• Title/Summary/Keyword: OLS regression analysis

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How Does the Regulation of Location Affect Firm's Management and Innovation Performance? (정부의 지역 입지규제는 기업 경영 및 혁신성과에 어떤 영향을 미치는가? -평택(경기도)과 천안(충청남도)지역 기업 비교분석을 중심으로-)

  • Seo, Young-Woong;Choi, Seok-Joon;Lee, Si-Wook
    • Journal of Korea Technology Innovation Society
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    • v.15 no.3
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    • pp.586-603
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    • 2012
  • In order to relieve overcrowding, the Korean government has regulated firm's locations in the capital region of Korea. However, the standard of regulation mainly depends on the place of province. Using KIS-Value data of firms that are located Pyeong-taek(the Capital area) or Cheon-an(Non Capital area), in close proximity to each other, we utilize OLS and negative binomial regression models for identifying the difference of firms' management and innovation performance in terms of firms' location difference(regulation difference). Our analysis shows that innovation performance of firms in Cheon-an does better than Pyeong-taek's, but management performance has no gaps between them. This result indicates that the regulation of firm's location has influence on firm's innovation performance. Thus, regulation policy regarding firms' location need to be minutely amended.

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The Relationship Between English Language Proficiency and the National Economic Performance: Focusing on non-English-Speaking OECD Countries (영어능력과 국가 경제성장과의 관계: OECD 비영어권 국가들을 중심으로)

  • Kim, Seon-Jae;Lee, Young-Hwa
    • The Journal of the Korea Contents Association
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    • v.11 no.1
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    • pp.329-339
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    • 2011
  • This study aims at investigating how English proficiency affects economic development of a country by analyzing the relationships among English proficiency, economic activities (amount of trade, R&D investment, etc), and the rate of economic growth, focusing on twenty-one non-English-speaking OECD countries. Ordinary Least Square (OLS) and Seemingly Unrelated Regression Estimation (SURE) were used for the data analysis in the study. The findings reveals that there existed little statistical significance to support the fact that English proficiency was directly related to the economic development in a positive way in many countries except Mexico, the Czech Republic, Finland, and Poland. However, English proficiency indirectly influenced the economic development in the way of increasing the amount of trade. These results can lead to the conclusion that English proficiency is not a sufficient element but a necessary one. Furthermore, it is expected that English proficiency can positively affect the economic development when it plays a part as sufficient complementary goods which make up for physical capital, technology accumulation, political stability, and worthy government.

Glass ceiling in arts and culture professionals: Between J and R industries (문화예술분야 전문인력에 대한 유리천장효과 분석: J산업과 R산업 중심으로)

  • Chan, Jong-Sub;Heo, Shik
    • Review of Culture and Economy
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    • v.21 no.2
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    • pp.3-28
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    • 2018
  • This study focuses on analyzing the glass ceiling effect in arts and culture professionals through the quintile decomposition applied to the RIF unconditional quantile regression and Oaxaca-Blinder decomposition technique. From the industrial viewpoint, we divide arts and culture professionals into cultural contents professionals(large category J industry) and arts professionals(large category R industry). For our analysis, we employ the pooling data of 'Wage Structure Survey' from 2009 to 2016. Our results are summarized as follows. First, as OLS wage decomposition showed that the gender wage gap among the arts professionals was lower than cultural contents professionals, but the discrimination portion of total gender wage gap was larger. Second, from quintile regression decompositions, the glass ceiling effects of two types of professionals showed different results. Cultural contents sector was observed with the "steady glass ceiling effect" as the portion of the discrimination was continuously increased, while the arts sector was observed with the "limited glass ceiling effect" as the discrimination had drastically increased in the 80s and 90s.

Environmental Factor Analysis Affecting Fruit Weight of Korean Melon (참외 과중에 영향을 미치는 환경요인 분석)

  • Choi, Don-Woo;Do, Han-Woo;Choi, Hong-Gip;Ryu, Young-Hyun;Lim, Cheong-Ryong
    • Journal of Korean Society of Rural Planning
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    • v.27 no.2
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    • pp.43-48
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    • 2021
  • In this study, an analysis was performed using the growth data and environment data of Korean melon farmers to confirm the influence of environmental factors variables on fruit weight of Korean melon. The analysis results can be summarized as follows. First, it was confirmed that humidity and temperature were recognized as the most important factors among the core factors of korean melon farm production management. Second, The correlation analysis of fruit weight and environmental factors showed a statistically significant soil temperature, internal humidity. Third, The Pooled OLS model estimation results showed that the estimation coefficient for soil temperature is (-), and the estimation coefficient for soil temperature square is (+), indicating that optimal control temperature exists.

