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薛仁埈 慶尙大學校 1977 論文集 Vol.16 No.2
The price and output response of the marketable surplus of a subsistence crop would be a topic of major concern to agricultural planners. In this study an attempt was made to determine the factors that influenced a farmer's decision to allocate output between home consumption and market sale within farm households. All equations employed in this analysis were fitted by teh ordinary least square multiple regression techniques using time-series data for the period 1966∼'74. Major findings and conclusions drawn from the numerical results are as follows: 1. The effect of price change on marketable surplus of rice for a given output level is negligible in general. This suggests the posibility that an increase in rice price due to high price policy may not have a positive effect on marketable surplus at least during the crop year. 2. The total price elasticity of rice marketings, including production adjustment, is positive in all cases and ranges from 0.3 to 0.6 in the short run and 0.7 to 1.0 in the long run. This implies that high price policy for rice attempting to stimulate output would be also effective and desirable as a mean s of stimulating the transfer of a larger proportion of the output from the agricultural sector to the non-agricultural sector. 3. One of the major findings is that the elasticity of marketing with respect to output is greater than unity in every case, ranging from 1.3 for the large farms to 1.5 for the small farms, and substantially higher than the partial and the total price elasticities. From the policy point of view, this means that increases in output resulting from introduction of new high yielding varieties or improvement in basic infrastructure such as irrigation would have a strong positive impact on an increase in total marketable surplus of rice.
薛仁埈 慶尙大學校 1978 論文集 Vol.17 No.2
Knowledge of food expenditure patterns is extremely important in food supply-demand planning and improvements of diet. This articleis an attempt to present estimates of the relationship of total consumption expenditures per person to expenditures on various items of food and beverages of urban households in Korea. Equtions employes in this analysis were fitted by the ordinary least square regression techniques using both time-series data for the period 1965-75 ad cross-sectional data for 1975 of the Family Icome and Expenditure Survey. Major findings obtained from the analysis are summarized as follows: 1. About 44 percent of consumption expenditures was spent for food and beverages in 1975. The coefficient of expenditure elasticity for all food and beveragres derived from the time-series analysis was about 0.39, indicating that per capita expenditures for food and beverages incresed an average of about 0.39, indicating that per capita expenditures for food and beverages increaed an averageof about 4 percent for every 10 percent increase in per capita consumption expenditures. On the other hand, the coefficient of expenditrue elasticity derived from the croo-sectional analysis was about 0.78, which is considerably of higher than that from the time-series analysis. 2. The coefficients of expenditure elasticities in the time-series analysis were 0.47 for meat and fish, 1.82 for milk and eggs, and 0.95 for vegetable and fruits, but the coefficients in the cross-sectional analysis were 1.02 for meat and fish, 1.13 for milk and eggs, 0.83 for vegetables and fruits. For cereal, the time-series study showed a negative coefficient of -0.17, but the corss-sectional result was a coefficient of 0.64. 3. The time-series analysis showed that the coefficients of expenditure elasticities in favorite foods were 1.52 for processed food, 3.11 for confectioneries and soft dfinks, and 2.14 for alcoholic drinks, which are higher than the respective result of the cross-section study. As againsst this, the hishger coefficients of expenditure elasticities for condiments and meal outside the home were obtained from the cross-sectional analysis. In general, the patterns of relationship of expenditures for food and beverages to consumption expenditures as shown by the time-series analysis were distinctly different from the relationship revealed by teh cross-sectional study. As a result, a direct comparision between the two analyses can not be made because of no close conformityin outcome as well as conceptual differences. If analytical data are to be used to forecast the future prospects for expenditure patterns of food and beverages, the results of the time-series analysis would be used more relibly than those of the cross-sectional analysis.