IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v88y2024ics030142072301111x.html
   My bibliography  Save this article

Multidimensional financial development and natural resources: A path for sustainable development via natural resources and digitalization

Author

Listed:
  • Li, Shi
  • Chen, Lei
  • Jiang, Tao
  • Wang, YingJie
  • Shen, Congcong

Abstract

An excess of studies are presented concerning the linkage of natural resources-economic-growth-sustainable development; however, the role of natural resources and economic expansion in multidimensional financial development is lacking, particularly in the context of the USA. This study underpins the extant literature by examining the role of natural resources and economic growth on the financial development index of the USA from 1980 to 2021. The research also encompassed digitalization as a controlling co-variates in the study. Various time series econometric procedures have been leveraged to analyze the data, which contains two-unit root tests (ADF and Phillips Perron tests) to determine the static properties of the variables before examining the long-term equilibrium (Bayer and Hanck cointegration test) between variables for the long run elasticities between variables, FMOLS, DOLS, and CCR is used. We also deployed robustness check analysis tests in the study. The outcomes of the research demonstrate asymmetric results. Mineral rents and natural gas rents significantly and positively improve financial development, while oil rents and coal rents have detrimental effects on the financial development index of the USA. In a non-parametric test of quantile regression, the results are similar, but mineral and natural gas rents are insignificant and positive. GDP and digitalization also improve the financial development index. The robustness check also validates the results of the preferred models. The causality analysis exhibits that GDP, natural resources (mineral rents, coal rents, oil rents, natural gas rents), and digitalization have bi-directional causality with the financial development index and confirm the feedback effect. Based on the observed outcomes, the study endorses pertinent policies to policymakers regarding the financial development index by taming digitization, economic expansion, and NRR.

