A study on industry-academia collaboration and incentive structure for university researchers in fisheries and ocean sciences (2)

The study elucidates the incentive structure for university researchers cooperating with industry and local communities in the fields of fisheries and oceanography. The consciousness was different between the researchers having a doctorate degree and the researchers having a master’s degree. The viewpoint on the cooperation with industry was different among special researchers, teachers specialized in education, etc. Binary logistic regression and CART analysis were used to examine specific incentives. The results reveal that the factor X, “reflection to salary” and “support for research funds,” classifies the response Y, “reflection to research funds.” Especially eager researchers, for whom Y = 1 at “reflection to research funds”, correspond to respondents who select importance as five: very important or four: rather important as the factor X. An estimate to predict the accuracy of the model shows that the conformance probability was more than 0.87. Researchers who regard factor X, “reflection to salary” and “support to research funds,” as either “five: very important” or “four: rather important,” are defined as “eager researchers.” This suggested that these incentives were effective. From the policy viewpoint, although we should not increase research funds without consideration, it is undeniable that getting funds promotes the researchers’ cooperation with society (industry), which in turn helps secure greater funds. “Reflection to research funds (importance)” should be regarded as a motive or trigger, although we should prevent excessive concentration.