• Title/Summary/Keyword: Population Growth Rate

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From Miracle to Mediocrity? Explaining the Growth Slowdown of the Korean Economy

  • DUYONG KANG;SUNGKEUN PARK
    • KDI Journal of Economic Policy
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    • v.45 no.4
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    • pp.23-56
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    • 2023
  • To investigate the causes of Korea's growth slowdown over the past thirty years, we estimate the contributions of major developmental factors, including i) demographic factors (changes in population growth and workforce age due to the demographic transition), ii) quality-of-life-related choice factors (changes in working hours, education, and the female employment rate), iii) structural change, and iv) the effects of productivity catch-up. Our estimates show that these four groups of factors account for approximately 90 percent of the growth slowdown, with demographic factors contributing approximately 30 percent and the other three groups of factors each contributing about 20 percent. We also show that the same factors explain most of Korea's high growth in the 1980s. These results suggest that Korea's growth slowdown is basically a consequence of its successful economic development and that the high growth and subsequent slowdown can be regarded as a single process. In addition, given that the factors examined here exhibit similar patterns of change in the course of economic development of most countries, we think that our estimation results of the relationship between economic development and changes in economic growth trends could have more general implications that go beyond Korea's experience.

Predictive Growth Model of Native Isolated Listeria monocytogenes on raw pork as a Function of Temperature and Time (온도와 시간을 주요 변수로 한 냉장 돈육에서의 native isolated Listeria monocytogenes에 대한 성장예측모델)

  • Hong, Chong-Hae;Sim, Woo-Chang;Chun, Seok-Jo;Kim, Young-Su;Oh, Deog-Hwan;Ha, Sang-Do;Choi, Weon-Sang;Bahk, Gyung-Jin
    • Korean Journal of Food Science and Technology
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    • v.37 no.5
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    • pp.850-855
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    • 2005
  • Model was developed to predict the growth of Listeria monocytogenes in raw pork. Experiment condition for model development was full 5-by-7 factorial arrangements of temperature (0, 5, 10, 15, and $20^{\circ}C$) and time (0, 1, 2, 3, 18, 48, and 120 hr). Gompertz values A, C, B, and M, and growth kinetics, exponential growth rate (EGR), generation time (GT), lag phase duration (LPD), and maximum population density (MPD) were calculated based on growth increased data. GT and LPD values gradually decreased, whereas EGR value gradually increased with increasing temperature. Response surface analysis (RSA) was carried out using Gompertz B and M values, to formulate equation with temperature being main control factor. This equation was applied to Gompertz equation. Experimental and predictive values for GT, LPD, and EGR, compared using the model, showed no significant differences (p<0.01). Proposed model could be used to predict growth of microorganisms for exposure assessment of MRA, thereby allowing more informed decision-making on potential regulatory actions of microorganisms in raw pork.

Long Run Relationship Between Population and Yield Revisited: An Analysis of Malthusian Regime (맬서스 국면에 의한 인구와 산출량의 장기적 관계 분석)

  • Rhee, Hyun-Jae
    • The Journal of the Korea Contents Association
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    • v.20 no.6
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    • pp.142-155
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    • 2020
  • This study re-evaluated Malthusian regime which signifies a negative relationship between population and income by employing the trend for the population and the income of the world and panel analysis during 1820-2006 periods. Empirical evidence suggested that Malthusian regime was existed during 1900-1994 periods in the world economy. Even each country had experienced such regime in its own economic growth path. However, the population drastically decreased and output upsurged since 1995, Malthusian regime had not been revealed any more since then. Such phenomenon is mainly resulted from the output is rather increased geometrically when the population is decreased because of a social reason such as decreasing in fertility rate. In addition to this, the population contributes to the production not by a quantity but a quality which is embodied by capital. Particularly, when the population which is associated with demand side is counted, the population is said to be evolved continuously in economy.

