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China has been the most important economic partner to Korea since the resurrection of their diplomatic relationship and economic interaction. It has been suggested that China simultaneously presents challenges and opportunities to the Korean economy. This paper investigates changes in trade specialization patterns and comparative advantage of Korea and China, and analyzes the effect of market expansion of Chinese industries on market shares of Korean industries. It is found that since the early 1990s, the industries that lost market share as China’s share increased include those in which Korea has maintained a comparative advantage or improved the level of disadvantage, such as IT equipment and other transport equipments. Considering growth of trade flows and emergence of China, it is critical for Korea to actively participate in international production chains, create competitive edges and extend complementary relationship with trading partners.

Using Social Network Analysis (SNA), this paper examines the inter-country airline logistics relationships in East Asia. Based on the flight schedule data, which has been gathered by the authors, the overall features of airline logistics structure and the specific roles of each airport could be more clearly examined.

The main results of this paper are as follows: Beijing has the highest Degree Centrality, but excluding the domestic lines, Incheon has the highest Degree Centrality, which would imply that a relatively high Centrality of logistics for China’s airports is due to the greater number of domestic lines. The focal hub status of Incheon airport is also supported by the fact that Incheon contains the highest Betweenness Centrality.

Secondly, evaluated by the types of brokerage role, Incheon has a remarkably strong role as a liaison, which means Incheon airport functions as a transfer hub between two different regions outside of Korea. However, considering only the to/from China airline links, Hong Kong has the highest score as a liaison. These conflicting results imply that as China’s airline transportation continuously increases, Hong Kong will become a strong rival to Incheon.

Thirdly, in the analysis of Structural Hole which functions the broker and acts as a hub by linking unconnected airports, Incheon has the highest possibilities as a hub airport. However, only considering to/from China airlines, Hong Kong would dominate Incheon.

This paper aims to replicate 148 anomalies and to examine whether the performance of the Korean market anomalies is statistically and economically significant. First, the authors observe that only 37.8% anomalies in the universe of the KOSPI and the KOSDAQ and value-weighted portfolios have t-statistics that exceed 1.96. When the authors impose a higher threshold (an absolute value of t-statistics of 2.78), only 27.7% of the 148 anomalies survive. Second, microcaps have large impacts. The results vary significantly depending on whether the sample included stocks in the KOSDAQ and whether value-weighted or equal-weighted portfolios are used. The results suggest that data mining explains large portion of abnormal returns. Any tactical asset allocation strategies based on market anomalies should be applied very cautiously.

This study aims to introduce a deep neural network (DNN) to estimate the effective thermal conductivity of the flat heat pipe with spreading thermal resistance.

A total of 2,160 computational fluid dynamics simulation cases over up to 2,000 W/mK are conducted to regress big data and predict a wider range of effective thermal conductivity up to 10,000 W/mK. The deep neural networking is trained with reinforcement learning from 10–12 steps minimizing errors in each step. Another 8,640 CFD cases are used to validate.

Experimental, simulational and theoretical approaches are used to validate the DNN estimation for the same independent variables. The results from the two approaches show a good agreement with each other. In addition, the DNN method required less time when compared to the CFD.

The DNN method opens a new way to secure data while predicting in a wide range without experiments or simulations. If these technologies can be applied to thermal and materials engineering, they will be the key to solve thermal obstacles that many longing to overcome.

This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications, citations, impact factors, and centrality indices grew up in early 2010s, and diminished in 2020. Keyword network analysis reveals the JDQS's main keywords including behavioral finance, implied volatility, information asymmetry, price discovery, KOSPI200 futures, volatility, and KOSPI200 options. Citations of JDQS articles are mainly driven by article age, demeaned age squared, conference, nonacademic authors and language. In comparison between number of views and downloads for JDQS articles, we find that recent changes in publisher and editorial and publishing policies have increased visibility of JDQS.

