Assessing Asian Countries' Competitiveness: Two-Stage DEA Analysis of Global Innovation Index and Logistics Performance Index Integration
Description
This dataset is associated with the article titled "Assessing Asian Countries' Competitiveness: Two-Stage DEA Analysis of Global Innovation Index and Logistics Performance Index Integration" explores the competitiveness of Asian countries through a two-stage DEA (Data Envelopment Analysis) analysis. The study combines the Global Innovation Index (GII) and the Logistics Performance Index (LPI) to provide a comprehensive assessment. The researchers aim to evaluate the innovation capabilities and logistics performance of Asian countries to understand their competitiveness in the global market. The GII measures countries' innovation performance based on various indicators, including institutions, human capital, infrastructure, market sophistication, business sophistication, knowledge and technology outputs, and creative outputs. On the other hand, the LPI assesses the efficiency and effectiveness of logistics performance, considering aspects such as infrastructure quality, customs efficiency, logistics competence, tracking and tracing, and timeliness. To conduct the analysis, the researchers employ a two-stage DEA approach. In the first stage, they evaluate each country's efficiency scores separately for innovation and logistics using DEA models. In the second stage, the efficiency scores from both stages are integrated to obtain an overall competitiveness score for each country. This integration allows for a holistic assessment of a country's competitiveness, considering both innovation and logistics aspects. The study focuses specifically on Asian countries and provides a detailed analysis of their competitiveness. The findings highlight the variations in innovation capabilities and logistics performance across the region. By identifying the strengths and weaknesses of each country, policymakers and stakeholders can make informed decisions to enhance competitiveness and economic growth.
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Steps to reproduce
The process involves two key steps: data collection and analysis using specific software. Here is a summary of the steps mentioned: Data Collection: The researchers collected the necessary data from various sources to create a comprehensive dataset. This dataset likely includes relevant variables for measuring innovation capabilities and logistics performance of Asian countries. The specific indicators used in the Global Innovation Index (GII) and Logistics Performance Index (LPI) were probably included in the dataset. The data could encompass multiple years to observe trends and changes in competitiveness over time. Analysis Using DEA Solver V13 Software: The researchers utilized DEA Solver V13 software, a tool commonly employed for Data Envelopment Analysis (DEA), to conduct their analysis. They applied the Super SBM (Slack-Based Measure) model to calculate the efficiency scores for each year. This model helps evaluate the efficiency of each country in terms of innovation and logistics separately. By using this model, the researchers could assess the relative performance of countries based on their inputs and outputs in these areas. Additionally, the researchers employed the Malmquist model, another component of DEA Solver V13 software. This model allows for the examination of comprehensive shifts in productivity and competitiveness over time.