Investigation of Urban Sprawl and Interregional Interaction by Demographic and Commuting Data - The Case of Seoul Metropolitan Area - (인구 및 통근자 자료 분석을 통한 도시확산현상 및 지역 간 상호작용 검증 - 서울 대도시권을 중심으로 -)

  • Park, Jane;Choi, Nak-Hoon;Chang, Hoon
    • Journal of Korean Society for Geospatial Information Science
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    • v.14 no.2 s.36
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    • pp.77-88
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    • 2006
  • Overpopulation has been one of the most serious problem of the Seoul Metropolitan Area (SMA), which consists of the City of Seoul, Incheon, and the whole of Gyeonggi Province. People have been still moving into SMA, especially being concentrated into the fringe of Seoul. This study examines the inner city decline phenomenon of SMA which can be easily found in large cities over the world, based on the demographic data of these area. In addition, this study monitors the imbalance in growing of SMA by analyzing RMI (Rank Mobility Index), and the inverse relation between the self sufficiency of the adjacent area and the commuting rate to Seoul by analyzing commuting data. Even though the total population has been unchanged, the internal change of population was substantial. The growth of Seoul Metro region was placed near the city of Seoul, especially commuter data reassured the population concentrations. The results will be useful in urban planning and growth management.

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A Study on the Regional Distribution of Enrollment Cases Who Reported Humidifier Disinfectant-Related Health Effects (가습기살균제 노출로 인한 건강피해 신고자의 지역별 편차에 대한 고찰)

  • Ju, Min Jae;Yoon, Jeonggyo;Jo, Eun-Kyung;Lee, Seula;Oh, Jaehyun;Park, Jinhyeon;Yang, Wonho;Choi, Yoon-Hyeong
    • Journal of Environmental Health Sciences
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    • v.47 no.4
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    • pp.303-309
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    • 2021
  • Background: Humidifier disinfectant is a biocidal product used in the water tanks of humidifiers to prevent the growth of microorganisms. Although there are a huge number of cases of reported humidifier disinfectant-related health effects across the entire Korean population, their numbers are distributed differently depending on the region. Objectives: This study aimed to investigate the regional distribution of enrollment cases who reported humidifier disinfectant-related health effects. Methods: This study used data on 6,240 subjects who experienced humidifier disinfectant-related health effects and who enrolled their cases which is conducted by the Korea Ministry of Environment. We examined the regional distribution of the enrolled cases based on sixteen administrative divisions and assessed the: 1) crude number; 2) proportional rate; and 3) age-standardized proportional rate of enrollment by region. Results: When we examined the crude number of enrollments by region, the highest number were in Gyeonggi-do Province (n=1,896), followed in order by Seoul (n=1,405), Incheon (n=436) Busan, Daegu, Gyeongsangnam-do Province, Daejeon, Chungcheongnam-do Province, Gyeongsangbuk-do Province, Jeollabuk-do Province, Gwangju, Chungcheongbuk-do Province, Gangwon-do Province, Jeollanam-do Province, Ulsan, and Jeju-do. When we examined proportional rate of the regional enrollment (cases per 100,000 population), Daejeon (n=16.2) was the region with the highest rate, followed in order by Gyeonggi-do Province (n=16.1), Incheon-do Province (n=15.9), Seoul, Daegu, Gwangju, Jeollabuk-do Province, Chungcheongnam-do Province, Busan, Chungcheongbuk-do Province, Gangwon-do Province, Gyeongsanbuk-do Province, Gyeongsangnam-do Province, Ulsan, Jeju-do, and Jeollanam-do Province, which is inconsistent with the order in terms of crude numbers. However, when we examined the age-standardized proportional rate of regional enrollment (cases per 100,000 population), their ranked distribution is consistent with the crude rate. Conclusions: This study observed that the regional distribution of the enrolled cases who reported humidifier disinfectant-related health effects is inconsistent with the regional distribution of the proportional rate of enrollment cases, which may be caused in part by the volume of the inherent population of each region.

