Korea, which is expected to enter a super-aged society in 2025, is facing the most worrisome crisis worldwide. Efforts are urgently required to examine problems and countermeasures from various angles and to improve the shortcomings. In this regard, from a new viewpoint, we intend to derive useful implications by applying the recent natural language processing techniques to online articles. More specifically, we derive three research questions: First, what topics are being reported in the online media and what is the public's response to them? Second, what is the relationship between these aging-related topics and individual happiness factors? Third, what are the strategic directions and implications for benchmarking discussed to solve the problem of population aging? To find answers to these, we collect Naver portal articles related to population aging and their classification categories, comments, and number of comments, including other numerical data. From the data, we firstly derive 33 topics with a semi-supervised BERTopic by reflecting article classification information that was not used in previous studies, conducting sentiment analysis of comments on them with a current open-source large language model. We also examine the relationship between the derived topics and personal happiness factors extended to Alderfer's ERG dimension, carrying out additional 3~4-gram keyword frequency analysis, trend analysis, text network analysis based on 3~4-gram keywords, etc. Through this multifaceted approach, we present diverse fresh insights from practical and theoretical perspectives.
Purpose - This study analyzed the decoupling phenomenon between energy consumption and economic growth in Korea from 1990 to 2021. The main purpose of this study is to suggest policy implications for achieving a low-carbon society and decoupling that Korea must move forward in the face of the climate change crisis. Design/methodology/approach - This study investigated the relationship between energy consumption and economic growth by energy source and sector using the energy-EKC (EEKC) hypothesis which included the energy consumption on the traditional Environmental Kuznets Curve (EKC), and the impulse response function (IRF) model based on Bayesian vector auto-regression (BVAR). Findings - During the analysis period, the trend of decoupling of energy consumption and economic growth in Korea is confirmed starting from 1996. However, the decoupling tendency appeared differently depending on the differences in energy consumption by sources and fields. The results of the IRF model using data on energy consumption by source showed that the impact of GDP and renewable energy consumption resulted in an increase in energy consumption of bio and waste, but a decrease in energy consumption by sources, and the impact of trade dependence was found to increase the consumption of petroleum products. Research implications or Originality - According to the main results, efficient distribution by existing energy source is required through expansion of development of not only renewable energy but also alternative energy. Additionally, in order to increase the effectiveness of existing energy policies to achieve carbon neutrality, more detailed strategies by source and sector of energy consumption are needed.
Kang, Jino;Kim, Hye Ri;Min, Kyungjoon;Kim, Na Ryoung;Heo, Yoon Kyung;Kim, Sun Mi
Korean Journal of Psychosomatic Medicine
/
v.27
no.2
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pp.130-137
/
2019
Objectives : When a patient who attempts suicide visits the emergency room, it is important that the departments of emergency medicine, internal medicine, and psychiatry communicate with each other and prioritize treatment. This study was conducted to verify the effectiveness of the multidisciplinary emergency consultation system (ECS) for drug intoxicated patients. Methods : We retrospectively analyzed the data from medical records prior to the ECS, from July 2017 to May 2018, and after the ECS, from July 2018 to May 2019, to verify the effectiveness of the system. Results : After the ECS, admission to open wards was significantly higher than to the intensive care units (χ2=8.567, p=0.014). In addition, the proportion of consultations to the department of psychiatry among patients admitted to other departments tended to increase (χ2=4.202, p=0.053), and the time required for consultation response decreased (Z=-2.031, p=0.042). As a result of the consultation, the proportion of the patients who had been transferred to the department of psychiatry was increased (χ2=4.692, p=0.043), and the time spent to transfer tended to decrease (Z=-1.941, p=0.052). Conclusions : After implementing the ECS for drug intoxicated patients, unnecessary intensive care unit admissions, consultation response time, and the time spent to transfer were reduced, and the rate of consultation referrals and transfer rates increased. This means that the multidisciplinary consultation system rapidly provided essential medical services to patients at lower medical costs.
