American Journal of Industrial and Business Management

Volume 11, Issue 5 (May 2021)

ISSN Print: 2164-5167   ISSN Online: 2164-5175

Google-based Impact Factor: 2.08  Citations  

City Logistics Measures and Environmental Sustainability: An Evidence from Ghana

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DOI: 10.4236/ajibm.2021.115037    538 Downloads   2,727 Views  Citations

ABSTRACT

This paper analyzed the relationship between city logistics measures and environmental sustainability in Ghana. This paper analysis followed an established pattern using the Multiple Linear Regression (MLR) model and correlation matrix. After estimating the descriptive statistics covering four (4) variables such as environmental sustainability, policy, stakeholders interaction, and city logistics measures. The findings indicated that policies correlated with city logistics measures (21%) and environmental sustainability (84%) at 1% significant levels; furthermore, at a 1% significant level, the policies correlated strongly with environmental sustainability than the other variables. The results show that policies play a crucial role in environmental sustainability. The test values indicate that SI, SI1 and CLM are statistically significant at p (0.000) < 0.05 respectively whereas P, P1, SI2 and CLM1 are not statistically significant at p (0.293) > 0.05, p (0.779) > 0.05, p (0.577) > 0.05 and p (0.351) > 0.05. Even though the P2 value is significant, p (0.031) < 0.05. The impacts on environmental sustainability are not felt much. But more importantly, SI and CLM have a positive influence on environmental sustainability. Hence, hypotheses (H1, H2, and H3) were accepted. These then call for policy direction on city logistics measure implementation and environmental sustainability in Ghana and other parts of the world.

Share and Cite:

Akosua, A. S., Yang, X. Y., Clement, M., Zalia, A.-H., & Fathia, B. V. (2021) City Logistics Measures and Environmental Sustainability: An Evidence from Ghana. American Journal of Industrial and Business Management, 11, 582-597. doi: 10.4236/ajibm.2021.115037.

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