Multivariate Statistical Analysis and its Classification of Project Promotion and Preventive Aspects in On-going and Unexecuted Land Consolidation Projects:Based on the result from the questionnaire to land improvement districts in on-going and unexecuted

概要

論文の詳細を見る
Based on the questionnaire to land improvement districts under construction of land consolidation projects, the following principal component analysis are carried out.(1) 7 clusters are classified by 9 principal components.These components are the agricultural condition, land, human relations, production conditons, the agricultural structure improvement policy, non agricultural land, land use change, drawing of land use map and farmers'payments.(2) The districts which initiate projects are categorized into 3 clusters by 4 factors.These are farmers'payments, production conditions, non agricultural land and farm road construction.(3) The districts where farmers agreed to implement projects are divided into 3 clusters by 3 factors of increase of agricultural productivity, agricultural structure improvement policy and farming operations.(4) The districts where farmers disagreed to promote projects are grouped into 4 clusters by 5 factors. These are human relations, production control, agricultural conditions, disposition for substitute lots and farmers'payment.<BR>Moreover, the causes for the farmers'disagreements in unexecuted projects are studied by means of multidimentsional quantification I.As a results, it is clear that the farmers who opposed projects have doubts on substitute lots, farming management, land reduction by disposition for substitute lots and rice cultivation control.
社団法人農業農村工学会の論文