Optimization of agri-environmental payments using genetic algorithm in Japan

2015 Fiscal Year Final Research Report

• Project/Area Number: 25660178
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Agricultural science in management and economy
• Research Institution: Shiga University
• Principal Investigator: Tanaka Katsuya 滋賀大学, 環境総合研究センター, 准教授 (20397938)
• Co-Investigator(Kenkyū-buntansha): NISHIZAWA Eiichiro 法政大学, 経済学部, 教授 (30328900) ; FUJIE Takeshi 明治大学, 農学部, 准教授 (40356316) ; SOMURA Hiroaki 島根大学, 生物資源科学部, 准教授 (90403443)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 遺伝的アルゴリズム / 環境直接支払 / 保全型農業

Outline of Final Research Achievements

This study investigates an optimal allocation of conservation agriculture by combining genetic algorithm, distributional watershed simulation model, and lake ecosystem simulation model. Our results show that, in relatively small watershed, spatial allocation of conservation agriculture is less important in terms of lake ecosystem restoration. Although this might be due to the scale of the watershed, our results are uncertain in terms of the extent of generalization. Further research would be highly needed by focusing on other small watersheds with different conditions and larger-scale watersheds.

Free Research Field

農業・資源経済学