Modeling corner solutions with panel data: Application to the industrial energy demand in France

This paper provides an empirical application of Lee and Pitts (1986) approach to the problem of corner solutions in the case of panel data. This model deals with corner solutions in a manner consistent with the firm behavior theory while controlling for unobserved heterogeneity. In this model, energy demand at industrial plant level is the result of a discrete choice of the type of the energy to be consumed and a continuous choice that defines the level of demand. The econometric model is, essentially, an endogenous switching regime model which requires the evaluation of multivariate probability integrals. We estimate the random effect model by maximum likelihood using a panel of industrial French plants from the paper and pulp industry. We calculate empirical price elasticities of energy demand from the model. We also study the effects on energy demand of an environmental policy aimed at reducing CO₂ emissions. The authors are grateful to the Institut Français de eEnergie for its financial support and to the SESSI for providing the data. We would like to thank two anonymous referees for useful comments and suggestions. the usual disclaimer applies.     

Inter-fuel substitution,technical change and the demand for energy in the UK economy

A model for energy demand, based on a translog cost function is formulated. Unlike previous studies, technical progress is modelled by means of stochastic, as opposed to deterministic, trend components. The model is estimated using quarterly UK data for four economic sectors, and forecasts of the future level of demand are made.     

A model of technological breakthrough in the renewable energy sector

Models with induced technological change in the energy sector often predict a gradual expansion of renewable energies, and a substantial share of fossil fuels remaining in the energy mix through the end of our century. However, there are historical examples where new products or technologies expanded rapidly and achieved a high output in a relatively short period of time. This paper explores the possibility of a ‘technological breakthrough’ in the renewable energy sector, using a partial equilibrium model of energy generation with endogenous R&D. Our results indicate, that due to increasing returns-to-scale, a multiplicity of equilibria can arise. In the model, two stable states can coexist, one characterized by a lower and one by higher supply of renewable energy. The transition from the low-output to the high-output equilibrium is characterized by a discontinuous rise in R&D activity and capacity investments in the renewable energy sector. The transition can be triggered by a rise in world energy demand, by a drop in the supply of fossil fuels, or by policy intervention. Under market conditions, the transition occurs later than in the social optimum. Hence, we identify a market failure related to path-dependence and technological lock-in, that can justify a strong policy intervention initially. Paradoxically, well-intended energy-saving policies can actually lead to higher emissions, as they reduce the incentives to invest in renewable energies by having a cushioning effect on the energy price. Hence, these policies should be supplemented by other instruments that restore the incentives to invest in renewable energies. Finally, we discuss the influence of monopoly power in the market for innovations. We show that market power can alleviate the problem of technological lock-in, but creates a new market failure that reduces static efficiency.     

A demand system for input factors when there are technological changes in production

In a system with n input factors there are n − 1 independent cost shares. An often-used approach in estimating factor demand systems is to (implicitly or explicitly) assume that there is a (independent) cointegrating relationship for each of the n − 1 independent cost shares. However, due to technological changes, there might not be as many cointegrating relationships as there are (independent) cost shares. This article presents a flexible demand system that allows for both factor neutral technological changes as well as technological changes that affect the relative use of the different factors. The empirical tests indicate that there are fewer cointegrating relationships than usually implied using conventional estimation approaches. This result is consistent with technological changes that affect the relative use of the different input factors. I argue that, since such unexplained technological changes are likely to affect input factor decisions, a demand system that allows for such changes should be preferred.     

Endogenous technological change: a note on stability

Summary. This paper demonstrates that the steady-state solution of the optimal-growth problem in Romer's (1990) model of endogenous technological change is globally saddle-point stable. Surprisingly, the proof of this result is trivial. Interest in the optimal growth path is justified by the fact that there is a (unique) combination of production and R&D subsidies by means of which the optimal growth path is attained as a market equilibrium. Received: October 6, 1998; revised version: April 19, 1999     

A functional approach for studying technological progress: Extension to energy technology

This paper extends a broad functional category approach for the study of technological capability progress recently developed and applied to information technology to a second key case—that of energy based technologies. The approach is applied to the same three functional operations—storage, transportation and transformation—that were used for information technology by first building a 100 plus year database for each of the three energy-based functional categories. In agreement with the results for information technology in the first paper, the energy technology results indicate that the functional approach offers a stable methodology for assessing longer time technological progress trends. Moreover, similar to what was found with information technology in the first study, the functional capability for energy technology shows continual—if not continuous—improvement that is best quantitatively described as exponential with respect to time. The absence of capability discontinuities—even with large technology displacement—and the lack of clear saturation effects are found with energy as it was with information. However, some key differences between energy and information technology are seen and these include:

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Lower rates of progress for energy technology over the entire period: 19-37% annually for Information Technology and 3-13% for Energy Technology.

