The importance of country-level logistics efficiency assessment to the development of international trade

Beysenbaev, Ruslan

doi:10.22406/bjser-18-3.6-13-20

Cited by 6 publications

(2 citation statements)

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“…Wang and Choi (2018) determined that logistics performance is effective in increasing the volume of exports and imports with the panel data analysis method. Beysenbaev (2018) showed the logistics performances among the key factors that cause fluctuations in the trade volumes of the countries.…”

Section: Literature Reviewmentioning

confidence: 99%

Clustering of Developing Countries in Terms of Logistics Market Development with Fuzzy Clustering and Discriminant Analysis

Kara

2023

Journal of Yaşar University

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Logistics performance indicators are important in determining the market development levels of countries. Especially the logistics markets of developing countries play an active role in increasing the country's economy and trade volumes. In this research, it is aimed to cluster the developing countries according to their level of logistics market development in 2022. For this reason, fuzzy clustering and discriminant analyzes have been applied in the research. The sample area of the study consists of 50 developing countries. The data of the research have been taken from The Agility Emerging Markets Logistics Index reports. The research has been carried out in two phases. In the first phase, developing countries are classified by fuzzy cluster analysis. According to the analysis findings, 2 clusters have been obtained as high and low logistics market development cluster. In the second phase, discriminant analysis has been conducted to test the cluster membership of clustered countries. According to the discriminant analysis findings, all cluster memberships have been confirmed. As a result of the research, the cluster membership status of the developing countries and cluster centers according to the variables have been determined and the obtained implications have been presented.

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Section: Literature Reviewmentioning

confidence: 99%

Clustering of Developing Countries in Terms of Logistics Market Development with Fuzzy Clustering and Discriminant Analysis

Kara

2023

Journal of Yaşar University

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“…Integration of logistics is positively correlated with a firm's or a sector's competitiveness (Mellat-Parast and Spillan, 2014). Researchers observed a positive relationship between world trade with key logistical indicators (Beysenbaev, 2018;Gani, 2017). However, logistics processes constantly adapt and change, implying a change in volume of business with logistics development and vice-versa (Duˇsko & Boˇzica, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

Assessing a Country's Sector-Specific Logistics Performance: The Case of India's Marine-Product Sector

Chakrabartty¹,

Sinha²

2022

JML

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Country-wise Logistics Performance Index (LPI) is insufficient to guide changing policies for different sectors with varied logistics requirements and perspectives. Each perspective has various measures, and hence a battery of scales is mandated to measure the performance for an individual sector like marine, agriculture, and similar. For the marine-product sector of India, scores are transformed and combined to follow normal distributions enabling parametric analysis. A method of sector-specific logistics performance index (LPI-S) is proposed addressing multi-dimensional, multi-scale response categories satisfying the desired properties of an index. An empirical illustration is given to assess LPI-S for the marine-product sector in India, combining responses of 141 Indian marine exporters in a battery with nine dimensions. The proposed method generates continuous, monotonic data, and distributions of dimension/battery scores are normal. The LPI-S scores have better arithmetic aggregation admissibility, even if lengths of dimensions are different. In addition, it identifies critical dimensions, detects changes by longitudinal data, and dimension-wise elasticity reflecting the sensitivity of the dimension from snap-shot data. Irrespective of dimensions and types of data, the proposed methodology uses the sensitivity of a dimension on LPI-S to help policy makings separately for individual categories to improve logistics efficiency. The study identified eight crucial dimensions associated with marine product logistics. The sensitivity of these dimensions in the descending order of importance were - Information system, Regulatory process, Safety & Security issues, Timeliness and Completeness efficiency, Sustainability in logistics, Operating conditions, Logistics facility pricing, Quality of Logistic services, Transportation Networks and Logistics infrastructure. Such ordering of dimensions help in deciding policy priorities.

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Improving the Efficiency of Transportation and Distribution of Goods in Modern Conditions

Raimbekov

Sładkowski

Syzdykbayeva

et al. 2022

Studies in Systems, Decision and Control

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The importance of country-level logistics efficiency assessment to the development of international trade

Cited by 6 publications

References 0 publications

Clustering of Developing Countries in Terms of Logistics Market Development with Fuzzy Clustering and Discriminant Analysis

Clustering of Developing Countries in Terms of Logistics Market Development with Fuzzy Clustering and Discriminant Analysis

Assessing a Country's Sector-Specific Logistics Performance: The Case of India's Marine-Product Sector

Improving the Efficiency of Transportation and Distribution of Goods in Modern Conditions

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