• Title/Summary/Keyword: Rural Migration Factors

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Factors Influencing Urban to Rural Migration for Farming (귀농인의 영농 어려움에 영향을 미치는 변인 연구)

  • Choi, Yoon-Ji;Shin, Hyo-Yeon
    • Journal of Agricultural Extension & Community Development
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    • v.23 no.3
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    • pp.335-346
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    • 2016
  • For the purpose, this study examines to identify factors influencing urban to rrual migration for farming. This study analyzed 217 urban to rural migrant farmers. The result of this study were as follows: the influence of the main variables on the agricultural challenges of the urban to rural migrant farmers were observed as the relationship of the level of financial preparations, the motivations of urban to rural migration, the agricultural income, the annual of urban to rural migration, the size of agricultural, gender, and age. This study result show that urban to rural migrant farmers' agricultural challenges is influenced by almost economical factors. Therefore, for the successful agricultural activities of the urban to rural migrant farmers show significant impact to need on the composite effort of all such as the individual, the family, the rural society, local autonomous entity, the government.

The Socio-economic Impacts of Urban-to-Rural Migration on the Rural Community: Focused on the Recognition of Rural Residents (농촌주민이 인식하는 귀농·귀촌이 농촌 지역사회에 미치는 사회경제적 영향)

  • Park, Dae Sik;Kim, Kyung In
    • The Korean Journal of Community Living Science
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    • v.28 no.4
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    • pp.653-667
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    • 2017
  • The purpose of this study were to investigate the socio-economic impacts of urban-to-rural migration on the rural community and to identify the factors influencing rural residents' recognition of the socio-economic impacts of urban-to-rural migration on the rural community. For the purpose, this study analyzed Korea Rural Economic Institute's rural residents survey(2016), using multiple regression model. The main finding of this study were as follows: Positive social impacts of urban-to-rural migration on rural community were (1) contributing to community sustainability through population growth, (2) contributing to securing agricultural human resources, and others. Negative social impacts of urban-to-rural migration on rural community were (1) increasing unnecessary complaints and deepening distrust, (2) weakening of community consciousness, and others. Positive economic impacts of urban-to-rural migration on rural community were (1) increasing the value of residents' property, (2) contributing to local finance through increased local tax revenue, and others. Negative economic impacts of urban-to-rural migration on rural community were (1) difficulty of scaling farmland due to small-scale farming, (2) land shortage caused by rising land prices, and (3) fierce competition to secure labor force. According to the multiple regression analysis, the major factors influencing rural residents' recognition of the socio-economic impacts of urban-to-rural migration were (1) villagers' general attitude toward urban-to-rural migrants, (2) urban-to-rural migrants' community participation, (3) age, and (4) fitness of village in urban-to-rural migration.

Analysis of the Influence Factors on Satisfaction of Returning to Farming in Farm-returning and Rural-returning : With Moderating Effect of Family Factor (귀농 귀촌에서 귀농만족에 미치는 영향요인 분석: 가족 지지도를 조절효과 중심으로)

  • Lee, Ji Heum;Ha, Kyu Soo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.12 no.5
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    • pp.39-53
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    • 2017
  • The purpose of this study was to investigate the effects of the rural migration factors, degree of preparation for migration, lifestyle conditions and support policies reflected against the family satisfaction of the migration. In this study family factors were used as control variables. Independent variables for this study will consist of the factors of rural migration, the degree of preparation for migration, living conditions of the farmers and the support policies, where as the dependent variable is the satisfaction of migration with an adjusting factor of the family satisfaction which will be further analysed to identify its effects on the dependent variable. For this study, a questionnaire survey was conducted for the residents and 237 valid questionnaires were collected. Multiple regression analysis was performed based on the collected data where demographic attributes being the controlling variable, and regression analysis was performed for the adjusting variable of the family. As the economic factor increases, the level of satisfaction generated to be higher in rural migration. As for the degree of preparation, living condition and support policies resulted, great quantity of green nature, safety and agriculture startup support, respectively, indicated a positive effect to the satisfaction level of migration. From the results, adjustment effect of the family factors on the economic, nature, convenience and satisfaction of the migration have appeared. The conclusion of this study is that policy support, regional stability, and economic gain are the most important factors to increase satisfaction and to reduce re-migration rate to city.

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An Analysis of How Rural Experience Influence on Rural Perception Changing and Migration Settlement (농촌체험이 농촌인식의 변화와 이주정착에 미치는 영향분석)

  • Jo, Seonggeol;Eom, Seongjun;Hwang, Sung-Ki;Rhee, Zaewoong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.63 no.1
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    • pp.49-60
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    • 2021
  • This paper analyzes causal relationship between rural experience and settlement. Structural Equation Modeling is the combination of factor analysis and multiple regression analysis which can explain causal relation between factors. Rural perception factor has conceptualized positive sector (attitude, values) and negative sector (perceived risk, sentiment). Statistically significant causality results are as follows. People think about migration into rural when they have high level of attitude about rural but fear of rural life make avoid migration into rural. When people have fear of rural life, they also have bad feeling about rural infrastructure and facility. Attitude of rural, values of rural and low fear of rural life gives positive influence to satisfaction. Satisfaction gives positive influence to migration into rural.

