• Title/Summary/Keyword: 장래인구추계

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H-P 기법을 이용한 기초자치단체의 장래인구추계

  • Lee, Sang-Rim;Jo, Yeong-Tae
    • Korea journal of population studies
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    • v.28 no.1
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    • pp.149-172
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    • 2005
  • 장래인구추계(population projection)는 한 사회의 인구수 및 구조 변화를 추정하는 것으로 사회의 잠재적 자원 수요와 노동력 공급을 위한 기초정보를 제공한다. 정확한 장래인구를 추계하는 것은 국가 및 중앙정부 뿐 아니라 지방정부 혹은 그보다 규모가 작은 기초자치단체도 미래의 사회적 변화에 대응하고 지역 특성에 알맞은 정책을 마련하기 위하여 중요한 일임에 틀림없다. 우리나라의 경우 장래인구추계는 통계청에서 담당하고 있는데 현재까지 국가 및 시도단위의 장래인구추계 결과를 발표하고 있으며 기초자치단체는 인구추계의 대상에서 제외되어 있다. 이 글은 Hamilton과 Perry에 의해서 최초 개발되어 실제 미국의 소규모지역별 장래인구추계에 사용되어 온 추계기법을 사용하여 한국의 기초자치단체에의 적용가능성에 대해 검토해 본 연구이다. 장래인구추계를 위한 H-P기법은 도시와 농촌지역의 기초자치단체에 각각 적용해 본 결과 통계청에서 주로 사용하고 있는 코호트 조성법을 이용한 추계기법보다 단순하고 추계를 위해 필요한 정보도 쉽게 얻을 수 있으면서도 비교적 정확한 추계결과를 제시하였다.

Current Status and Future Challenges of the National Population Projection in South Korea Concerning Super-Low Fertility Patterns (국제비교를 통해 바라본 한국의 장래인구추계 현황과 전망)

  • Jun, Kwang-Hee;Choi, Seul-Ki
    • Korea journal of population studies
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    • v.33 no.2
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    • pp.85-111
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    • 2010
  • South Korea has experienced a rapid fertility decline and notable mortality improvement. As the drop in TFR was quicker and greater in terms of tempo and magnitude, it cast a new challenge of population projection - how to improve the forecasting accuracy in the country with a super-low fertility pattern. This study begin with the current status of the national population projection as implemented by Statistics Korea by comparing the 2009 interim projection with the 2006 official national population projection. Secondly, this study compare the population projection system including projection agencies, projection horizons, projection intervals, the number of projection scenarios, and the number of assumptions on fertility, mortality and international migration among super-low fertility countries. Thirdly we illustrate a stochastic population projection for Korea by transforming the population rates into one parameter series. Finally we describe the future challenges of the national population projection, and propose the projection scenarios for the 2011 official population projection. To enhance the accuracy, we suggest that Statistics Korea should update population projections more frequently or distinguish them into short-term and long-term projections. Adding more than four projection scenarios including additional types of "low-variant"fertility could show a variety of future changes. We also expect Statistics Korea topay more attention to the determination of a base population that should include both national and non-national populations. Finally we hope that Statistics Korea will find a wise way to incorporate the ideas underlying the system of stochastic population projection as part of the official national population projection.

Comparative analysis of official demographics (공식인구통계들에 대한 비교 분석)

  • 김종태
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.1
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    • pp.99-108
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    • 2017
  • There are three official official demographics of the Republic of Korea: the population census, population projections, and resident population. Among these, the population projections estimates are based on population census statistics, which are conducted every five years. This study compared and analyzed the future population statistics and resident population statistics. In order to detect errors in the census process, we surveyed the outliers of demographic data. Based on these, we aimed to verify the reliability of official demographics. Resident registration demographics showed a tendency to increase as the age increased from 0 to 12 years, although the population had to decrease as the age increased. In the population projections, as the age increases from 18 to 28, a new population has developed and the population has increased. Also, in the resident population, between 2009 and 2010, in the population projections, between 2010 and 2011, there was a strange phenomenon that the population grew as a result of a new population as the age of all ages increased. Both official demographics need to be carried out through more accurate verification. Increasing the reliability of the aged population survey on the elderly population statistics will provide greater efficiency in establishing administrative policies.

