The purpose of this paper is to measure and forecast the macroeconomic performance in developed countries and Asian developing countries over the periods from 2013 to 2016 and 2017 to 2020. We used four macroeconomic indicators: government gross debt, real GDP growth, inflation rate, and unemployment rate to construct a scalar-valued summary measure of macroeconomic performance. These indicators are inspired by data envelopment analysis (DEA)-based models, which allow for unequal weighting of the different economic objectives. Based on the resampling models of DEA, we developed a research procedure for solving the macroeconomic performance problem by integrating gauge and forecast. Two variants of resampling models of DEA, i.e., past-present and past-present-future, were used to gauge and forecast the relative performance for each country in each year. Throughout the analysis, emphasis is placed on a comparison of the performances of 12 Asian developing countries with those of the five developed countries. Our empirical results reveal that Switzerland, Singapore, and the United States have achieved the most successful macroeconomic management in a time-series.

The food and beverage industry plays a significant role in the economic development of developing and emerging countries in Asia through an immense contribution to the national income, employment, value-added inducement, and foreign exchange earnings. Among the developing countries in Asia, Thailand and Vietnam have recently experienced a significant growth in the industry due to their many advantages. However, the nascent stage of this industry was found to be lacking sustainable competitiveness in both countries. Therefore, this study aims to evaluate and forecast the performance efficiency of the food and beverage industry in Thailand and Vietnam to understand how efficient the food and beverage industry to these countries is and formulate suggestions to improve their productivity in accordance with the research findings. To achieve the research objectives, the resampling method in the data envelopment analysis is applied to measure and forecast the efficiency of 20 Vietnamese companies and 20 Thailand firms over the period of 2016 to 2023. The Malmquist productivity index is deployed to calculate the efficiency change over observed periods. The results reveal that Vietnam is found to have a higher efficiency than Thailand due to the outstanding performance of one company but have performed quite poorly due to low scores in technical and productivity change. The findings of this research can give useful information and practical suggestions to improve performance for inefficient companies as well as enhance competitiveness of the efficient companies trying to operate and reach global markets.

The requirements and demand for personal security and public order have increased under great pressure from economic growth and society. This research applied the undesirable output model, which is a mathematical model, to measure the efficiencies of the security department in Taiwan. Further analysis has considered the efficient frontier to classify the efficiency of all 22 counties/cities in Taiwan in 2016, towards a sustainable security environment. The result of this research shown some cities have performed excellent efficiency in the security problem. According to analysis, the efficiency can be improved by decreasing excesses in inputs and bad outputs. This research has evaluated the police departments in Taiwan comprehensively and differentiated the efficiency in safety management of all police departments in Taiwan.