Narrow Results

This study investigates Vietnam’s Outward Foreign Direct Investment (OFDI) spanning from 1990 to 2022, utilizing the Triple Bottom Line (TBL) framework alongside the Fully Modified Ordinary Least Squares technique. The observed positive correlation between CO₂ emissions and foreign investment underscores the importance of corporate sustainability. Vietnam’s extensive forested land, comprising 41.89% of its total area, emerges as a pivotal factor in attracting environmentally conscious investors. On the social front, the population size demonstrates a negative impact on OFDI due to heightened competition within the domestic labor market. Regarding economic variables, the Consumer Price Index and patent applications exhibit minimal effects, whereas a growing Gross Domestic Product (GDP) substantially boosts foreign investments. The proposed practical policies for promoting OFDI include reinforcing environmental regulations, incentivizing the adoption of eco-friendly technologies and prioritizing the conservation of forested areas.

Genetic algorithms (GAs) have been well applied in solving scheduling problems and their performance advantages have also been recognized. However, practitioners are often troubled by parameters setting when they are tuning GAs. Population Size (PS) has been shown to greatly affect the efficiency of GAs. Although some population sizing models exist in the literature, reasonable population sizing for task scheduling is rarely observed. In this paper, based on the PS deciding model proposed by Harik, we present a model to represent the relation between the success ratio and the PS for the GA applied in time-critical task scheduling, in which the efficiency of GAs is more necessitated than in solving other kinds of problems. Our model only needs some parameters easy to know through proper simplifications and approximations. Hence, our model is applicable. Finally, our model is verified through experiments.

A standard Genetic Algorithm is applied to a set of test problems, three of them taken from physics and the rest analytical expressions explicitly constructed to test search procedures. The relation between mutation rate and population size in the search for optimum performance is obtained showing similar behavior in these problems.