인구추계 데이터의 이상점과 통계적 분석

  • Kim, Jong-Tae;Seo, Hyo-Min
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2009.05a
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    • pp.153-159
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    • 2009
  • The purpose of this paper is to suggest the problems of basic population data(1960-2005) and the data(2006-2050) of population projections reported by Korean National Statistical Office in November 2006. The errors on the basic population data can be easily checked by using the graphical analysis and the method of linear regression analysis. It is necessary to revise the population projections reported by Korean National Statistical Office.

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A Projection of Optimum Population Growth in Korea: Demographic Perspective (인구학적 관점에서 본 적정인구의 추계)

  • Jun, Kwang-Hee
    • Korea journal of population studies
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    • v.29 no.1
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    • pp.209-239
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    • 2006
  • 본 연구는 총부양비를 최소화하는 적정인구성장률을 인구학적 부양비와 경제적 부양비로 나누어 계산하구 그것이 무엇을 의미하가를 연구하는 것이 목적이다. 이 연구를 위하여 연구모형을 제시하고, 합계출산율과 적정인구성장률의 관계를 명시하며, 그것이 궁극적으로 적정인구 규모에 어떤 의미를 갖는가를 탐색한다. 인구학적 부양비를 최소화하는 인구성장률은 $-0.03%{\sim}0.15%$의 범위에 있으며, 그것은 합계 출산율로는 $2.1{\sim}2.2$명에 해당한다. 경제적 부양비를 최소화하는 인구성장률은 유년층과 노년층의 상대적 개인 소비비중에 따라 인구성장률과 그것이 함의하는 합계출산율은 달라진다. 예컨대, $u_1:u_3=2:1$일 때 적정인구성장률은 $-1.17{\sim}-0.93%$, 그것이 함의하는 합계출산율은 $1.5{\sim}1.6$명이다. 한편 유년층 대비 노년층의 상대적 소비비중이 증가하는 경우에는 적정인구성장율이 높아져야 한다. 예컨대 $u_1:u_2=1:1.2$일 때 적정인구성장률은 $0.42{\sim}0.45%$이고, 그것이 함의하는 합계출산율은 $2.3{\sim}2.4$명이다. 본 연구에서 적정인구추계를 위한 기초 여론조사에 따라 진행된 상대적 소비비중을 계산한 결과에 따르면, 유년층과 노년층의 상대적 개인 소비비중은 $u_1:u_2=1.25:1$이며, 이에 따른 현재의 상황에서 한국의 적정출산율은 $1.9{\sim}2.0$명 수준으로, 이에 해당하는 적정인구성장률은 대략 약간의 네거티브 성장을 하는 경우라고 할 수 있을 것이다.

The Ageing Society of Korea and the Population Estimate (우리나라의 고령화 현상과 베이비붐 세대의 인구추계)

  • Hwang, Myung-Jin;Jung, Seung-Hwan
    • Korea journal of population studies
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    • v.34 no.2
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    • pp.113-133
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    • 2011
  • The generation of babyboomers has a significant impact on the socio-economic development of the society in general. The Korean Babyboomers will soon leave from their workforce as they reach the retirement age. This, coupled with the low fertility rate, may cause a serious social problem in the society at large as well as the social welfare issues among the Korean elderly population. The Central Statistical Systems have estimated the future projection which plays critical role to establish fundamental basis for the social and economic policies of the nation. This study examined the effect of the babyboomers on the life expectancy by comparing forecasted life expectancies provided by the statistical office and the previous studies in the related areas. The study also suggested a future population projection based on fertility rates provided, along with the changes of the number of babyboomers as they become ageing. The study results with the comparison between the population projection by the statistical office are provided.

