• Journal of the Korean Statistical Society
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• v.6 no.2
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• pp.155-165
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• 1977

현 시점에서의 인구의 성별/연령별 구성은 과거의 출산, 사망에 의한 인구진행과정(demographic process)의 잔류효과라고 볼 수 있다. 한편 현재의 인구의 성별/연령별 구성은 장래의 인구증가에 잠재적인 영향력을 미치게 된다. 예를 들면 인구의 대부분이 45세 이상으로 구성되어 있다면 출산률은 낮고 사망률은 높아서 인구증가는 더디다. 즉 인구의 연령별 구성은 인구증가를 좌우하는 하나의 동적인 요인으로 볼 수 있다. 연령구성이 한 결과인 동시에 하나의 요인이기도 하다는, 이러한 이중적인 성격은 서로 얽히고 복잡한 것이다. 이 논문에서는 둘째 관점, 즉 연령구성을 하나의 동적요인으로 보고, 그것이 인구증가에 미치는 잠재력(potentail) 또는 관성(momentum)에 관해서 고찰하고 최근(1970, 1975)의 한국 센서스 결과에 대해서 이를 정량적으로 계측하고자 한다.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.1-6
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• 2021

The purpose of this study is to find a way to increase the examination rate by presenting the current state of national health examination. To this end, demographic factors(Gender, age, income level, education level) and health factors(Smoking, alcohol, obesity, subjective health status) were selected, and whether the selected factors were different for each group, and the examinees according to the number of hospitals and income level were visualized. As a result, except for subjective health status in health factors, population factors, and number of hospitals were all related to the examination. In addition, among the age factors of the demographic factor, those in their twenties and those with a low income level and those who were underweight among the health factors of obesity had a high rate of non-testing. Therefore, it is considered necessary to promote, support, and educate those untested by these groups.

• Journal of the Korea Society of Computer and Information
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• v.18 no.12
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• pp.159-166
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• 2013

The primary objectives of this study were to identify who is happier in workplace. To do this, this study proposed and analyzed a theoretical model consisting of demographic factors such as sex differences, age band, marital status, child quantity, religion, education level, position, job, income etc, psychological factors such as extroversion, neurosis, positive belief and happiness level. The major results of analysis reveal that first, both demographic factors and psychological factors have a positive effect on the happiness level of office-worker. Second, child quantity, neurosis and positive belief is an important factors in predicting office-worker's happiness. In conclusion, the implication of our research is to verify factors to promote the happiness level of office workers.

• Journal of Cadastre & Land InformatiX
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• v.44 no.2
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• pp.155-175
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• 2014

This study targets to recognize needs of spatial pattern analysis and to draw the relationship between relocation of Capital Region firms and population outflow in Capital Region through the regression analysis. The population outflow in Capital Region has moved to and around Yesan-gun and Asan-si. Also, such outflow is found to compose mostly one or two household members for their jobs. In addition to this study has analyzed to find effect factors through the Geographically Weighted Regression. The results of the analysis has confirmed that the most decisive factors affecting population flow from Capital Region to Chungcheongnam-do were population factors and transportation factors and others. Thus, the below policy implications could be derived and also may be applied toward Sejong City which are currently experiencing the relocating of Public sectors and new constructions. Firstly, the effect of Capital Region firms movement on population inflows could be better observed in small-scale towns like "kun" than larger-scale towns like "si.". On the other hand, people in Capital Region moved to larger-scale towns like "si" unlike the Capital Region firms. This difference implicates that people select their residence according to not only their jobs but also residential environment. Secondly, moving people from Capital Region to another region for their jobs are expected to appear more in a form of family units rather than individual units. Sejong city, where public organizations are being relocated, should recognize this particular Chungcheonnam-do phenomenon and be prepared to be more effectively used in perspectives of land use as well as urban planning.

• KDI Journal of Economic Policy
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• v.16 no.1
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• pp.93-117
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• 1994

이론적으로, 국가경제에 있어서 인구구조(人口構造)의 변화(變化)는 인적자본(人的資本) 형성 및 노동공급(勞動供給), 각 주체들의 소비(消費) 저축행위(貯蓄行爲) 등의 장기적(長期的) 추세(趨勢)를 결정짓는 중요한 요인으로 인식되어 왔다. 본 논문에서는 우리나라의 연령별(年齡別) 인구구조 변화가 거시경제변수인 가계소비(家計消費), 금리(金利) 및 경상수지(經常收支)에 미치는 영향에 대하여 이론적(理論的)인 모형(模型) 제시(提示)와 함께 실증분석(實證分析)을 시도하였다. 이론적 모형에서는 인구구조 변화와 이러한 거시경제변수들간의 관계를 평생소득가설(平生所得假說)에 의거하여 설정하였으며, 실증분석 결과는 실제로 인구구조 변화의 거시경제적 효과가 통계적(統計的)으로 유의성(有意性)이 매우 높게 나타나고 있음을 보여주고 있다. 그러나 가계소비와 경상수지의 경우, 장년층인구(壯年層人口)의 상대적(相對的) 증가(增加)는 경제전체의 평균소비성향(平均消費性向)을 낮추고 경상수지(經常收支)를 개선(改善)하는 요인인 것으로 분석되어 평생소득가설에 잘 부합하고 있는 반면, 금리(金利)의 경우에는 장년층인구 증가가 금리를 상승(上昇)시키는 요인으로 나타나고 있어 평생소득가설에 상반(相反)되는 모습을 나타내고 있다.

