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Role of Institutional Quality in Green Technology-Carbon Emissions Nexus

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Abstract

This paper analyzed the relationships among green technology, institutional quality and carbon emissions in 138 countries from 2000 to 2019. Hansen’s (Econometrica, 68, 575–603, 2000) panel threshold analysis determined the institutional quality needed for green technology to reduce carbon emissions. We determined the threshold beyond which green technology influences carbon emissions and the role of institutional quality in the green technology-carbon emissions nexus. The threshold effect of institutional quality on green technology and carbon emission was found. Again, institutional quality impacts the green technology-carbon emissions more beyond the institutional quality threshold. The current study implies that countries need to ensure political stability to encourage green technology investments, promote a strong legal and regulatory regime that enforces environmental laws and investor property rights, reduce corruption, and improve government efficiency and effectiveness.

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Acknowledgements

The new author is indebted to the editor and reviewers for constructive comments.

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Authors and Affiliations

  1. Department of Accounting, University of Professional Studies, Accra, Ghana

    Isaac Ofoeda & John Kwaku Mensah Mawutor

  2. Department of Banking and Finance, University of Professional Studies, Accra, Ghana

    Barbara Deladem Mensah

  3. Department of Economic & Data Science, New Uzbekistan University, 54 Mustaqillik Avenue, 100007, Tashkent, Uzbekistan

    Simplice A. Asongu

  4. School of Economics, University of Johannesburg, Johannesburg, South Africa

    Simplice A. Asongu

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  2. John Kwaku Mensah Mawutor
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The fourth author had initially contributed to the manuscript but his name was forgotten during the submission. The fourth author has also contributed to the revision of the manuscript from round 0 to round 1.

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Appendices

Appendix 1

Heteroskedasticiy test Breusch-Pagan/Cook-Weisberg and White test

Breusch-Pagan / Cook-Weisberg test for heteroskedasticity

Ho: Constant variance

Variables: fitted values of lnCO2

chi2 (1) = 23.07

Prob > chi2 = 0.0000

estatimtest, white

White's test for Ho: homoskedasticity against

Ha: unrestricted heteroskedasticity

chi2(65) = 1165.60

Prob > chi2 = 0.0000

Appendix 2

Autocorrelation test Wooldridge

Wooldridge test for autocorrelation in panel data

H0: no first-order autocorrelation F (1, 137) = 224.864

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Ofoeda, I., Mawutor, J.K.M., Mensah, B.D. et al. Role of Institutional Quality in Green Technology-Carbon Emissions Nexus. J Knowl Econ (2024). https://doi.org/10.1007/s13132-024-01777-4

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