• Journal of Agricultural Extension & Community Development
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• v.17 no.2
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• pp.213-232
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• 2010

The regional development strategy of China is involved basically with national macro economical development policies. In general, the development process were The procedures of 'balancing development-unbalancing development- rebalancing development'. The first restructuring is a balancing development strategy represented as the three-district construction and the second restructuring is the unbalancing development strategy represented as the preferential development of the east area after reformation & development. The third regional development strategy making current progress is a new regional balancing development policy including the great development of the west district. The study grasped how much the regional balancing development policy contributed to bridge the gap among other areas with coefficient of variation to analyze changes of regional development related indexes among the areas before/after the regional balancing development policy which had been progressed after 1991 with harmonious development among areas as its goal was carried out. It was also analyzed that the Chinese government's goal of regional development policy was how well-suited to the Chinese reality through regression analysis, so far. However, the results obtained of the study were summarized in Table6, Table7 and Table8.

• Korean Journal of Soil Science and Fertilizer
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• v.35 no.2
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• pp.87-92
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• 2002

Soil erosion is detrimental to sustain soil productivity in north Korea, since agriculture of this country depends largely upon the slope land in mountainous area. Taking any measure for protection from erosion should be based on prediction of soil loss. Estimation of rainfall factor, R, in north Korea for the Universal Soil Loss Equation was attempted. The monthly precipitation data of the twenty six locations provided by the Korean Meteorological Adminstration were used. From the relationship between II_30 and the July-August precipitation concentration percents, the regional adjustment factor was obtained. The rainfall factor was calculated with the monthly precipitation data and the regional adjustment factor. The annual precipitation in north Korea ranged from 606 to 1,520mm, and the July-August precipitation concentration percents were 34.4 to 53.8. The regional adjustment factor ranged from 0.53 to 1.33 showing lower value in the highland and east coastal region than in the mid mountainous inland and west region. The R-factor value estimated from the monthly precipitation and the regional adjustment factor ranged from 107 to 483, which was lower than average value in south Korea.

• Journal of Agricultural Extension & Community Development
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• v.22 no.2
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• pp.101-116
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• 2015

This study aims to identify the decision-making factors of people who have returned to rural areas for farming and residence according to personal characteristics and regions. The survey was conducted on 420 return farmers of six cities and counties in Gyeongsangbuk-Do from September 1st to October 11th 2013. For data analysis, researchers used 280 answered sheets and utilized two-way ANOVA and multinomial logistic regression analysis. Research results indicate three factors of returning to farm which are pull to rural area, push from city, and policy factor. The highest scores of factor is pull to rural area (2.93), the second one is push from city (2.31), and the lowest score is politic factor (2.18). In addition, these three factors of returning to farm are elucidated by environmental variable, economic variable, and information and opportunity provided by government. In other words, the factor of pull to rural area is related environmental variable and the factor of push from city is affected by economic variable. Lastly, politic factor pertains to information and opportunity provided by government.

• Research in Community and Public Health Nursing
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• v.29 no.1
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• pp.21-32
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• 2018

Purpose: This study attempted to identify regional disparities of self-rated health among Korean wage workers and to investigate the influencing factors on them. Methods: The study subjects were 25,069 workers in 16 regions who were extracted from the 2014 Korean Working Condition Survey (KWCS). A multilevel analysis was conducted by building hierarchical data at individual and regional level. Results: In this study, 'financial autonomy rate' and 'current smoking rate' were identified as regional factors influencing the workers' self-rated health. When the socio-demographic and occupational factors of the workers were controlled, 'current smoking rate', a health policy factor, explained the regional disparity of workers' health status. Conclusion: We found that the health status of workers can be affected by the health behavior level of the whole population in their residential area. In order to improve the health status of working population and to alleviate their regional health inequalities, it is necessary to strengthen macro and structural level interventions.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.2
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• pp.233-246
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• 2013

This paper investigates both the spatial patterns of aging population and its formal regional structure in 2010. The results are as follows: first, aging index shows high values in remote mountainous and coastal regions while showing relatively low values in Capital Region and large provincial cities. Aging index has low negative correlation with such variables as population increasing rate, ratio of youth population, ratio of apartments, and ratio of newly built housing. However, aging index shows high positive correlation with variables including ratio of single unit house, ratio of aged peoples' house ownerships, ratio of welfare recipients, ratio of old housing, and number of public healthcare facilities. Secondly, four factors are identified from factor analysis including aging factor, welfare factor, economic vitality factor, and new town factor. The aging level of a region is negatively related to the strong level of those factors. Thirdly, cluster analysis results in four different types of formal regions including rural mountainous coastal type, rural non-capital region type, large metropolitan type, and provincial industrial city type.

