• Korean Journal of Health Education and Promotion
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• v.20 no.1
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• pp.19-39
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• 2003

Purpose: Although there is a lot of secondary data available for comparing community health status and planning health policies in terms of large area such as metropolitan cities or provinces, there is restricted data for establishing community health policies of the small areas such as towns, Gun(i.e., districts), and Gu. Specifically, the problems of producing a valuable index for health promotion in small areas are three fold: First, there is not an appropriate index model for measuring a small community health status. Second, a large part of secondary data in the small areas has been produced in an irregular time interval. In addition, all valuable data can not be integrated without time consuming work. Thus this study tries to establish a health promotion index model for assisting community health promotion initiatives of local governments. Methods and materials: Literature review, community health specialist consultation and a questionnaire survey was performed. Results: Based on Dever's model, a prototype of health promotion indicators was proposed and modified by the community health specialists. 15 classification scheme of statistical yearbook reorganized into the six areas. Those six areas were comprised in 24 indicator class with 96 specific indicators. Through further modification processes by a questionnaire survey, we developed a health promotion indicator model that contains six areas with 23 indicator class encompassed by 87 specific indicators. Conclusions: This study proposed a model of health promotion indicator comprised in the six areas with 23 indicator classes for measuring small area health promotion status. However, more specific or additional data in human biology, environment, and socioeconomic data is essential for producing a stronger model for health promotion measurement.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.129-137
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• 2019

The purpose of this study is to analyze the efficiency of budget utilization of science and technology by the Chinese autonomous province and to present the direction of improvement. Data were obtained from the 2013-2017 statistical yearbook of higher education published by the Ministry of Education of China, and efficiency was analyzed using the malmquist analysis method. The analysis found that the low technological progress caused changes in the productivity MPI index, and that cities affected by technological efficiency needed to improve internal factors such as internal coordination and restructuring of universities in the region to increase efficiency. And it was found that areas affected by technological change needed proper response to external factors such as government policy, economic environment, social environment or technological development. This study is meaningful in that it presented reference data in enhancing efficiency of budget utilization of science and technology by autonomy of China, and it is necessary to establish strategies and study essential factors to increase efficiency of inefficient areas in the future.

• Journal of the Korean Association of Geographic Information Studies
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• v.12 no.4
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• pp.18-33
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• 2009

The purpose of this study is to analyze the effect that consumption patterns of human affect the ecosystem using analysis of ecological footprint(EF) and assessment of ecosystem service value in Daegu Metropolitan Area. The data for analysis were constructed from statistical yearbook of each city and average of public land price on land category. According to the EF analysis on city, total EF of Goryeong was showed the highest by 3.3052gha in 2007. However, total EF of Daegu was assessed the lowest by 2.0134gha among 8 cities. In the results of ecological deficit, 7 cities except Gunwi were assessed by condition of ecological deficit and had exceeded environmental capacity until 2007. Specially, it was analyzed that Daegu may need additional area more than about 30 times to maintain the present consumption patterns. On the one side, the results of analysis of ecosystem service value in Daegu were assessed that citizens of Daegu have borrowed about 1,078.6 million wons to ecosystem per year and one person.

• Journal of the Economic Geographical Society of Korea
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• v.21 no.4
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• pp.350-369
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• 2018

The aim of this study is to investigate foreigner's spatial change and relations to industrial workers in the sixteen districts of Busan metropolitan city from 2000 year to 2015 year. To achieve the goal, the data published in Pusan Statistical Yearbook was analyzed by descriptive and inferential statistics. The results are summarized in the followings. Firstly, the spatial changes of foreigners as a whole during 2000~2015 year are different based on their nationality. Secondly, foreigner's spatial change based on nationality and gender is much complex. The meaning of foreigner's spatial change in each district tested by nonparametric statistics is different according to a time scale. Thirdly, the relationality between foreigners as a whole and industrial workers in the sixteen districts is different by nationality and gender. The study method can be utilized at other cities or regions, and the results of those studies can be helpful to solve various problems due to increasing foreigners.