Suggested Citation

  • Li, Shi & Chen, Lei & Jiang, Tao & Wang, YingJie & Shen, Congcong, 2024. "Multidimensional financial development and natural resources: A path for sustainable development via natural resources and digitalization," Resources Policy, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:jrpoli:v:88:y:2024:i:c:s030142072301111x
    DOI: 10.1016/j.resourpol.2023.104400
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030142072301111X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2023.104400?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. Badeeb, Ramez Abubakr & Wang, Bo & Zhao, Jun & Khan, Zeeshan & Uktamov, Khusniddin Fakhriddinovich & Zhang, Changyong, 2023. "Natural resources extraction and financial inclusion: Linear and non-linear effect of natural resources on financial sector," Resources Policy, Elsevier, vol. 85(PA).
    2. Park, Joon Y, 1992. "Canonical Cointegrating Regressions," Econometrica, Econometric Society, vol. 60(1), pages 119-143, January.
    3. Wang, Weiwei & Gao, Pengpeng & Wang, Jiahaoran, 2023. "Nexus among digital inclusive finance and carbon neutrality: Evidence from company-level panel data analysis," Resources Policy, Elsevier, vol. 80(C).
    4. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    5. Anindya Banerjee & Juan Dolado & Ricardo Mestre, 1998. "Error‐correction Mechanism Tests for Cointegration in a Single‐equation Framework," Journal of Time Series Analysis, Wiley Blackwell, vol. 19(3), pages 267-283, May.
    6. Christian Bayer & Christoph Hanck, 2013. "Combining non-cointegration tests," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(1), pages 83-95, January.
    7. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    8. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    9. Li, Menghan & Zhang, Kaiyue & Alamri, Ahmad Mohammed & Ageli, Mohammed Moosa & Khan, Numan, 2023. "Resource curse hypothesis and sustainable development: Evaluating the role of renewable energy and R&D," Resources Policy, Elsevier, vol. 81(C).
    10. Ha, Le Thanh, 2022. "Effects of digitalization on financialization: Empirical evidence from European countries," Technology in Society, Elsevier, vol. 68(C).
    11. Peter Boswijk, H., 1994. "Testing for an unstable root in conditional and structural error correction models," Journal of Econometrics, Elsevier, vol. 63(1), pages 37-60, July.
    12. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    13. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, September.
    14. Tang, Chang & Irfan, Muhammad & Razzaq, Asif & Dagar, Vishal, 2022. "Natural resources and financial development: Role of business regulations in testing the resource-curse hypothesis in ASEAN countries," Resources Policy, Elsevier, vol. 76(C).
    15. Destek, Mehmet Akif & Aydın, Sercan & Destek, Gamze, 2022. "Investigating an optimal resource dependency to prevent natural resource curse: Evidence from countries with the curse risk," Resources Policy, Elsevier, vol. 79(C).
    16. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    17. Hordofa, Tolassa Temesgen & Liying, Song & Mughal, Nafeesa & Arif, Asma & Minh Vu, Hieu & Kaur, Prabjot, 2022. "Natural resources rents and economic performance: Post-COVID-19 era for G7 countries," Resources Policy, Elsevier, vol. 75(C).
    18. James G. MacKinnon & Morten Ørregaard Nielsen, 2014. "Numerical Distribution Functions Of Fractional Unit Root And Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 161-171, January.
    19. Xiuxiu Jiang & Xia Wang & Jia Ren & Zhimin Xie, 2021. "The Nexus between Digital Finance and Economic Development: Evidence from China," Sustainability, MDPI, vol. 13(13), pages 1-17, June.
    20. Sun, Yanpeng & Chang, Hsuling & Vasbieva, Dinara G. & Andlib, Zubaria, 2022. "Economic performance, investment in energy resources, foreign trade, and natural resources volatility nexus: Evidence from China's provincial data," Resources Policy, Elsevier, vol. 78(C).
    21. Zaidi, Syed Anees Haider & Wei, Zixiang & Gedikli, Ayfer & Zafar, Muhammad Wasif & Hou, Fujun & Iftikhar, Yaser, 2019. "The impact of globalization, natural resources abundance, and human capital on financial development: Evidence from thirty-one OECD countries," Resources Policy, Elsevier, vol. 64(C).
    22. Ali, Adnan & Ramakrishnan, Suresh & Faisal,, 2022. "Financial development and natural resources. Is there a stock market resource curse?," Resources Policy, Elsevier, vol. 75(C).
    23. Tadiwanashe Muganyi & Linnan Yan & Yingkai Yin & Huaping Sun & Xiangbin Gong & Farhad Taghizadeh-Hesary, 2022. "Fintech, regtech, and financial development: evidence from China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-20, December.
    24. Wang, Zhipeng & Zhang, Mei & Ageli, Mohammed Moosa, 2022. "Revisiting resource curse hypothesis and sustainable development: Evaluating the role of financial risk for USA," Resources Policy, Elsevier, vol. 79(C).
    25. Bunje, Madinatou Yeh & Abendin, Simon & Wang, Yin, 2022. "The multidimensional effect of financial development on trade in Africa: The role of the digital economy," Telecommunications Policy, Elsevier, vol. 46(10).
    26. Alexandra Horobet & Irina Mnohoghitnei & Emanuela Marinela Luminita Zlatea & Lucian Belascu, 2022. "The Interplay between Digitalization, Education and Financial Development: A European Case Study," JRFM, MDPI, vol. 15(3), pages 1-23, March.
