• Korean Journal of Health Education and Promotion
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• v.21 no.4
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• pp.75-97
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• 2004

Objectives: To examine whether the socioeconomic characteristics of communities (contextual effects) are related to the self-rated health of community residents after controlling individual characteristics (compositional effects). Methods: A linked data set including information on individuals from raw data of 1998 Korean National Health and Nutrition Survey(KNHNS) and information on the regions where the individuals lived from the socioeconomic statistical indices of Si-Gun-Gu (city-county-ward) in 1998 was established. The contextual factors of communities were generated from these socioeconomic indices through factor analysis. The contextual effects of community over and above the individual characteristics on the self-rated health were investigated using multilevel analysis. Results: The contextual factors of the community expressed as the factor scores have influence on the self-rated health of their residents above the compositional factors. When the communities were categorized into 5 groups (highest, high, middle, low, lowest) according to each of their factor scores, for factor 1 reflecting urbanization reversely, the residents of the communities that had the high, middle, and low factor scores showed significantly poor subjective health status than the residents of the lowest (most urbanized) group. For factor 2 reflecting community services and health resources, the subjective health status of the residents gradually became poorer when the group went from the highest to the lowest, and the low and lowest groups showed a significant difference. For factor 3 reflecting the manufacturing industry, as compared with the communities that have the highest factor scores, the other 4 groups showed significantly poorer subjective health status. And for factor 4 reflecting the scale of the regional government, as compared with the middle group, the rest of the 4 groups showed significantly better self-rated health. Conclusions: There existed regional contextual effects on their residents' health in Korean adults. To make policies tackling these contextual effects possible, more elaborate researches to find more specific factors and to explain the mechanisms of how health is influenced by the contextual factors are needed.

• Journal of Korean Academy of Nursing
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• v.42 no.5
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• pp.749-758
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• 2012

Purpose: The purpose of this study was to develop a tool for measuring the intra-operative caring as perceived by regional anesthesia patients. Methods: A preliminary instrument with 54 questions, based on a literature review and semi-structured interviews with 11 regional anesthesia patients, was developed. A group of experts revised individual questions, and 34 questions were finally selected. This tool was tested with 137 regional anesthesia patients admitted to D university hospital in B city from August to October 2008. Results: The validity and reliability of the tool were tested using factor analysis. After item analysis, one question with a correlation coefficient under .30 was discarded After performing factor analysis on the final 33 questions, 7 factors were identified; holistic needs fulfillment, consideration, protective environment, cautiousness, concern, information, physical comfort. The total variance shown in the test was 73.5%. A Cronbach alpha of 0.96 showed the reliability of the instrument. Conclusion: Results of this study indicate that the tool is statistically reliable and valid to measure the intra-operative caring perceived by regional anesthesia patients. This tool can be utilized usefully in assessing the effects of nursing interventions for regional anesthesia patients.

• Journal of the Korean Institute of Rural Architecture
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• v.8 no.2
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• pp.11-18
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• 2006

Ecomuseums come into close relationship with resident and community. Progress of heritage concept brings on the change of valuation standard in heritage, that life style of residents become most important element of cultural heritage. The change of display method has caused the generation of various experience programs in ecomuseum which are display and education based on participation of visitors and residents. Ecomuseums in Europe during progress have conceptual peculiarities by themes to keep the cultural identity and protect folk culture in regional community. 'Europe Ecomuseum Network' seriously affected by social change and development is new alternative to promote regional identity and cultural exchange among Europe countries. People participation with all residents is decisive factor to promote identity and attachment in native place, as well as collaboration with residents, experts, administrators and NGO is one factor for sustainable development and the realization of ecomuseum, activation of regional economy, and also is the root of efforts to protect and activate regional community.

