• Title/Summary/Keyword: Differences in variables of regional

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Analysis of Productivity by Environmental Factors in Regional Base Public Hospitals (지역거점 공공병원의 환경적 요인에 따른 생산성 분석)

  • Lee, Jinwoo
    • Korea Journal of Hospital Management
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    • v.22 no.3
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    • pp.46-60
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    • 2017
  • The purpose of this study is to analyze the difference of productivity according to environmental factors among 25 Regional base public hospitals. Also this study is to propose a method to improve the productivity of Regional base public hospitals in the future by improving the public performance and stable management performance by studying the productivity variables affecting profitability. The survey period was based on the last three years, and 25 Regional base public hospitals were selected for the survey. The dependent variable is the total capital medical marginal profitability and the medical profit marginal profitability which are the indicators of profitability. The independent variable, productivity, is classified into three indicators: capital productivity, labor productivity, and value added productivity. The ANOVA analysis method was used to analyze the productivity difference according to the frequency factor and the environmental factors of the Regional base public hospitals. Finally, we conducted a hierarchical regression analysis to examine the productivity variables affecting profitability. The results of this study showed that there were differences in productivity due to environmental factors such as hospital size, competition in the local medical market, and differences in management performance. The difference in productivity and profitability depending on the environmental factors suggests that it is difficult for Regional base public hospitals in each regional base to perform a balanced public service. In order to overcome this, it is necessary to provide balanced medical services such as government financial support expansion, regional medical demand forecasting and facility infrastructure construction.

An Analysis of Spatial Differences in the Efficiency of Regional Industrial Enterprises in China

  • Qingsong Pang;Yanan Sun;Sangwook Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.1
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    • pp.263-271
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    • 2024
  • This paper analysis of spatial differences in the efficiency of regional industrial enterprises in China from 2011 to 2021. The efficiency analysis uses the DEA-CCR model. The input variables for efficiency analysis are total assets and annual average employees, and the output variables are revenue from principal business and total profits. Using trend surface analysis and gravity center model, to analysis the spatial differences of efficiency in different regions. From the results of the gravity center model, the coordinates of the gravity center of China's regional industrial enterprise efficiency in 2011 are 112.303°E & 34.239°N, and 2021 are 111.753°E & 33.791°N, which indicates that the gravity center of the efficiency of China's regional industrial enterprises in the 2011-2021 period generally moves to the southwest. From the results of the trend surface analysis, the efficiency of industrial enterprises in China's regional industrial enterprises appears to show spatial differences in both the eastwest and the northsouth directions.

Analysing the Effects of Regional Factors on the Regional Variation of Obesity Rates Using the Geographically Weighted Regression (공간분석을 이용한 지역별 비만율에 영향을 미치는 요인분석)

  • Kim, Da Yang;Kwak, Jin-Mi;Seo, Eun-Won;Lee, Kwang-Soo
    • Health Policy and Management
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    • v.26 no.4
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    • pp.271-278
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    • 2016
  • Background: This study purposed to analyze the relationship between regional obesity rates and regional variables. Methods: Data was collected from the Korean Statistical Information Service (KOSIS) and Community Health Survey in 2012. The units of analysis were administrative districts such as city, county, and district. The dependent variable was the age-sex adjusted regional obesity rates. The independent variables were selected to represent four aspects of regions: health behaviour factor, psychological factor, socio-economic factor, and physical environment factor. Along with the traditional ordinary least square (OLS) regression analysis model, this study applied geographically weighted regression (GWR) analysis to calculate the regression coefficients for each region. Results: The OLS results showed that there were significant differences in regional obesity rates in high-risk drinking, walking, depression, and financial independence. The GWR results showed that the size of regression coefficients in independent variables was differed by regions. Conclusion: Our results can help in providing useful information for health policy makers. Regional characteristics should be considered when allocating health resources and developing health-related programs.

