• Title/Summary/Keyword: low fertility society

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A Primary Study on Preference of Fertility Policies Based on Perspectives of the Marriage and Having a Child (미혼남녀의 결혼관과 출산 및 자녀관에 따른 출산정책 선호도 분석)

  • Chang Jin-Kyung
    • Journal of the Korean Home Economics Association
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    • v.43 no.11 s.213
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    • pp.165-183
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    • 2005
  • Total fertility rate in South Korea is the lowest in the world. A fertility rate below replacement fertility level will result in serious social problems in the long term. Therefore, it is worthwhile to study a general understanding about the low fertility rate phenomenon and to investigate the effectiveness of fertility policies in order to ameliorate the resulting social problems due to the low fertility rate. This research was a descriptive examination into the low fertility rate phenomenon and an investigation of the needs for fertility potties and their effectiveness. The study subjects were consisted of 769 unmarried people aged from 18 to 40 years old. Data were collected from June to August 2004 and were analyzed by frequencies, mean, and standard deviation. The following results were revealed. First, unmarried people in general had positive perspectives about getting marriaged, giving birth, and being a parent. In addition, the primary cause of low fertility rate was economical difficulties for raising a child. Third, unmarried people thought that the low fertility rate phenomenon resoled in both positive and negative changes in a society. Fourth, policies for economical supports for raising children, establishing social atmosphere for gender equality, and trustful public educational systems were the political alternatives that people really wanted for having a child in the future. Effective alternatives for policies and strategies to address the low fertility rate problems are suggested in the discussion section.

Background and Oral Health Implication of the 3rd Basic Plan for Low Fertility and Population Ageing (제3차 저출산·고령사회 기본계획 수립 배경과 구강보건의 의의)

  • Han, Dong Hun
    • The Journal of the Korean dental association
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    • v.54 no.6
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    • pp.468-474
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    • 2016
  • Korean government enacted the 1st Basic Plan for Low Fertility and Population Ageing in 2005 due to the long-lasting ultra-low birth rate. Based on the Act, Korean government set up a step-by-step strategic goal and establish a basic plan, every five years, to achieve the sustainable development of society corresponding to low fertility and aging society. Over the past decade, the 1st Basic Plan for Low Fertility and Population Ageing (2006-2010) and the 2nd Basic Plan for Low Fertility and Population Ageing (2011-2015) was executed. This year, based on the achievements and limitations of the 1st and 2nd Basic Plan, the 3rd Basic Plan for Low Fertility and Population Ageing begins. In this manuscript, I discuss the background of the 3rd Basic Plan and its significance in oral health area.

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A Regressional Study on the Relation between Marriage Variables and Fertility (결혼관련 요인의 출산력에 미치는 영향 연구)

  • 김성혜;김초강
    • Korean Journal of Health Education and Promotion
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    • v.8 no.1
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    • pp.87-97
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    • 1991
  • The purpose of this study is to identify the important marriage variables influencing fertilty. The data on which this study is based was selected from the survey data which was nation-widely collected from 2,824 married women in 1989 as the Korean. Family Function Study performed by the Korea Institute for Population and Health. The data was analyzed by the methods such as Cross Tabulation, Pearson's Correlation, and Multiple Regression. And the data analysis was processed by SPSS. The results are as follows. 1. There are differences in fertility according to the socioeconomic factor. The higher the educational level of a married woman is the lower the fertility level. And if the decision of marriage was made by herself, the fertility level is significantly low. As the duration of living in a large city is longer and the educational level of her husband is higher, the fertility level is low. 2. There are differences is fertility according to the demographic factor. As the first marriage age of her and her husband, the fertility level was low. And when a couple doesn't live with the husband's parents and the size of a family is small, the fertility level is low. 3. Finally the factors affecting fertility were analyzed by the Stepwised Multiple Regression. The result shows that as the educational level of a married woman is higher, she herself decides the marriage, the first marriage level of her is higher, the size of a family is small, her husband is higher, the fertility level is low.