• Journal of Wetlands Research
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• v.21 no.2
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• pp.163-172
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• 2019

The USLE P factor is a factor that varies depending on how croplands are managed and cultivated. Previous studies tend to overestimate the amount of soil loss because the factor was estimated from the slope of the watershed rather than the estimate of each cultivated land. In addition, the accuracy of estimating the soil loss is decreasing due to the fact that the factor is calculated without considering various conditions of cultivated land defined by Wishmeier and Smith. In order to overcome these problems, the Ministry of Environment (MOE) has proposed to establish the topsoil notification and calculate the P factor according to the cultivation methods (e.g., tillage system, support practice). However, it is required to apply the conditions proposed in the United States to domestic circumstances as it is causing uncertainties. Thus, this study selected the watersheds where soil loss was serious (Haean, Jaun, Banbyeoncheon), measured the actual slopes and slope lengths, and examined the crop, tillage systems, and support practice for each cultivated land. The P factors were recalculated considering the actual conditions of cultivated land and compared to the factors proposed by the previous studies (MOE). As the result of the study, the P factors calculated based on the previous studies were 0.8 ~ 1.0 in three watersheds. On the other hand, it is confirmed that there is a significant difference between the factors notified by MOE and estimated by reflecting the topography and cultivation methods in this study. Therefore, it is considered that the research for developing the cultivation conditions to calculate the P factor suitable for the domestic environment should be continuously carried out.

• Journal of Korea Technology Innovation Society
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• v.18 no.1
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• pp.151-175
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• 2015

The focus of regional innovation policies is shifting from a central government to local governments. No one denies the fact that the innovation will lead regional development and shall be created in such a way that it will be appropriate for regional circumstances. However, the central government and local governments have not arrived yet at a conclusion on what innovation policies are appropriate for regional circumstances. This leads to a consequence that is inefficient not only at a national level, but also at a regional level. This research, given this problem, aims to find out the characteristics and differences in innovation types among the regions in Korea and suggests appropriate policy implications by classifying such characteristics and differences. This research, given these objectives, classified regions in consideration of the various indicators that comprise the innovation suggested by existing related researches and illustrated policies based on such characteristics and differences. In this research clustering analysis based on multiple factor analysis was applied. Supplementary researches on dynamically analyzing stability in regional innovation types, establishing systematic indicators based on the regional innovation theory, and developing additional indicators are necessary in the future.

• Korean Journal of Soil Science and Fertilizer
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• v.44 no.6
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• pp.983-990
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• 2011

Universal Soil Loss Equation (USLE) has been used to estimate potential long-term soil erosion in the fields. However, the USLE does not estimate sediment yield due to lack of module considering sediment delivery ratio (SDR) for watershed application. For that reason, the Sediment Assessment Tool for Effective Erosion Control (SATEEC) system was developed and applied to compute the sediment yield at watershed scale. However, the R factor of current SATEEC Ver. 2.1 was estimated based on 5-day antecedent rainfall, it is not related with fundamental concept of R factor. To compute R factor accurately, the energy of rainfall strikes should be considered. In this study, the R module in the SATEEC system was enhanced using formulas of Williams, Foster, Cooley, CREAMS which could consider the energy of rainfall strikes. The enhanced SATEEC system ver. 2.2 was applied to the Imha watershed and monthly sediment yield was estimated. As a result of this study, the $R^2$ and NSE values are 0.591 and 0.573 for calibration period, and 0.927 and 0.911 for validation period, respectively. The results demonstrate the enhanced SATEEC System estimates the sediment yield suitably, and it could be used to establish the detailed environmental policy standard using USLE input dataset at watershed scale.

• Journal of Agricultural Extension & Community Development
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• v.19 no.4
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• pp.1041-1066
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• 2012

This article aims to analyse the change factor of the industry in rural area. As the regional economy is consist of variety industry in local Revitalization of Rural Economy should consider the growth factor of industry. Analytical method is Shift-Share analysis, analysis data is used GRDP of the 5 target area. Analysis is showed that Agriculture, forestry and fishing is leading position. but Farm population decreased rapidly underway. Side work farmer and industry population is increasing rapidly. the Regional Economic growth inhibitory of 5 Gun is the weakness of the internal factor. especially Competition component is than industry-Mixed component. and the Growth of Agriculture, forestry and fishing is external factor. To improve the regional economy, 5 Gun must improve the fault. and the growth of Agriculture, forestry and fishing should promote the consumption of local products to as the local food system.

