This paper aims to explore whether the trilemma of welfare states has been a valid argument about the recent change of welfare states. Based on fuzzy-set ideal type analysis of data from seventeen OECD countries, it examines that welfare states have achieved three core policy objectives -income equality, employment growth and fiscal discipline- in the service economy during the period between 1981 and 2010. The evidence presented in this paper does not support the trilemma of the service economy where only two goals can be pursued successfully at one time, at a cost of the other remained goal. The trilemma has been effective only to the countries in liberal welfare regime where employment growth and fiscal discipline has been achieved at a cost of higher levels of income equality. However, conservative welfare-state regimes have experienced the deterioration of income equality and fiscal restraint after the mid 1980s and it seems that they have diverged into various models. In the countries of the social democratic welfare regime, the goals of equality and employment have been achieved simultaneously together with fiscal discipline since the early 2000s. While they are classified as the perfect model in the research, Southern European welfare states including Greece and Italy, classified as 'the crisis model', have not performed well in all the three aspects. On the evidence presented in this paper, it can be said that the trilemma of welfare states in the service economy is not effective to explain the policy goals of welfare state as well as the result of redistributive politics in the service economy.
The Journal of the Convergence on Culture Technology
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v.7
no.1
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pp.397-405
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2021
With the recent phenomenon of the Intelligence Information Society, the cyber security paradigm has begun to change. In particular, the increase of the interconnectedness of the hyperlinked society has extended the scope of damage that can be caused by cyber threats to the real world. In addition to that, it can also be a risk to any given individual who could accompany a crisis that has to do with public safety or national security. Adolescents who are digital natives are more likely to be exposed to cyber threats, which is mainly due to the fact that they are significantly more involved in cyber activities and they also possess insufficient security comprehension and safety awareness. Therefore, it is necessary to strengthen cyber security capabilities of every young individual, so that they can effectively protect themselves against cyber threats and better manage their cyber activities. It examines the changes of the security paradigm and the necessity for cyber security education, which is in direct accordance to the characteristics of a connected society that further suggests directions and a basic system of cyber security education, through a detailed analysis of the current state of Domestic and Overseas Cyber Security Education. The purpose of this study was to define cybersecurity competencies that are necessary within an intelligent information society, and to propose a regular curriculum for strengthening cybersecurity competencies, through the comparison and meticulous analysis of both domestic and overseas educational systems that are pertinent to cybersecurity competencies. Accordingly, a cybersecurity competency system was constructed, by reflecting C3-Matrix, which is a cyber competency system model of digital citizens. The cybersecurity competency system consists of cyber ethics awareness, cyber ethics behavior, cyber security and cyber safety. In addition to this, based on the basic framework of the cybersecurity competency system, the relevant education that is currently being implemented in the United States, Australia, Japan and Korea were all compared and analyzed. From the insight gained through the analysis, the domestic curriculum was finally presented. The main objective of this new unified understanding, was to create a comprehensive and effective cyber security competency curriculum.
Song, Ki Eun;Choi, Jae Eun;Jung, Jae Gyeong;Ko, Jong Han;Lee, Kyung Do;Shim, Sang-In
KOREAN JOURNAL OF CROP SCIENCE
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v.66
no.4
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pp.307-317
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2021
In recent years, global warming has led to frequent climate change-related problems, and elevated temperatures, among adverse climatic factors, represent a critical problem negatively affecting crop growth and yield. In this context, the present study examined the physiological traits of wheat plants grown under high temperatures. Specifically, the effects of elevated temperatures on seed development after heading were evaluated, and the vegetation indices of different organs were assessed using hyperspectral analysis. Among physiological traits, leaf greenness and OJIP parameters were higher in the high-temperature treatment than in the control treatment. Similarly, the leaf photosynthetic rate during seed development was higher in the high-temperature treatment than in the control treatment. Moreover, temperature by organ was higher in the high-temperature treatment than in the control treatment; consequently, the leaf transpiration rate and stomatal conductance were higher in the control treatment than in the high-temperature treatment. On all measuring dates, the weight of spikes and seeds corresponding to the sink organs was greater in the high-temperature treatment than in the control treatment. Additionally, the seed growth rate was higher in the high-temperature treatment than in the control treatment 14 days after heading, which may be attributed to the higher redistribution of photosynthates at the early stage of seed development in the former. In hyperspectral analysis, the vegetation indices related to leaf chlorophyll content and nitrogen state were higher in the high-temperature treatment than in the control treatment after heading. Our results suggest that elevated temperatures after the booting stage positively affect wheat growth and yield.
