거시적 방법에 의한 지역농협 인력결정요인 분석
An Analysis of the Personnel Determinants of Regional Agricultural Cooperatives Using Macro Method
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The purpose of this study is to find personnel determinants suited to the characteristics of regional agricultural cooperatives. The current estimation of personnel at regional agricultural cooperatives is based on management performance as a main variable. However, unlike general business entities that are aimed for profit generation, agricultural cooperatives pursue the increases in the practical benefits of members as a top priority. Therefore, agricultural cooperatives should find personnel determinants that reflect the characteristics of their own types or businesses, rather than the management performance. To this end, this study estimated regression models using various datasets of agricultural cooperatives as variables to find the appropriate personnel determinants for regional agricultural cooperatives. In terms of the estimation of a regression model by organizational type, the study found that the rural and urban types had different sets of personnel determinants. In addition to management performance which was a common factor in both types, the rural type included the number of rural households and the number of quasi-members, and the urban type included the number of members. The regression model by business type was projected by using Cobb-Douglas production function. As a result, personnel determinants were the number of farming organizations in extension services, the performance of economic projects in economic business, and the sum of the average balances of loans and deposits in financial business. In other words, different business types yielded different personnel determinants. This study verified the appropriateness of the estimated regression models using standard deviations and Pearson’s correlation coefficients. As a result, when compared with the existing personnel estimation methods of agricultural cooperatives, the regression models were confirmed to have a higher level of explanatory power.
Abstract
The purpose of this study is to find personnel determinants suited to the characteristics of regional agricultural cooperatives. The current estimation of personnel at regional agricultural cooperatives is based on management performance as a main variable. However, unlike general business entities that are aimed for profit generation, agricultural cooperatives pursue the increases in the practical benefits of members as a top priority. Therefore, agricultural cooperatives should find personnel determinants that reflect the characteristics of their own types or businesses, rather than the management performance. To this end, this study estimated regression models using various datasets of agricultural cooperatives as variables to find the appropriate personnel determinants for regional agricultural cooperatives. In terms of the estimation of a regression model by organizational type, the study found that the rural and urban types had different sets of personnel determinants. In addition to management performance which was a common factor in both types, the rural type included the number of rural households and the number of quasi-members, and the urban type included the number of members. The regression model by business type was projected by using Cobb-Douglas production function. As a result, personnel determinants were the number of farming organizations in extension services, the performance of economic projects in economic business, and the sum of the average balances of loans and deposits in financial business. In other words, different business types yielded different personnel determinants. This study verified the appropriateness of the estimated regression models using standard deviations and Pearson’s correlation coefficients. As a result, when compared with the existing personnel estimation methods of agricultural cooperatives, the regression models were confirmed to have a higher level of explanatory power.
참고문헌 (17)
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