• Korean Management Science Review
• /
• v.25 no.3
• /
• pp.27-43
• /
• 2008

This study analyzes the changes of Gyeongju local society because of setting up low and intermediate level radioactive waste disposal site by using urban dynamics model. Specifically, after examining 'Gyeongju Long-Term Development Plan' announced in 2007, I establish the number of industries, population, gross local product, residents' income, and the long term employment condition as essential change-causing factors in Gyeongju local society based on the Big3 government project, and forecast it by using 'Gyeongju long-Term Development Plan' and all sorts of statistical data. In this stage, I assume 3 scenarios(basic, optimistic, and pessimistic view) to estimate the changes of local society more exquisitely, and scenarios are composed through mediation about variables of a growth rate and an inflow or outflow rate. The result shows that Gyeonaju local society would have growing changes by 2020. The essential change-causing factors are as follows. The case of population is estimated that it starts going down at the level of approximately 270 thousand by 2009, starts going up continuously after 2009, the year of completion of low and intermediate level radioactive waste disposal site, and increases from the level of about 300 thousand as minimum to 340 thousand as maximum in 2020. The estimates of other cases are made that the number of Industries has about 10 thousand increases, gross local product has almost 6 trillion increases, nominal gross national income doubles, as well as residences have approximately 280 thousand increases, and also made that employment condition also improves continuously, and diffusion ratio of house starts going up but the amount of supplies is a little bit insufficient in the long view.

• Journal of Labour Economics
• /
• v.23 no.1
• /
• pp.137-165
• /
• 2000

This paper empirically analyzes the behavioral patterns of the labor flows surrounding self-employment. One of the findings is that, while a substantial portion of the labor flows into (and from) the self-employment sector is a movement from (and into) the non-employment, such flows are largely confined to a relatively small group of marginal workers. Still, the share of those marginal workers among the self-employed has declined steadily at least until the outburst of the financial crisis in 1997, evidencing that the job stability has been increased in this sector. On the other hand, the expected duration of self-employment has shown a downward trend up until 1990 but has increased since then. Such a trend reversal is also observed in the proportion of the labor force self-employed, indicating that the former is at least partly responsible for the latter.

• Korean System Dynamics Review
• /
• v.10 no.2
• /
• pp.81-102
• /
• 2009

Based on various employment and technology data in the cultural sector from the mid-1990s to the mid-2000s in Seoul, Korea, this research examines whether technology- and human resource-oriented programs exert significant impact on creative manpower, R&D technology level and tolerance. After briefly introducing Seoul's trends in the culture industry, it tries to explain major reinforcing and balancing loops. The stock-flow diagram of the culture industry in Seoul is applied to estimate relative effectiveness of technology- and human resource-oriented cultural programs cultural programs. Judging from a series of simulated experiments, technology-oriented cultural programs are essential to increase creative manpower and R&D technology level in the short term. For the first half of research period, this research finds that human resource-oriented cultural programs put forth minimal impact, if they even exist at all. The trends, however, are reversed in the long term: Both size of creative manpower and R&D technology level absolutely depend on human resource-oriented cultural programs in the second half.

• International Journal of Control, Automation, and Systems
• /
• v.4 no.3
• /
• pp.382-393
• /
• 2006

Mechanical system dynamics plays an important role in the area of computational structural biology. Elastic network models (ENMs) for macromolecules (e.g., polymers, proteins, and nucleic acids such as DNA and RNA) have been developed to understand the relationship between their structure and biological function. For example. a protein, which is basically a folded polypeptide chain, can be simply modeled as a mass-spring system from the mechanical viewpoint. Since the conformational flexibility of a protein is dominantly subject to its chemical bond interactions (e.g., covalent bonds, salt bridges, and hydrogen bonds), these constraints can be modeled as linear spring connections between spatially proximal representatives in a variety of coarse-grained ENMs. Coarse-graining approaches enable one to simulate harmonic and anharmonic motions of large macromolecules in a PC, while all-atom based molecular dynamics (MD) simulation has been conventionally performed with an aid of supercomputer. A harmonic analysis of a macroscopic mechanical system, called normal mode analysis, has been adopted to analyze thermal fluctuations of a microscopic biological system around its equilibrium state. Furthermore, a structure-based system optimization, called elastic network interpolation, has been developed to predict nonlinear transition (or folding) pathways between two different functional states of a same macromolecule. The good agreement of simulation and experiment allows the employment of coarse-grained ENMs as a versatile tool for the study of macromolecular dynamics.

• International Journal of Computer Science & Network Security
• /
• v.22 no.3
• /
• pp.67-76
• /
• 2022

COVID-19 struck labor markets around the world, exposing and exacerbating the gender inequalities within the human capital structure. The last, in its turn, jeopardizes the return of the national economies to the growth trajectory undermined by pandemic impact. The authors assume that COVID-19 disproportionately affected the employment rates of women and men, which led to increased gender inequality in the labor market, which, in turn, affected GDP growth rates in the EU. To prove this hypothesis two research questions are discovered: 1) whether there was a different correlation between the number of COVID-19 cases in the EU and indicators of the labor market for women and men; and 2) whether there was a link between the growth of gender inequality in the EU labor market and the GDP dynamics in these countries. The analysis of the correlation between the number of cases of COVID-19 and indicators of the labor market in the EU revealed faster growth of women's unemployment rates compared to men's ones as the COVID-19 incidence unfolded. Multiple linear regression and factor analysis have been used to investigate the influence of gender inequality in the labor market on GDP dynamics. Despite the methodological limitations, the proposed model is both a sound argument and an analytical basis in favor of gender-responsive economic recovery backed by the systematic and consistent gender equality policy of a government.

