기후변수와 쌀 생산성 : 패널 지역자료를 이용한 준모수적 분석

• 영문명: Climate Variables and Rice Productivity: A Semi-parametric Analysis Using Panel Regional Data
• 발행기관: 한국농업경제학회
• 저자명: 조현경(Hyunkyoung Cho) 조은빛(Eunbit Cho) 권오상(Oh-Sang Kwon) 노재선(Jae-Sun Roh)
• 간행물 정보: 『농업경제연구』54권 3호, 71~94쪽, 전체 24쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2013.09.30

영문 초록

The purpose of this study is to estimate the impacts of climate variables on rice producticity in Korea. In order to allow for a flexible functional relationship, teh penalized spline regression whith is a semi-parametric model is used. A panel data set of 49 cities and towns for the period from 1996 to 2011 is used for estimation. The spline regression model allows random intercepts in-corporating the panel nature of the data set. Moreover, we identify the observations with extreme weather conditions such as flood in order to incorporate the increasing variability of climate factors. The study finds that rice productivity is significantly affected by technical change, sunshine du-ration and temperature in the grain-filling months. It is found that the variables of sunshine dura-tion must be incorporated as non-parametric elements of the semi-parametric model. There is a positive relationship between sunshine duration and productivity. An inverted U-shape relationship between temperature and productivity is found. The study shows that the peak temperature comes earilier if the panel-nature of the data is taken into account.

목차

I. 서론

II. 연구방법

III. 분석자료 및 결과

IV. 요약 및 결론

키워드

climate change semi-parametric analysis panel data