Productivity development of Norwegian electricity distribution utilities

When regulating electricity distribution utilities, estimates of the past productivity improvement performance are very important for future requirements. A piecewise linear frontier technology, reflecting observed best practice, accommodating the multi-output nature of distribution utilities is specified. A Malmquist index and its components, shift in frontier technology and change in efficiency, have been calculated for the period 1983 to 1989. The main results are a positive productivity growth averaging nearly 2% per year, and that this is mainly due to frontier technology shift. Outliers are scrutinised, but do not influence results for non-outliers.

Does Increased Extraction of Natural Gas Reduce Carbon Emissions?

Without an international climate agreement, extraction of more natural gas could reduce emissions of CO2 as more “clean” natural gas may drive out “dirty” coal and oil. Using a computable equilibrium model for the Western European electricity and natural gas markets, we examine whether increased extraction of natural gas in Norway reduces global emissions of CO2. We find that both in the short run and in the long run total emissions are reduced if the additional quantity of natural gas is used in gas power production in Norway. If instead the additional quantity is exported directly, total emissions increase both in the short run and in the long run. However, if modest CO2-taxes are imposed, increased extraction of natural gas will reduce CO2 emissions also when the additional natural gas is exported directed.natural gas; carbon; emissions; Norway; envirnoment; CO2

Productivity of Tax Offices in Norway

The performance of local tax offices of Norway is studied over a three-year period using Data Envelopment Efficiency analysis and calculating Malmquist productivity indices. One input, labour, is used, and six output categories of the main service activities carried out by tax offices are specified. A bootstrap approach recently developed for DEA models is applied to establish confidence intervals for the individual indices enabling an identification of units that have either significant productivity decline or growth, or no change. A specially developed graphic display gives a visual test and grouping into the three possible categories. Looking at change in labour use and productivity change together the productivity development of individual offices is classified into the four categories efficient labour increase, efficient labour savings, inefficient labour savings and inefficient labour increase.Tax office; Malmquist productivity index; DEA; bootstrap