Abstract
This research uses Data Envelopment Analysis (DEA) to evaluate energy technology projects in Taiwan. Collecting empirical data from several such projects, we develop a model and an integrated framework for the evaluation of such projects. Both cross-sectional and longitudinal studies are conducted. Cross-sectional analysis is used to evaluate the efficiency of technology projects within the same year; longitudinal analysis is used to evaluate the overall trend of technology projects and the performances of cross-period technology projects that last for several years. Through cross-sectional analysis, we identify the efficiently run projects from the sub-efficient ones and determine how the latter ones might be improved. Through longitudinal analysis, we evaluate the overall trend of technology projects that last several years. Hopefully, our analysis will serve as a reference for project leaders and management who wish to monitor and control their technology projects.
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Yuan, B., Huang, JN. (2002). Applying Data Envelopment Analysis to Evaluate the Efficiency of R&D Projects — A Case Study of R&D in Energy Technology. In: Thore, S.A. (eds) Technology Commercialization. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1001-7_8
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DOI: https://doi.org/10.1007/978-1-4615-1001-7_8
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