• Journal of the Korean Regional Science Association
• /
• v.39 no.4
• /
• pp.73-90
• /
• 2023

This research examines the impact of robotics integration on job dynamics in the U.S. manufacturing sector, adding to the critical dialogue on technological evolution and the future of jobs. Anchored in the task-model framework, the study hypothesizes that robotic integration exerts differential influences on diverse occupational clusters, each identified by their unique task-specific attributes. An in-depth examination was undertaken to elucidate the interplay between robotic integration and the occupation clusters. Employing a multilevel growth curve model, our empirical investigation tracked employment dynamics from 2012 to 2022 across 52 U.S. regions, covering 307 manufacturing occupations. The findings suggest a pronounced job decline within occupations necessitating manual dexterity. Nonetheless, the evidence does not conclusively support that the extent of robotics integration exacerbates this trend. These findings imply that the employment shifts in the U.S. manufacturing sector are predominantly driven by long-standing trends of deindustrialization and functional specialization, rather than by the recent diffusion of robotic technologies.

• Journal of the Economic Geographical Society of Korea
• /
• v.11 no.1
• /
• pp.94-110
• /
• 2008

This study examines the unemployment and labor market demand dynamics as well as their implication for social exclusion in the metropolitan areas of Korea since the financial crisis of 1997. The unemployment research containing significant implication for social exclusion is a key area to be explored with the research of skill and income polarization due to structural economic transformation. Skill polarization usually results in the job loss for some people, which most likely leads to the economic deprivation and social exclusion. The unemployment rate and its regional disparity began to fall since 2000, but the disparity reversed to increase after 2005. The labor market dynamics of the metropolitan areas are turned out to be related with the size of the city and the relative shares of both manufacturing and service sectors. In addition, the employment growth is turned out to be related with the changes of both output and productivity. It is also found that the unemployment is affected with the job change and the tertiarization of the economy. However, it is of more significance to recognize that the dynamics and patterns of the labor market in the metropolitan areas are quite spatially differentiated and the differentiation is likely determined by the factors such as industrial structure, employment dynamics and job demand changes.

• Korean Journal of Human Ecology
• /
• v.23 no.4
• /
• pp.633-652
• /
• 2014

The purpose of this study was to investigate the effect of personality traits of the middle aged on quality of life while mediated by self-concepts such as self-efficacy and self-derogation, as well as while moderated by subjective socio-economic variables such as economic status, social activities and employment. To verify the conceptual causality model and moderating effects of contextual variables, we analysed 353 cases out of purposively collected 400 cases from a medium sized city. As results, first, conscientiousness of personality traits positively affected quality of life of the middle aged while mediated by self-concepts. Second, neuroticism of personality traits negatively affected quality of life while mediated by self-concepts. Third, agreeableness of personality traits did not eventually affect quality of life, although affected negatively on self-efficacy and positively on self-derogation. Fourth, socio-economic variables such as economic status, social activities and employment moderated various paths in the model, which indicated dynamics of internal variables were affected by contextual variables.

• KDI Journal of Economic Policy
• /
• v.44 no.2
• /
• pp.1-28
• /
• 2022

This paper studies how COVID-19 has affected the labor market in Korea through a general equilibrium model with multiple industries and occupations. In the model, workers are allocated to one of many occupations in an industry, and industrial or occupational shocks alter the employment structure. I calibrate the model with Korean data and identify industrial and occupational shocks, referred to here as COVID-19 shocks, behind the employment dynamics in 2020 and 2021. I find that COVID-19 shocks are more severe for those with jobs with a higher risk of infection and in those that are more difficult to do from home. Interestingly, the relationship between COVID-19 shocks and infection risk weakened as the pandemic progressed, whereas the relationship between COVID-19 shocks and easiness of work-from-home strengthened. I interpret the results as meaning that the pandemic may direct future technological changes to replace tasks that require contact-intensive steps, and I simulate the impact of such technological changes through the lens of the model. The results show that such technological changes will lower the demand for manual workers compared to the demands for other occupations. This contrasts with the earlier trend of job polarization, where manual workers continued to increase their employment share, with the share of routine workers secularly declining at the same time.

• Journal of Labour Economics
• /
• v.38 no.1
• /
• pp.1-30
• /
• 2015

The aggregate matching function is estimated to explain dynamics among job seekers, vacancies and new hires in Korea. Due to measurement errors inherent in vacancies data, I introduce a latent variable for job openings and use the instrumental variables to correct its endogeneity. Matching efficiency is also estimated using some explanatory variables like job seekers' characteristics and public employment services. The result shows that Korea's matching function also exhibits a constant returns to scale.