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The impacts of the COVID-19 pandemic have transformed the global outlook for international higher education. Given the rapid shift to online learning, the Tokyo Convention in the Asia-Pacific entrusted to UNESCO has become an important policy framework to facilitate regional collaboration, authoritative information sharing and recognition of qualifications across diverse modes of learning. This paper examines the role of the Tokyo Convention to establish an inclusive platform for monitoring and collaborative governance of mobility and internationalization based on fair and transparent recognition policies and practices in the Asia-Pacific.

In August 2019, a standardized survey instrument was sent by the Secretariat of the Tokyo Convention Committee at UNESCO Bangkok to competent recognition authorities in 46 countries in the Asia-Pacific, including the eight State Parties to the Tokyo Convention that ratified the Convention as of the reporting period. In total, qualitative data from n = 27 countries/states was received and analyzed to assess implementation of the Tokyo Convention throughout the region. The research design illustrates how normative instruments such as the Tokyo Convention are monitored and assessed over time.

A multi-stakeholder approach based on collaborative governance is needed to effectively monitor implementation and implications of the Tokyo Convention for diverse higher education stakeholders in the Asia-Pacific region.

Implications include establishing baseline data and methods for monitoring implementation of the Tokyo Convention. Based on collaborative governance theory, the paper explores potential for a multi-stakeholder approach to promote mutual accountability in the Asia-Pacific and to develop mechanisms for inclusive participation in the governance of the forthcoming Global Convention on recognition.

As the first systematic review of its kind, this paper includes a unique dataset and insights into UNESCO's methodology to monitor implementation of standard-setting instruments for qualifications recognition in the Asia-Pacific.

This study adopts the multi-step model developed by Avraham and Ketter (2008), for altering place images, based on past academic literature on destination marketing. The purpose of this study is to determine the state of Fukushima’s sake breweries before and after 2011, and its strategies for overcoming negative images and strengthening regional branding. Semi-structured interviews were conducted with seven sake breweries in Fukushima.

Fukushima Prefecture, located in northern Japan, is renowned for its hot springs, lakes, historical architecture, gastronomy, and particularly its sake (or Japanese rice wine). However, pre-existing problems such as the prefecture’s changing demographics and economic development, the effects of the 2011 Great East Japan Earthquake (GEJE) and fears of radioactive contamination have made consumers reluctant to consume products from the region or to visit the prefecture. This study illustrates how various sake brewery stakeholders have sought to reverse and alter negative images associated with the prefecture. To examine these initiatives, this study uses the multi-step destination marketing and counter-branding model to identify the strategies and techniques used by the stakeholders, with the aim of altering the way the prefecture is perceived and reversing the negative image people may have of the prefecture. To acquire data for this model, this study uses semi-structured interviews conducted in 2018 and 2020 with local sake breweries, tourism associations and the local government on how they sought to retore a positive image of the prefecture and rebrand it into a new type of tourism destination that focuses on the strengths of its breweries.

The results indicate that through a combination of collaboration between the breweries, local government and the local communities, the sake breweries were able to reverse many of the negative effects of the 2011 GEJE. The success of the sake industry has prompted the local government to focus more strongly on tourism marketing that places sake products and breweries at the center of its campaign to promote the region.

While this paper focuses on the recovery of breweries, it does not include the recovery of wineries in Fukushima, which have made similar progress in their recovery. In addition, the interviews focused primarily on the perspectives of the suppliers and not the consumers.

The results of this research can help guide other destinations undergoing prolonged association with negative images on the path toward image recovery. In particular, this paper highlights the importance of a coordinated strategy by all stakeholders, the local government, businesses and communities, to create a united image and response for addressing the causes of these image problems and to create new opportunities for all stakeholders.

This research contributes to the field of image restoration, which combines theories regarding destination marketing and crisis management. Also, the research highlights the importance of collective stakeholder mobilization when attempting to help communities that are facing economic and tourism crises.

Automated driving systems (ADSs) are being developed to avoid human error and improve driving safety. However, limited focus has been given to the fallback behavior of automated vehicles, which act as a fail-safe mechanism to deal with safety issues resulting from sensor failure. Therefore, this study aims to establish a fallback control approach aimed at driving an automated vehicle to a safe parking lane under perceptive sensor malfunction.

