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This study analyzes the determinants of employment in agriculture, forestry, and fisheries, and the degree of satisfaction with jobs in the industries by using data from the Graduates Occupational Mobility Survey. The Logit model is used to analyze factors affecting young college graduates' choice of employment in agriculture, forestry, and fisheries. The Ordered Probit model is used to analyze factors influencing overall job satisfaction of agriculture, forestry, and fisheries. Results indicate that graduates from agricultural colleges have a higher probability of employment in agriculture, forestry, and fisheries. When their spouses' vocation is related to agriculture, forestry, and fisheries, they are more likely to engage in the industries. The higher the likelihood of their aptitude and interest are or the brighter the future prospects for agriculture are, the higher the probability of employment in agriculture forestry, and fisheries is. The higher the satisfaction of wage or income, job stability, and working hours, the larger overall job satisfaction is. In addition, the higher the satisfaction of job-related education or training is, the higher overall job satisfaction is. Consequently, higher education institutions need to provide on-site education and training related to agriculture, forestry, and fisheries. |