    27. Khan, Zeeshan & Hussain, Muzzammil & Shahbaz, Muhammad & Yang, Siqun & Jiao, Zhilun, 2020. "Natural resource abundance, technological innovation, and human capital nexus with financial development: A case study of China," Resources Policy, Elsevier, vol. 65(C).
    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. Zhang, Meng-Chen & Lin, Chun-Yu & Wei, Ying, 2023. "Natural resources exploration, efficiency of energy resources and financial development: Resources sector analysis via least square with structural breaks," Resources Policy, Elsevier, vol. 85(PA).
    2. Zhong, Yufei & Chen, Xuesheng & Yao, Xuehui & Wang, Zhixian & Chang, Hsu-Ling, 2024. "Natural resources and the trilemma of financial development, institutions, and markets: Sustainable development pathway via natural resources for China," Resources Policy, Elsevier, vol. 90(C).
    3. Gong, Qinyi & Ying, Limeng & Dai, Jiapeng, 2023. "Green finance and energy natural resources nexus with economic performance: A novel evidence from China," Resources Policy, Elsevier, vol. 84(C).
    4. Wang, Zhen & Hu, Difei & Sami, Fariha & Uktamov, Khusniddin Fakhriddinovich, 2023. "Revisiting China's natural resources-growth-emissions nexus: Education expenditures and renewable energy innovation," Resources Policy, Elsevier, vol. 85(PA).
    5. Xue, Pengcheng & Du, Jianhua & Liu, Jiaxin & Li, Zhipeng & Albahooth, Bayan & Yang, Yiting, 2023. "Natural resources and economic perspective: Manufacturing value added for Europe and Central Asian economies," Resources Policy, Elsevier, vol. 86(PA).
    6. Tian, Lulu & Yan, Wenying & Xu, Baochang & Hasnaoui, Amir, 2024. "Beyond the resource curse: The multifaceted impact of mineral resources, financial systems, and workforce competence," Resources Policy, Elsevier, vol. 89(C).
    7. Lin, Ling & Li, Mu & Hou, Xinmeng & Zahid Piprani, Arsalan, 2024. "The resource curse in least developed countries: The roles of foreign direct investment, energy efficiency, and electricity access," Resources Policy, Elsevier, vol. 89(C).
    8. Yu, Xiuzhi & Jia, Fengshuo & Khan, Suliman & Khan, Zeeshan & Nassani, Abdelmohsen A., 2024. "Natural resources a curse or blessings for international trade? Empirical evidence from high indebted economies," Resources Policy, Elsevier, vol. 89(C).
    9. Wan, Muchun & Mughal, Nafeesa & Peng, Tao & Yepez Peña, Miguel Angel, 2024. "Resources extraction and access to clean energy a curse or blessing for the economy? Middle-income economies case study," Resources Policy, Elsevier, vol. 88(C).
    10. Liu, Bailu & Tian, Jilin, 2023. "Natural resources led innovation: Employing structural break approach to explore USA's natural resources sector," Resources Policy, Elsevier, vol. 85(PA).
    11. Wang, Shubin & Wang, Tingting & Li, Jiabao & Zhao, Erlong, 2023. "Resource curse hypothesis in COP26 perspective: Access to clean fuel technology and electricity from renewable energy," Resources Policy, Elsevier, vol. 82(C).
    12. Hu, Hao & Li, Ruida & Zhang, Leilei, 2023. "Financial development and resources curse hypothesis: China's COVID-19 perspective of natural resources extraction," Resources Policy, Elsevier, vol. 85(PB).
    13. Chen, Fu & Xu, Jie & Zhang, Weiwei & Wei, Bowen & Li, Tingting, 2023. "Capital formation and natural resources extraction: A source of sustainable development or a curse for the economy?," Resources Policy, Elsevier, vol. 85(PB).
    14. Alsagr, Naif, 2024. "Revisiting the natural resources rent and financial development nexus: Does geopolitical risk and corruption really matters?," Resources Policy, Elsevier, vol. 89(C).
    15. Wang, Xinghua & Su, Chi-Wei & Xue, Ziru & Xie, Xin, 2023. "Sustainable development goals perspective of natural resources: Does it paves the way for renewable sources of energy? A global case study," Resources Policy, Elsevier, vol. 86(PB).
    16. Guan, Jialin & Kirikkaleli, Dervis & Bibi, Ayesha & Zhang, Weike, 2020. "Natural resources rents nexus with financial development in the presence of globalization: Is the “resource curse” exist or myth?," Resources Policy, Elsevier, vol. 66(C).
    17. Xia, Wanjun & Murshed, Muntasir & Khan, Zeeshan & Chen, Zhenling & Ferraz, Diogo, 2022. "Exploring the nexus between fiscal decentralization and energy poverty for China: Does country risk matter for energy poverty reduction?," Energy, Elsevier, vol. 255(C).
    18. Chen, Zhiguo & Gao, Wei & Zafar, Quratulain & Dördüncü, Hazar, 2023. "Natural resources extraction and geopolitical risk: Examining oil resources extraction in China," Resources Policy, Elsevier, vol. 85(PA).
    19. Zhang, Yi & Zhang, Leilei & Yu, Hang & Tu, Yanhong, 2023. "Does Geopolitical risk drive natural resources extraction globally? A Case of Global," Resources Policy, Elsevier, vol. 82(C).
    20. Balsalobre-Lorente, Daniel & Bekun, Festus Victor & Etokakpan, Mfonobong Udom & Driha, Oana M., 2019. "A road to enhancements in natural gas use in Iran: A multivariate modelling approach," Resources Policy, Elsevier, vol. 64(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:88:y:2024:i:c:s030142072301111x. 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.