From the perspectives of interregional relocation and environmental regulation," Energy Economics, Elsevier, vol. 92(C).
    18. Dong, Kangyin & Sun, Renjin & Hochman, Gal & Li, Hui, 2018. "Energy intensity and energy conservation potential in China: A regional comparison perspective," Energy, Elsevier, vol. 155(C), pages 782-795.
    19. Ömer Yalçınkaya & İbrahim Hüseyni & Ali Kemal Çelik, 2017. "The Impact of Total Factor Productivity on Economic Growth for Developed and Emerging Countries: A Second-generation Panel Data Analysis," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 11(4), pages 404-417, November.
    20. Lin, Renzao & Wang, Zhe & Gao, Chunjiao, 2023. "Re-examining resources taxes and sustainable financial expansion: An empirical evidence of novel panel methods for China's provincial data," Resources Policy, Elsevier, vol. 80(C).

    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:76:y:2022:i:c:s0301420722000344. 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.