Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10251092 | Forest Policy and Economics | 2005 | 11 Pages |
Abstract
During the 1980s Norway was troubled with overcapacity in the agricultural sector. The rural development support scheme (RDSS) was introduced. Farmers were encouraged to invest in forestry-related projects and rural business. More than 15 evaluations of the RDSS are undertaken, all of them having severe methodological weakness. The following study introduces a new tool, when analyzing a public support scheme like the RDSS in Norway. Data envelopment analysis (DEA) is a multi-input, multi-output optimization model used to measure relative efficiency of the best practice counties. The analysis is a two-stage study. In step one, it is found that 13 of the 18 (72%) counties in Norway are generating less output in the form of employment from a given level of the RDSS-budget than technically possible. In step two, a reallocation of the budget is shown for the purpose of maximizing the output of job establishments in rural Norway. The DEA is seen as a useful tool in measuring the efficiency of the RDSS at regional level in Norway.
Related Topics
Life Sciences
Agricultural and Biological Sciences
Forestry
Authors
Birger Vennesland,