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Education and Application for low Fertility.Aged Society in Home Economics Education (가정교과에서의 저출산.고령사회를 위한 교육과 실천 사례)

  • Jun, Mi-Kyung;Oh, Kyung-Seon
    • Journal of Korean Home Economics Education Association
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    • v.22 no.3
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    • pp.95-116
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    • 2010
  • The purpose of this study is to explore the role of Home Economics Education for low fertility Aged Society. Hence home economics educational contents for low fertility Aged Society was estsblished extracting the contents from both Revised 2007 Home Economics Curriculum and government. policy for low fertility Aged Society. Also home economics educational contents for low fertility Aged Society("Home Economics Class for both parents and Children") implemented in Healthy Family Support Center. The main results of the study are as follows. Firstly, Home Economics Education for low fertility Aged Society should be emphasized with the contents such as marriage of one's choice, family life reinforcement, healthy family culture and neighborhood living together. Secondly, the goal of home economics education is very similar to the action plans of Saeromaji Project 2010 which are 'social responsibility reinforcement for marriage, birth and child rearing', 'balancing family and work', 'family-friendly culture' and 'security for the aged with health and care'. It has also much in common with the project plans by Seoul Metropolitan Office of Education 'family-friendly culture and filial duty education reinforcement', 'school education reinforcement regarding Low Fertility-Aged Society' and 'values education reinforcement for gender equality society'. Thirdly, "Home Economics Class for both parents and Children" applied in Healthy Family Support Center in Jung-gu, Seoul. This ensures home economic education can play a leading role in the social education filed.

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A Qualitative Research on the Improvement of Government Public Relations in the Low Fertility Society (저출산 정부홍보 개선방안을 위한 질적 연구)

  • Han, Sangpil
    • Journal of the Korea Convergence Society
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    • v.13 no.5
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    • pp.137-143
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    • 2022
  • The purpose of this study is to propose an effective PR plan for government policies in order to make the people aware of the importance of the fertility rate by seeking strategies to counter the low fertility rate. Focus group interviews were conducted with 6 experts with high expertise in government policy advertising and public relations among advertising and public relations academics and practitioners. It was found that low fertility PR strategy raised the problems of integrated public relations and budgeting. PR message strategy was lacked a creative approach suitable for the target, and the media strategy did not reflect the characteristics of the younger generation. Based on these research results, an improvement plan for government PR to counter the low fertility was proposed, and it is expected that it will be used for policy making in the future.

The effects of population education on the recognition of low fertility and aged society (인구교육이 저출산·고령 사회에 대한 인식 변화에 미치는 영향)

  • Wang, SeokSoon;Lim, YangMi
    • Journal of Korean Home Economics Education Association
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    • v.26 no.4
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    • pp.147-164
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    • 2014
  • This study aimed to explore the effects of population education on university male female students' recognition of population education and low fertility and aged society. The subjects were 71 university students(male: 36, female: 35) participating in population education program. The data were analyzed with descriptive statistics, paired t test and two-way ANOVA with repeated measures. The main results of this study were as follows. Firstly, population education led to positive changes in university students' recognition of population education and of low fertility and aged society. Specifically, after taking the population education courses, students' levels of knowledge on population education contents and on foreign domestic policies related to low fertility and aged society increased. Secondly, there were students' sex differences in the effect of population education on recognition of population education and low fertility and aged society. For only female students, there were significantly positive changes in realization of the seriousness of low fertility and aged society, in recognition of importance of population education, work-family reconciliation and child-care centers to solve the issues of low fertility and aged societies, in knowledge levels of foreign domestic policies related to low fertility and aged society, and in awareness of family of small members(ex. single families). Finally, based on the results, the roles of Home Economics Education were suggested in population education.

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Scenario Analysis of Fertility in Korea using the Fertility Rate Prediction Model (출산율 예측모형을 이용한 한국의 출산력 시나리오 분석)

  • Kim, Keewhan;Jeon, Saebom
    • The Korean Journal of Applied Statistics
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    • v.28 no.4
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    • pp.685-701
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    • 2015
  • The low fertility rate and the unprecedented rapid pace of population aging is a significant factor degrading the national competitiveness and the social security system of Korea. The government has implemented various maternity incentives to alleviate the low birth problem; however, the policy seems in effective to solve the problem of low fertility. This study proposes a conditional birth-order specific fertility rate and investigates the policy effects of fertility transition in Korea to provide a basis for more effective policy development. The use of a conditional birth-order specific fertility rate allows for an effective calculation of the change and the effect in total fertility rate than a birth-order specific fertility rate. We compare the effects of the total fertility rate according to various scenarios that enables us to calculate how the total fertility rate can achieve the current multi-child childbirth support policy of the government and estimate how the total fertility rate can be achieved when focusing on the first or second childbirth support policy. We also summarize the research results on policy development for a practical increase in the childbirth that considers the rapid decrease in women of childbearing age (15-49 years) due to continued low fertility and present the number of childbirths in accordance with the total fertility rate.