Development and Validation of Predictive Model for Salmonella Growth in Unpasteurized Liquid Eggs

  • Kim, Young-Jo;Moon, Hye-Jin;Lee, Soo-Kyoung;Song, Bo-Ra;Lim, Jong-Soo;Heo, Eun-Jeong;Park, Hyun-Jung;Wee, Sung-Hwan;Moon, Jin-San
    • Food Science of Animal Resources
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    • v.38 no.3
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    • pp.442-450
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    • 2018
  • Liquid egg products can be contaminated with Salmonella spp. during processing. A predictive model for the growth of Salmonella spp. in unpasteurized liquid eggs was developed and validated. Liquid whole egg, liquid yolk, and liquid egg white samples were prepared and inoculated with Salmonella mixture (approximately 3 Log CFU/mL) containing five serovars (S. Bareilly, S. Richmond, S. Typhimurium monophasic, S. Enteritidis, and S. Gallinarum). Salmonella growth data at isothermal temperatures (5, 10, 15, 20, 25, 30, 35, and $40^{\circ}C$) was collected by 960 h. The population of Salmonella in liquid whole egg and egg yolk increased at above $10^{\circ}C$, while Salmonella in egg white did not proliferate at all temperature. These results demonstrate that there is a difference in the growth of Salmonella depending on the types of liquid eggs (egg yolk, egg white, liquid whole egg) and storage temperature. To fit the growth data of Salmonella in liquid whole egg and egg yolk, Baranyi model was used as the primary model and the maximum growth rate and lag phase duration for each temperature were determined. A secondary model was developed with maximum growth rate as a function of temperature. The model performance measures, bias factor ($B_f$, 0.96-0.99) and $r^2$ (0.96-0.99) indicated good fit for both primary and secondary models. In conclusion, it is thought that the growth model can be used usefully to predict Salmonella spp. growth in various types of unpasteurized liquid eggs when those are exposed to various temperature and time conditions during the processing.

Stochastic projection on international migration using Coherent functional data model (일관성 함수적 자료모형을 활용한 국제인구이동의 확률적 예측)

  • Kim, Soon-Young;Oh, Jinho
    • The Korean Journal of Applied Statistics
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    • v.32 no.4
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    • pp.517-541
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    • 2019
  • According to the OECD (2015) and UN (2017), Korea was classified as an immigration country. The designation as an immigration country means that net migration will remain positive and international migration is likely to affect population growth. KOSTAT (2011) used a model with more than 15 parameters to divide sexes, immigration and emigration based on the Wilson (2010) model, which takes into account population migration factors. Five years later, we assume the average of domestic net migration rate for the last five years and foreign government policy likely quota. However, both of these results were conservative estimates of international migration and provide different results than those used by the OECD and UN to classify an immigration country. In this paper, we proposed a stochastic projection on international migration using nonparametric model (FDM by Hyndman and Ullah (2007) and Coherent FDM by Hyndman et al. (2013)) that uses a functional data model for the international migration data of Korea from 2000-2017, noting the international migration such as immigration, emigration and net migration is non-linear and not linear. According to the result, immigration rate will be 1.098(male), 1.026(female) in 2018 and 1.228(male), 1.152(female) in 2025 per 1000 population, and the emigration rate will be 0.907(male), 0.879(female) in 2018 and 0.987(male), 0.959(female) in 2025 per 1000 population. Thus the net migration is expected to increase to 0.191(male), 0.148(female) in 2018 and 0.241(male), 0.192(female) in 2025 per 1000 population.