• Industry Promotion Research
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• v.6 no.4
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• pp.83-93
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• 2021

This work aims to use the analytic hierarchy process (AHP) tool to develop the model of industrial competitiveness in the nursing homes of eleven provinces in east China. The original data is from China Civil Affairs Statistical Yearbook 2020. The results show that Jiangsu province has the highest competitiveness in the elderly care industry among the eleven provinces in east China, and Hainan province has the lowest competitiveness. The competitiveness of the elderly care industry varies among the eleven provinces in east China. The ratios of beds to medical staff, the ratio of nursing homes, per capital fixed assets in nursing homes, and the number of unable self-care elderly are the four main influential factors across the competitiveness of the elderly care industry and indicates that the nursing homes competitiveness is affected by multiple factors from multiple levels. A differentiated strategy should be taken according to the circumstances in different provinces to rationally develop the elderly care industry, improving efficiency, the level, and quality of services in the nursing homes.

• Journal of Industrial Convergence
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• v.21 no.3
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• pp.149-157
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• 2023

The purpose of this study was to verify the mediating effect of self-efficacy in the effect of social workers' ethical consciousness on job satisfaction. Based on the ratio of the statistical yearbook of Korean social workers in 2020, the subjects of the study conducted an online survey on 512 social workers working at social welfare facilities in Seoul. The study was conducted with IRB approval. The analysis and statistics of this study used SPSS & AMOS 25.0. Bootstrapping was used to verify the mediating effect of self-efficacy in the effect of social workers' ethical consciousness on job satisfaction. As a result of the study, the positive effect on self-efficacy and job satisfaction of social workers was verified. In addition, the positive mediating effect of self-efficacy was verified between the ethical consciousness of social workers on job satisfaction. The results of the study suggest the importance of systems and practices to support capacity building and promote self-efficacy for ethical awareness to improve job satisfaction of social workers.

• Health Policy and Management
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• v.33 no.4
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• pp.411-420
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• 2023

Background: The purpose of this study was to analyze the demand and supply status of patient beds by type of medical institution, categorized into 70 clinical privilege, in order to understand the regional bed supply situation. Methods: Utilizing the 70 clinical privilege defined by the Ministry of Health and Welfare, we calculated bed demand and supply quantities from 2019 to 2021 using data from Statistics Korea and the Health Insurance Statistical Yearbook. The bed demand calculation formula was based on the detailed guidelines for the medical sector by the Korea Development Institute and the 3rd edition of bed supply basic policies announced by the Ministry of Health and Welfare. Additionally, to mitigate distorted bed supply situations caused by factors such as regional levels and patient outflows, we classified bed supply types using the population decrease index indicator published by the Ministry of Public Administration and Security. Results: Among the 70 clinical privilege, it was analyzed that a relatively balanced bed supply situation exists overall, irrespective of the type of healthcare institution. However, in medical institutions at or above the level of hospitals, regions with bed supply ratios exceeding 20% compared to demand, particularly in institutions at or above the level of general hospitals, showed a relatively high rate of demand diversion. Conclusion: We have identified the bed supply types in the 70 clinical privilege in South Korea. Based on the results of this study, we emphasize the need for bed supply policies that consider regional characteristics. It is expected that this research can serve as fundamental data for future efforts aimed at managing or rectifying bed supply imbalances on a regional basis.

• Korean Journal of Agricultural Science
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• v.50 no.4
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• pp.903-916
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• 2023

This study aims to establish basic data for efficient management of rural water by analyzing regional irrigation facilities and benefitted areas in the statistical yearbook of land and water development for agriculture at the watershed level. For 511 domestic rural water use areas, water storage facilities (reservoirs, pumping & drainage stations, intake weirs, infiltration galleries, and tube wells) are spatially distributed, and the benefitted areas provided at the city/county level are divided by water use area to provide agricultural water supply facilities. The characteristics of rural water district areas such as benefitted area, were analyzed by basin. The average area of Korea's 511 rural water districts is 19,638 ha. The average benefitted area by rural water district is 1,270 ha, with the Geum River basin at 2,220 ha and the Yeongsan River basin at 1,868 ha, which is larger than the overall average. The Han River basin at 807 ha, the Nakdong River basin at 1,121 ha, and the Seomjing River basin at 938 ha are smaller than the overall average. The results of this basic analysis are expected to be used to set the direction of various supply and demand management projects that take into account the rational and scientific use and distribution of rural water and the characteristics of water use areas by presenting a quantitative definition of Korea's agricultural water districts.

