• Korea journal of population studies
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• v.9 no.1
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• pp.32-40
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• 1986

The purpose of the paper is to examine the nature of population distribution during the past 25 years; to evaluate effect of population redistribution policies which have been adopted by the government; and to suggest desirable future policy directions. The distinctive features of population distribution during the period of 196O~85 can be summarized as progress of rapid urbanization, decrease of absolute number of rural population and heavy concentration of population in the Seoul metropolitan area which have resulted in population maldistribution among regions. The problem of population concentration in the selected one or two large urban centers was first recognized by the government as early as in 1964. Since then numerous policy measures have been adopted to reduce the population concentration into the Seoul metropolitan area and thus to guide a sound population redistribution among regions. The overall assessment of various policies on population redistribution, however, revealed that the effect of the policy efforts has not been great as they originally anticipated. Various reasons can be cited for the failure of the past policies. Among them the followings were frequently mentioned; lack of integration among policy measures; weak linkage between relocation and accommodation; and non-existence of single authority for overall implementation of the polices. Based on the past experiences the followings are suggested in pursuing future policies. First, the short-term objective or target should be clearly defined. Second, policy measures have to be designed to go with rather than against market forces. Third, indirect incentives or aids are more effective than direct controls or regulations. Fourth, local participation has to be secured in every phase of policy formulation and implementation.

• Korean System Dynamics Review
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• v.12 no.2
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• pp.127-151
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• 2011

The purpose of this study is to examine measures to improve government's supply oriented housing policy in population declining cities. For this purpose, system dynamics simulation method was used to build urban-housing model and different sets of housing policies were tested to see their impact on local housing problems. Simulation result shows that there is no best set of housing policies that can solve all housing problems in population declining cities. It also indicates that housing policy that solve one type of problems can worsen other type of problems. Housing policy that increases population size has negative effect of housing oversupply. It also increases proportion of old houses in population declining cities. However, housing policy that makes city younger with newer houses tends to increase housing shortage and housing price. So, policy choice needs to be made with clear understanding of trade off between different policies. The result also shows it is difficult to expect a full scale effect of housing policy on local housing problems unless it is executed with regional economic development policy because local housing problems are so closely related with local economic problem in population declining local cities.

• Korea journal of population studies
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• v.8 no.2
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• pp.68-78
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• 1985

It is well recognized that, in most developing countries, rapid population growth has been a serious problem. And there is a growing tendency to regard the problem as a political issue in these coun-tries. So far, many developing countries have formulated and implemented population policies aiming at an reduction of such population growth. This study attempts, in policy perspective, to examine theoretically the process and determinants of population policy making and implementation in those developing countries. In doing this, it gives emphasis on explaining population policy determinants and therefore, deals with (1) decision makers' perceptions and attitudes, (2) governmental structure and capability, (3) mass fertiliry behavior, and (4) foreign aid agencies' role.

• Korea journal of population studies
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• v.5 no.1
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• pp.4-16
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• 1982

The Korean Population Control Program has been implementing under the jurisdiction of the Ministry of Health and Social Affairs through an existing network of health centers. This arrangement was successful in bringing population growth down to targeted level by the end of the Fourth Five Year Economic Planning, 1981. It is expected, however, that future goal will be harder to reach due to difficulty of reducing traditional family size norms further and to the projected increasing the number of eligible couples as the past Korean war baby boom generation enters the reproductive activity in the next few years. The recognition of the need for modification of population policy is increasing. The 1980 census shows that the total number of population reached approximately 38.5 million with 1.57 per cent of the growth rate. It was projected that the size of Korean Population will reach around 42 million and 51 million in 1986 and 2000 respectively. Furthermore, there is some argument as to whether decline in the birth rate in Korea is too slow to meet government target. Hence, a new development of population policy and greatly increased amount of effort will be needed in order to achieve Zero Population Growth Rate before the year 2050. The development of future national population policy and its related area are recommended as follow: 1. It is highly recommended that the population planning law governing both vital events of birth and death and population migration should be legislated. 2. The National Population Policy Council, Chaired by Deputy Prime Minister should be activated to implement and coordinate population program within ministries. 3. Responsible organization of population and family planning program should be established as a Bureau unit at central government level. 4. For the improvement of national vital registration, an existing system should be studied and developed.

• Korean Journal of Childcare and Education
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• v.20 no.2
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• pp.169-194
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• 2024

Objective: The purpose of this study is to develop a child-care support policy strategy in response to the decrease in the population of children aged 0-5 years. This will be achieved by collecting opinions from a panel of experts on child-care support policies through a Delphi survey. Methods: To achieve the purpose of this study, a panel of 20 experts in child-care policy was selected, and a Delphi survey was conducted over three sessions. Data collected through the Delphi survey underwent analysis, including frequency analysis, descriptive statistics, content validity ratio, coefficient of variation, agreement, and convergence. Data processing was carried out using Excel 2016 and SPSS 26.0. Results: As a result of the study, a child-care support policy strategy addressing the decrease in the population of children aged 0-5 years was developed, comprising three policy areas, nine policy tasks, and 38 detailed policy tasks. Conclusion/Implications: Based on these results, it is anticipated that the study will not only enable the preparation of a strategy for child-care support policy to address the decrease in the population of children aged 0-5 years but also offer significant implications for shaping the direction of child-care support policy in alignment with the common good.