Mortality and Growth of the Soft Coral, Dendronephthya gigantea in Jejudo Island, Korea (제주도에 서식하는 연산호 일종, 큰수지맨드라미의 사망률과 성장 패턴)

  • Choi, Yong-Woo;Kim, Jeong-Ha
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.13 no.4
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    • pp.342-347
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    • 2008
  • Mortality and growth rate of the soft coral, Dendronephthya gigantea, from Jejudo Island on the southern coast of Korea were investigated from February 2003 to October 2004 using SCUBA diving. 48 individuals with variable sizes of D. gigantea of the depth of 15m were tagged with flagging tapes and plastic films, and then monitored with two month intervals. The average mortality of two-month term for the study period was 50.4%, with the peak of 84.6% during the summer storms in August - October 2003. About the size class mortality, individuals of size class I(${\leq}$10 cm) showed the highest mortality, followed by size class III(>20 cm) and size class II(10 cm-20 cm). Growth rate did not show a seasonal pattern. For growth in length, individuals of D. gigantea grew about 3cm in average for two-month period, with a maximum growth of 6.4 cm which occurred in August - October 2003. For growth in diameter, individuals grew about 0.3 cm for 2 month term, with a maximum of 1.4cm in April - June 2004. Individuals of size class I usually grew faster than those of larger size classes. D. gigantea population in Jejudo Island was strongly affected by summer storms, which was due to annual event of summer typhoon. Never the less, it appears that the local population can be maintained by fast growth of the juvenile stage and active recruitment to compensate the high mortality caused by the summer disturbance.

Monitoring on the Vegetation Structure and Dynamics of Abies Koreana Populations in Jirisan National Park (지리산국립공원 구상나무개체군의 식생구조와 동태 모니터링)

  • Chun, Young-Moon;Kim, Sang-Min;Park, Eun-Hee;Park, Sun-Hong;Lee, Ho-Young;Kim, Jin-Weon
    • Korean Journal of Environment and Ecology
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    • v.35 no.4
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    • pp.408-423
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    • 2021
  • We established and monitored survey sites in seven regions of Mt. Jiri to investigate population decline and change of the Korean fir (Abies koreana) over a ten-year period from 2009 to 2018. With the exception of one site (Seseok), the six remaining ones all showed a four-layer stratification structure. The importance value of Korean firs in all of the survey areas decreased significantly by 28.5%, from 55.7% in 2009 to 39.8% in 2018. The average population of objects with a diameter at breast height (DBH) of 5cm or more in all survey sites was 711 objects/ha in 2018, and the cumulative death rate from 2009 to 2018 was 10.8%. Among the death types, DS (dead standing) was the most dominant, comprising 82.4% of the total survey area. However, in Banyabong 1, which had a high gradient of 35°, the death types other than DS accounted for 44.2%. We estimate that A. koreana can maintain a stable population as its distribution type for each diameter class in the Saeseokpyeongjeon site showed a reverse-J shape. The average annual ring growth in all survey sites was 1.09 mm/year, with the most abundant growth observed in the Seseokpyeongjeon site, which was formed mainly by a subtree layer. The growth ring survey showed the estimated average age of A. koreana population in the Byeoksoryeong and Banyabong 1 sites to be 102 and 91 years, respectively, a general downward trend of vitality since 2013.

An Analysis of Housing Demand in Shrinking Cities (수정 M-W모형을 이용한 축소도시(Shrinking City)의 주택수요분석)

  • Lim, Mi Hwa;Lee, Chang Moo
    • Korea Real Estate Review
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    • v.24 no.1
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    • pp.27-37
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    • 2014
  • Recently increasing the supply of housing policy has not been able to reflect social phenomena as like decreasing birth rate, aging of the population and increasing 1 or 2 person households. This study analyze the housing demand in the city with the point of population growth rate and economic character changes. Growing cities have positive population growth rate and economic character, but shrinking cities have the opposite. By comparing housing demand of growing cities and shrinking cities, we want to find out housing policy implications. In this study, results suggest that the peak age of housing demand of shrinking cities is the late 60's. But the growing cities's age peak is the mid-80's. But further analysis of the economic variables and 1 or 2 person old and young household dummies, the result is that the peak age of housing demand is reduced. These results suggest that housing demand should be differentiated the cities's population structure and economic characteristics of the household. In short, housing demand will vary depending on the condition of individual cities.