Table 5. — Regression analysis of factors affecting resource use. 



Dependent variable 



B 



B 



1 



B 



(Cr^,) 



B 



(^nO 



(D) 



i?2 



All years: 

 Labor 



Vessels 



Years of Increased Landings: 

 Labor 



Vessels 



Years of Decreased Landings: 

 Labor 



Vessels 



85.88 



89.95 



77.33 



84.43 



102.90 



99.39 



0.14 



0.13 



0.24 



0.28 



0.08 



0.13 



80 



80 



42 



42 



35 



35 



'Variables are as defined in text. Parentheses contain "fvalues" of the regression coefficients. 



(E = expected MVP in year t^ 



A = actual MVP in year t^ ) 



Figure 4. 



Asymmetry between entry and exit of 

 resources. 



may be somewhat spurious due to the 

 2-year cycle of pink salmon. 

 (2) Increased unemployment rates in major 

 labor markets reduced entry into the 



fishery, especially in years of increased 

 landings when the incentive to enter 

 would have been highest. 

 (3) Increased distance from major labor mar- 

 kets had a positive relationship to the 

 index of resource use, and was relatively 

 more significant in years of increased 

 landings. In retrospect, both distance and 

 unemployment rates might contribute 

 more to an explanation of the B\ coeffi- 

 cient which related resource levels to 



landings r- dXr* i i if these coefficients 



could be estimated for each district, rather 

 than the overall fishery. Our data did not 

 permit this to be done. 



Policy Implications 



Although this analysis was fairly superficial 

 because of the reliance on secondary data, it 

 did indicate that entry of resources is systemati- 

 cally related to profit expectations based on an 

 increasing level of aggregate landings. The 

 same may be said for exit from the fishery if 

 "systematic" is interpreted in terms of consis- 

 tency with fixed asset theory. The empirical 



144 