In this study, the amount of coal waste dump was calculated using six Digital Elevation Models (DEMs) produced between 2006 and 2018 in Jangseong-dong, Taebaek-si, Gangwon-do, and the subsidence was observed by applying the Persistent Scatterer Interferometric SAR (PSInSAR) technique on the Sentinel-1 SAR images. As a result of depositing activities using DEMs, a total of 1,668,980 m3 of coal waste was deposited over a period of about 12 years from 2006 to 2018. The observed subsidence rate from PSInSAR was -32.3 mm/yr and -40.2 mm/yr from the ascending and descending orbits, respectively. As the thickness of the waste pile increased, the rate of subsidence increased, and the more recent the completion of the deposit, the faster the subsidence tended to occur. The subsidence rates from the ascending and descending orbits were converted to vertical and horizontal east-west components, and 22 random reference points were set to compare the subsidence rate, the waste rock thickness, and the time of depositing completion. As a result, the subsidence rate of the reference point tended to increase as the thickness of the waste became thicker, similar to the PSInSAR results in relation to the waste thickness. On the other hand, there was no clear correlation between the completion time of the deposits and the rate Of subsidence at the reference points. This is because the time of completion of the deposits at all but 5 of the 22 reference points was too biased in 2010 and the correlation analysis was meaningless. As in this study, the use of DEM and PSInSAR is expected to be an effective alternative to compensate for the lack of field data in the safety management of coal waste deposits.
The shipping industry plummeted and was depressed due to the global economic crisis caused by the bankruptcy of Lehman Brothers in the US in 2008. In 2020, the shipping market also suffered from a collapse in the unstable global economic situation due to the COVID-19 pandemic, but unexpectedly, it changed to an upward trend from the end of 2020, and in 2021, it exceeded the market of the boom period of 2008. According to the Clarksons report published in May 2021, the decrease in cargo volume due to the COVID-19 pandemic in 2020 has returned to the pre-corona level by the end of 2020, and the tramper bulk carrier capacity of 103~104% of the Panamax has been in the ports due to congestion. Earnings across the bulker segments have risen to ten-year highs in recent months. In this study, as factors affecting BDI, the capacity and congestion ratio of Cape and Panamax ships on the supply side, iron ore and coal seaborne tonnge on the demand side and Granger causality test, IRF(Impulse Response Function) and FEVD(Forecast Error Variance Decomposition) were performed using VAR model to analyze the impact on BDI by congestion caused by strengthen quarantine at the port due to the COVID-19 pandemic and the loading and discharging operation delay due to the infection of the stevedore, etc and to predict the shipping market after the pandemic. As a result of the Granger causality test of variables and BDI using time series data from January 2016 to July 2021, causality was found in the Fleet and Congestion variables, and as a result of the Impulse Response Function, Congestion variable was found to have significant at both upper and lower limit of the confidence interval. As a result of the Forecast Error Variance Decomposition, Congestion variable showed an explanatory power upto 25% for the change in BDI. If the congestion in ports decreases after With Corona, it is expected that there is down-risk in the shipping market. The COVID-19 pandemic occurred not from economic factors but from an ecological factor by the pandemic is different from the past economic crisis. It is necessary to analyze from a different point of view than the past economic crisis. This study has meaningful to analyze the causality and explanatory power of Congestion factor by pandemic.
