| Title |
Asian logistics industry efficiency under low carbon environment: policy implications for sustainable development |
| ID_Doc |
76864 |
| Authors |
Akram, MW; Hafeez, M; Yang, SC; Sethi, N; Mahar, S; Salahodjaev, R |
| Title |
Asian logistics industry efficiency under low carbon environment: policy implications for sustainable development |
| Year |
2023 |
| Published |
Environmental Science And Pollution Research, 30, 21 |
| 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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