Development of Fertility Assumptions for the Future Population Projection (장래인구추계를 위한 출산력 가정치의 설정)

  • Jun, Kwang-Hee
    • Korea journal of population studies
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    • v.29 no.2
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    • pp.53-88
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    • 2006
  • The major aim of this paper is to develop a hypothetical set of age-specific fertility rates which are logically derived and reasonably accurate in the projection of future population. The first procedure is to select a generalized log-gamma distribution model, which includes Coale-McNeil nuptiality model, in order to estimate and project a set of age-specific fertility rates by birth cohort and birth order. The second is to apply the log-gamma model with an empirical adjustment to the actual data to estimate and project the future fertility rates for relatively young birth cohorts who did not complete their reproductive career. This study reconstructs or translates a set of cohort age-specific fertility rates into a set of period age-specific fertility rates which must be hypothesized in order to establish the broader framework of future population projection. For example, the fertility at age 20 in the year of 2020 is the fertility at age 20 for the cohort born in 1990, while the fertility at age 21 in the year of 2020 is the fertility at 21 for the cohort born in 1989. In turn, once a set of age-specific fertility rates for the cohorts who were born up to the year of 2010, it is possible for one to establish an hypothetical set of period age-specific fertility rates which will be needed to project the future population until the year of 2055. The difference in the hypothetical system of age-specific fertility rates between this study and the 2005 special population projection comes from the fact that the fertility estimation/projection model used in this study was skillfully exploited to reflect better actual trend of fertility decline caused by rise in marriage age and increasing proportion of those who remain single until their end of reproduction. In this regard, this paper argues that the set of age-specific fertility rates derived from this study is more logical and reasonably accurate than the set of those used for the 2005 special projection. In the population projection, however, the fundamental issue of the hypothetical setting of age-specific fertility rates in relation to the fertility estimation/projection model is about how skillfully one can handle the period effects. It is not easy for one to completely cope with the problem of period effects except for the a minor period adjustment based on recent actual data, along with the given framework of a cohort-based fertility estimation/projection model.

Mortality Forecasting for Population Projection (장래인구추계를 위한 사망률 예측)

  • Kim, Tai-Hun
    • Korea journal of population studies
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    • v.29 no.2
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    • pp.27-51
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    • 2006
  • In this paper, I have tested various kinds of methods for mortality projection and chose Lee-Carter method for projection of Korean mortality by age and sex. I reviewed the trends of life tables and life expectancies by age and sex from 2005 to 2050 projected by Lee-Carter method and found that the method was very applicable for Korean mortality projection. The differences between reported and estimated data for the period of 1971-2003 were small enough for both sexes and for all of the age groups. The projected life expectancies in 2051 were 82.73 years for males and 89.41 for females, and the differences decreased from 7.06 years in 2005 to 6.68 years. Because of the limitation of Korean infant mortality rate, I adopted the Japanese estimated IMR in 2050 as Korean object level in 2051. When the time series of IMR become long enough, we can use Korean IMR directly for the mortality projection. In addition, if we can estimate the changes of the main cause of death correctly in future, the mortality projection will be more correct and reliable. This will be available when we can produce a long series of life tables by cause of deaths.

Population Projections for Busan Using a Biregional Cohort-Component Method (이지역 코호트-요인법을 이용한 부산광역시 장래 인구 추계)

  • Cho, Dae-Heon;Lee, Sang-Il
    • Journal of the Korean Geographical Society
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    • v.46 no.2
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    • pp.212-232
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    • 2011
  • The main objective of this study is to establish a population projection method based on the biregional cohort-component method and to apply it to population projections for Busan. Some drawbacks of using the net migration cohort-component method in a regional or local level population projection are demonstrated. A biregional cohort-component method, a variant of the interregional cohort-component method, is established as an alternative where in-migration and out-migration are separately considered and then are combined to produce a projection for the migration component. Predicated on the established method, population projections for Busan are undertaken for the period of 2005~2030 under three different scenarios. Considerably different projection results are obtained between the net migration and biregional methods; among others, the trend of population decline is more severe in the former than in the latter. An investigation of the temporal trend of the projected population shows that the proposed method is highly reasonable. In conclusion, the proposed method based on the biregional cohort-component method seems not only to be theoretically more robust than the net migration cohort-component method but also to be very effective in the real world application.