. Commercial fisheries review. Fisheries; Fish trade. 27 Poiipds 5. '^"Predicted 1/ r X^ = ; - + + ^ - () () () () r2 = D-W = 1/ consumption of tuna, per capita price of tuna -i- Wholesale Price Index income, per capita ( dollars) price of salmon -r Wholesale Price Ind price of meat, fish, and poultry -i- Consumer Price Index In logarithms, and parenthesis indicate T values. I 1 Years 19U7 1950 1955 i960 Source: Division of Economic Research, BGF 1965 Fig. 1 - Comparison of actual and estimated per-capita con
. Commercial fisheries review. Fisheries; Fish trade. 27 Poiipds 5. '^"Predicted 1/ r X^ = ; - + + ^ - () () () () r2 = D-W = 1/ consumption of tuna, per capita price of tuna -i- Wholesale Price Index income, per capita ( dollars) price of salmon -r Wholesale Price Ind price of meat, fish, and poultry -i- Consumer Price Index In logarithms, and parenthesis indicate T values. I 1 Years 19U7 1950 1955 i960 Source: Division of Economic Research, BGF 1965 Fig. 1 - Comparison of actual and estimated per-capita consumption of canned tuna, United States, 1947-67. According to the analysis, a 10% increase in tuna prices would reduce tuna per-capita consumption by approximately 10%. However, a 10% increase in per-capita income would increase per-capita consumption of canned tuna by about 14%. These quantitative rela- tionships allow prediction of the impact of, for example, a 50% increase in per-capita income, or a 20% rise inprice of canned tuna on per-capita consumption. These are very important relationships that must be known before reliable forecasts can be made. DEMAND FACTORS FOR RAW AND CANNED TUNA ABROAD Analyses of demand factors to those carried out for the were applied to Japan, EEC countries, Spain, Peru, China (Taiwan), Turkey, Canada and the United Kingdom. These and the account for about 85% of world consumption of tuna. The demand for tuna was divided into raw and canned in some countries where both forms are a significant percentage of consumption. Because of the lack of statistical importance of salmon prices, and meat, fish, and poultry prices found in the analyses--and the difficulty of obtaining data for other coun- tries--these factors were omitted from the statistical analyses. For the countries studied, the results in- dicated that per-capita income and tuna prices were significant factors in explaining changes in per-capita consumption of tu
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