Factors Influencing the Diffusion of Electric Arc Furnace Steelmaking Technology.
ABSTRACT In this paper, the adoption of electric arc furnace steelmaking technology is examined within a growth model of technological diffusion. The results indicate that the trend rate of adoption of electric are furnace technology is well represented by the S-shaped growth curve. Further results indicate that the trend rate of adoption is, for the most part, stable with respect to locally changing factors to production, such as input prices and activity levels. It appears that inertial aspects have an overwhelming influence on the diffusion process.
- SourceAvailable from: Matthias Ruth[Show abstract] [Hide abstract]
ABSTRACT: Market-based climate change policy instruments have frequently been proposed as efficient means to stimulate industrial energy efficiency improvements and to reduce carbon emissions. This paper presents an assessment of the impacts that energy taxes and policies that increase cost of carbon may have on energy use and emission profiles of the US iron and steel industry. Time series data and engineering information are combined to endogenously specify changes in technologies, fuel mix, and production processes within a dynamic computer model. The results of the model indicate that energy taxes are likely to shift a slightly larger share of production to the electric arc furnace route and reduce total energy use more than combarable climate change policies that raise costs of carbon. However, both energy taxes and costs of carbon will result in a similar decrease in carbon emissions when compared to the absence of those policies.Energy Sources 04/2000; 22(3). · 0.54 Impact Factor
- [Show abstract] [Hide abstract]
ABSTRACT: Conventional economic modeling of energy demand has characterized technological choice as an investment decision driven primarily by the relationship between capital costs and operating costs. Yet the implementation of this approach has tended to yield unrealistically high estimates of the implicit discount rate governing investment decisions, particularly those involving energy efficient technologies. This result arises from incomplete specification of the process of technological choice and the diffusion of innovations. General models of diffusion include conventional costs as one set of factors among many others that influence the spread of new technologies. These more general models have been widely applied to the adoption of other new or improved products, and their use in energy demand forecasting would lead to more accurate and reliable projections. Modification of the forecasts would have policy implications. In particular, the cost of a strategy to reduce greenhouse gas emissions by encouraging more rapid diffusion of energy efficient technologies is likely to be considerably smaller than would be suggested by the conventional economic models.Technological Forecasting and Social Change - TECHNOL FORECAST SOC CHANGE. 01/1997; 55(3):249-263.
- [Show abstract] [Hide abstract]
ABSTRACT: The typical focus of diffusion analysis on one new technology and patterns of its evolution in time tends to neglect important features of technological evolution such as the dynamics of technological competition and the importance of the institutional framework. This is particularly so for cleaner technologies which have to compete with well established technologies and of which diffusion dynamics are related to environmental policy, too. In this paper a new conceptual approach to innovation diffusion building on insights of evolutionary economic theory is proposed and applied to a case study on the diffusion of a cleaner ironmaking technology.Journal of Cleaner Production 01/2008; 16(1). · 3.59 Impact Factor