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Sharing is one of the keywords for next-generation mobility, and sharing services such as carsharing are rapidly expanding. Since October 2019, Gunma University has been conducting a car sharing demonstration experiment, and the car sharing system can be used by university students and university faculty and staff. In parallel with the demonstration experiments, we conduct a mobility survey targeting university students once or twice a year. In this paper, we introduce the state of the demonstration experiment, and also describe the analysis results of the mobility survey.

In this paper, we will organize the specific changes in the contents of "High school recommendation type entrance examination" that started from the 2021 . In addition, we will investigate the implementation status of "high school recommendation type entrance examination" at national universities from the entrance examination information of each university and clarify it in a list. Furthermore, based on public data, we will analyze the characteristics of national universities that impose a common test for university entrance in the "High school recommendation type entrance examination" and discuss the future.

In this paper, we focused on the “Comprehensive selection” that started with the “2021 entrance examination.” Then, the history of the beginning of “Comprehensive selection” in Japan is organized, and the current state of “Comprehensive selection” at national universities is disclosed on the websites of each national university and the Ministry of Education, Culture, Sports, Science and Technology. Based on the entrance examination information that has been conducted, we conducted an independent survey and clarified it.

On April 6, 2020, Gunma University- launched venture company “GUDi” developed and announced a copper fiber sheet that has an infection-preventing effect against the COVID-19, and until March 31, 2021. It has been featured in the media 54 times in a year. In this paper, what was the reason why one University-launched venture company, which was only three years old, was featured in so many media? Looking back on the three press releases and the attributes of the media, we considered the ideal public relations strategy centered on the publicity of university-launched venture companies.

In this paper, we look back at the history of the birth of the profession called the “Admission Officers” belonging to the admission center of the national university. How many “Admission Officers” exist in national universities in Japan, and their personnel composition is we will clarify what is going on. In addition, we would like to consider the current status, issues, and future of "Admission Officers" in which faculty members are mainly in Japan.

While working as an Admission Coordinator at Gunma University from June 2019, we became aware of the issue of the role and position of the Admission Center at various national universities. The purpose of this paper is to clarify the current role and position of the Admission Center, which was established at a national university in the 2000s. Under these circumstances, it was found that the government's recent High School/University Articulation Reforms have affected the operations of the Admission Center, and its role has been expanding.

This study evaluates the relative efficiencies of Japan Railway companies (hereinafter“JRs” and Japan's major private railway companies (hereinafter“Private Railways”), using various types of DEA (Data Envelopment Analysis). As the ninth report , this paper verifies the effects on the privatization and separation of JNR ( Japan National Railways) to the relative efficiency and inefficiency of JRs and Private Railways by using the parametric and nonparametric test of DEA and Inverted DEA (Inverted Data Envelopment Analysis). More specifically, in this paper, the first step of the evaluation of the relative efficiencies and inefficiencies to the productivity and others of each JR and Private Railways for a total of 19 years after the privatization and separation of JNR by using DEA and Inverted DEA. The second step of the verification of the effects on the privatization and separation of JNR to the productivity and others of the JR's Honshu 3-companies (East Japan Railway, Central Japan Railway and West Japan Railway) and Private Railways by using the parametric and nonparametric test of DEA and Inverted DEA are clarified. The third step of the verification of the effects on the privatization and separation of JNR to the productivity and others of the JR's 3-islands companies (Hokkaido Railway, Shikoku Railway and Kyushu Railway) and Private Railways, by using the parametric and nonparametric test of DEA and Inverted DEA are clarified. The verification of the effects on the privatization and separation of JNR of the productivity and others of the JR's Honshu 3-companies and the JR's 3-islands companies were identified statistically.

This study evaluates the relative efficiencies of Japan Railway companies (hereinafter “JRs”) and Japan's major private railway companies (hereinafter “Private Railways”), using various types of DEA (Data Envelopment Analysis). As the eighth report, this paper verifies the effects on the privatization and separation of JNR (Japan National Railways) to the relative efficiency and inefficiency of JRs and Private Railways by using the parametric and nonparametric test of DEA and Inverted DEA (Inverted Data Envelopment Analysis). More specifically, in this paper, the first step of the evaluation of the relative efficiencies and inefficiencies to the productivity and others of each JR and Private Railways for a total of 19 years after the privatization and separation of JNR by using DEA and Inverted DEA. The second step of the verification of the effects on the privatization and separation of JNR to the productivity and others of each JR and Private Railways by using the parametric and nonparametric test of DEA and Inverted DEA are clarified. The verification of the effects on the privatization and separation of JNR of the productivity and others of each JR was identified statistically.

