Exploratory study explicating value addition of emerging technologies in the infrastructure component of Logistics Performance Index (LPI)

India had undertaken several logistics development agendas.Initiatives were aligned to improve the logistics infrastructure in India. Advancement in technology had also benefited the logistics sector. Logistics Performance Index (LPI) has been a multi-dimensional evaluation criterion developed by the World Bank to assess logistics capabilities of countries. The LPI score of India had been low. Regarding this, present research study aimed to analyse the poor performance of India in LPI and how the deployment of emerging technologies could help improve it. The findings were based on a questionnaire shared with five experts. Delphi technique was applied for this study. The prioritization was identified through Analytical Hierarchy Process. The key findings in this study were prioritization of application of emerging technologies for various sub-dimensions of infrastructure like roadways, railways, ports, airports, warehouse, and institution. Emerging technologies like cloud computing, blockchain, internet of things were emphasized by experts to improve the infrastructure of India.

Analysis of Factors Affecting to The Competitiveness of The Logistics Enterprises in Mekong Delta, Vietnam under The Integration of Descriptive Statistics and Fuzzy-ISM Approach

This paper analyzes the influence of the factors belonging to the Logistics Performance Index (LPI) on the competitiveness of Logistics Enterprises (LEs) in the Mekong Delta (MD), Vietnam. The input factors will be selected from a rigorous document review process combined with an in-depth survey of leading experts in the logistics field. Since then, an integrated approach including Improved Descriptive Statistics (IDS) combined with Fuzzy Interpretive Structure Modeling (FISM) has been structured to achieve this purpose. Specifically, the factors that have the closest relationship with competitiveness will be determined from the results of an improved descriptive statistical method, then the results will be developed using the FISM method under trapezoidal fuzzy number format to realize the importance of factors contributing to improving the competitiveness of logistics companies. The results have shown the impact of 16 sub-factors, which belong in the 4 main factors of Reputation (REP); Timeliness (TIM); Customs (CUS); and Ease of arranging shipments (EAS), on the competitiveness of logistics enterprises in the region analyzed in 4 clusters (Dependency, Association, Autonomy and independence). In which, 6 out of 16 factors have a significant impact on competitiveness that logistics enterprises need to pay more attention to in their operations. These factors will be ranked as REP4, REP 5, REP3, REP1, REP2, EAS1, respectively.

COMPARATIVE IMPACT OF LOGISTICS PERFORMANCE INDEX, EASE OF DOING BUSINESS AND LOGISTICS COST ON ECONOMIC DEVELOPMENT: A FUZZY QCA ANALYSIS

This research papers aims to evaluate the impact of two major institutional indexes logistics performance index (LPI) and ease of doing business (EODB) along with logistics cost (LC) on the economic development (Gross domestic product – GDP per capita). The variables selected for the research study provides the comprehensive impact and forms the core of the economy for any country. Top seven economies of the world (China, France, Germany, India, Japan, United Kingdom and USA) along with Czech Republic, Singapore and Slovenia have been selected for this analysis. Mid-sized Economies of Czech Republic, Singapore, Slovenia have been selected for the regional balance of Asia and Europe and for cooperative results. A preliminary analysis of Pearson correlation analysis and detailed fuzzy qualitative comparative analysis have been opted for the study. The results illustrate that LPI is the core component for displaying the positive results on economic development. LC and EODB have displayed mixed results and will be studied in future research for identifying their impact on economic development. Future research will incorporate indexes such as global competitive index, innovation index for the evaluation of the combined impact on economic development.

Digital Logistics Platforms in the BRICS Countries: Comparative Analysis and Development Prospects