• Journal of the Korean Regional Science Association
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• v.34 no.4
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• pp.3-18
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• 2018

These days, regional innovation draws more attention than ever as a growth engine for regional economies, and governments put a variety of efforts to establish Regional Innovation systems(RISs). In this circumstance, this study aims to analyze types of RISs and the combinations of the factors influencing innovation performance as measured by patent application. Most of previous works have depended on case-oriented or variable-oriented strategy to classify types of RISs or to analyze the effects on performance of innovation factors, having some limitations: Variable-oriented approaches fail to capture complex combinatory effects of factors, while case-oriented approaches tend to depend on subjective interpretation. This study made use of the recently proposed fs/QCA(Fuzzy-set Qualitative Comparative Analysis) to overcome the limitations of those strategies. Based on the theory of RIS, three factors for regional innovation-input, infrastructure, and network-are used to classify 16 Korean Provinces. The results show that eight types of regional innovation types are identified, and that most of the regions are classified into either IN-type, equipped with high levels of Input and Network, or F-type, with high levels of infrastructure. In addition, applying seven sub-variables of the three factors to the fussy-set combination factor analysis, we examine a combination of factors influencing patent application. The results show that regions with high levels of R&D expense, valid patent, industry-academia cooperation, IP budget, and TLO values, and low IP capital almost always have a high level of patent application. Therefore, for regional innovation, the public sector needs to provide institutional support for R & D personnel training. It is also important to for both the public and the private sectors to make efforts to stimulate IP financing.

• Health Policy and Management
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• v.33 no.2
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• pp.118-128
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• 2023

Background: Personal socio-economic abilities are crucial as it affects health inequalities. These multidimensional inequalities across the regions have been structured and fixed. This study aimed to analyze health vulnerabilities by regional cluster and identify regional health disparities of self-rated health, using nationally representative cross-sectional data. Methods: This study used personal and regional data. Data from the Community Health Survey 2021 were analyzed. K-means cluster analysis was applied to 250 si-gun-gu using administrative regional data. The clusters were based on three areas: physical environment, health-related behaviors and biological factors, and the psychosocial environment through the conceptual framework for action on the social determinants of health. And binary logistic regression analyses were conducted to examine the differences in self-rated health status by the regional clusters, controlling human biology, environment, lifestyle, and healthcare organization factors. Results: The most vulnerable group was group 3, the moderate vulnerable group was group 1, and the least vulnerable group was group 2. The group 2 was more likely to have high self-rated health status than the moderate vulnerable group (odds ratio [OR], 1.023; p<0.001). And the group 3 showed low self-rated health status than the moderate vulnerable group (OR, 0.775; p<0.001). However, the moderate vulnerable group had significantly higher self-rated health status than the most vulnerable group (group 2: OR, 1.023; p<0.001; group 3: OR, 0.775; p<0.001). Conclusion: These results demonstrate that community members' health status is influenced by regional determinants of health and individual levels. And these contribute to understanding the importance of specific and differentiated interventions like locally tailored support programs considering both individual and regional health determinants.

• Journal of Environmental Science International
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• v.10 no.3
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• pp.209-216
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• 2001

Dustfall particles were collected by the modified American dust jar (wide inlet bottle type) at 6 sampling sites in Pusan area from March, 1999 to February, 2000. Thirteen chemical species (Al, Ca, Cd, Cr, Cu, Fe, K, Mg, Mn, Ni, Pb, Si, and Zn) were analyzed by AAS and ICP. The purposes of this study were to estimate qualitatively various bulk deposition flux of dustfall and insoluble components by applying regional and seasonal distribution. Dustfall amount of regional variations were found in order of coastal zone, industrial zone, commercial zone, agricultural zone and residential zone, and seasonal total dustfall had higher concentrations during spring for 6.741 ton/${km}^2$/season, lower concentrations during summer for 1.989 ton/${km}^2$/season, and annual total concentration was 17.742 ton/${km}^2$/year. The regional distributions of enrichment factor show well-defined anthropogenic metals (Cd, Cu, Pb, and Zn) at industrial and agricultural zone, and contribution rate of soil particles were found in order of summer, fall, winter and spring. Factor loading effects of chemical composition of dustfall were found in order of road traffic emission source and combustion processed source, industrial activity source, soil source and marine source.