The main purpose of this paper is to estimate the impact of exchange rate and economic business activity on the passengers' demand for international transportation. The demand pattern depends upon the transport vehicles that the global passengers take. The global passengers' demand for transportation is modelled as exchange rate, industrial production and seasonal dummy variables. The seasonality is found in both water and air, but the former is far greater than the latter. All series span the period January 1990 to December 2008. The empirical results of this paper reveal that the income elasticity of sea transport is greater than that of air one, all of which are positive. The study also shows that the exchange rate has an significant impact on the demand for air transport, whereas it is insignificant in water transport. The impulse response function indicates that passengers increase steadily before peaking seven to eight months after the shocks to economic business activity and decline very slowly to its pre-shock level. The air passengers also respond negatively to the shocks in exchange rate and the impacts of exchange rate shock seem to decrease relatively slowly, while the water passengers respond positively after six months. The industrial production shocks remain above equilibrium for more than twenty four months, while the exchange rate shocks remain below equilibrium for more than twenty four months. Boosted by improved economic conditions worldwide, international tourism has recovered faster than expected from the impacts of the global financial crisis and economic recession of late 2008 and 2009. These facts suggest that the demand of global water transport has the high possibility of growing steadily and continuously.
This study was conducted to propose measures to improve crisis response to environmental issues by analyzing the news big data on the 'tap water larvae' situation and identifying related major keywords and topics. To accomplish this, 1,975 cases of 'tap water larvae' reported between July 13 to August 31, 2020 were divided into three periods and analyzed using topical modeling techniques. The analysis output 15 topics for each period. According to the result, the 'tap water larvae' incident, as reported in the media, is divided into the occurrence, diffusion, and rectification stages. The government's response and civilian risk consciousness and reaction could also be seen. Based on the result, the following measures to respond to environment risk is proposed. First, it is necessary to explore the various intertwined context with the 'tap water larvae' incident at its core and develop responsiveness to environmental problems through education which forms integrated views. Second, a role to monitor the environment must be implemented and civilian-participated environmental information must be shared through the application of internet communities. Third, the cultivation and deployment of environmental communicators who provide and communicate fast and accurate environment information is required. This study, as the first in Korea to use the topic modeling analysis method based on big data related to 'tap water larvae', has academic significance in that it has empirically and systematically analyzed environmental issues which appear as unstructured data. It also political significance as it suggests ways to improve environmental education and communication.
The U.S. response to increased international competition was examined in the present study in order to have more comprehensive understanding of the U.S. textile and clothing market. The method employed to conduct the study was the analysis of the written materials, interview with professionals, and the survey of the actual situations of the U.S. textile and apparel industries. The results are summarized as follows; 1. Official U.S. textile and apparel trade policy has been quite has been quite protective since 1950's. The protective trend has been embodied in Japan Cotton Textile Export Control (reciprocal trade agreement signed by the U.S. and Japan in 1957), Short Term Arrangement Regarding International Trade in Cotton Textiles, Long Term Cotton Textile Arrangement (1962∼1973), and Multi-fiber Arrangement (1974∼). Other governmental programs designed to improve the competitiveness of the U.S. textile and apparel industries include Long-term Textile and Apparel Products Export-expansion Program, and 807 Trade to take labor cost advantage. 2. Along with the quite protective governmental trade policy, the corporate responses have been made such as new sourcing mixes, investment in technology, specialization in the textile and apparel industries, and recent strategies pursued by retailer's. The apparel industry was subject to pressure from imports that increased at moderate levels, and the U.S. textile and apparel industries have made extensive efforts to adjust to the increasing competition from abroad. The textile and apparel industries have taken steps to increase labor productivity through automation, to speed management to create and introduce new products and new methods, and have lowered indirect overhead costs. Several industrywide promotion campaigns have attempted to establish a greater public awareness of international competition and to develop a preference for apparel produced in the United States. 3. Regarding these response of the U.S. and other situations of world textile and apparel trade market, much of the sense of crisis that pervades Korean textile and apparel industries has to do with the problem of adjusting government and corporate policy. Textile and apparel industry of Korea faces on going pressure to reduce costs, improve quality, increase service, develop new markets, diversify, and differentiate itself from its foreign competitors. The strategies that have been adopted in the past have generally worked in the past, but the time has come to adopt strategies that reflect present conditions. If this is not done, then we stand to lose large segments of these industries, which once lost will not easily be regenerated.