Geographically Weighted Regression on the Characteristics of Land Use and Spatial Patterns of Floating Population in Seoul City (서울시 유동인구 분포의 공간 패턴과 토지이용 특성에 관한 지리가중 회귀분석)

  • Yun, Jeong Mi;Choi, Don Jeong
    • Journal of Korean Society for Geospatial Information Science
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    • v.23 no.3
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    • pp.77-84
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    • 2015
  • The key objective of this research is to review the effectiveness of spatial regression to identify the influencing factors of spatial distribution patterns of floating population. To this end, global and local spatial autocorrelation test were performed using seoul floating population survey(2014) data. The result of Moran's I and Getis-Ord $Gi^*$ as used in the analysis derived spatial heterogeneity and spatial similarities of floating population patterns in a statistically significant range. Accordingly, Geographically Weighted Regression was applied to identify the relationship between land use attributes and population floating. Urbanization area, green tract of land of micro land cover data were aggregated in to $400m{\times}400m$ grid boundary of Seoul. Additionally public transportation variables such as intersection density transit accessibility, road density and pedestrian passage density were adopted as transit environmental factors. As a result, the GWR model derived more improved results than Ordinary Least Square(OLS) regression model. Furthermore, the spatial variation of applied local effect of independent variables for the floating population distributions.

Regional Variation in the Incidence of Diabetes-Related Lower Limb Amputations and Its Relationship with the Regional Factors (당뇨병 합병증으로 인한 하지 절단율의 지역적 변이 및 지역 특성 요인과의 관계 분석)

  • Won, Sung Hun;Kim, Jahyung;Chun, Dong-Il;Yi, Young;Park, Suyeon;Jung, Kwang-Young;Park, Gun-Hyun;Cho, Jaeho
    • Journal of Korean Foot and Ankle Society
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    • v.23 no.3
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    • pp.121-130
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    • 2019
  • Purpose: To investigate the spatial distribution of diabetes-related lower limb amputations and analyze the relationship between the spatial distribution of diabetes-related lower limb amputations and regional factors. Materials and Methods: This study was performed based on the data from the Korean Health Insurance Review and Assessment Service, in 2016. The unit of analysis was the administrative districts of city·gun·gu. The dependent variable was the age- and sex-adjusted incidence of diabetes-related lower limb amputations and the regional variables were selected to represent two aspects: socioeconomic factors, and health and medical factors. Along with traditional ordinary least square (OLS) regression analysis, geographically weighted regression (GWR) was applied for spatial analysis. Results: The age- and sex-adjusted incidence of diabetes-related lower limb amputation varied according to region. OLS regression showed that the incidence of diabetes-related lower limb amputation had significant relationships with the health and medical factors (number of healthcare institution and doctors per 100,000 population). In GWR, the effects of regional factors were not consistent. Conclusion: The spatial distribution of the incidence of diabetes-related lower limb amputations and the effects of regional factors varied according to the regions. The regional characteristics should be considered when establishing health policy related to diabetic foot care.

The Analysis of the Effect of Fiscal Decentralization on Economic Growth: Centering The U. S. (재정분권화가 경제성장에 미치는 영향에 관한 실증연구: 미국의 경우를 중심으로)

  • Choi, Won Ick
    • International Area Studies Review
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    • v.16 no.3
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    • pp.77-97
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    • 2012
  • Estimated coefficients has serious problems including inconsistency, biasness, etc. because many researches about the effect of fiscal decentralization on a country's economic growth use the traditional OLS method. Researches use the data intactly so that so called "spurious regression" phenomenon exists. This causes fundamental fallacy. This research tries unit root test, cointegration test, and then estimates the United States' economic time series by using VECM. The analysis of the effect of the state level-fiscal decentralization on economic growth shows two long term-equilibriums. During short term-dynamic adjustment, fiscal decentralization and economic growth move the same or different directions. In case of prediction GDP increases steeply and then from 2015 gently; and fiscal decentralization index shows a general reduction trend and then decreases slowly. At local level it shows two long term-equilibriums. During short term-dynamic adjustment, fiscal decentralization and economic growth also move the same or different directions. Impulse response analysis shows the very negative effect of fiscal decentralization on economic growth.