Determinants and Regional Patterns of Parent-child Coresidence among Older Korean Parents, 1985-2005 (노부모-자녀 동거의 결정요인과 지역간 차이, 1985-2005)

  • Kim, Mi-Young;Lee, Seong-Woo
    • Journal of Korean Society of Rural Planning
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    • v.15 no.4
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    • pp.89-107
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    • 2009
  • The main objective of the present study is to find out which factors affect coresidence between older Korean parents and their adult children and to examine the regional patterns of the phenomenon. The 1980, 1995 and 2005 Korea census data are used to investigate the determinants of two types of parent-child coresidence. The two types are coresidence with married adult children and one with unmarried adult children. The study takes advantage of the multilevel mltinomial logit model, allowing the model to capture regional differences. Findings from the study are: (1) Korean parents' coresidence with their married adult children and one with their unmarried adult children are distinctive in their determinants; (2) variables related to wealth or economic status are positively related with possibilities of both types of coresidence; and (3) considerable regional differences in the possibility of coresidence do exist among regions in Korea.

Management Evaluation on the Regional Fisheries Cooperatives using Data Envelopment Analysis Model (DEA모형에 의한 지역수협의 경영평가)

  • Lee, Kang-Woo
    • The Journal of Fisheries Business Administration
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    • v.42 no.2
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    • pp.15-30
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    • 2011
  • This study is designed to measure the relative efficiency of regional fishery cooperatives based on Data Envelopment Analysis(DEA) methods. Selecting 40 regional fishery cooperatives in Busan as Decision Making Units (DMUs), the study uses their panel data from 2007 to 2008 to rank the relative efficiency of the DMUs. First, the efficiency score of the DMUs are calculated using CCR, SBM, and super-SMB model. Within the model, input variables are the number of employees and area of fishery cooperatives. Output variables are the amount of deposit money, loan and profit. Based on the efficiency scores calculated from super-SMB model, the efficiency ranking of the DMUs is determined. Second, the differences in average efficiency calculated from the three DEA models are tested using a pair-wise mean comparison test. The results based on the efficiency scores evaluated from super-SMB model show that seven out of the forty DMUs are efficient; among the efficient DMUs, the DMUs that can be benchmarked for inefficient DMUs through the frequency analysis of reference set being identified. Third, the differences in average efficiency of the three DEA models between 2007 and 2008 are tested using pair-wise mean comparison test and the study estimates the efficiency change of the DMUs between 2007 and 2008 using Malmquist productivity index(MPI). Finally, the paper suggests an improved composite DMU superior to the inefficient DMUs evaluated by Super-SBM model.

The Relationship between Children's Social Intelligence and Demographic Variables (아동의 사회지능과 인구통계학적 변인의 관계 연구)

  • Moon, Taihyong
    • Korean Journal of Child Studies
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    • v.21 no.2
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    • pp.57-66
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    • 2000
  • The present study investigated the relationship between demographic variables(gender, grade in school, etc.) and children's social intelligence. Elementary and middle school students responded to the self-reported inventory on social intelligence, and their teachers used the social intelligence rating scale for children. The results show gender, grade, and regional differences in children's abilities to deal with various social situation. Furthermore, parents' education and residence is also related to their children's social intelligence. Based on regression analyses, it was found that grade in school and parent education were the most influential variables in explaining variance in children's social intelligence.

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Intellectual Characteristics of Korean Children: Analyses of K-WPPSI-IV Performance (한국아동의 지적 특성: 한국 Wechsler 유아지능검사 4판(K-WPPSI-IV)의 수행분석)

  • Park, Hyewon;Lee, KyungOk
    • Korean Journal of Child Studies
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    • v.37 no.6
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    • pp.157-168
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    • 2016
  • Objective: This study examined the intellectual characteristics of 1,700 Korean children aged 2 years, 6 months to 7 years, 7 months across two age ranges (2 years, 6 months to 3 years, 11 months; 4 years to 7 years, 7 months). Methods: Data from the standardization study of the K-WPPSI-IV were analyzed using Korean and American norms and in terms of socioeconomic variables such as region, maternal education level, and child gender. Results: Korean children performed differently from their American counterparts in most subtests and indexes. Verbal subtest performances for Korean children were significantly lower and performance subtest performances for Korean children were significantly higher. There were significant regional differences, with higher performances among children from Seoul than from other areas. Children whose mothers had higher education levels showed higher performances than their counterparts. This trend was more apparent in the older age range. Gender differences were found in most subtests, with girls showing higher scores than boys. Conclusion: This study revealed cross-cultural differences in intellectual characteristics measured with the newly standardized K-WPPSI-IV. In addition, significant effects of socioeconomic variables such as region, maternal education level, and gender were found.

