Dynamic Technology Modelling (Project A3 of SFB 823)
The aim of this project is to improve the modeling of production technologies so that production capacities, outputs and technological possibilities that change over time are adequately taken into account. For this purpose, non-parametric methods such as Data Envelopment Analysis (DEA) or the new semi-parametric method of Stochastic Non-smooth Envelopment of Data (StoNED) are used. Against the background of the energy transition and the associated expansion of electricity grids, the application of such methods of efficiency estimation to practical examples is a constantly growing field of research, for example in the incentive regulation of distribution and transmission grids for electricity. In addition, the non-parametric estimation of substitution relationships using DEA methods, which was started in the current funding phase, is to be optimized. In particular, newly developed partial frontier methods for the identification of outliers and smoothing methods are to be applied in order to enable the estimation of classic substitution relationships.
Publications
Project start:
01. July 2009
Project end:
31. December 2021
Project management:
Prof. Dr. Manuel Frondel,
Prof. Dr. Dr. h. c. Christoph M. Schmidt
Project staff:
Prof. Dr. Mark A. Andor,
Harald Tauchmann, Prof. Colin Vance Ph.D.
Project partners:
Technische Universität Dortmund,
Hochschule Bochum
Funding:
Deutsche Forschungsgemeinschaft