The Second Demographic Transition in Industrialized Countries (산업국가에서의 제2차 인구변천)

  • Chung, Sung-Ho
    • Korea journal of population studies
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    • v.32 no.1
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    • pp.139-164
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    • 2009
  • The first demographic transition refers to the historical decline in mortality and fertility, as shown from the 18th Century in several European populations, and continuing present in most developing countries. The end point of the first demographic transition(FDT) was supposed to be a stationary and stable population corresponding with replacement fertility and zero population growth. In addition, households in all parts of the world would converge toward the nuclear and conjugal types, composed of married couples and their offspring. The second demographic transition(SDT), on the other hand, sees no such equilibrium as the end-point. Rather, new developments bring sub-replacement fertility, a multitude of living arrangements other than marriage, and the disconnection between marriage and procreation. Populations would face declining sizes if not complemented by new migrants. Over the last decades birth rates have been on the decline in all countries of the world, and it is estimated that already more than half of he world's population has below replacement level fertility. Measured in terms of the Total Fertility Rate (TFR), currently 34 countries have fertility levels of 1.5 or less. Similarly, Korea has been below lowest-low fertility for eight consecutive years since 2001 and below the replacement level for more than twenty years. In explaining the low fertility in Korea, some researchers explain the low fertility as revenge against a male-dominated society and institution, while others focus the impact of the employment instability. These studies share the basic ideas (spread of individualism, delayed marriage and childbearing, high divorce rate etc.) of a second demographic transition in order to explain the low fertility in Korea.

Analysis of Regional Fertility Gap Factors Using Explainable Artificial Intelligence (설명 가능한 인공지능을 이용한 지역별 출산율 차이 요인 분석)

  • Dongwoo Lee;Mi Kyung Kim;Jungyoon Yoon;Dongwon Ryu;Jae Wook Song
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.47 no.1
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    • pp.41-50
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    • 2024
  • Korea is facing a significant problem with historically low fertility rates, which is becoming a major social issue affecting the economy, labor force, and national security. This study analyzes the factors contributing to the regional gap in fertility rates and derives policy implications. The government and local authorities are implementing a range of policies to address the issue of low fertility. To establish an effective strategy, it is essential to identify the primary factors that contribute to regional disparities. This study identifies these factors and explores policy implications through machine learning and explainable artificial intelligence. The study also examines the influence of media and public opinion on childbirth in Korea by incorporating news and online community sentiment, as well as sentiment fear indices, as independent variables. To establish the relationship between regional fertility rates and factors, the study employs four machine learning models: multiple linear regression, XGBoost, Random Forest, and Support Vector Regression. Support Vector Regression, XGBoost, and Random Forest significantly outperform linear regression, highlighting the importance of machine learning models in explaining non-linear relationships with numerous variables. A factor analysis using SHAP is then conducted. The unemployment rate, Regional Gross Domestic Product per Capita, Women's Participation in Economic Activities, Number of Crimes Committed, Average Age of First Marriage, and Private Education Expenses significantly impact regional fertility rates. However, the degree of impact of the factors affecting fertility may vary by region, suggesting the need for policies tailored to the characteristics of each region, not just an overall ranking of factors.

A comparison and prediction of total fertility rate using parametric, non-parametric, and Bayesian model (모수, 비모수, 베이지안 출산율 모형을 활용한 합계출산율 예측과 비교)

  • Oh, Jinho
    • The Korean Journal of Applied Statistics
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    • v.31 no.6
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    • pp.677-692
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    • 2018
  • The total fertility rate of Korea was 1.05 in 2017, showing a return to the 1.08 level in the year 2005. 1.05 is a very low fertility level that is far from replacement level fertility or safety zone 1.5. The number may indicate a low fertility trap. It is therefore important to predict fertility than at any other time. In the meantime, we have predicted the age-specific fertility rate and total fertility rate by various statistical methods. When the data trend is disconnected or fluctuating, it applied a nonparametric method applying the smoothness and weight. In addition, the Bayesian method of using the pre-distribution of fertility rates in advanced countries with reference to the three-stage transition phenomenon have been applied. This paper examines which method is reasonable in terms of precision and feasibility by applying estimation, forecasting, and comparing the results of the recent variability of the Korean fertility rate with parametric, non-parametric and Bayesian methods. The results of the analysis showed that the total fertility rate was in the order of KOSTAT's total fertility rate, Bayesian, parametric and non-parametric method outcomes. Given the level of TFR 1.05 in 2017, the predicted total fertility rate derived from the parametric and nonparametric models is most reasonable. In addition, if a fertility rate data is highly complete and a quality is good, the parametric model approach is superior to other methods in terms of parameter estimation, calculation efficiency and goodness-of-fit.