• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.437-438
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• 2024

인구가 감소하고 있는 농어촌의 지역경제를 살림과 동시에 지역 소멸을 예방하고, 정착 지역 탐색에 많은 시간을 할애하는 귀농희망자들을 위해 도움을 줄 수 있는 데이터베이스를 설계하고 구축하였다. 사용자는 이 데이터베이스를 활용하여 사용자가 원하는 조건에 맞는 상위 5개 지역을 추천받을 수 있다. 정부와 기업이 귀농 지역 추천 데이터베이스를 활용하여 귀농을 희망하는 사람들의 행태를 알아보면 농촌 지역과 지방 소도시 지역 개발 및 활성화를 긍정적으로 예상할 수 있고, 이러한 관심이 결과적으로는 우리나라의 국토 균형발전에 큰 도움이 될 것이다.

• Journal of Agricultural Extension & Community Development
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• v.24 no.1
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• pp.33-48
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• 2017

Returning to farming and rural village is one of the most hot social issues in Korea. Therefore, the government has tried to make up a policy program, which aims to support for the urban residents to get appropriate informations and to make right decisions about returning to farming and rural village. For the sparsely populated rural communities, this phenomena are some good opportunities for their sustainable development. The government needs the resasonale prospect on returning to farming and rural village, because their policy program should be made on the basis sound data and information. But, with the current data about returning to farming in Korea, it is impossible to make an econometrical model that can forecast the population who will return to farming and rural village. So, we tried a delphi method to sketch the future returning to farming and rural village. The delphi panels gave us some prospects on the issues. They anticipated that the population of returning to farming will increase for the next five years. And, they recommended some policy directions.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.37-42
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• 2019

This study investigated the policies of return to farm & rural of the local government 's local communities. Through this, we intend to provide information for the successful establishment of the policies of the local village. The local economy is difficult due to the declining population. Therefore, it is also important as a way to increase the population. It is also important as a way to revitalize agriculture. The results of this study are as follows. The main factors are education, self-sufficiency, adaptation, funding, and consulting. In addition, the importance of these was highest in the self-supporting environment (28%). Followed by adaptation (21%) and funding (20%). Followed by consulting (17%) and education (15%). We can conclude that the factors that show a somewhat lower proportion are less important, but we can also conclude that the importance of the factors is high due to the high maturity of the factors. The importance analysis used AHP technique. The results of this study can be a guide for government policy.

• 한국벤처창업학회:학술대회논문집
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• 2018.04a
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• pp.131-134
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• 2018

우리나라의 전체 인구는 증가추세인 반면 농촌과 농업인구는 계속해서 감소하고 있으며 인구 구조도 급속히 고령화되고 있어 농업경영과 농촌사회의 지속성이 취약해지고 있다. 이에 정부와 각 지자체에서 귀농 귀촌을 권장하고 농업분야의 창업을 권장하기 위해 다양한 정책들을 추진하고 있으나 정책의 수혜자들에게 노출되지 않아 제대로 활용되지 못하거나, 지원체계가 혼란스러워 적절한 지원이 이뤄지지 않고 있는 문제점을 노출하고 있다. 본 연구에서는 농업분야에서의 창업현황을 살펴보고 농업벤처 창업과 6차산업 창업으로 구분하여 해당 분야에 중심이 되는 '6차 산업 창업지원 체계화 방안'과 '6차산업 사업단계별 맞춤형 지원 방안', 그리고 '농식품 벤처창업생태계 활성화대책'을 중심으로 농업분야 창업 지원을 위해 정부와 각 기관에서 시행중인 정책들을 살펴보았으며, 경영체의 설문조사를 통해 창업과정에서 발생한 문제점들과 보완할 사항들에 대해 살펴보았다. 특히 대부분의 정책들을 농림축산식품부에서 담당하고 있으나 창업관련 정책은 농촌진흥청에서 기획을 하면서 '농식품 가공' 중심의 창업이 활성화되고 상대적으로 홍보나 판촉 및 유통, 농촌관광 등 서비스업 분야의 지원은 취약하다는 것을 알 수 있었다. 창업 지원정책에 대한 세밀한 분석과 경영체별 설문조사를 토대로 실제 창업에 도움이 되기 위해서는 준비단계부터 경영체별로 맞춤형 지원이 필요하다는 점과 이론 교육보다는 실제 창업준비를 위한 상담이나 멘토링의 제도를 활성화시키는 것이 실질적인 도움이 된다는 것을 알게 되었다. 또한 각 시행 기관별 연계를 강화하기 위해 농림축산식품부가 컨트롤타워 역할을 수행하며 각 지자체 중심의 단일화된 지원 창구가 되어 창업단계별로 필요한 지원을 하는 것이 중요하다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.2
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• pp.233-250
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• 2014

Since 2000, people who lived in the city begin to see returning to farming in a new perspective. People returning to the farming became a trend and therefore, the number of people who are returning to farm are increasing. Because of the concept of take up farming is developing as an idea of establishing a new business, the government agency and the government-related organization are very supportive as the government is interested in the business. The conclusion is below regarding the analysis result In order to receive the analysis of actual proof, we conducted a survey targeting 300 people who returned to farming village in the whole country, excluding Jeju Island from Aug 1st 2013 to Aug 30th 2013. Except uncandidness answers, we used 252 survey results of our sample. Also we used SPSS Wim Ver. 18.0 to draw a conclusion regarding the collected sample. First, regarding of Hypothesis 1 "Personal characteristic will give positive effects in returning to farming village", was partially supportive Second, regarding of Hypothesis 2 "Reason of settling will give positive effects in returning to farming village", was partially supportive Third, regarding of Hypothesis 3 "Geographic characteristics will give positive effects in returning to farming village", was partially supportive Fourth, the effect of social support between the individual characteristic, reason of settling, and geographic characteristics, the result indicated that the social support was partially supportive in farm returners regarding reason of settlement. However, there were no social support effect in returning to farm satisfaction regarding of geographic characteristic. Fifth, after analysing the difference of personal characteristic regarding demographic characteristic, reason of settlement, and geographic characteristic, the result indicated that people who are age 40+, who graduated graduate school lived in metropolitan city, settling to Jeollabuk-do felt higher satisfaction of returning to village than people who are in their 30s, graduated university, lived in city/district, and now settling to Kyung-book and Choong-nam.

• Journal of Korean Society of Forest Science
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• v.103 no.4
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• pp.670-678
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• 2014

This paper analyzes the characteristics of population change and makes the population projection in the mountainous area of Korea. Mountainous areas are defined as local towns (eup or myeon) with forest area more than 70 percent of land area, population density less than 111 people per square kilometer, and plowland area less than 21 percent of land area. The population in mountainous areas has decreased dramatically, while the ageing index has increased over the past two decades. To make the population projection, the cohort-change ratios method is applied. The results revealed that a multitude of young people aged 10 to 39 moved to cities to find education and job chance and some people aged 40 and over moved to mountainous areas as the trends of urban-to-rural migration. This continuing trend will culminate in 680 thousand people in population and 1,035 of ageing index in 2030, which will lead to the unequal land development and inefficient forest management. Thus, policy makers need to develop stimulus plans to revitalize and stabilize the economy of mountainous areas.