Earticle

Background/Objective: The purpose of this paper is to reveal the effect of real exchange rate changes on export-import proportion and industries’ export or import proportion under the average wage ratio change using ARMA. Methods/Statistical analysis: Using ARMA and Panel data Model, after inferring a new formula according to the firms’ heterogeneity model and rural-led real exchange rate appreciation (RERA) model. Findings: Given the average changes of wage ratio, the real exchange rate appreciation can lead to the decrease of proportion of export industries, lead to the increase of proportion of import industries, vice versa. Improvement/Application: To further verify these effects, the robust estimations in ARMA and Panel data model using monthly industry-data from manufacturing industry-data (1996-2019, inedible raw material, chemical products and machinery-transportation equipment) and the whole export industry-data (1994-2019) between the U.S. and China suggest the similar results.

Background/Objectives: This study is a basic stage of research to expand support for cervical cancer vaccines. Methods/Statistical analysis: Data was collected and refined and analyzed using R and Excel, which are statistical tools for big data analysis. A survey was conducted on college students in their 20s and tried to analyze it. Findings: In addition, as a result of conducting a correlation analysis with the factors affecting cervical cancer through R, it was found that they were related to each other. Improvements/Applications: The results of this study suggested the need for cervical cancer vaccine support from the government and suggested ways to expand it.

Background/Objectives: The purpose of this study is to compare and analyze the differences between producers and experts based on consumers' perceptions of GM agricultural products. Methods/Statistical analysis: To this end, we analyzed how consumers, producers, and experts' perceptions differ with group-specific comparative analysis data on genetically modified agricultural products previously investigated. Findings: As a result of the analysis, it was found that consumers thought genetically modified agricultural products and foods were generally harmful to the human body compared to producers and experts, and fear was also great. When analyzing consumers' perception of whether a genetically modified food labeling system is needed through additional analysis, consumers think it should be marked on the product through a genetically modified food labeling system, but they usually purchase it without checking whether it is marked. Improvements/Applications: Through comparative analysis of consumer perception, a strategic plan for changing consumer perception was proposed along with institutional supplementation of the genetic modification labeling system in the future.