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Substantial variability of progress rates is found within given functional categories for energy compared to relatively small variation within any one category for information technology. The strongest variation is found among capability progress among different energy types.

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More challenging data recovery and metric definition for energy as compared to information technology.

These findings are interpreted in terms of fundamental differences between energy and information including the losses and efficiency constraints on energy. We apply Whitney's insight that these fundamental differences lead to naturally modular information technology artifacts. The higher progress rates of information-based as opposed to energy-based technologies follows since decomposable systems can progress more rapidly due to the greater ease of independent as opposed to simultaneous development. In addition, the broad implications of our findings to studies of the relationships between technical and social change are briefly discussed.     

The state of technological and social change: Impressions

As the long-wave theory has predicted, we are seeing a period of consolidation in which the pace of radical technological innovation seems exceeded by the pace of social change. Peter Drucker's dictum, that technology changes faster than society, appears now to have been reversed. The article offers research and anecdotal support for these assertions, linking them to specific trends and trend interactions, including patents and intellectual property litigation, new product development, and politics and revolution.     

A dynamic econometric model of Thailand manufacturing energy demand

The purpose of this article is to employ the dynamic translog framework to model inter-factor and inter-fuel energy demand for the Thai manufacturing sector. The Denny et al. (1981) and Lynk (1989) framework, which proposes a dynamic adjustment for capital stock is employed to motivate the estimated of factor demand and fuel share equations. Three factors: energy, labour and capital; and five fuel types: fuel oil, diesel oil, liquified petroleum gas (LPG), electricity, and coal and lignite; are examined. Regression diagnostics support the empirical specification. Numerous factor and fuel substitution possibilities are identified, with some policy implications described.     

The empirical analysis of the determinants for environmental technological change: A research agenda

Technological change is usually considered a necessary albeit not sufficient condition for a transition to sustainability. However, the empirical analysis of the determinants to environmental technological change has not received too much attention in the environmental/ecological economics literature and many open questions remain in this context. Based on a careful review of the literature, this paper argues that further analysis should address several issues at different levels: i.e., regarding the conceptual framework, the thematic scope of the studies, some methodological issues and other aspects related to the environmental policy variable. First, an integrated conceptual framework which takes into account the interplay between relevant variables influencing environmental technological change (i.e., factors internal and external to the firm and characteristics of the environmental technologies) and all the stages of this process, with a greater emphasis on the invention stage, should be developed. Other aspects should then be tackled, including a focus on several themes (i.e., a greater attention to cross-sectoral technologies, the barriers to different types of environmental technologies, the international dimension of environmental technological change and environmental technological change in small and medium size enterprises), methodological issues (combination of case studies and econometric modelling) and several issues related to the environmental policy variable.     

Determinants of technological change in the service industries

The Service Industries provide numerous examples of how technological change may be impeded. Either the economic state of the industry or the state of scientific and engineering knowledge can limit inventive activity and productivity advance. Consumer ignorance, lack of producer incentives, complex production interdependencies, and market fragmentation are only a few factors limiting the role of demand in stimulating the discovery and diffusion of new services and production techniques. On the cost side, technical uncertainty, time horizons, and discount rates affect decisions to engage in R & D. In addition, strategic market considerations, such as potential entry, reaction speeds of rivals, and numbers of competitors affect the benefits from early introduction of new technologies. These institutional and economic considerations need to be taken into account for technological forecasting related to the Service Industries.     

People, cities, growth and technological change : From the golden age to globalization

The concept of economic development appeared during the postwar period as the basis and the source of a very strong hope of eradicating extreme poverty from the face of the Earth. All along the three first decades of this period—the second half of the 20th century—this promise did not seem questionable. It was thought that there were clear signs that material progress reaching larger sectors of the population and economic growth were parallel processes, linked to urbanization. A new style was thus established—that of modern large cities. However, the dynamics of this period appears to be strongly associated with the economic activity related to the basic construction of one's own lifestyle. The effects of structural market saturation and the limits of the redistribution of income began to be noticed in as far back as the end of the 1960s, and even more clearly so towards the end of the 1970s. That was the moment when population growth in the megalopolises and large cities in general began to become stable and even to decline in absolute value. It was also the time when the acceleration of technological innovation began to play a major role in development policies, while low social inclusion and marginalization problems became evident. This paper delves into this hypothesis on the basis of ample empirical evidence. Numerous conclusions are drawn from the analysis, which are useful for a serious restatement of the controversial issue of Sustainable Development.     