Owing to an undetected area resulting from a front sensor malfunction, the proposed ADS first creates virtual vehicles to replace existing vehicles in the undetected area. Afterward, the virtual vehicles are assumed to perform the most hazardous driving behavior toward the host vehicle; an adaptive model predictive control algorithm is then presented to optimize the control task during the fallback procedure, avoiding potential collisions with surrounding vehicles. This fallback approach was tested in typical cases related to car-following and lane changes.

It is confirmed that the host vehicle avoid collision with the surrounding vehicles during the fallback procedure, revealing that the proposed method is effective for the test scenarios.

This study presents a model for the path-planning problem regarding an automated vehicle under perceptive sensor failure, and it proposes an original path-planning approach based on virtual vehicle scheme to improve the safety of an automated vehicle during a fallback procedure. This proposal gives a different view on the fallback safety problem from the normal strategy, in which the mode is switched to manual if a driver is available or the vehicle is instantly stopped.

This study aims to assess the technological capability of Chinese internet platforms (BAT: Baidu, Alibaba, Tencent) compared to US ones (GAFA: Google, Amazon, Facebook, Apple). More specifically, this study explores Baidu’s technological catching-up process with Google by analyzing their patent textual information.

The authors retrieved 26,383 Google patents and 6,695 Baidu patents from PATSTAT 2019 Spring version. The collected patent documents were vectorized using the Word2Vec model first, and then K-means clustering was applied to visualize the technological space of two firms. Finally, novel indicators were proposed to capture the technological catching-up process between Baidu and Google.

The results show that Baidu follows a trend of US rather than Chinese technology which suggests Baidu is aggressively seeking to catch up with US players in the process of its technological development. At the same time, the impact index of Baidu patents increases over time, reflecting its upgrading of technological competitiveness.

This study proposed a new method to analyze technology mapping and evolution based on patent text information. As both US and China are crucial players in the internet industry, it is vital for policymakers in third countries to understand the technological capacity and competitiveness of both countries to develop strategic partnerships effectively.

The study seeks to find the effect of financial leverage on the firm performance of non-financial companies listed in the Tokyo stock market.

The study collected data from 263 companies in the automobile and industrial producer sectors listed on the Tokyo stock exchange between 2001 and 2021. The generalized method of moments was used to estimate the effect of leverage on financial performance due to its ability to overcome the problems of endogeneity and autocorrelation.

The study found that the equity multiplier has a positive and statistically significant effect on return on assets (ROA), return on equity (ROE) and earning per share (EPS). The study discovered that the interest coverage ratio has a positive and statistically significant effect on ROA, ROE, EPS and Tobin’s Q. The results revealed that the degree of financial leverage and debt to earnings before interest, taxes, depreciation and amortization (EBITDA) have a negative and statistically significant effect on ROE, EPS and Tobin’s Q. The study also found that the capitalization ratios of the firms have a negative and statistically significant effect on ROA, ROE, EPS and Tobin’s Q.

The use of debt financing, which presents financial leverage, indicates that the companies can make enough earnings to pay off the interest and principal (debt service obligations), which were shown by the interest coverage ratio, as well as to pay all the long-term fixed expenses, which were shown by the fixed charge coverage ratio. Interest and fixed charge coverage have a positive statistically significant effect on the financial performance of automobile and industrial producer companies.

The study focused on the effect of financial leverage on financial performance by relying on pecking and trade-off theories to contribute to the existing body of literature in finance.

Since the 2010s, market conditions for container shipping companies have been deteriorating owing to decreasing container cargo trade and increasing supply capacity. This study aims to contribute to the empirical literature on the container shipping industry market structure. Specifically, this study aims to investigate the extent of market competition.

This study analyzes the market structure and evaluates the market power of shipping companies through a non-structural test.

The H-statistic for the entire period of 2004–2018 was 0.37, which is significantly different from zero. This indicates the absence of monopoly pricing throughout the entire period. For the time-phased estimates, the H-statistic between 2004 and 2008 is 0.15, which is not significantly different from zero. On the other hand, the H-statistic from 2009 to 2018 was 0.40, which differs significantly from zero.

As the Far East Freight Conference had released tariffs and charge rates by item for container shipping routes, monopolistic pricing is said to have appeared until the European Union abolished the European Economic Community (No. 4056/86) in 2008, before the economic crisis. However, this study indicates that pricing in the container shipping industry has been distinctly non-monopolistic; further, competition seems to have intensified since 2008. Industry competitiveness is of interest not only to academics but also to practitioners, including policymakers, especially when considering competition policies.