• Journal of Korea Port Economic Association
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• v.37 no.4
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• pp.127-144
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• 2021

The purpose of this study is to derive service factors based on the "Rail Statistical Yearbook" data of railroad service providers from 1990 to 2019, and to analyze the effect of the service factors on the operating profit ratio(OPR), a representative management performance variable of railroad transport service providers. In particular, it has academic significance in terms of empirical research to evaluate whether the management innovation of the KoRail has changed in line with the purpose of establishing the corporation by dividing the research period into the first period (1990-2003) and the latter (2004-2019). The contents of this study investigated previous studies on the quality of railway passenger transportation service and analyzed the contents of government presentation data related to the management performance evaluation of the KoRail. As an empirical analysis model, a research model was constructed using OPR as a dependent variable and service factor variables of infrastructure, economy, safety, connectivity, and business diversity as explanatory variables based on the operation and management activity information during the analysis period 30 years. On the results of research analysis, OPR is that the infrastructure factor is improved by structural reform or efficiency improvement. And economic factors are the fact that operating profit ratio improves by reducing costs. The safety factor did not reveal the significant explanatory power of the regression coefficient, but the sign of influence was the same as the prediction. Connectivity factor reveals a influence on differences between first period and latter, but OPR impact direction is changed from negative in before to positive in late. This is an evironment in which connectivity is actually realized in later period. On diversity factor, there is no effect of investment share in subsidiaries and government subsidies on OPR.

• Journal of Distribution Science
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• v.12 no.4
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• pp.23-30
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• 2014

Purpose - The purpose of this study is to analyze the efficiency of retail businesses by dividing domestic retailers into discount stores, super supermarkets (SSMs), and department stores. It suggests retail-business investment strategies by using data environment analysis (DEA) to analyze how input elements such as store area, parking lot area, number of employees, and sales management expenses for the convenience of customers positively affect business performance measurements such as sales and visiting customers per day. Research Design, Data, and Methodology - The DEA model calculates a ratio of the weighted mean of various inputs to the weighted mean of various outputs and measures the efficiency of a specific decision making unit (DMU). The study included 19 companies (five discount store DMUs, ten SSM DMUs, and four department store DMUs). Because the business elements and sizes of retail store DMUs used in this analysis are different, average per-store input and output variables were used. Data were collected from "The Yearbook of Retail Industry in Korea (2012)." DEA analysis was used to determine differences in efficiency among discount stores, SSMs, and department stores in terms of the business elements of each retail business. It was also used to determine what business elements were excessively invested in by comparing and analyzing efficiency by business elements using SPSS software's ANOVA (Analysis of Variance). Results - The CCR and BCC efficiency analysis found that the efficiency of discount stores is low. We believe that the saturation state of discount stores is a major factor. The ANOVA analysis confirms the VRS hypothesis with a statistically significant difference among the three groups, based on an analysis confidence interval of 95%. CRS and SE were not found to be significantly different among the three groups. As for the post hoc test, which concretely shows differences by group, the Scheffe's multiple comparison analysis test found the average differences between group 1 (discount stores) and group 2 (SSM) to be statistically significant. Conclusions - The DEA efficiency analysis implies that investment in input elements, including store area, parking lot area, and sales management expenses, were excessive in the case of discount stores, while SSMs need to invest more in promotion activities such as gifts, events, and coupons for customer management. Department stores have found that small companies invest excessively in input elements. Department stores need to invest in differentiated shopping mall complexes. This study was limited in acquiring statistical data; various input variables which might have shown more secure customer management and promotional expenses could not be applied. As the study was limited in various aspects of the efficiency analyses because financial analyses of the companies and of causal relationships, including satisfaction and loyalty of visiting customers, were not done, these aspects will be examined in the next study.