• Journal of Distribution Science
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• v.10 no.5
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• pp.37-44
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• 2012

In this paper, we investigate several factors that affect the locational decision of discount stores by using previous studies on the marketing area and the location of commercial facilities. We selected 21 primary variables that are expected to influence the decision of store location and, by factor analysis, grouped them into five underlying factors. Among these, the demographic factor, which shows the potential purchasing power level, had the greatest impact on the locational decision for the store. However, we found individual stores positioned according to unique locational characteristics in addition to the demographic factor. It means that we have to additionally consider if the vicinity of the market is based on any physical properties. Many previous studies proposed four decision factors for store location: the economic factor, the demographic factor, the land utilization factor, and traffic factor. However, the fivefold factors-our distinctive contribution-are more concrete and persuasive according to Korean reality. We show that location preference is based on the following criteria: (1) the area is densely populated, (2) houses stand close together, (3) residents have a high income level, (4) road traffic is developed and easy to access, and (5) public transportation is well developed. The demographic factor has the greatest impact on the location of a discount store. The number of households has a greater relevance to the demographic factor than does the individual consumer. Second, discount stores relatively prefer places where houses are located close together because such places offer easy access to the market. Third, a place whose residents have a high income level will be preferred, with its large cars and excellent traffic conditions. Fourth, a location would be highly rated if the roads around commercial facilities are well developed and their accessibility is good. Finally, discount stores must be located close to bus stops because female consumers, including housewives-the most important customers-evaluate stores based on distance. In this research, the variable of consumer attitude and preference was excluded, and the location factors of discount stores were analyzed according to a microscopic view through physical spatial data. In the future, the opening of new discount stores based on the five factors indicated above will require a comparatively shorter time from the first project feasibility analysis. In addition, the result of our study can be applied to the field of public policy for constructing and attracting large-scale distribution facilities.

• Journal of the Economic Geographical Society of Korea
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• v.22 no.3
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• pp.351-365
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• 2019

This study aims to predict the changes in population distribution in Korea by considering spatio-temporal characteristics of major migration reasons. For the purpose, we analyze the spatio-temporal characteristics of each major migration reason(such as job, family, housing, and education) and estimate the transition probability, respectively. By appling Markov chain model processes with the ChapmanKolmogorov equation based on the transition probability, we predict the changes in the population distribution for the next six years. As the results, we found that there were differences of population changes by regions, while there were geographic movements into metropolitan areas and cities in general. The methodologies and the results presented in this study can be utilized for the provision of customized planning policies. In the long run, it can be used as a basis for planning and enforcing regionally tailored policies that strengthen inflow factors and improve outflow factors based on the trends of population inflow and outflow by region by movement factors as well as identify the patterns of population inflow and outflow in each region and predict future population volatility.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.823-835
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• 2021

Identification of factors influencing regional population is critical for establishing government's population policies as well as for improving residents' social, economic and cultural well-being in the region. In this study we analysed the data from 2019 Population Housing Survey in Korea to identify the factors affecting the population size in each of the three regions: Seoul, metropolitan cities, and provincial regions. We applied a Bayesian quantile regression to account for asymmetry and heteroscedasticity of data. The analysis results showed that the effects of factors vary greatly between the three regions of Seoul, metropolitan cities, and provincial regions as well as between sub regions within the same region. These results suggest that population-related variables have very heterogeneous characteristics from region to region and therefore it is important to establish customized population policies that suit regional characteristics rather than uniform population policies that apply to every region.

• Proceedings of the Population Association of Korea Conference
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• 2007.11a
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• pp.317-330
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• 2007

이 연구의 목적은 수도권 지역에서의 노인 이동이 어떠한 요인에 의하여 이루어지는가를 젊은층의 비교를 통해 부각시키는데 있다. 인구이동의 요인은 대부분 경제적인 측면에서의 분석이 이루어져 왔다. 하지만 과거와는 다르게 삶의 질이 높아지고 피만큼 환경에 대한 의식수준이 높아지게 되었고 따라서 이동을 하는 요인이 단순하게 생계를 위해서라기 보다는 더 나은 지역으로의 이동으로 점차 변화할 가능성이 높아지게 되었다. 이 연구는 수도권 노인을 대상으로 70개 시군구 데이터를 가지고 50세 이상의 순이 동량과 지역환경 변수를 가지고 분석을 하였다. 하지만 지역변수의 한계점인 개인의 계층과 가족구성과 같은 개인적인 데이터의 미흡으로 인하여 처음에 세웠던 가설과는 다른 방향으로 전개되었다. 즉 처음 세웠던 가설인 노인의 이동은 젊은 사람의 이동에 비해서 환경적 요소를 더욱 고려할 것이라는 가설과는 다르게 노인의 이동 요인이 경제적 상황에 의해 가장 많은 영향을 밟는다는 것으로 나타나게 되었다. 이 이유는 우리나라의 노인은 자녀와의 동거여부를 따로 분류하지 않았으며, 또한 사회경제적 요인을 고려하지 않았기 때문에 이러한 결과가 도출된 것이라고 결론을 맺고 있다.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.2
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• pp.291-299
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• 2013

The purpose of this study was to examine effects of socio-demographic, health, and delinquent behavior factors on internet addiction among the Korean youth. This study used the 2009 Korean Youth Health Risk Behavior On-line Survey data. It selected 73,238 cases of junior and senior high school students from the raw data and conducted a secondary data analysis. Frequency analysis, chi-square test and logistic regression analysis was conducted. Being male, living without parents, low economic status, poor academic record, poor subjective health status, poor subjective well-being, high level of stress, presence of depression and experience of drug use significantly increased likelihood of internet addiction. Findings may be used for developing strategies to deal with internet addiction among adolescents in Korea.