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Exploring the nexus between tax revenues, government expenditures, and climate change: empirical evidence from Belt and Road Initiative countries

Author

Listed:
  • Peng Yuelan

    (Shanxi Institute of Economics Management)

  • Muhammad Waqas Akbar

    (Shanxi University of Finance and Economics)

  • Zeenat Zia

    (Shanxi University of Finance and Economics)

  • Muhammad Imran Arshad

    (Virtual University)

Abstract

The greenhouse gas (GHG) emissions generated by human activities are the leading cause of rapid climate change. High energy consumption projects in the BRI initiative have more impact on the environment. Therefore, fiscal policy instruments are essentials to combat climate change. This paper explores the impact of fiscal policy instruments, FDI, energy use, and GDP on climate change in Belt and Road Initiative (BRI) countries. The study utilizes fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS) long-run econometric models to estimate the long-run results in the full panel and individual countries. Furthermore, Dumitrescu and Hurlin’s (2012) causality test has been utilized to observe the short-run causalities among variables. The empirical findings confirmed that fiscal policy instruments expressively help to mitigate climate change, while foreign direct investment significantly intensifies the climate change in BRI. The short-run heterogeneous causality endorses bidirectional causality between fiscal policy instruments and climate change. It suggests that policy-makers should consider fiscal policy instruments to mitigate climate change in the BRI countries.

Suggested Citation

  • Peng Yuelan & Muhammad Waqas Akbar & Zeenat Zia & Muhammad Imran Arshad, 2022. "Exploring the nexus between tax revenues, government expenditures, and climate change: empirical evidence from Belt and Road Initiative countries," Economic Change and Restructuring, Springer, vol. 55(3), pages 1365-1395, August.
  • Handle: RePEc:kap:ecopln:v:55:y:2022:i:3:d:10.1007_s10644-021-09349-1
    DOI: 10.1007/s10644-021-09349-1
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    as
    1. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    2. Khan, Anwar & Chenggang, Yang & Hussain, Jamal & Bano, Sadia & Nawaz, AAmir, 2020. "Natural resources, tourism development, and energy-growth-CO2 emission nexus: A simultaneity modeling analysis of BRI countries," Resources Policy, Elsevier, vol. 68(C).
    3. Hondroyiannis, George & Papapetrou, Evangelia, 1996. "An Examination of the Causal Relationship between Government Spending and Revenue: A Cointegration Analysis," Public Choice, Springer, vol. 89(3-4), pages 363-374, 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. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    6. Chan, Ying Tung, 2020. "Are macroeconomic policies better in curbing air pollution than environmental policies? A DSGE approach with carbon-dependent fiscal and monetary policies," Energy Policy, Elsevier, vol. 141(C).
    7. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    8. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    9. Yang, Guangfei & Sun, Tao & Wang, Jianliang & Li, Xianneng, 2015. "Modeling the nexus between carbon dioxide emissions and economic growth," Energy Policy, Elsevier, vol. 86(C), pages 104-117.
    10. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    11. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    12. Khan, Anwar & Chenggang, Yang & Hussain, Jamal & Kui, Zhou, 2021. "Impact of technological innovation, financial development and foreign direct investment on renewable energy, non-renewable energy and the environment in belt & Road Initiative countries," Renewable Energy, Elsevier, vol. 171(C), pages 479-491.
    13. Lamia Jamel & Samir Maktouf, 2017. "The nexus between economic growth, financial development, trade openness, and CO2 emissions in European countries," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1341456-134, January.
    14. Islam, Asif M. & López, Ramón E., 2015. "Government Spending and Air Pollution in the US," International Review of Environmental and Resource Economics, now publishers, vol. 8(2), pages 139-189, July.
    15. Xiaohai Sun & Yang Chenggang & Anwar Khan & Jamal Hussain & Sadia Bano, 2021. "The role of tourism, and natural resources in the energy-pollution-growth nexus: an analysis of belt and road initiative countries," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 64(6), pages 999-1020, May.
    16. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    17. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    18. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    19. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    20. Halkos, George E. & Paizanos, Epameinondas Α., 2016. "The effects of fiscal policy on CO2 emissions: Evidence from the U.S.A," Energy Policy, Elsevier, vol. 88(C), pages 317-328.
    21. World Bank, 2017. "World Development Indicators 2017," World Bank Publications - Books, The World Bank Group, number 26447, December.
    22. Liu, Yang & Han, Liyan & Yin, Ziqiao & Luo, Kongyi, 2017. "A competitive carbon emissions scheme with hybrid fiscal incentives: The evidence from a taxi industry," Energy Policy, Elsevier, vol. 102(C), pages 414-422.
    23. Zhao, Weigang & Cao, Yunfei & Miao, Bo & Wang, Ke & Wei, Yi-Ming, 2018. "Impacts of shifting China's final energy consumption to electricity on CO2 emission reduction," Energy Economics, Elsevier, vol. 71(C), pages 359-369.
    24. Hussain, Jamal & Khan, Anwar & Zhou, Kui, 2020. "The impact of natural resource depletion on energy use and CO2 emission in Belt & Road Initiative countries: A cross-country analysis," Energy, Elsevier, vol. 199(C).
    25. Muhammad Hafeez & Chunhui Yuan & Issam Khelfaoui & Almalki Sultan Musaad O & Muhammad Waqas Akbar & Liu Jie, 2019. "Evaluating the Energy Consumption Inequalities in the One Belt and One Road Region: Implications for the Environment," Energies, MDPI, vol. 12(7), pages 1-15, April.
    26. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    27. Weigang Zhao & Yunfei Cao & Bo Miao & Ke Wang & Yi-Ming Wei, 2018. "Impacts of shifting China¡¯s final energy consumption to electricity on CO2 emission reduction," CEEP-BIT Working Papers 115, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    28. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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    More about this item

    Keywords

    Belt and Road Initiative; Climate change; FDI; Government expenditures; Tax revenues;
    All these keywords.

    JEL classification:

    • H2 - Public Economics - - Taxation, Subsidies, and Revenue
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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