• Journal of Korean Society of Rural Planning
• /
• v.14 no.3
• /
• pp.19-25
• /
• 2008

Settlement problems in rural area are gradually becoming more intense due to decreasing agricultural income led by market globalization. Rural tourism is considered as one of alternatives for complementing agricultural income. In this study, we analyzed the relation of rural development project and the influx of population on green tourism villages. Results show that the influx of population in rural area is related with project cost, tourism income, visiting numbers, and ratio of labor population. With these results, we modified rural population model for estimating future rural population. Adapted result to Buraemi village by modified model showed that estimation error can be decreased from 7.23% to 0.95%.

• Journal of Korean Society of Rural Planning
• /
• v.30 no.1
• /
• pp.33-42
• /
• 2024

The purpose of this study is to investigate the possible relationship between population migration and population inequality in rural areas. This study conducted a case study on the eup·myeon(rural)areas in Chungcheongbuk-do. First, the population migration was divided into four patterns, and the characteristics of population migration in rural areas were analyzed based on the net migration. The analysis results showed that there was serious migration between rural areas, and the population in rural areas mainly moved out to urban areas within the province, but the urban population outside the province moved out to rural areas. The main areas of population inflows included areas such as Deoksan-eup, Jincheon-gun, Osong-eup and Ochang-eup, Cheongju-si. Second, the Theil index was used to quantitatively analyze the level of population inequality between rural areas. The Theil index of the population aged 0~14 increased from 0.38 to 0.53, that of population aged 15-64 increased from 0.22 to 0.30, and that of population aged over 65 increased from 0.07 to 0.09, indicating an increase in population inequality. Finally, due to the continued large-scale inflows of population into Osong-eup and Ochang-eup, the Theil index of total population in Cheongju-si increased from 0.13 in 2009 to 0.23 in 2020, which meant that the level of population inequality had increased. Similarly, due to the continued large population inflows into Deoksan-eup, the Theil index of total population in Jincheon-gun increased from 0.14 in 2009 to 0.18 in 2020, which meant that the level of population inequality had increased. In conclusion, large-scale population inflows into specific areas will lead to an increase in the level of population inequality.

• Journal of Korean Society of Rural Planning
• /
• v.12 no.3 s.32
• /
• pp.39-42
• /
• 2006

The purpose of this study is to develop rural population model adapting cohort survival method with sift-share effects. Administrative district in this study is below Myun: about 2,000 population. Population data of rural area in 1990, 1995, and 2000 by age cohort were selected for applying developed model. Damping coefficient from population data was calculated as 7% and results applying this coefficient in rural population data below the error from 12% to 1.06%. In detail, most of cohorts fitted with developed model except from 15 to 29 age groups. Application result of small population area; DaesulMyun revealed that main factor of population change is not natural change but migration.

• Journal of Korean Society of Rural Planning
• /
• v.28 no.4
• /
• pp.1-9
• /
• 2022

Rural decline due to the decrease of the local population is an inevitable phenomenon, and a vicious cycle has been formed between a lack of basic living services and a population decrease in rural areas. Therefore, the study aims to derive the migration decision-making characteristics based on basic living service infrastructure data in rural areas. To do this, the population change over the past 20 years was categorized into six types, and the relationship between the classified population change types and the number of basic living service infrastructures was analyzed using decision tree analysis. Of the total 3,501 regions, 801 regions were the continuous decline type, of which 740 were rural areas. On the other hand, among 569 regions that were the continuous increase type, 401 regions were urban areas, confirming the population imbalance between rural and urban areas. As a result of the decision tree analysis on the relationship between population change types and the distribution of basic living service infrastructure, the number of daycare centers was derived as an important variable to classify the continuous increase type. Hospitals, parks, and public transportation were also found to be major basic living services affecting the classification of population change types.

• Journal of Korean Society of Rural Planning
• /
• v.29 no.4
• /
• pp.183-189
• /
• 2023

As South Korea faces a general decline in population, similar to other regions, its rural areas are also experiencing a downward trend. This study examines how the scale and shifts in population within rural towns(eup·myeon) are affecting the number of essential services such as hospitals, laundry shops, and beauty salons. Our analysis encompassed the populations of 1,403 towns, excluding nine areas due to lack of data as of 2020. Since the availability of basic services can vary with population size, we normalized the figures to reflect the number of services per 10,000 people, allowing for a comparative analysis across different population sizes. Generally, areas with more people showed an increase in the number of services per capita. Our review of changes from 2000 to 2020 revealed patterns in how service numbers adjust with population variations. Future research should delve into more detailed trends of these facilities and forecast the rural population's future to ensure that residents in areas where service sustainability may be challenging will have full access to necessary services.