The Typology of Urban-Rural Migration and Its Implications (도시민의 귀촌행태 유형화와 시사점)

  • Lee, Min Soo;Park, Duk Byeong
    • Journal of Agricultural Extension & Community Development
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    • v.19 no.4
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    • pp.1137-1170
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    • 2012
  • The study aims to identify the typology of urban-rural migration and its implications. Factors analysis showed that the motivation of migration were economic, idyllic, family, escape of urban life, and farm succession. The most important variable was economic motivation. Cluster analysis also showed that enterprise seeker, small new business seeker, idyllic seeker, and farm successor, This study will be helpful for policy makers to understand urban-rural migration while practical and policy implications were discussed.

A Demand Analysis on Urbanites' Retired Life in the Countryside (도시민의 은퇴 후 농촌정주에 대한 수요분석)

  • Yoon, Soon-Duck;Park, Gong-Ju
    • Journal of Korean Society of Rural Planning
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    • v.12 no.2 s.31
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    • pp.37-47
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    • 2006
  • Recently, due to the growing concern of the public in rural amenities and hobby farming works, much more urbanites, especially near-retirees, have been interested in rural life style than before. However, in spite of popular preference to ruralities, little has been known about their demand on retired rural life. Therefore, this study examined urbanites' attitude to preparatory works for out-migration, preferred residential site conditions and life style in the countryside. For this purpose, data were collected from a survey with the sample of 386 urban residents aged 40 to 65 rho hoped moving into the countryside after retirement, through structured questionnaires. Descriptive statistical works were performed using SPSS/PC windows program. The major findings of this study were as follows; (1) Host of urbanites, who answered in this study, planned to prepare ex-urban movement in their fifties and to put into practice in their sixties. (2) Key factors of location decision on movement were proximity/accessibility to centre city, medical service level, and distance to their family or friends. And about a half of respondents wanted second home in the countryside. (3) Most favoured rural life styles were nature-friendly well-being and hobby/healthy firming. Generally, the respondents of this survey had the positive attitude to do works in their later life, especially preferred to farming and volunteering in their communities.

Migration Characteristics by the Regional Population Scale and Network Analysis of Population Movement Rate (인구 규모별 인구이동 특성과 인구이동률 네트워크 분석)

  • Lee, Jimin
    • Journal of Korean Society of Rural Planning
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    • v.24 no.3
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    • pp.127-135
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    • 2018
  • In countries and regions population plays an important role. Recently the importance of population migration increased as population growth slowed. Researches on population migration are mainly focused on the analysis of the population movement factors and the regional structure analysis using the network analysis method. Analysis of regional structure through population movement is not enough to explain the phenomenon of migration of small cities and rural regions. In this study, to overcome the limit of previous studies the characteristics of the population movement rate according to the size of the population were analyzed. Also network analysis using the population movement OD (Origin and Destination) and population movement rate OD were conducted and the results of them were compared. As the results of analysis by the regional population scale, the population movement by population size showed a big difference in the areas with more than 100 thousand people and less than 100 thousand people. Migration to the outside of the province was the most frequent in regions with 30,000~50,000 people. The population migration rate network analysis result showed that the new area with large population inflow capacity was identified, which could not be found in the population movement network analysis because population movement number is small. The population movement rate irate is expected to be used to identify the central regions of the province and to analyze the difference in resident attractiveness.

Rapid Rural-Urban Migration and the Rural Economy in Korea (한국(韓國)의 급격(急激)한 이촌향도형(離村向都型) 인구이동(人口移動)과 농촌경제(農村經濟))