A Geographically Weighted Regression on the Effect of Regulation of Space Use on the Residential Land Price - Evidence from Jangyu New Town - (공간사용 규제가 택지가격에 미치는 영향에 대한 공간가중회귀분석 - 장유 신도시지역을 대상으로-)

  • Kang, Sun-Duk;Park, Sae-Woon;Jeong, Tae-Yun
    • Management & Information Systems Review
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    • v.37 no.3
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    • pp.27-47
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    • 2018
  • In this study, we examine how land use zoning affects the land price controlling other variables such as road-facing condition of the land, land form, land age after its development and land size. We employ geographically weighted regression analysis which reflects spatial dependency as methodology with a data sample of land transaction price data of Jangyu, a new town, in Korea. The results of our empirical analysis show that the respective coefficients of traditional regression and geographically weighted regression are not significantly different. However, after calculating Moran's Index with residuals of both OLS and GWR models, we find that Moran's Index of GWR decreases around 26% compared to that of OLS model, thus improving the problem of spatial autoregression of residuals considerably. Unlike our expectation, though, in both traditional regression and geographically weighted regression where residential exclusive area is used as a reference variable, the dummy variable of the residential land for both housing and shops shows a negative sign. This may be because the residential land for both housing and shops is usually located in the level area while the residential exclusive area is located at the foot of a mountain or on a gentle hill where the residents can have good quality air and scenery. Although the utility of the residential land for both housing and shops is higher than its counterpart's since it has higher floor area ratio, amenity which can be explained as high quality of air and scenery in this study seems to have higher impact in purchase of land for housing. On the other hand, land for neighbourhood living facility seems to be valued higher than any other land zonings used in this research since it has much higher floor area ratio than the two land zonings above and can have a building with up to 5 stories constructed on it. With regard to road-facing condition, land buyers seem to prefer land which faces a medium-width road as expected. Land facing a wide-width road may have some disadvantage in that it can be exposed to noise and exhaust gas from cars and that entrance may not be easy due to the high speed traffic of the road. In contrast, land facing a narrow road can be free of noise or fume from cars and have privacy protected while it has some inconvenience in that entrance may be blocked by cars parked in both sides of the narrow road. Finally, land age variable shows a negative sign, which means that the price of land declines over time. This may be because decline of the land price of Jangyu was bigger than that of other regions in Gimhae where Jangyu, a new town, also belong, during the global financial crisis of 2008.

Bank Restructuring and Financial Performance: A Case Study of Commercial Banks in Vietnam

  • DUONG, Tam Thanh Nguyen;NGUYEN, Hoa Quynh
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.10
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    • pp.327-339
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    • 2021
  • This study examines the impact of bank restructuring on the financial performance of commercial banks in Vietnam. The data for this study was obtained from the audited financial statements of 30 Vietnamese commercial banks from 2007 to 2019. Multiple regression analysis was used for investigation. Financial performance, as evaluated by ROAA, ROEA, and NIM, is the dependent variable. Financial restructuring, ownership restructuring, and operational restructuring are the independent variables. Pooled least squares (Pooled OLS), fixed effects model (FEM), random effects model (REM), and system generalized moment regression model (System GMM) are the estimate methods used to increase the accuracy of the regression coefficient. The research results show that the variables of financial restructuring activities such as government intervention and the ratio of equity to total assets; variables of ownership restructuring such as capital adequacy ratio, privatization of state-owned commercial banks, mergers, and acquisitions; variables of operational restructuring such as employees, branches, the cost to total assets; GDP variables and the second restructuring period have a positive impact on financial performance. Variables such as debt-to-capital ratio, bad debt ratio, state ownership ratio, expense-income ratio, and inflation have a negative effect on financial performance.

An Analysis of Household Expenditures for Wedding, Funeral, Ancestor Worship, and 60th Birthday Anniversary (도시가계의 가정의례비 지출에 대한 관련요인 분석)

  • 이윤금
    • Journal of the Korean Home Economics Association
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    • v.36 no.9
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    • pp.35-47
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    • 1998
  • The purpose of this study was to investigate the effect of household characteristics on household expenditures on wedding, funeral, ancestor worship, and 60th birthday anniversary. Data for this study were from the 1996 Annual Report on the Family Income and Expenditure Survey. OLS regression analysis was used to identify the effect of household characteristics on money spent on family ceremony expenditures. The household income, age of head, education of head, and family size were all significant factors for understanding family ceremony expenditures. The results also indicated that additional income from wife's labor force participation was associated with lesser expenditures on family ceremony, while business income, asset income, and transfer income had no effects on this category. The effect of the third quarter of 1996 was significant on family ceremony expenditures, indication that households spent significantly less for this category in the summer than did in the winter, holding other factors constant.

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