• Journal of the Korean Institute of Rural Architecture
• /
• v.24 no.4
• /
• pp.77-84
• /
• 2022

The purpose of this study is to derive implications by comparing the spatial distribution of each service facility per unit population(1,000 people) with population decline areas. For this purpose, major concepts such as living infrastructure services, Spatial Distribution of Rural Living Service Facilities, areas of declining population, and regional extinction were reviewed and trends in prior research. Based on the literature review, 'Spatial Distribution of Rural Living Service Facilities' analysis criteria were set, and it was derived by 'the number of facilities per 1,000 population by township' using population data and rural space data. And the trend of each service sector was identified and implications were derived with 89 cities and counties in 'depopulation areas' suggested by the Ministry of Public Administration and Security. The derived implications are as follows. In the medical, leisure, and sports infrastructure sectors, 'rural areas with few service facilities per unit population' and 'depopulated areas' tended to coincide. In addition, the distribution characteristics of rural and urban areas differed by sector, which is judged to depend on the inclusion of rural facilities and population density.

• Journal of Korean Society of Rural Planning
• /
• v.29 no.3
• /
• pp.15-24
• /
• 2023

The sense of crisis regarding regional extinction due to low birth rates and an aging population is expanding. Generally, the local extinction index is used to analyze local extinction. However, it is challenging to diagnose the actual situation of village extinction risk in rural areas, even though the regional extinction index can be analyzed in units such as Si-Gun-Gu and Eup-Myeon-Dong. This difficulty arises because the regional extinction index solely relies on natural population growth indicators (elderly population and female population aged 20-39). Therefore, the purpose of this study is to develop a village extinction index that can identify the disappearance of rural villages. Additionally, the aim is to apply the developed indicators to the village (administrative ri) spatial unit. The existing regional extinction index used only mortality-related indicators as factors for natural population decline and fertility-related indicators as factors for natural population growth. However, the developed village extinction index included not only the factors of natural population change but also incorporated social population growth factors and factors related to the pace of village extinction. This is the key difference between the developed village extinction index and the existing regional extinction index. In this study, the indicators of "total population," "number of young women aged 20-44," "number of elderly population aged 70 or older," and "number of incoming population" were selected to develop a village extinction index. The village extinction index was developed by incorporating both natural population growth indicators and social population growth indicators. The developed village extinction index was applied to administrative villages. This research is expected to provide a more accurate understanding of the current state of rural villages facing extinction.

• Journal of Korean Society of Rural Planning
• /
• v.19 no.4
• /
• pp.203-212
• /
• 2013

The aging of farm households has caused serious problems such as productivity slowdown and aggravated income polarization in South Korea. Urban-to-rural migration has been recently suggested as a measure to attenuate the aging of rural population and other related problems. The inflow of migrants for farming can have a substantial effect on agriculture and rural communities while the natural adjustment of rural population caused by birth and death is slow. This paper forecasts population distribution of different provinces using the Origin-Destination (OD) analysis, taking into account both the size and directions of migration. In the analysis, nodes where the migration takes place are divided by the industrial sectors (agriculture and non-agriculture), regions, and ages. The results of a ten-year forecast shows that the aging of total population in most provinces will be intensified, but the portion of people over sixty will decrease in the agricultural sector. This finding implies that migration into rural areas, when occurring by a large extent, can mitigate the aging process and attendant problems.

• The Korean Journal of Community Living Science
• /
• v.15 no.2
• /
• pp.137-150
• /
• 2004

The aged population in Korea, especially in rural areas, has been growing rapidly. The welfare for the rural elderly has become a major concern, however we don't have enough information about that population; we don't even have detailed demographics of it. The present research is aimed at; 1) investigating the tendency and changing geographical distributions of the rural elderly, and 2) introducing GIS(Geographic Information Systems) as a useful tool in analyzing geographical distributions of the aged. The General Census Data from 1960 to 2000 was used to carry out this study. The major findings are; 1) There has been a gradual decrease in the rural population over the past 40 years, but this tendency has slowed down more recently; 2) It was observed that the 'oldest-old' group aged 85 years old and over has actuality increased in rural areas faster than any other age group; 3) The changing patterns of the elderly population were different in metropolitan areas and rural areas. In brief, there are far more aged people, especially of the 'oldest-old' group and females in rural areas than those in urban areas. These population, the 'oldest-old' or females, are the most vulnerable and have the greatest need for social welfare and social services of different kinds.

• Journal of Korean Society of Rural Planning
• /
• v.20 no.4
• /
• pp.127-135
• /
• 2014

The purpose of this study is to show the relation of the change between spacial structure and social conditions of rural area. The spacial structure change of Asan city was analyzed using Space Syntax, and multiple regression analysis (dependent variables: connectivity, global integration, local integration / independent variables: population, household, farm population, farm population of 65years old and over, farm household, part-time farm households, cultivated land) was accomplished. As th result, that the increase of connectivity is related to the increase of population and farm population of 65years old and over and the decrease of farm population, and the increase of local integration is related to the increase of farm population of 65years old and over was showed. However, that global integration is not related to change of social conditions was proved.