This paper is verifying of the effects on the electric power deregulation in Japan to the productivity of each electric power company by using the parametric and nonparametric test of the DEA (Data Envelopment Analysis) and the Inverted DEA (Inverted Data Envelopment Analysis). In this paper, the first step of the evaluation of the relative efficiencies and inefficiencies of each electric power company for a total of 21 years before and after electric power deregulation. The second step of the verification of the effects on the electric power deregulation in Japan to the productivity of each electric power company by using the parametric and nonparametric test of the DEA and the Inverted DEA are clarified. The verification of the effects on the electric power deregulation of the productivity of each electric power company was identified statistically.

This study evaluates the relative efficiencies of Japan Railway companies and Japan's major private railway companies, using various types of DEA (Data Envelopment Analysis). As the seventh step of the evaluation, this paper illustrates trends of the results of the relative efficiencies and inefficiencies of each Japan Railway company using the DEA/Window Analysis and the Inverted DEA/Window Analysis by a total of 19 years after privatization and separation of the Japan National Railways. In this paper, trends of the relative efficiencies and inefficiencies of each Japan Railway company became clear by various illustrations. In the past papers of the author, the first step of the evaluation focused on the time series performance data analysis of the Japan Railway companies. The second step of the evaluation focused on the relative efficiencies of Japan Railway companies using the DEA/Window Analysis. The third step of the evaluation focused on the relative inefficiencies of Japan Railway companies using the Inverted DEA/Window Analysis. The fourth and fifth steps of the evaluation focused on the relative efficiencies and inefficiencies of Japan's major private railway companies (in eastern and western Japan) using the DEA/Window Analysis and the Inverted DEA/Window Analysis. The sixth step of the evaluation was illustrated by using the Candlestick for trends of those results of the relative efficiencies and inefficiencies of each railway company.

This study evaluates the relative efficiencies for productivity of each electric power company in Japan, using the DEA/Window Analysis (Data Envelopment Analysis/Window Analysis) and the Inverted DEA/Window Analysis (Inverted Data Envelopment Analysis/Window Analysis). The first stage of this evaluation described the trends of the relative efficiencies and inefficiencies of each electric power company for a total of 21 years before and after electric power deregulation. In the second stage of this evaluation, this paper analyzes trends of the relative efficiencies and inefficiencies of each electric power company for a total of 20 years after electric power deregulation. In this paper, trends of the relative efficiencies and inefficiencies of each electric power company became clear by various illustrations. The detailed trends of the productivity of each electric power company were also identified.

This study evaluates the relative efficiencies of Japan Railway companies and Japan’s major\nprivate railway companies, using various types of DEA (Data Envelopment Analysis). As the\nfifth step of the evaluation, this paper evaluates the relative efficiencies and inefficiencies of\nJapan’s major private railway companies in western Japan using the DEA/Window Analysis and\nthe Inverted DEA/Window Analysis. In this paper, trends of the relative efficiencies and\ninefficiencies of each Japan’s major private railway company in western Japan became clear by\ncomparing with each Japan Railway company. On the other hand,the first step of the evaluation\nfocused on the time series performance data analysis of the Japan Railway companies. The\nsecond step of the evaluation focused on the relative efficiencies of Japan Railway companies\nusing the DEA/Window Analysis. The third step of the evaluation focused on the relative\ninefficiencies of Japan Railway companies using the Inverted DEA/Window Analysis as a\nvariation of Inverted DEA. The fourth step of the evaluation focused on the relative efficiencies and inefficiencies of Japan’s major private railway companies in eastern Japan using the DEA/\nWindow Analysis and the Inverted DEA/Window Analysis.

This study evaluates the relative efficiencies of Japan Railway companies and Japan's major\nprivate railway companies, using various types of DEA(Data Envelopment Analysis). The first\nstep of the evaluation focused on the time series perfoumance data analysis of the Japan Railway\ncompanies. The second step of the evaluation focused on the relative efficiencies of Japan\nRailway companies using the DEA/Window Analysis (Data Envelopment AnalysisfXVindow\nAnalysis). The third step of the evaluation focused on the relative inefficiencies of Japan\nRailway companies using the Inverted DEA/Window Analysis (Inverted Data Envelopment\nAnalysis/Window Analysis)as a variation of Inverted DEA(Inverted Data Envelopment Analy-\nsis). As the fourth step of the evaluation, this paper evaluates the relative efficiencies and\ninefficiencies of Japan's major private railway companies in eastern Japan using the DEA/\nWindow Analysis and the Inverted DEA/Window Analysis. In this paper, trends of the relative\nefficiencies and inefficiencies of each Japan's major private railway company in eastem Japan became clear by comparing with each Japan Railway company.