Climate change brought on by global warming increased the frequency of flood and drought on the Korean Peninsula, along with the casualties and physical damage resulting therefrom. Preparation and response to these water disasters requires national-level planning for water resource management. In addition, watershed-level management of water resources requires flow duration curves (FDC) derived from continuous data based on long-term observations. Traditionally, in water resource studies, physical rainfall-runoff models are widely used to generate duration curves. However, a number of recent studies explored the use of data-based deep learning techniques for runoff prediction. Physical models produce hydraulically and hydrologically reliable results. However, these models require a high level of understanding and may also take longer to operate. On the other hand, data-based deep-learning techniques offer the benefit if less input data requirement and shorter operation time. However, the relationship between input and output data is processed in a black box, making it impossible to consider hydraulic and hydrological characteristics. This study chose one from each category. For the physical model, this study calculated long-term data without missing data using parameter calibration of the Soil Water Assessment Tool (SWAT), a physical model tested for its applicability in Korea and other countries. The data was used as training data for the Long Short-Term Memory (LSTM) data-based deep learning technique. An anlysis of the time-series data fond that, during the calibration period (2017-18), the Nash-Sutcliffe Efficiency (NSE) and the determinanation coefficient for fit comparison were high at 0.04 and 0.03, respectively, indicating that the SWAT results are superior to the LSTM results. In addition, the annual time-series data from the models were sorted in the descending order, and the resulting flow duration curves were compared with the duration curves based on the observed flow, and the NSE for the SWAT and the LSTM models were 0.95 and 0.91, respectively, and the determination coefficients were 0.96 and 0.92, respectively. The findings indicate that both models yield good performance. Even though the LSTM requires improved simulation accuracy in the low flow sections, the LSTM appears to be widely applicable to calculating flow duration curves for large basins that require longer time for model development and operation due to vast data input, and non-measured basins with insufficient input data.
Emergence of new media platform had changed relationship between the broadcaster and the viewer, which used to form 'performer-audience' structure. This research has focused on the transition of 'streamer-viewer' role in single-media broadcasting, such as Youtube or Twitch, and identify how they progress group storytelling as a team. Walter Benjam and Leslie Marmon Silko's notion of 'story and storyteller' and Erving Goffman's 'social role theory' was used to define participants' role in new media broadcasting. channel, on Youtube, was selected and analyzed as example case. The domain of 'front stage' was broadened in recorded contents comparing to live streaming. The audience of live streaming is included to the front stage during the expansion. The role of streamer, game participant, and live stream contents viewer is also adjusted during the change, which leads to group-creation of the contents. Streamer plays a role of main-storyteller and suggest identity of the community. Game participants work as sub-storyteller, filling in the blank space in game storytelling and making it sophisticated. They also perform based on community's identity, which streamer has built in advance. Lastly, live steam viewers are intermittent sub-storyteller, which seldom add up the narrative. Though, their main role is to preserve identity of game broadcasting community by reacting according to community's identity. As a result, the game broadcasting narrative is developed by combining and adding up pieces of story made in different level and role of participants. The research redefine the role of viewer and storytelling method in new media, especially in single-person broadcasting. Considering the rapid shift in recent media and contents, a new approach to the streamer-veiwer role and group storytelling of this research can be one of the new method to analyze contents produced in new media, such as Youtube.
There has been a growing demand for spiritual education in public education in recent years. In fact, the concept of spirituality was included in the national religious curriculum in 2022. However, compulsory spiritual education based on the national curriculum is different from individual or private organization-based spiritual education which can be characterized as voluntary. This article aims to discuss the potential problems that may arise when making spiritual education compulsory in public education. This discussion includes the expansion of spiritual discourse and the scope of spirituality, the contents and examples of spiritual education, and the implications of compulsory spiritual education. My perspective on this topic is that the religious curriculum, being a national curriculum, should be applicable to all schools and learners. The channels for expanding spiritual discourse include studies for measuring each individual's spirituality or religiosity and spiritual tourism. Both exclusive and inclusive spirituality coexist within spiritual discourse. Furthermore, spiritual educators criticize knowledge-based education for its tendency towards romanticization, while overlooking reflective education in national religious curriculum. Additionally, the normative nature inherent in the concept of spirituality is often overlooked, despite the potential recurrence of problems seen in faith-based education. This article suggested that the minimum principle for the nation's religious curriculum should be that "religious or normative knowledge is not to be injected or delivered but rather reflected upon." This principle aims to provide an opportunity for learners to reflect on their religious experiences or lives subjectively. When this principle is applied, spirituality becomes the object of reflection and selection for learners. Above all, learners with reflective thinking skills will be able to live independently, even if their experiences and lives change. We hope that this article will serve as an opportunity to continually reflect on the form of religious education found in public education.