A review of experience curve analyses for energy demand technologies

Transitioning towards a sustainable energy system requires the large-scale introduction of novel energy demand and supply technologies. Such novel technologies are often expensive at the point of their market introduction but eventually become cheaper due to technological learning. In order to quantify potentials for price and cost decline, the experience curve approach has been extensively applied to renewable and non-renewable energy supply technologies. However, its application to energy demand technologies is far less frequent. Here, we provide the first comprehensive review of experience curve analyses for energy demand technologies. We find a widespread trend towards declining prices and costs at an average learning rate of 18 ± 9%. This finding is consistent with the results for energy supply technologies and for manufacturing in general. Learning rates for individual energy demand technologies are symmetrically distributed around the arithmetic mean of the data sample. Absolute variation of learning rates within individual technology clusters of 7 ± 4%-points and between technology clusters of 7 ± 5%-points both contribute to the overall variability of learning rates. Our results show that technological learning is as important for energy demand technologies as it is for energy supply technologies. Applying the experience curve approach to forecast technology costs involves, however, unresolved uncertainties, as we demonstrate in a case study for the micro-cogeneration technology.     

Endogenized technological learning in an energy systems model

Technology dynamics is endogenized into a bottom-up energy systems model. Mixed integer programming is used to incorporate into the model the non-convex relation between declining specific investment in energy technologies and overall experience or capacities installed. The initial results achieved with this approach show the importance of early investment in new technology developments. New technologies will not become cheaper irrespective of research, development, and demonstration (RD & D) decisions; they will do so only if determined RD&D policies and investment strategies enhance their development.     

Policy trade-off in the long run: A new Keynesian model with technological change and money growth

In this study, we introduce a constant rate of technological change and money growth into the standard new Keynesian model, in which both prices and nominal wages are supposed to be sticky. Using such a model, we examine whether a policy trade-off exists between curbing inflation and stabilizing the welfare-relevant output gap in the steady state. If we take only price stickiness into consideration, a policy trade-off does not occur. However, if both nominal wage stickiness and price stickiness are taken into consideration, a policy trade-off occurs.     

Lock-in and break-out from technological trajectories: Modeling and policy implications

The prevailing models explaining how technologies develop along a specific trajectory largely focus on the circumstances that lead to technological lock-in. We contribute substantially to this area of research by investigating the circumstances under which technological development may break-out of a trajectory. We argue that for this to happen, a third selection mechanism—beyond those of the market and of technology—needs to upset the lock-in. We model the interaction, or mutual shaping among three selection mechanisms, and thus this paper also allows for a better understanding of when a technology will lock-in into a trajectory, when a technology may break-out of a lock-in, and when competing technologies may co-exist in a balance. As a system is conceptualized to gain a (third) degree of freedom, the possibility of bifurcation is introduced into the model. The equations, in which interactions between competition and selection mechanisms can be modeled, allow one to specify conditions for lock-in, competitive balance, and break-out.     

What really matters: Discounting, technological change and sustainable climate

This paper discusses the interplay between the choice of the discount rate, greenhouse gas mitigation and endogenous technological change. Neglecting the issue of uncertainty it is shown that the Green Golden Rule stock of atmospheric carbon is uniquely determined, but is not affected by technological change. More generally it is shown analytically within the framework of a reduced model of integrated assessment that the optimal stationary stocks of atmospheric carbon depend on the choice of the discount rate, but are independent of the stock of technological knowledge. These results are then reinforced numerically in a fully specified integrated assessment analysis.     

Prometheus rebound: An inquiry into technological growth and psychological change

Western Man's philosophy of power over nature has led to the present excesses of technology. The technological environment in turn, has had profound and questionable influence on the human physiological and psychological organism—resulting frequently in both personal and social breakdown. The body-mind needs a new kind of nurturing and educational process involving the potentiation of latent human capacities if it is to successfully withstand and recreate the technological process, as well as facilitate a more humane use of human beings.     

Understanding errors in EIA projections of energy demand

This paper investigates the potential for systematic errors in the Energy Information Administration's (EIA) widely used Annual Energy Outlook, focusing on the near- to mid-term projections of energy demand. Based on analysis of the EIA's 22-year projection record, we find a fairly modest but persistent tendency to underestimate total energy demand by an average of 2 percent per year after controlling for projection errors in gross domestic product, oil prices, and heating/cooling degree days. For 14 individual fuels/consuming sectors routinely reported by the EIA, we observe a great deal of directional consistency in the errors over time, ranging up to 7 percent per year. Electric utility renewables, electric utility natural gas, transportation distillate, and residential electricity show significant biases on average. Projections for certain other sectors have significant unexplained errors for selected time horizons. Such independent evaluation can be useful for validating analytic efforts and for prioritizing future model revisions.