In the maritime industry, it is vital to have a reliable forecast of container shipping demand. Although indicators of economic conditions have been used in modeling container shipping demand on major routes such as those from East Asia to the USA, the duration of such indicators’ effects on container movement demand have not been systematically examined. To bridge this gap in research, this study aims to identify the important US economic indicators that significantly affect the volume of container movements and empirically reveal the duration of such impacts.

The durability of economic indicators on container movements is identified by a vector autoregression (VAR) model using monthly-based time-series data. In the VAR model, this paper can analyze the effect of economic indicators at t-k on container movement at time t. In the model, this paper considers nine US economic indicators as explanatory variables that are likely to affect container movements. Time-series data are used for 228 months from January 2001 to December 2019.

In the mainland China route, “building permission” receives high impact and has a duration of 14 months, reflecting the fact that China exports a high volume of housing-related goods to the USA. Regarding the South Korea and Japan routes, where high volumes of machinery goods are exported to the USA, the “index of industrial production” receives a high impact with 11 and 13 months’ duration, respectively. On the Taiwan route, as several types of goods are transported with significant shares, “building permits” and “index of industrial production” have important effects.

Freight demand forecasting for bulk cargo is a popular research field because of the public availability of several time-series data. However, no study to date has measured the impact and durability of economic indicators on container movement. To bridge the gap in the literature in terms of the impact of economic indicators and their durability, this paper developed a time-series model of the container movement from East Asia to the USA.

This study aims to examine the rationales for and obstacles to developing a national qualifications framework (NQF) in Japan. From a research perspective, it attempts to propose a model of a qualifications framework in the national context to provoke further political discussion in developing the Japanese Qualifications Framework (JQF).

To propose a possible model of a qualifications framework in the Japanese context, this study employs a qualitative document analysis approach to known NQFs. Next, based on documents and the literature, including government data and the United Nations Educational, Scientific and Cultural Organization’s Tokyo Convention (2011a, b), this study analyzes the motives and challenges in developing the JQF.

Japanese motives to develop the JQF can be summarized in four conditions: (a) International expectations along with the Tokyo Convention and establishment of the National Information Center, (b) avoiding qualification holders’ disadvantages in mobility, (c) quality assurance of qualifications with a competence-based approach and (d) lifelong learning by promoting recognition of diverse learning. The challenges in developing the JQF are (a) fitness with the traditional employment system and (b) multiple stakeholders’ involvement. The current priority in developing an NQF in Japan is to make educational qualification information “visible” based on legal grounds, particularly entrance requirements, to facilitate mobility.

This study explores the possibility of the JQF by summarizing the background and roles of NQFs worldwide and clarifying the motives and challenges for developing the JQF. This study provides suggestions for the possible qualifications framework model in the Japanese context from academic and practical perspectives in Japan, where official discussions on establishing an NQF have not progressed. Ensuring the international compatibility of qualifications so that qualification holders can smoothly take the next step in their studies and employment is important.

Occupational stress-relating overwork among teachers predispose to mental disorders and eventually lead to long leave from work. Although some studies have been conducted to assess these problems among elementary and junior high school teachers, a quantitative investigation has been limited to date. In this study, the authors sought to explore the association between overwork and mental stress among Japanese elementary and junior high school teachers.

An exploratory cross-sectional questionnaire survey was carried out on 294 Japanese elementary and junior high school teachers. The respondents filled a questionnaire on personal data, and occupational stress reaction was evaluated by Japanese version of Brief Job Questionnaire. Multiple linear regression model was used to evaluate the association between overwork information and psychological and physical stress.

Working during holidays was significantly likely to increase psychological and physical stress reactions among elementary school teachers (adjusted mean difference = −1.67, 95% CI: −2.81 to −0.54) and junior high school teachers (adjusted mean difference = −5.24, 95% CI: −9.60 to −0.87). A weakly positive association was found between high risk of psychological and physical stress and marital status (p = 0.005), teacher in charge of class (p = 0.015) among elementary school teachers.

This study indicated an association between working during holidays and psychological and physical stress reactions among elementary and junior high school teachers after adjusting for sociodemographic and work-related status. Further study for the confirmation of this finding is warranted.