• Journal of Korean Society of Rural Planning
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• v.26 no.4
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• pp.107-116
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• 2020

The purpose of this study is to analyze the characteristics of the 11 southeastern states in the United States by using regional characteristics variables and to classify the regions. First, 19 variables from four categories of population, society, industry-economy and urban service were selected and factor analysis were conducted, and the result showed five major factors of population, economic condition, job and commuting. Based on the following factor scores, a cluster analysis was conducted, and eight types of big city, medium-sized city, bed town, small town, urban hinterland, retirement town, and rural village were derived. These types of spatial distribution characteristics showed big cities were by different types of regions and they formed metropolitan areas. Each types of classified regions were located along the road network with hierarchy. The study focused on cases in the southeastern regions of the United States and can be used as a comparison with Korean cases. If the same research method is applied to Korea in the future, or if the time series of changes is tracked by analyzing different time points, it will greatly help identify the characteristics of urban and rural mixed areas.

• Journal of Ecology and Environment
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• v.38 no.1
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• pp.1-14
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• 2015

Whilst it is clear that increasing temperatures from global environmental change will impact the positions of alpine treelines, it is likely that a range of regional and local scaled factors will mediate the overall impact of global scale climate drivers. We summarized 12 categories of abiotic and biotic factors as 4 groups determining treeline positions. First, there are global factors related to climate-induced growth limitation and carbon limitation. Second, there are seven regional and local factors related to treeline dynamics including frost stress, topography, water stress, snow, wind, fire and non-fire disturbance. Third, species-specific factors can control treeline dynamics through their influence on reproduction and life history traits. Fourth, there are positive feedbacks in structuring the dynamics of treelines. Globally, the commonly accepted growth limitation hypothesis is that growth at a treeline is limited by temperature. Meanwhile, positive feedbacks between canopy cover and tree establishment are likely to control the spatial pattern and temporal dynamics of many treelines. The presence of non-linear dynamics at treelines has implications for the use of treelines as barometers of climate change because the lagged responses and abrupt shifts inherent in non-equilibrium systems may combine to mask the overall climate trend.

• Asia-Pacific Journal of Business
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• v.10 no.4
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• pp.119-135
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• 2019

This study analyzes the effects of trade globalization and financial globalization on consumption classified by type(durable, quasi-durable, non-durable and service). On the other hand, trade globalization and financial globalization were decomposed into OECD common factor, regional factors, and the idiosyncratic country-specific factors by time-varying dynamic factor analysis. The characteristics of OECD common factor, regional factors, and the idiosyncratic country-specific factors of trade and financial globalization were analyzed. Furthermore, the influences of these factors on consumption by type were analyzed. The analysis shows that globalization has negative effects on consumption. In particular, we found out that the idiosyncratic country-specific factor of Korea in trade and financial globalization had a statistically significant negative effect on consumption. We can infer that the globalization affecting consumption can be attributed to the idiosyncratic country-specific factor, which is economic choice rather than uncontrollable global trend. Accordingly, to solve the sluggish consumption problem caused by globalization, it is necessary to require not only domestic consumption expansion policies but also the efforts to resolve economic polarization problems to be able to stimulate consumption.

• Journal of Korean Society of Rural Planning
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• v.14 no.3
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• pp.63-73
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• 2008

The purpose of this study is to analyze the determinants of the digital divide at individual level and regional level in Korea, considering interaction between individual and the regional variables. Following results are obtained. First, individual level digital devide in the 16 different regions has been found in terms of Internet use, implying the needs for further analysis on impact of the regional factor in individual Internet use. Second, the result finds the impact of level-l individual variables, "gender, age, education, income and jobs" on digital divide, significantly at level 10% level. Third, the regional variables influencing the individual digital divide were not found at state level. However, regional factors might affect digital devide at county level. Study suggest some plans to reduce digital divide. First, the digital devide at individual level should be remedied by focusing on neglected class of people. Second, we need to approach the digital divide by analyzing in more detail, reflecting interactions of the regional variables and individual variables. Third, we should come up with a policy for mending the digital divide at regional level.

• 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.