Logistics Performance, Export, Agricultural, Manufacturing, and Aggregate Economic Growth: A Focus on Sectoral Perspectives
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The studies on the impact of logistics performance on economic growth remain inconclusive. The earlier few studies examined the links based on the presumption of aggregate economic growth, arguing each economic sector reacts uniformly to logistics infrastructure development. However, the extent of each logistics performance impact may not necessarily remain the same across sectors. Therefore, this study examines the effect of each logistics performance dimension on aggregate economic growth, agricultural growth, and manufacturing growth in emerging countries using the Generalized Method of Moments (GMM). The study also compares each dimension of logistics performance between African and other emerging countries using descriptive statistics. In terms of each logistics performance dimension, the results showed that other developing nations owned better than African nations. According to the study, export is significantly and positively correlated with overall and sectoral economic growth in developing nations. The findings reveal that shipment, customs clearance, tracking and tracing, logistics services, and infrastructure have a positive impact on agricultural growth, manufacturing growth, and aggregate economic growth. However, the magnitude and level of significance of the coefficients of each dimension of logistics performance vary across sectors. Logistics infrastructures are more important for manufacturing growth and aggregate economic growth than for agricultural growth. The heterogeneity of the study's findings suggests that the importance and size of the relationship between economic growth and logistics performance depend on sectoral policies, economic policies, and other contexts. Therefore, investments in logistics services could help accelerate agricultural growth, manufacturing growth, and aggregate economic growth.
Abstract
The studies on the impact of logistics performance on economic growth remain inconclusive. The earlier few studies examined the links based on the presumption of aggregate economic growth, arguing each economic sector reacts uniformly to logistics infrastructure development. However, the extent of each logistics performance impact may not necessarily remain the same across sectors. Therefore, this study examines the effect of each logistics performance dimension on aggregate economic growth, agricultural growth, and manufacturing growth in emerging countries using the Generalized Method of Moments (GMM). The study also compares each dimension of logistics performance between African and other emerging countries using descriptive statistics. In terms of each logistics performance dimension, the results showed that other developing nations owned better than African nations. According to the study, export is significantly and positively correlated with overall and sectoral economic growth in developing nations. The findings reveal that shipment, customs clearance, tracking and tracing, logistics services, and infrastructure have a positive impact on agricultural growth, manufacturing growth, and aggregate economic growth. However, the magnitude and level of significance of the coefficients of each dimension of logistics performance vary across sectors. Logistics infrastructures are more important for manufacturing growth and aggregate economic growth than for agricultural growth. The heterogeneity of the study's findings suggests that the importance and size of the relationship between economic growth and logistics performance depend on sectoral policies, economic policies, and other contexts. Therefore, investments in logistics services could help accelerate agricultural growth, manufacturing growth, and aggregate economic growth.
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