This study applied a logistic regression model to determine the odds ratio of selecting clean ver- sus unclean energy … household fuel energy choice. A large microeconomic dataset from KIPPRA's comprehensive study and analysis on fuel use patterns … efficient appliances should be made available at affordable rates to en- sure more efficient use of these forms of clean energy. …

The purpose of this paper is to introduce a modification of a standard four input production process where energy is … used in an inefficient way due to partly unnecessary waste of energy. In this production process, R&D investment is an … additional input in order to improve energy efficiency. It closes the gap between energy purchased and energy used effectively …

the absence of certificate auctioning, energy-intensive industry sectors, such as primary aluminum production, may suffer … auctioning system may endanger the competitive position of energy-intensive industries in Europe, unless all other major …

household residential energy usage at the national level, containing the broadest geographical coverage, and with the longest … find strong household response to energy prices, both in the short and long term. From the static models, we get estimates … small. These results are in sharp contrast to much of the literature on residential energy consumption in the United States …

This paper describes final energy demand for different fuels at a disaggregated level of 12 activities of the economy … plus households. The model used combines single equations for total final energy demand with translog functions for inter …. At the stage of total energy demand this fixed input is the capital stock (where technology is embodied). At the stage of …