PMP모형을 이용한 지역단위 농업 생산반응 분석

• 영문명: Analyzing Regional Agricultural Production Responses using a Positive Mathematical Programming Method
• 발행기관: 한국농업경제학회
• 저자명: 권오상(Oh-Sang Kwon) 이승호(Seoung-Ho Lee) 조현경(Hyunkyoung Cho)
• 간행물 정보: 『농업경제연구』60권 1호, 19~42쪽, 전체 24쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2019.03.30

영문 초록

This study constructs regional crop production models of 8 cities in Korea using the PMP Leontief-quadratic and the generalized-CES models suggested by Mérel and Bucaram (2010) and Mérel et al. (2011). A generalized maximum entropy estimation method was used to derive the set of supply elasticity estimates allowing a complete calibration of the models. We demonstrate that those two PMP models fit the Korean regional data quite well. The impacts of two policy changes, raising the rice producer price under the rice direct payment system and raising the minimum wage for hired rural labor were simulated. Our simulation results show that the policy impacts are varying over region and crop. Moreover, it is shown that the choice of the functional specification substantially affects the direction and the magnitudes of the policy impacts. More specifically, production responses are more flexible in the CES specification rather than in the Loentief specification, and the former specification suggests that a substantial increase in rural minimum wage may result in a decline in capital and labor employment in rural areas while the latter specification suggests that the overall resource use in rural areas will not be affected by the policy.

목차

Ⅰ. 서론

Ⅱ. PMP모형의 구축

Ⅲ. 모형의 식별과 시뮬레이션

Ⅳ. 요약 및 결론

키워드

실증적 수리계획법(Positive Mathematical Programming) 지역 공급반응(Regional Supply Responses) 레온티에프모형(Leontief-Quadratic Model) CES모형(Generalized CES Model)