After the COVID-19 outbreak began, travel demand dropped sharply and the potential impact of COVID-19 on sharing accommodations appears to be significant. Thus, it would be meaningful to investigate how travelers have changed their perceptions of staying at sharing accommodations in the wake of the coronavirus pandemic. The purpose of this research was to compare consumers' perceived risks of using sharing accommodations, such as Airbnb, before and during the coronavirus pandemic.

Paired sample t-tests were applied, using two surveys collected in 2017 (pre-pandemic) and 2020 (peri-pandemic). The effects of stress levels from COVID-19 and previous experience with sharing lodging services on risk perception changes were also examined.

Consumers showed higher social, physical, performance and convenience risk perceptions during the pandemic. Not surprisingly, those respondents who were more conscious of the pandemic in terms of concern and anxiety had higher changes in their risk perceptions. In addition, changes in risk perception differed by consumers' usage experience.

The results of this study add to the body of knowledge about consumers' risk perceptions of the sharing economy, particularly in connection with a huge disruption such as the COVID-19 pandemic.

This paper examines the influence Japan’s participation in the TPP negotiations will have on the course of subsequent East Asian economic integration, and mainly from the perspective of the three Northeast Asian countries of Japan, China and the ROK. In the first half, as a premise thereto, we first bring together the development of the FTA policies of China, the ROK and Japan, and then the connections with East Asian economic integration.

Since it is difficult for researchers to access data for the North Korean economy, they typically choose a proxy economy for estimating the economic impact of the unification of the two Koreas using a computational general equilibrium (CGE). This paper aims to identify the best proxy economy for North Korea out of the 140 economies (countries) in the Global Trade Analysis Project (GTAP) database version 9.1, which was published in mid-2015. (Ed- if your study aim is ‘to identify the best proxy economy for North Korea’, then you must state your study finding here in the abstract, and also in the conclusion, i.e., Romania) This paper evaluates the input-output (IO) tables for the North Korean economy in existing studies. Comparing the coefficients for North Korea in existing studies with those of the countries selected for this paper, substantial differences were found, especially for the services sector. This casts some doubt on the IO tables in the existing studies on the North Korean economy.

The government of Korea considers the promotion of Free Trade Agreements (FTA) as necessary to develop its economy into an open trading nation. As for the countries with which the Korean government is actively investigating possible FTAs, there are Japan, Singapore, the Association of South East Asian Nations (ASEAN,) and Mexico. For the time-being, the FTA with Japan seems to be a critical one in practicing Korea s FTA policy. Recently, Korean industries show negative positions against a Korea-Japan FTA, with strong opposition from the labor union insisting that it is evident that Korea will sustain damages in the short-run and the dynamic (long-term) benefits are still ambiguous and uncertain. Regardless of whether their argument is correct or not, it will be difficult for Korea to conclude the FTA with Japan unless there is concrete confidence of balanced economic gains through the FTA between the two countries.

Following the planned behaviour theory, the aim of the paper is to analyse the role played by brand attachment, brand characteristics and congruence in enhancing brand attitude while leading to revisit intentions and word-of-mouth (WOM) in the restaurant sector.

The study is based on the quantitative method and considered 464 questionnaires fulfilled by customers of restaurants. The data were explored employing the partial least square–structural equation modelling (PLS-SEM).

This study expands the literature about WOM and revisit intentions. The paper states that brand attitude positively influenced revisit intentions and WOM. Besides, findings highlighted that analysed concepts were positively correlated and that they played an important role in impacting revisit intentions and WOM, apart from one factor: social self-congruity, which was not significantly related to brand attitude.

The results of this paper show practitioners how to develop suitable strategies that set the bases for developing customer loyalty and repeat business. By putting into practice these suggestions in the restaurant sector, brands can easily build up their attitude and boost a positive WOM and the intention to revisit.

The study offers a conceptual framework to explore the significance of several factors, including revisit intentions and WOM. In practice, taking into account the proposed framework, it is suggested that restaurant managers should assess these two items using several factors including congruence, brand characteristics and brand attachment.