• Title/Summary/Keyword: 고용불안정지수

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The Impact of Industrial Diversity to Unemployment and Employment Instability: An Analysis of Regional Economy Using Panel Regression Model (산업구조의 다양성이 실업과 고용불안정에 미치는 영향: 패널회귀모형을 이용한 지역경제 분석)

  • Ryu, Suyeol;Choi, Ki-Hong;Ko, Seung-Hwan;Yoon, Seong-Min
    • Journal of the Economic Geographical Society of Korea
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    • v.17 no.1
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    • pp.129-146
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    • 2014
  • This paper investigates how industrial diversity affects unemployment and employment instability from the perspective of the regional economy. Through this analysis, we examine how the industry-specific policy to promote some industry strategically in most of areas affects the stability of the regional economy. We measure Herfindahl indexes using the 1993-2010 data of 16 regions in Korea, and use panel regression model for empirical analysis. The main results from this empirical analysis are summarized as follows. First, we confirm that the industrial structure of most regions has been changed to the direction of specialization in 1990s and to the direction of diversification in 2000s through analyzing the changes in the values of Herfindahl indexes during the given period. Second, we find from the estimation results of panel regression model that the higher industrial diversity in most of regions is, the lower the unemployment rate is. However, a statistically significant relationship between industrial diversity and employment instability only partially confirmed. Third, there exist high unemployment rate and employment instability in most metropolitan areas, but it is hard to say that this relationship is highly statistically significant. From the results of the empirical analysis, it is likely that the industry-specific policies such as the regional strategic industry development policies unlike policy goals make the unemployment rate to rise and economic instability to increase. From the viewpoint of employment aspects, the strategies to increase industrial diversity would be desirable rather than those to specialize in the industrial structure.

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Analysis of Employment Effect of the Minimum Wage Using Time Series Data (시계열 자료를 이용한 최저임금의 고용효과 분석)

  • Kang, Seungbok;Park, Cheolsung
    • Journal of Labour Economics
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    • v.38 no.3
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    • pp.1-22
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    • 2015
  • We analyze the effect of the minimum wage on employment using time series data forr groups of individuals most affected by the minimum wage: young males (18 to 24 years old), young females (18 to 22 years old), old males (60 years and older) and old females (60 years and older). Our findings are as follows. First, a unit root test says that the variables like minimum wages and employments are non-stationary variables and they have cointegrational relations each other. It says that in this case, VEC is more suitable than OLS or VAR. Second, an increase of the minimum wage is found to have a weak but persistently negative effect on employment.

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Marine Algal Flora and Community Structure of Gogunsan Islands outside the Saemangeum Dike (새만금 방조제 외측 고군산군도 지역의 해조상 및 군집구조)

  • Kim, Ju-Hee;Ko, Yong-Deok;Kim, Young-Sik;Nam, Ki-Wan
    • Korean Journal of Environment and Ecology
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    • v.25 no.2
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    • pp.156-165
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    • 2011
  • It is selected seven sites for marine algal flora and community structure and investigated seasonally from December 2008 to November 2009 in Gogunsan Islands, the west coast of Korea. A total of 58 species including 10 green, 16 brown and 32 red algae were collected and identified. Among these species, 11 species were found throughout the year. Annual mean biomass in dry weight were 213.8 g $m^{-2}$ at Sinsido 1, 143.1 g $m^{-2}$ at Sinsido 2, 133.3 g $m^{-2}$ at Sinsido 3, 164.0 g $m^{-2}$ at Munyeodo, 116.9 g $m^{-2}$ at Seonyudo, and 145.1 g $m^{-2}$ at Jangjado. Maximum biomass was recorded in Sinsido 1, and minimum mean biomass was Sinsido 4. The dominant species based on biomass were Sargassum thunbergii, Ulva pertusa, Sargassum fusiforme and Corallina pilulifera. S. thunbergii was the representative alga occurred at all seasons. The flora investigated could be classified into six functional groups such as coarsely branched form (46.6%), filamentous form (27.6%), sheet form (17.2%), thick leathery form (3.4%), jointed calcareous form (3.4%) and crustose form (1.7%). The R/P, C/P and (R+C)/P value reflecting flora characteristics were 0.33~0.75, 1.11~2.50, 1.47~3.25, respectively. Diversity index (H') and dominance index (DI) indicated that stability of seaweed community of Gogunsan Islands was unstable and environmental conditions were bad. According to multidimensional scaling (MDS) and cluster analysis, Gogunsan Islands were divided into three distinct groups. The first group was Sinsido 2, Sinsido 3, Seonyudo and Muyeodo and the second group comprised Sinsido 1 and Jangjado and the other was Sinsido 4 due to meaningful difference in similarity.