  • Lee, Bun-song
    • KDI Journal of Economic Policy
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    • v.12 no.3
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    • pp.27-45
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    • 1990
  • Two opposing views prevail regarding the economic impact of rural out-migration on the rural areas of origin. The optimistic neoclassical view argues that rapid rural out-migration is not detrimental to the income and welfare of the rural areas of origin, whereas Lipton (1980) argues the opposite. We developed our own alternative model for rural to urban migration, appropriate for rapidly developing economies such as Korea's. This model, which adopts international trade theories of nontraded goods and Dutch Disease to rural to urban migration issues, argues that rural to urban migration is caused mainly by two factors: first, the unprofitability of farming, and second, the decrease in demand for rural nontraded goods and the increase in demand for urban nontraded goods. The unprofitability of farming is caused by the increase in rural wages, which is induced by increasing urban wages in booming urban manufacturing sectors, and by the fact that the cost increases in farming cannot be shifted to consumers, because farm prices are fixed worldwide and because the income demand elasticity for farm products is very low. The demand for nontraded goods decreases in rural and increases in urban areas because population density and income in urban areas increase sharply, while those in rural areas decrease sharply, due to rapid rural to urban migration. Given that the market structure for nontraded goods-namely, service sectors including educational and health facilities-is mostly in monopolistically competitive, and that the demand for nontraded goods comes only from local sources, the urban service sector enjoys economies of scale, and can thus offer services at cheaper prices and in greater variety, whereas the rural service sector cannot enjoy the advantages offered by scale economies. Our view concerning the economic impact of rural to urban migration on rural areas of origin agrees with Lipton's pessimistic view that rural out-migration is detrimental to the income and welfare of rural areas. However, our reasons for the reduction of rural income are different from those in Lipton's model. Lipton argued that rural income and welfare deteriorate mainly because of a shortage of human capital, younger workers and talent resulting from selective rural out-migration. Instead, we believe that rural income declines, first, because a rapid rural-urban migration creates a further shortage of farm labor supplies and increases rural wages, and thus reduces further the profitability of farming and, second, because a rapid rural-urban migration causes a further decline of the rural service sectors. Empirical tests of our major hypotheses using Korean census data from 1966, 1970, 1975, 1980 and 1985 support our own model much more than the neoclassical or Lipton's models. A kun (county) with a large out-migration had a smaller proportion of younger working aged people in the population, and a smaller proportion of highly educated workers. But the productivity of farm workers, measured in terms of fall crops (rice) purchased by the government per farmer or per hectare of irrigated land, did not decline despite the loss of these youths and of human capital. The kun having had a large out-migration had a larger proportion of the population in the farm sector and a smaller proportion in the service sector. The kun having had a large out-migration also had a lower income measured in terms of the proportion of households receiving welfare payments or the amount of provincial taxes paid per household. The lower incomes of these kuns might explain why the kuns that experienced a large out-migration had difficulty in mechanizing farming. Our policy suggestions based on the tests of the currently prevailing hypotheses are as follows: 1) The main cause of farming difficulties is not a lack of human capital, but the in­crease in production costs due to rural wage increases combined with depressed farm output prices. Therefore, a more effective way of helping farm economies is by increasing farm output prices. However, we are not sure whether an increase in farm output prices is desirable in terms of efficiency. 2) It might be worthwhile to attempt to increase the size of farmland holdings per farm household so that the mechanization of farming can be achieved more easily. 3) A kun with large out-migration suffers a deterioration in income and welfare. Therefore, the government should provide a form of subsidization similar to the adjustment assistance provided for international trade. This assistance should not be related to the level of farm output. Otherwise, there is a possibility that we might encourage farm production which would not be profitable in the absence of subsidies. 4) Government intervention in agricultural research and its dissemination, and large-scale social overhead projects in rural areas, carried out by the Korean government, might be desirable from both efficiency and equity points of view. Government interventions in research are justified because of the problems associated with the appropriation of knowledge, and government actions on large-scale projects are justified because they required collective action.

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Geographical Imbalances: Migration Patterns of New Graduate Nurses and Factors Related to Working in Non-Metropolitan Hospitals

  • Cho, Sung-Hyun;Lee, Ji Yun;Mark, Barbara A.;Lee, Han Yi
    • Journal of Korean Academy of Nursing
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    • v.42 no.7
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    • pp.1019-1026
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    • 2012
  • Purpose: To examine geographical imbalances by analyzing new graduate nurses' migration patterns among regions where they grew up, attended nursing school, and had their first employment and to identify factors related to working in non-metropolitan areas. Methods: The sample consisted of 507 new graduates working in hospitals as full-time registered nurses in South Korea. Migration patterns were categorized into 5 patterns based on sequential transitions of "geographic origin-nursing school-hospital." Multiple logistic regression analysis was conducted to identify factors associated with working in non-metropolitan hospitals. Results: Nurses who grew up, graduated, and worked in the same region accounted for the greatest proportion (54%). Sixty-five percent had their first employment in the region where they graduated. Nurses tended to move from poor to rich regions and from non-metropolitan to metropolitan areas. Working in non-metropolitan hospitals was related to older age, the father having completed less than 4 years of college education, non-metropolitan origin, non-capital city school graduation, and a diploma (vs. baccalaureate) degree. Conclusion: Admitting students with rural backgrounds, increasing rural nursing school admission capacities, and providing service-requiring scholarships, particularly for students from low-income families, are recommended to address geographical imbalances.

Development a Estimate Model of Migration Using Cohort-Survival Model (집단 생잔 모형을 이용한 인구이동모델 개발)

  • Han, Yi-Cheol;Lee, Jeong-Jae;Jung, Nam-Su
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2005.10a
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    • pp.456-460
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    • 2005
  • The purpose of this study is to develop a estimation model of migration with only population data using the cohort-survival model which has been used for forecasting future population. The fluctuation of population can be bisected to the natural change which can be occurred by birth and death and the social change which means migration. The factors of the social change are usually very important for establishing rural policies. However, researches using migration data has limitations because the usage of them are restricted. For verifying a estimation model of migration, comparing estimated population in 2000 year and migration quantity between 1996 and 2000 of 25 gu with real values, using population data and death ratio from 1995 to 2000 of the 25 gu in Seoul. Result shows a reliable data that R-square of forecating population model is 0.9755 and migration is 0.9180. So these model are worth to estimate a population and migration quantity to restricted migration data.

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