The purpose of this study is to contribute to developing psychological support system in disaster response of South Korea by examining that of Japan. Psychosocial support from the Red Cross with the psychiatric support by the DPAT from local government were achieved in the early stage of disaster psychology support system in Japan. In the long term intervention after disaster, psychiatric support from Kokoro-no care center has been established. In other words, not only traditional mental health approach but also disaster psychology support activities including psychosocial support are deployed. National Information Center of Disaster Mental Health, which is control tower of disaster psychology support, understand the disaster in the level of nationwide through collecting and analyzing the data related to disaster, and manage disaster psychological support activities. Disaster psychology support system in Japan modified problems immediately during large scale disaster that they are equipped with state of the current. Implications for disaster psychological support system and crisis counseling program in South Korea are discussed.
Journal of the Korean Society of Food Science and Nutrition
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v.34
no.9
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pp.1407-1413
/
2005
Korean households' expenditures on the eating -out have been steadily increasing except for the foreign exchange crisis period. This paper aimed to examine the eating-out expenditures of salary and wage earners's households by educational attainment of household head. We modeled the demand function of eating-out in terms of income and price, examining the responsiveness of eating-out demand to changes in income and price using econometric methods such as regression, rolling regression and impulse response. This paper showed that coefficients of income and price tended to decrease as the income rises in the long-run. Specifically, the higher the educational attainment of household head is, the smaller the coefficients of income and price we. The impulse response analysis also indicated that while price shocks decreased the demand for eating-out, income shocks tended to increase tile demand for eating-out in all the educational attainments. Furthermore income shocks were much greater and last longer than price shocks at all educational attainments of household heads.
The objective of this study is to investigate the effects of FRB's policy rate adjustments on the 10 years Korea Treasury Bond (KTB) market. Our results are summarized as follows. First, it is found that the FRB's policy rate adjustments are statistically significant positive impact on the 10 years KTB yield. Based on projection, the 10bp increases in FRB's policy rate generates 7bp higher in 10 years KTB yield. Second, the result from after the Lehman bankruptcy in '08 is found to be statistically significant, while that of before financial crisis is not. Third, the variable, in which consistent with yield difference between the 10 years UTB(US Treasury Bond) and the 10 years KTB, is found that is statistically significant positive impact in 1% significance level. And also given that Brunner(2000) exhibited that the Federal Fund Rate innovations are found to impact on other economic variables through the impulse response, the 10 years KTB yield is found to respond to innovation in the Federal Fund Rate up to about 12 months.
The entire tourism industry is being hit hard by the COVID-19 as a global pandemic. Accommodation sharing services such as Airbnb, which have recently expanded due to the spread of the sharing economy, are particularly affected by the pandemic because transactions are made based on trust and communication between consumer and supplier. As the pandemic situation changes individuals' perceptions and behavior of travel, strategies for the recovery of the tourism industry have been discussed. However, since most studies present macro strategies in terms of traditional lodging providers and the government, there is a significant lack of discussion on differentiated pandemic response strategies considering the peculiarity of the sharing economy centered on peer-to-peer transactions. This study discusses the marketing strategy for individual hosts of Airbnb during COVID-19. We empirically analyze the effect of changes in listing descriptions posted by the Airbnb hosts on listing performance after COVID-19 was outbroken. We extract nine aspects described in the listing descriptions using the Attention-Based Aspect Extraction model, which is a deep learning-based aspect extraction method. We model the effect of aspect changes on listing performance after the COVID-19 by observing the frequency of each aspect appeared in the text. In addition, we compare those effects across the types of Airbnb listing. Through this, this study presents an idea for a pandemic crisis response strategy that individual service providers of accommodation sharing services can take depending on the listing type.
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