Evaluating Geographic Differences in Electricity Burdens: An Analysis of Socioeconomic and Housing Characteristics in Erie County, New York

  • Nolan W. Kukla
    • Asian Journal of Innovation and Policy
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    • v.12 no.1
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    • pp.101-130
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    • 2023
  • The increasing cost, and demand for, household energy has increased attention to the phenomena of energy burdens. Despite this increased attention, a lack of consensus remains in pinpointing the strongest predictors, and geographic differences, that exist within the energy ecosystem. This study addresses this gap by utilizing a series of dummy variable regressions across cities, suburbs, and rural areas within Erie County, New York-a county noted to have particularly high energy burdens. Specifically, three types of predictor sets were incorporated into the methodology: a set of socioeconomic variables, physical variables, and a combination of both variable sets. The results of this study suggest that cities tend to have the highest electricity burdens. Despite the aging infrastructure in Erie County, high energy burdens were driven primarily by socioeconomic factors such as housing cost burden and poverty status. Lastly, this study explores various planning and policy implications Erie County can utilize to reduce energy burdens. In turn, this study highlights the importance of focusing policy efforts on existing social service programs to provide support to the region's neediest households.

The Analysis on the Regional Comparison and Affecting Factors of Customer Satisfaction (고객만족도에 대한 지역간 차이 비교 및 영향요인분석)

  • Park, Jae-San
    • Korea Journal of Hospital Management
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    • v.10 no.4
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    • pp.23-50
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    • 2005
  • The main objectives of this study are to compare the regional differences and to analyse the affecting factors of customer satisfaction. The subjects are 9 hospitals(5 Daegu region, 4 Seoul region) patient satisfaction index that were surveyed the 2004 Hospital Accreditation Program performed by KHIDI(Korea Health Industry Development Institute) and MOHW(Ministry of Health and Welfare). The sample used in this study consisted of 450 inpatients and 454 outpatients. The survey instrument is composed of physical environment items, physician factors, nursing staff factors, ancillary staff factors, administrative procedure items, and quality of hospital stay items. And overall satisfaction, intent to revisit, and intent to recommend as dependent variables are measured. Basically, the reliability and validity of survey items was evaluated. And the T-test was performed to compare regional differences of customer satisfaction. Finally to analyse the affecting factors on overall satisfaction, and customer loyalty(intent to revisit and intent to recommend), the multiple regression analysis was used. This study shows firstly, the Daegu region's patient satisfaction level of inpatients and outpatients is lower than Seoul region. Especially, nursing staff factors and quality of hospital stay items are very low on inpatient's satisfaction. Also all independent variables except the sufficiency of goods in hospital stand are very low on outpatient's satisfaction. Secondly, as a result of multiple regression analysis, ancillary staff factors(Beta=0.281) have a significant effect on overall satisfaction of inpatient cases in Daegu region. In regard to intent to revisit and intent to recommend, physical environment factors have a significant effect. Thirdly, in Seoul region, physical environment factors(Beta=0.430) have a significant effect on overall satisfaction of inpatient cases. In regard to intent to revisit and intent to recommend, administrative procedure items and nursing staff factors have a significant effect, respectively. In conclusion, these results indicate that hospitals in Daegu region make an effort to improve the customer satisfaction level, especially, of physical environment factors on inpatients and administrative procedure factors on outpatients

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A Decomposition of the Gap between the Capital and Non-Capital Regions in the Inequality of Wealth (수도권과 비수도권 간 자산 격차의 요인분해)

  • Jeong, Jun Ho
    • Journal of the Economic Geographical Society of Korea
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    • v.22 no.2
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    • pp.196-213
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    • 2019
  • This paper attempts to analyze the contribution of different socioeconomic factors such as income, age, gender, household composition, education and employment status etc. to the difference between the Capital and Non-Capital Regions in the net wealth inequality of household in Korea. To this end, a two-stage Oaxaca-Blinder type decomposition is employed regarding the regional gap in the inequality of net wealth based upon the Recentered Influence Function of the Gini index for 'the 2018 Household Finance and Living Conditions Survey.' Despite the shortcomings of the survey data on wealth, the findings reveal that regional differences in income, marriage status (divorce), job type (agriculture, forestry and fishery related, and technical and assembly), family type (multi-cultural) variables deepen the regional gap in the net-wealth inequality, but employment status (full-time), job type (administrative and specialized, and service sales), household size variables mitigate the gap, and that regional differences in life cycles play an offsetting role.