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Environmental protection in selected one belt one road economies through institutional quality: Prospering transportation and industrialization

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  • Qiong Wu
  • Ghulam Rasool Madni

Abstract

The effects of economic development on natural environment is explored by momentous literature, this study focuses on exploring the role of institutional quality for environmental protection in the selected One Belt One Road (OBOR) economies. The main goal of the paper is to find the threshold level of institutional quality that may minimize CO2 emissions in the atmosphere due to widespread industrialization and transportation. The data is selected for the panel of 33 OBOR economies over the time period of 1986–2018. The panel threshold regression technique is applied to determine the threshold level of institutional quality. The estimated results of the study reveal that 2.315 is the threshold level of institutional quality in selected partner OBOR countries. If quality of institutions is above the threshold level then CO2 emission do not contribute significantly for environmental deterioration in spite of growing industrialization and transportation and vice versa. The study emphasized to improve the institutional quality up to threshold level to get potential gains from industrialization and transportation.

Suggested Citation

  • Qiong Wu & Ghulam Rasool Madni, 2021. "Environmental protection in selected one belt one road economies through institutional quality: Prospering transportation and industrialization," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-16, January.
    • Handle: RePEc:plo:pone00:0240851
    DOI: 10.1371/journal.pone.0240851
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    References listed on IDEAS

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    Cited by:

    1. Hayat Khan & Liu Weili & Itbar Khan, 2022. "Environmental innovation, trade openness and quality institutions: an integrated investigation about environmental sustainability," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3832-3862, March.
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    4. Xian Guo & Yujie Pei & Hong Xu & Yang Wang, 2024. "Mapping Urban Expansions along China–Europe Railway Express with the 30 m Time-Series Global Impervious Surface Area (GISA-2) Data from 2010 to 2019," Sustainability, MDPI, vol. 16(4), pages 1-22, February.

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