• Title/Summary/Keyword: panel tobit model

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The effect of Korean Employment Protection Legislation on Eliminating Discrimination on Non-Regular workers (비정규직 보호법의 차별 시정 효과)

  • Ko, Hyejin
    • 한국사회정책
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    • v.25 no.4
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    • pp.125-161
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    • 2018
  • This article aims to investigate the impact of Korean employment protection legislation that has implemented since 2007 on eliminating discrimination on non-regular worker's wage and social security. It is used the panel Tobit model reflecting the variation of implementation time according to the size of establishments. Although the employment protection laws for non-regular workers have implemented, the wage gap and discrimination in social security for non-regular workers have continued. Of course, the discrepancies on wage and social security were founded not only between regular and non-regular workers but also within non-regular workers. For reducing the discriminations, this study proposes to restrict the reason for justifying discrimination, and the introduction of a new approach to accessing the discrimination and complimentary credit system. Besides, this study suggests to actively review the strengthening of regulations on the use of non-regular workers.

Financial Factors Influencing Corporate Cash Reserves of Firms in Chungcheong Province in the Korean Capital Markets (충청권 소재 제조업체들의 현금 유동성 수준에 대한 재무적 분석)

  • Kim, Hanjoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.1
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    • pp.679-687
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    • 2017
  • This study examines financial factors affecting cash holdings of firms in the domestic capital markets. Specifically, this study focuses on regional firms with headquarters in Chungcheong province, the Republic of Korea, which features little previous research concentrating on the firms in the particular region. Three primary hypotheses were empirically tested utilizing robust econometric models, including static panel data, Tobit regression, and logistic models.Results reveal only five explanatory variables, including DSO, LIQUID, LEVERAGE, PMARGIN, and SIZE, showed statistically significant effects on the level of cash holdings among the nine variables studied. In addition two IDVs, LEVERAGE and FOS, showed significant differentiated effects between firms with headquarters in North and South Chungcheong regions. With continued debate among interested parties on the optimal level of cash reserves, the study provides a new vision for the optimal cash reserves for firms with headquarters in Chungcheong Province, where unprecedented socio-economic factors are driven.

Further Empirical Analysis on Corporate R&D Intensity for KOSDAQ Listed SMEs in the Era of the Post Global Economic Crisis (국제금융위기 이후의 코스닥 상장 중소기업들의 연구개발비에 대한 실증적 심층분석)

  • Kim, Hanjoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.2
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    • pp.248-258
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    • 2021
  • The study analyzed the financial determinants of corporate R&D intensity that require more attention from academics and practitioners in the Korean capital market. Domestic small and medium enterprises (SMEs) may face with developing substitutes by making more R&D investments in scale and scope, given the unprecedented economic conditions such as the limitation of importing core components and materials from other nation(s). KOSDAQ-listed SMEs were selected as sample data, whose R&D expenditures may be less than those of large firms during the post-global financial turmoil period (2010~2018). Static panel data model was applied, along with Tobit and stepwise regression models, for examining the validity of results. Logit, probit, and complementary log-log regressions were also employed for a relative analysis. R&D expenditures in the prior year, the interaction effect between the previous R&D intensity and high-tech sector, firm size, and growth rate were significant to determine R&D intensity. Moreover, a majority of explanatory variables were found to change between the years 2011 and 2018, while time-lagged effects between the R&D intensity and growth rate exist. Results of the study are expected to be used for future research to detect optimal levels of R&D expenditures for the value maximization of SMEs.