IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v75y2022ics0301420721005171.html
   My bibliography  Save this article

Natural resources tax volatility and economic performance: Evaluating the role of digital economy

Author

Listed:
  • Ma, Qiang
  • Mentel, Grzegorz
  • Zhao, Xin
  • Salahodjaev, Raufhon
  • Kuldasheva, Zebo

Abstract

The existing literature lacks empirical nexus of natural resources tax (TNRT) volatility and economic performance. Also, the digital economy is currently a hot issue among researchers and policy-makers. Therefore, the current study investigates TNRT volatility and economic performance – while adopting the role of digital economy (DEE), financial development (FD), technological innovation (TI), research and development expenditures (RDE). This study examines 30 Chinese provinces covering the period from 2006 to 2017. Using the panel quantile regression, this study explores that TNRT volatility, DEE, FD, and TI significantly increase economic performance in all the quantiles (Q0.25, Q0.50, Q0.75). However, RDE is found positive and significant only in Q0.25, Q0.50, while insignificant in Q0.75. The findings of quantile regression are robust, as confirmed by the panel dynamic ordinary least square (DOLS). Besides, the Dumitrescu and Hurlin (2012) Granger panel causality test unveil a bidirectional causal nexus between TNRT, FD, TI, RDE and economic performance, while no causal nexus is detected between DEE and economic performance. This study recommends adopting and enhancing the digital economy, financial development, technological innovation, and research and development.