• Land and Housing Review
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• v.14 no.2
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• pp.73-82
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• 2023

This study empirically analyzes the policy demand for population inflow in Hongcheon-gun, a region that has experienced population decline over the past decade. The results of this study based on the multinominal logit model provide the policy implications as follows. First, due to the differing factors influencing the demand for population inflow policies among the young and the elderly, local governments should clearly define the policy targets for population inflow. Second, in the context of policy demand for population inflow through corporate attraction, we identify statistically significant and positive effects of the length of residence for both young and old people, and the level of formal education for the elderly. These results emphasize the importance of formulating population inflow policies distinctively targeted for the young and the elderly generations, respectively, thereby increasing population inflow in the population reduction area.

• Journal of Applied Reliability
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• v.15 no.3
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• pp.192-196
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• 2015

It is important to obtain the information of population center for establishing the balanced development policy of a nation. In this note, the population center of Korea is obtained using 2010 Census data and compared with the past population centers. The weighted average method is used for calculating the population center. The results of this note will be able to contribute in the regional population distribution policies.

• Journal of the Korean Regional Science Association
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• v.9 no.1
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• pp.45-63
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• 1993

University enrollment has long been regarded as one of the major factors inducing population concentration in Seoul and the Capital Region of Korea. Consequently, since early 1980's increases in enrollment and new establishments of extention universities beyond the boundary of Seoul, has been promoted, while university enrollment quota in Seoul has been strictly controlled. The degree of actual population dispersal, however, resulting from such a university enrollment policy has not been empirically tested. This paper aims at: First, identifying the trend of population growth and evolution process of the university enrollment policy in the Capital Region; Second, comparing the degree of influence of university enrollment on population concetration factors; Third, measuring actual effect of the enrollment control on population dispersal out of Seoul and the Capital Region. Major findings are as follows: First, only a week correlation between population and university enrollment growth trends was found; Second, the relative degree of influence on population concentration in the Capital Region, were order, in the order of magnitude, the physical amenity factor, the socio-cultural amenity factor, the employment climate factor and the educational factor. Third, and most improtant, based on the comparison of spatial distribution of graduated high schools and current residence of the selected university students, the gap between the two distributions was revealed and the inter-regional student population movement was estimated. The result shows that in Seoul's case about one-half of and in Kyunggi Province's case about one-fifth of university enrollment size, contributes to population concentration into Seoul. Fourth, as to the universities outside of the Capital Region, little effect in the case of universities located within the commuting distance, and a little effect on population dispersal in the case of universities located beyond commuting distance, were found. In sum, it seems clear that university enrollment policy in the Capital Region, especially in Inchon/Kyunggi Province has not been effective on student population dispersal out of Seoul and the Capital Region. Therefore, it is strongly recommended that university enrollment policy be throughly re-examined from its goal to the implementation means.

• Journal of the Korean Society of Safety
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• v.33 no.4
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• pp.98-104
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• 2018

Macroscopic accident analyses have been conducted to incorporate transportation safety into long-term transportation planning. In macro-level accident prediction model, exposure variable(e.g. a settled population) have been used as fundamental explanatory variable under the concept that each trip will be subjected to a probable risk of accident. However, a settled population may be embedded error by exclusion of active population concept. The objective of this research study is to develop macro-level accident prediction model using floating population variable(concept of including a settled population and active population) collected from mobile phone data. The concept of accident prediction models is introduced utilizing exposure variable as explanatory variable in a generalized linear regression with assumption of a negative binomial error structure. The goodness of fit of model using floating population variable is compared with that of the each models using population and the number of household variables. Also, log transformation models are additionally developed to improve the goodness of fit. The results show that the log transformation model using floating population variable is useful for capturing the relationships between accident and exposure variable and generally perform better than the models using other existing exposure variables. The developed model using floating population variable can be used to guide transportation safety policy decision makers to allocate resources more efficiently for the regions(or zones) with higher risk and improve urban transportation safety in transportation planning step.

• Journal of Korean Medical Science
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• v.33 no.47
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• pp.302.1-303.10
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• 2018

Background: A considerable amount of research has shown that knowledge and appropriate awareness are essential for encouraging positive behaviors and promoting health. In Korea, the roles that behavioral changes play in the prevention of cancer have been an important issue since the introduction of the 10 codes for cancer prevention in 2006. Thus, the present study investigated the associations of tobacco-related knowledge with awareness and attitudes towards positive smoking-cessation behaviors. Methods: The present study analyzed data from the 2010 national questionnaire survey (n = 1,006). This study evaluated sociodemographic characteristics, smoking status, self-rated health status, health-related interests, and the accuracy of 12 tobacco-related statements to determine knowledge level and to investigate its impact on awareness and behaviors related to smoking. These parameters were examined and staged using the Precaution Adoption Process Model. Results: A higher level of tobacco-related knowledge was significantly associated with a positive attitude towards smoking cessation (5-8 correct answers: odds ratio [OR], 2.53; 95% confidence interval [CI], 1.57-4.08; ${\geq}9$ correct answers: OR, 3.90; 95% CI, 2.22-6.82; reference: ${\leq}4$ correct answers). Interestingly, among current smokers, only those who correctly responded to ${\geq}9$ of 12 tobacco-related statements were significantly associated with a positive attitude towards smoking cessation. Conclusion: This study found that having a higher level of tobacco-related knowledge had a significant impact on positive attitudes towards smoking cessation. This suggests that there is a need to disseminate appropriate knowledge to the general population to encourage positive attitudes and promote healthful behaviors in terms of smoking.