The BRICS Group unites the most rapidly developing large countries, the trade and economic interaction between which can make a significant contribution to both the region’s and world’s development. The purpose of this article is to analyze the development of trade and economic interaction and logistics infrastructure in the BRICS countries, as well as to develop an analytical concept of the BRICS Digital Logistics Platform (DLP) as a tool for the BRICS development. The research methodology includes methods for statistical data analysis, a case study of the DLP development in the BRICS countries, an analysis of the existing definitions and methods for developing DLP, and methods of systemic analysis. The research results present the trade and logistics interaction between the BRICS countries. The level of logistics development in these countries is analyzed based on the World Bank Logistics Performance Index. The article highlights the existing restrictions for the expansion of the economic interaction between countries, one of which is the uneven development of the logistics infrastructure. The article states that the BRICS DLP can be a tool for overcoming the limitation of uneven logistics infrastructure and intensifying trade interaction between the BRICS countries. The experience of creating national DLPs in each of the BRICS countries is analyzed. It is shown that the BRICS countries cannot join one of the existing national DLPs because of the risks for the national sovereignty of the participants. Therefore, an original analytical description for the international BRICS DLP is proposed. It will focus on the simplicity and transparency of the interaction between all of the participants of trade and economic interactions at various levels, as well as on the reduction of economic and logistics risks.

The Measurement of Logistics Industry Efficiency Based on the Construction of Tobacco Transport Logistics Infrastructure

With the increasingly fierce market competition, China’s tobacco industry has been severely tested. At the same time, according to the latest report of global Logistics Performance Index (LPI), there is a significant difference between China’s LPI and other developed countries, indicating that China’s logistics has low efficiency, high input and low output. How to improve the service level and operation efficiency of tobacco enterprises by strengthening the construction of logistics infrastructure network is an urgent problem for tobacco enterprises to solve. Therefore, DEA model and Malmquist index model are adopted in this paper to measure the logistics efficiency of Chinese tobacco enterprises from the aspect of logistics infrastructure network construction. This paper analyzes the state of logistics efficiency and the reasons of low efficiency in some economic regions and puts forward countermeasures and suggestions to improve the logistics efficiency of tobacco enterprises based on the construction of logistics infrastructure network.

Spatial Analysis of the 2018 Logistics Performance Index Using Multivariate Kernel Function to Improve Geographically Weighted Regression Models

This paper analyzes the 2018 Logistics Performance Index (LPI) from the World Bank to determine the spatial effects of countries’ logistics performance. Although the standardized ordinary least square (OLS) models show good results, the spatial lags and Moran’s I of LPI suggest the OLS assumptions are violated. Consequently, an improved geographically weighted regression (IGWR) model using multivariate kernel functions (MKF) is implemented. Through the analysis of the Moran scatter plot, the authors identified the countries that have different logistics performance development trends in the four quadrants representing the relationship between the spatial lags and the LPI. Using trade activity (i.e., import/export) in the MKF, the authors compared different MKF types and bandwidths to ensure the model’s predictability and accuracy and found that the adaptive Gaussian MKF is suitable. Finally, the IGWR model indicates both positive and negative influencing factors on LPI overall score. Specifically, the improvements of LPI are more associated to economic variables in mid- and low-income countries around the world, and are more related to import of construction equipment in the Middle East. Also, business environment is more important in Latin America and the Pacific. European countries are more sensitive to customs efficiency, whereas Pacific-Asian countries are more sensitive to quality of infrastructure and have higher coefficients than African and American countries. This spatial heterogeneity is related to the specific factors that promote the development of their logistics performance.

The role of digital technologies in the development of logistics in Kazakhstan in the formation of Industry 4.0

The purpose of this research is to study the provision of logistics services in the context of Industry 4.0 and analyze the level of application of modern technologies in the field of transport and logistics based on an assessment of the relationship between technological readiness, the development of innovation and the efficiency of logistics in Kazakhstan. Based on data from the World Bank and the World Economic Forum on the Logistics Performance Index (LPI) and Global Competitiveness (GCI), a correlation analysis was made between the indicators of technological readiness, innovation and the Logistics Performance sub-indices. Also, based on the data of a sample study by the Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan on the use of ICT, the main trends in the development of digital technologies in the field of transport and warehousing in the country have been identified. Correlation analysis showed that in Kazakhstan the level of technological readiness has a strong relationship with the development of logistics efficiency parameters: customs, tracking of cargo transportation, quality of service and competence, quality of infrastructure, adherence to delivery times. It should be noted that the development of logistics is not associated with the innovative development of the country, this is due to the low level of innovation in the country. The study of statistical data in Kazakhstan revealed a low level of digital transformation of the transport and logistics sector: there is a passive use of digital technologies at transport and warehousing enterprises, a low level of investment in digitalization, the need for personnel in the field of ICT in logistics.