The adoption decision: a human capital approach

Thumbnail Image
Wozniak, Gregory
Major Professor
Committee Member
Journal Title
Journal ISSN
Volume Title
Research Projects
Organizational Units
Organizational Unit

The Department of Economic Science was founded in 1898 to teach economic theory as a truth of industrial life, and was very much concerned with applying economics to business and industry, particularly agriculture. Between 1910 and 1967 it showed the growing influence of other social studies, such as sociology, history, and political science. Today it encompasses the majors of Agricultural Business (preparing for agricultural finance and management), Business Economics, and Economics (for advanced studies in business or economics or for careers in financing, management, insurance, etc).

The Department of Economic Science was founded in 1898 under the Division of Industrial Science (later College of Liberal Arts and Sciences); it became co-directed by the Division of Agriculture in 1919. In 1910 it became the Department of Economics and Political Science. In 1913 it became the Department of Applied Economics and Social Science; in 1924 it became the Department of Economics, History, and Sociology; in 1931 it became the Department of Economics and Sociology. In 1967 it became the Department of Economics, and in 2007 it became co-directed by the Colleges of Agriculture and Life Sciences, Liberal Arts and Sciences, and Business.

Dates of Existence

Historical Names

  • Department of Economic Science (1898–1910)
  • Department of Economics and Political Science (1910-1913)
  • Department of Applied Economics and Social Science (1913–1924)
  • Department of Economics, History and Sociology (1924–1931)
  • Department of Economics and Sociology (1931–1967)

Related Units

Journal Issue
Is Version Of

The decision to adopt technological innovations was analyzed. A rate of adoption (adjustment) model was transposed into a single period model of the adoption decision. The decision to adopt was specified as an adjustment to a disequilibrium in the "optimal" set of inputs. The probability of adoption was determined by the level of innovative ability and the scale of production. Education, experience, and the availability of information were hypothesized to be measurable dimensions of innovative ability;The empirical results show that increases in education and information enhance innovative ability, and thereby raise the probability of adoption. Operators with more education and those who acquire more information about the use of new products and procedures are more aware of innovative factors of production, are more efficient evaluating the productive characteristics and costs of those innovations, and are more likely to adjust their utilized set of inputs through adoption. The estimated effect of increases in experience, however, did not support the hypothesis of the innovative ability model of adoption. The results also showed that operators are more cognizant of innovative factors when they can be applied in the larger scale activities of the operation. Also, scale economies in the usage of information exist, but the benefits realized by the average operator were small in relation to the potential benefits provided by larger scales of production. The results, however, did not indicate, either because of limitations of the data or the model, that the economic variables which are measurable dimensions of innnovative ability substitute for or complement each other's contribution to innovative efficiency. The results also suggest that if an innovation can be employed along with current inputs it is more likely to be adopted than if it displaces currently utilized inputs.

Subject Categories
Tue Jan 01 00:00:00 UTC 1980