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A Study on Development of the Korea Agricultural Population Forecasting Model and long-term Prediction

농가인구예측 모형 개발 및 중장기 전망

  • Received : 2015.03.12
  • Accepted : 2015.06.11
  • Published : 2015.06.30

Abstract

A population decline in rural area is correlated with the number of household, with agricultural workers, as a result, affects the farming income. Agricultural population is a foundation of agriculture structure. Agricultural population decline influences agricultural policies to be implemented for the future and there is concern about slowdown in productivity. The purpose of this study is to build the ability to use the model and conduct applied analyses of various kinds and to make rational agricultural policies by forecasting and analyzing agricultural population change. Unlike previous studies, which have some assumptions about the giving-up farming rate (GFR) of the key points on the agricultural population model or, After estimating only one equation with respect to the total population, and then distribute by sex and age. This study was conducted to investigate the reactions are different from the farmhouse, gender, age by estimating giving-up farming rate (GFR) equations each gender & age. Through this research, we can find that Farm Population changes of the simulation can be performed for a variety of agricultural policy in conjunction with existing agricultural simulation models as well.

농촌지역의 인구감소는 농가호수 및 농업취업자 감소로 연결되어 결과적으로 농업총소득에 영향을 미치게 된다. 또한 농가인구는 농업구조의 근간으로 농가인구 및 농촌인구의 감소는 향후 시행될 농업정책에도 영향을 주어 농업 생산성이 악화될 우려가 있다. 이 연구는 성별 연령별 농가인구모형 개발을 통해 향후 농업 정책 수립에 필요한 인구 전망치를 제시하며, 동시에 다른 연구 및 필요한 기초자료를 제공하는데 그 목적이 있으며, 소득 변화 등 경제 변화에 따른 정책 시뮬레이션이 가능하도록 모형을 개발하는데 목적을 두었다. 기존 연구와 달리 본 연구는 농가인구모형의 핵심사항인 이농률에 대해 몇 가지 가정을 하거나, 인구전체에 대하여 하나의 방정식을 추정한 후 성별 및 연령별로 배분하는 기존방식에서 벗어나서 성별 및 연령별 이농률 방정식을 모두 추정하여 성별 연령별로 이농 반응의 상이함을 규명하고, 각 코호트별로 투여하여 전망한다는 것을 차이점으로 볼 수 있다. 또한 기존의 농업시뮬레이션모형과 연계하여 각종 정책 시행에 대한 농가인구 변화양상 시뮬레이션이 가능해진 점을 들 수 있다.

Keywords

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