Suggested Citation

  • Ma, Qiang & Mentel, Grzegorz & Zhao, Xin & Salahodjaev, Raufhon & Kuldasheva, Zebo, 2022. "Natural resources tax volatility and economic performance: Evaluating the role of digital economy," Resources Policy, Elsevier, vol. 75(C).
    • Handle: RePEc:eee:jrpoli:v:75:y:2022:i:c:s0301420721005171
    DOI: 10.1016/j.resourpol.2021.102510
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420721005171
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2021.102510?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. Kizito Uyi Ehigiamusoe, 2021. "The nexus between tourism, financial development, and economic growth: Evidence from African countries," African Development Review, African Development Bank, vol. 33(2), pages 382-396, June.
    2. Maha Mohamed Alsebai Mohamed & Pingfeng Liu & Guihua Nie, 2021. "Are Technological Innovation and Foreign Direct Investment a Way to Boost Economic Growth? An Egyptian Case Study Using the Autoregressive Distributed Lag (ARDL) Model," Sustainability, MDPI, vol. 13(6), pages 1-28, March.
    3. Song, Chang-Qing & Chang, Chun-Ping & Gong, Qiang, 2021. "Economic growth, corruption, and financial development: Global evidence," Economic Modelling, Elsevier, vol. 94(C), pages 822-830.
    4. Pop Silaghi, Monica Ioana & Alexa, Diana & Jude, Cristina & Litan, Cristian, 2014. "Do business and public sector research and development expenditures contribute to economic growth in Central and Eastern European Countries? A dynamic panel estimation," Economic Modelling, Elsevier, vol. 36(C), pages 108-119.
    5. Pradhan, Rudra P. & Arvin, Mak B. & Nair, Mahendhiran & Bennett, Sara E., 2020. "The dynamics among entrepreneurship, innovation, and economic growth in the Eurozone countries," Journal of Policy Modeling, Elsevier, vol. 42(5), pages 1106-1122.
    6. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    7. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    8. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    9. Heaps, Terry & Helliwell, John F., 1985. "The taxation of natural resources," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 1, chapter 8, pages 421-472, Elsevier.
    10. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    11. Hui An & Qianmiao Zou & Mohamed Kargbo, 2021. "Impact of financial development on economic growth: Evidence from Sub‐Saharan Africa," Australian Economic Papers, Wiley Blackwell, vol. 60(2), pages 226-260, June.
    12. Jorg Breitung, 2005. "A Parametric approach to the Estimation of Cointegration Vectors in Panel Data," Econometric Reviews, Taylor & Francis Journals, vol. 24(2), pages 151-173.
    13. Zhou, Xiaoxiao & Cai, Ziming & Tan, Kim Hua & Zhang, Linling & Du, Juntao & Song, Malin, 2021. "Technological innovation and structural change for economic development in China as an emerging market," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    14. Alexeev, Michael & Chernyavskiy, Andrey, 2015. "Taxation of natural resources and economic growth in Russia's regions," Economic Systems, Elsevier, vol. 39(2), pages 317-338.
    15. Mohammed, Jabir Ibrahim & Karimu, Amin & Fiador, Vera Ogeh & Abor, Joshua Yindenaba, 2020. "Oil revenues and economic growth in oil-producing countries: The role of domestic financial markets," Resources Policy, Elsevier, vol. 69(C).
    16. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    17. 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.
    18. Kais Mtar & Walid Belazreg, 2021. "Causal Nexus Between Innovation, Financial Development, and Economic Growth: the Case of OECD Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(1), pages 310-341, March.
    19. Danish & JianWu Zhang & Syed Tauseef Hassan & Kashif Iqbal, 2020. "Toward achieving environmental sustainability target in Organization for Economic Cooperation and Development countries: The role of real income, research and development, and transport infrastructure," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(1), pages 83-90, January.
    20. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-458, March.
    21. Eric R. Eide & Mark H. Showalter, 1999. "Factors Affecting the Transmission of Earnings across Generations: A Quantile Regression Approach," Journal of Human Resources, University of Wisconsin Press, vol. 34(2), pages 253-267.
    22. Umer Shahzad & Magdalena Radulescu & Syed Rahim & Cem Isik & Zahid Yousaf & Stefan Alexandru Ionescu, 2021. "Do Environment-Related Policy Instruments and Technologies Facilitate Renewable Energy Generation? Exploring the Contextual Evidence from Developed Economies," Energies, MDPI, vol. 14(3), pages 1-25, January.
    23. Abdelwahed, Loujaina, 2020. "More oil, more or less taxes? New evidence on the impact of resource revenue on domestic tax revenue," Resources Policy, Elsevier, vol. 68(C).
    24. 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.
    25. Hoang Phong Le & Ho Hoang Gia Bao, 2020. "Renewable and Nonrenewable Energy Consumption, Government Expenditure, Institution Quality, Financial Development, Trade Openness, and Sustainable Development in Latin America and Caribbean Emerging M," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 242-248.
    26. Abdul Rahman & Muhammad Arshad Khan & Lanouar Charfeddine, 2020. "Does Financial Sector Promote Economic Growth in Pakistan? Empirical Evidences From Markov Switching Model," SAGE Open, , vol. 10(4), pages 21582440209, October.
    27. Cheng, Chih-Yang & Chien, Mei-Se & Lee, Chien-Chiang, 2021. "ICT diffusion, financial development, and economic growth: An international cross-country analysis," Economic Modelling, Elsevier, vol. 94(C), pages 662-671.
    28. Ahmed, Abdullahi D. & Mmolainyane, Kelesego K., 2014. "Financial integration, capital market development and economic performance: Empirical evidence from Botswana," Economic Modelling, Elsevier, vol. 42(C), pages 1-14.
    29. Murillo Campello & Antonio F. Galvao & Ted Juhl, 2019. "Testing for Slope Heterogeneity Bias in Panel Data Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(4), pages 749-760, October.
    30. Erdoğan, Seyfettin & Yıldırım, Durmuş Çağrı & Gedikli, Ayfer, 2020. "Natural resource abundance, financial development and economic growth: An investigation on Next-11 countries," Resources Policy, Elsevier, vol. 65(C).
