The Development of Community Economic Model Affects the Sustainable Self-Reliance of The Community in Thong Pha Phum District Karnchanaburi.

Abstract

       Research on community economic development patterns that affect sustainable self-reliance of communities in Thong Pha Phum District, Kanchanaburi Province The objectives of the research are as follows: 1) study the elements of community economic development that affect sustainable self-reliance and 2) To create and verify the validity of the model of community economic development that results in sustainable self-reliance of the community in Thong Pha Phum Distric Kanchanaburi Province. The sample used in the research was 245 entrepreneurs in the community economy group using stratified sampling method. The research instrument was a questionnaire with the reliability of 0.98. Data analysis using descriptive statistics and reference statistics was frequency, percentage, mean. Standard deviation, skewness, keenness Distribution coefficient Exploratory element analysis And confirmatory component analysis And route analysis Which analyzes data by using computer software. The research found that 1.The results of the study of the elements of community economic development affecting sustainable self-reliance of communities in Thong Pha Phum district Kanchanaburi province found that the composition of 4 elements Development and management Basic building and process Sales and profit allocation And sustainable self-reliance The composition of the water is between 0.545 and 0.949. The cumulative variance can be described as 74.39% 2.The results of the creation and validation of the model of community economic development affecting sustainable self-reliance of Thong Pha Phum community Kanchanaburi province found that the development and management elements (DEM), the basic building and process components (BPP) and the sales and profit allocation component (SPA) affect sustainable self-reliance of communities in Thong Pha Phum district Karnchanaburi And the model corresponds to empirical data. (X²=91.11, df = 106, p = 0.85, 21, GFI = 0.96, AGFI = 0.94, RMSEA = 0.00, SRMR = 0.04)