Recent discussions about a minimum wage increase (MWI) and its influence on the economy have mainly focused on the quantitative aspects, such as labor costs and employment. However, concerning the qualitative aspects, an MWI could have positive effects by enhancing firm productivity and crowding out marginal firms from the market. These positive effects of an MWI can offset, to some extent, its potential negative effects - increasing labor costs and decreasing employment, among others. In this regard we empirically examine the impact of an MWI on firm productivity (total factor productivity). Using firm level panel data from the manufacturing industry in Korea, we calculate the influence rates of a minimum wage by sector and by firm size (number of workers), and analyze its effects on firm productivity. In particular, the production functions of the firms are estimated by taking into account endogeneity among the input factors, in order to resolve the drawbacks of existing studies - underestimating the capital factor coefficient and overestimating the labor factor coefficient. This study finds that the influences of an MWI on wages, employment, and productivity are substantially different across sectors and firm sizes. While an MWI has shown to have positive influences on productivity growth in the manufacturing industry as a whole, each sector demonstrates a different direction of effect, and the degree of productivity change also varies by sector. The impacts of an MWI on firm productivity are generally estimated to be more negative for smaller firms, but in some sectors the effects are found to be positive. In addition, the wage increases resulting from an MWI seem to cause a productivity enhancement across all sectors in the manufacturing industry. The policy implications of this study are as follows. Considering the empirical findings that an MWI causes an increase in productivity in many sectors of the manufacturing industry, it would be desirable to take into consideration not only the negative side effects but also the positive effects of an MWI when designing any future minimum wage policy. Moreover, in spite of there being a uniform minimum wage, this study finds that the diverse influence rates of a minimum wage across firms have different impacts on wages, employment, and productivity across sectors or firm size. This finding could be conducive to discussions about differentiation among minimum wage schemes by sector or firm size.
Journal of the Korean Institute of Landscape Architecture
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v.51
no.2
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pp.42-53
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2023
This paper explores the recent development of environmental aesthetics and critically examines the main agendas, claims, issues, and implications of everyday aesthetics, which is emerging as an important branch of environmental aesthetics. Environmental aesthetics began in the context of cultural change and environmentalism in the 1960s and expanded in the second half of the 20th century with a solid theoretical foundation. At the beginning of the 21st century, it entered a process of diversification of objects and subjects. Having reached academic maturity, environmental aesthetics has expanded into theoretical territory considering the urban environment and the human environment, providing practical coordinates as a discourse for planning and designing urban environments and landscapes. The most notable achievement of environmental aesthetics since the mid-2000s is the establishment of 'everyday aesthetics'. Yuriko Saito, who is leading the research on everyday aesthetics, expanded the objects and scope of aesthetic theory to everyday objects, events, activities, and environments. She excavates the microscopic and sensory aspects of everyday life, which have been overlooked by conventional art-centered aesthetics, through the lens of aesthetics. She reinterprets various layers of phenomena in contemporary urban landscapes and analyzes how the 'power of the aesthetic' hidden in everyday life profoundly affects the quality of life and the state of the world. Saito examines the appreciation of the distinctive characteristics and ambiance inherent in everyday objects and environments and proposes a 'moral-aesthetic judgment' to alert citizens to the environmental, social, and political consequences of everyday aesthetic appreciation and response. This paper identifies the issues and implications of everyday aesthetics as first, the expansion of aesthetics and the ambiguous everyday, second, the moral-aesthetic judgment and the aesthetics of care, and third, urban regeneration landscapes and aesthetic literacy. In particular, the moral virtues of everyday aesthetics that Saito proposes, such as care, thoughtfulness, sensitivity, and respect, provide a critical reference for the practice of contemporary urban regeneration landscapes. The 'aesthetic literacy' is a key concept demonstrating why an environmental aesthetics perspective is necessary to interpret everyday urban environments and landscapes.
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