    31. Go, Delfin S. & Robinson, Sherman & Thierfelder, Karen, 2016. "Natural resource revenue, spending strategies and economic growth in Niger," Economic Modelling, Elsevier, vol. 52(PB), pages 564-573.
    32. Ma, Qiang & Zhang, Mei & Ali, Sher & Kirikkaleli, Dervis & Khan, Zeeshan, 2021. "Natural resources commodity prices volatility and economic performance: Evidence from China pre and post COVID-19," Resources Policy, Elsevier, vol. 74(C).
    33. 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).
    34. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    35. Siong Hook Law & Tamat Sarmidi & Lim Thye Goh, 2020. "Impact of Innovation on Economic Growth: Evidence from Malaysia," Malaysian Journal of Economic Studies, Faculty of Business and Economics, University of Malaya & Malaysian Economic Association, vol. 57(1), pages 113-132, June.
    36. Zhou, Bing & Zeng, Xiaoyan & Jiang, Lu & Xue, Bing, 2020. "High-quality Economic Growth under the Influence of Technological Innovation Preference in China: A Numerical Simulation from the Government Financial Perspective," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 163-172.
    37. Sun, Li & Wang, Yang, 2021. "Global economic performance and natural resources commodity prices volatility: Evidence from pre and post COVID-19 era," Resources Policy, Elsevier, vol. 74(C).
    38. Buchinsky, Moshe, 1995. "Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study," Journal of Econometrics, Elsevier, vol. 68(2), pages 303-338, August.
    39. Colin Kirkpatrick, 2000. "Financial Development, Economic Growth, and Poverty Reduction," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 39(4), pages 363-388.
    40. Khan, Zeeshan & Ali, Muhsin & Jinyu, Liu & Shahbaz, Muhammad & Siqun, Yang, 2020. "Consumption-based carbon emissions and trade nexus: Evidence from nine oil exporting countries," Energy Economics, Elsevier, vol. 89(C).
    41. Sachs, Jeffrey D. & Warner, Andrew M., 2001. "The curse of natural resources," European Economic Review, Elsevier, vol. 45(4-6), pages 827-838, May.
    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. Deng, Wei & Akram, Rabia & Mirza, Nawazish, 2022. "Economic performance and natural resources: Evaluating the role of economic risk," Resources Policy, Elsevier, vol. 78(C).
    2. 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).
    3. Zhou, Haonan & Li, Dongxin & Mustafa, Faisal & Altuntaş, Mehmet, 2022. "Natural resources volatility and South Asian economies: Evaluating the role of COVID-19," Resources Policy, Elsevier, vol. 75(C).
    4. Liu, Qiang & Zhao, Zhongwei & Liu, Yiran & He, Yao, 2022. "Natural resources commodity prices volatility, economic performance and environment: Evaluating the role of oil rents," Resources Policy, Elsevier, vol. 76(C).
    5. Arif, Asma & Minh Vu, Hieu & Cong, Ma & Hon Wei, Leow & Islam, Md. Monirul & Niedbała, Gniewko, 2022. "Natural resources commodity prices volatility and economic performance: Evaluating the role of green finance," Resources Policy, Elsevier, vol. 76(C).
    6. Li, Ying & Tariq, Muhammad & Khan, Saleem & Rjoub, Husam & Azhar, Aisha, 2022. "Natural resources rents, capital formation and economic performance: Evaluating the role of globalization," Resources Policy, Elsevier, vol. 78(C).
    7. Wen, Jun & Mughal, Nafeesa & Kashif, Maryam & Jain, Vipin & Ramos Meza, Carlos Samuel & Cong, Phan The, 2022. "Volatility in natural resources prices and economic performance: Evidence from BRICS economies," Resources Policy, Elsevier, vol. 75(C).
    8. Wu, Di & Yang, Yuping & Shi, Yi & Xu, Meng & Zou, Wenjie, 2022. "Renewable energy resources, natural resources volatility and economic performance: Evidence from BRICS," Resources Policy, Elsevier, vol. 76(C).
    9. Liang, Jinhao & Razzaq, Asif & Sharif, Arshian & Irfan, Muhammad, 2022. "Revisiting economic and non-economic indicators of natural resources: Analysis of developed economies," Resources Policy, Elsevier, vol. 77(C).
    10. 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).
    11. 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).
    12. Wang, Tianyang & Umar, Muhammad & Li, Menggang & Shan, Shan, 2023. "Green finance and clean taxes are the ways to curb carbon emissions: An OECD experience," Energy Economics, Elsevier, vol. 124(C).
    13. Wang, Chen & Xia, Mengli & Wang, Piao & Xu, Junjie, 2022. "Renewable energy output, energy efficiency and cleaner energy: Evidence from non-parametric approach for emerging seven economies," Renewable Energy, Elsevier, vol. 198(C), pages 91-99.
    14. Wang, Zhongbao & Razzaq, Asif, 2022. "Natural resources, energy efficiency transition and sustainable development: Evidence from BRICS economies," Resources Policy, Elsevier, vol. 79(C).
    15. Gao, Chunjiao & Chen, Hongxi, 2023. "Electricity from renewable energy resources: Sustainable energy transition and emissions for developed economies," Utilities Policy, Elsevier, vol. 82(C).
    16. Zheng, Li & Yuan, Ling & Khan, Zeeshan & Badeeb, Ramez Abubakr & Zhang, Leilei, 2023. "How G-7 countries are paving the way for net-zero emissions through energy efficient ecosystem?," Energy Economics, Elsevier, vol. 117(C).
    17. Zhou, Rong & Su, Kaihua & Zheng, Li, 2022. "Natural resources led growth and the role of financial development: Evidence from Next-11 economies," Resources Policy, Elsevier, vol. 79(C).
    18. Gu, Xiao & Shen, Xi & Zhong, Xiangming & Wu, Tong & Rahim, Syed, 2023. "Natural resources and undesired productions of environmental outputs as green growth: EKC in the perspective of green finance and green growth in the G7 region," Resources Policy, Elsevier, vol. 82(C).
    19. Liu, Qiang & Sun, Hongyu & Luo, Haiming, 2022. "Resource-richness, technological innovation, and sustainable development: Evidence from emerging economies," Resources Policy, Elsevier, vol. 79(C).
    20. Khan, Arshad Ahmad & Luo, Jianchao & Safi, Adnan & Khan, Sufyan Ullah & Ali, Muhammad Abu Sufyan, 2022. "What determines volatility in natural resources? Evaluating the role of political risk index," Resources Policy, Elsevier, vol. 75(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:75:y:2022:i:c:s0301420721005171. 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.