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Asian logistics industry efficiency under low carbon environment: policy implications for sustainable development

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Abstract

Logistics is a crucial part of every business. The logistics sector not only contributes significantly to Asian economies but also has far-reaching effects on ecological and social concerns. Therefore, it is important to examine the factors that can affect the logistics performance of the country. Hence, the primary objective of the study is to estimate the impact of CO2 emissions, ICT, and human capital on the logistics performance of the 20 Asian economies. In order to investigate the relationship between the variables, we have employed the OLS, 2SLS, GMM, and panel quantile regression. The estimates of CO2 emissions and GHG emissions are significantly negative in 2SLS and GMM methods, implying that environmental pollution hurt logistic performance. The estimates of ICT and education are positively significant, suggesting that increased use of internet and higher education rate are crucial in improving logistics performance. In the panel quantile regression model, the estimates of CO2, internet, and education are insignificant at most quantiles except at a few higher quantiles. Thus, governments should invest in the development of efficient logistics infrastructure to achieve sustainable development.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Author information

Authors and Affiliations

  1. Scientia Academia Malaysia, Johor Bahru, Malaysia

    Muhammad Wasim Akram

  2. Department of Business Administration, University of Sialkot, Sialkot, Pakistan

    Muhammad Wasim Akram

  3. Institute of Business Management Sciences, University of Agriculture, Faisalabad, 38040, Pakistan

    Muhammad Hafeez

  4. Department of Network Security and Information Technology, University of International Business and Economics, Beijing, China

    Shuchun Yang

  5. Department of Humanities and Social Science, National Institute of Technology (NIT) Rourkela, Rourkela, India

    Narayan Sethi

  6. Azman Hashim International Business School, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

    Shaza Mahar

  7. Department of Mathematical Methods in Economics, Tashkent State University of Economics, Tashkent, Uzbekistan

    Raufhon Salahodjaev

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  1. Muhammad Wasim Akram
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  2. Muhammad Hafeez
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  3. Shuchun Yang
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  4. Narayan Sethi
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  6. Raufhon Salahodjaev
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Contributions

This idea was given by Muhammad Wasim Akram and Muhammad Hafeez. Muhammad Wasim Akram, Muhammad Hafeez, Shuchun Yang, Narayan Sethi, and Shaza Mahar analyzed the data and wrote the complete draft, while Raufhon Salahodjaev and Shaza Mahar revised and updated in terms of language. Muhammad Wasim Akram, Raufhon Salahodjaev, and Muhammad Hafeez read and approved the final version.

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Correspondence to Muhammad Hafeez.

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Appendix

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Table 5

Table 5 Model variables
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Akram, M.W., Hafeez, M., Yang, S. et al. Asian logistics industry efficiency under low carbon environment: policy implications for sustainable development. Environ Sci Pollut Res 30, 59793–59801 (2023). https://doi.org/10.1007/s11356-023-26681-3

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