Climate change policies and capital vintage effects: the cases of US pulp and paper, iron and steel, and ethylene.

Changes in material use, energy use and emissions profiles of industry are the result of complex interrelationships among a multitude of technological and economic drivers. To better understand and guide such changes requires that attention is paid to the time-varying consequences that technology and economic influences have on an industry's choice of inputs and its associated (desired and undesired) outputs. This paper lays out an approach to improving our understanding of the dynamics of large industrial systems. The approach combines engineering and econometric analysis with a detailed representation of an industry's capital stock structure. A transparent dynamic computer modeling approach is chosen to integrate information from these analyses in ways that foster participation of stakeholders from industry and government agencies in all stages of the modeling process-from problem definition and determination of system boundaries to generation of scenarios and interpretation of results. Three case studies of industrial energy use in the USA are presented-one each for the iron and steel, pulp and paper, and ethylene industry. Dynamic models of these industries are described and then used to investigate alternative carbon emissions and investment-led policies. A comparison of results clearly points towards two key issues: the need for industry specific policy approaches in order to effectively influence industrial energy use, fuel mix and carbon emissions, and the need for longer time horizons than have typically been chosen for the analysis of industrial responses to climate change policies.

[1]  C. Bullard,et al.  Energy impact of consumption decisions , 1975, Proceedings of the IEEE.

[2]  T. Chang WORLDWIDE ETHYLENE CAPACITY GROWS IN SPITE OF WARNINGS , 1998 .

[3]  Stephen H. Schneider,et al.  Induced technological change and the attractiveness of CO2 abatement policies , 1999 .

[4]  T. Breurch,et al.  A simple test for heteroscedasticity and random coefficient variation (econometrica vol 47 , 1979 .

[5]  Matthias Ruth,et al.  Dynamics of Material and Energy Use in U.S. Pulp and Paper Manufacturing , 1997 .

[6]  Michael Matthies,et al.  Integrative systems approaches to natural and social dynamics : system sciences 2000 , 2001 .

[7]  M. Hofkes,et al.  Explaining the energie-efficiency paradox: a vintage model with returns to diversity and learning-by-using , 2000 .

[8]  T. Breusch TESTING FOR AUTOCORRELATION IN DYNAMIC LINEAR MODELS , 1978 .

[9]  Minh Ha Duong,et al.  Decision making under uncertainty and inertia constraints: sectoral implications of the when flexibility , 1998 .

[10]  M. Ruth Dynamic Modeling for Consensus Building in Complex Environmental and Investment Decision Making , 2001 .

[11]  Mark Doms ESTIMATING CAPITAL EFFICIENCY SCHEDULES WITHIN PRODUCTION FUNCTIONS , 1996 .

[12]  E. Worrell,et al.  Energy use and energy intensity of the U.S. chemical industry , 2000 .

[13]  Ernst Worrell,et al.  Opportunities to improve energy efficiency and reduce greenhouse gas emissions in the U.S. pulp and paper industry - eScholarship , 2000 .

[14]  A. Zellner An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias , 1962 .

[15]  Bruce M. Hannon System energy and recycling : a study of the beverage industry , 1973 .

[16]  L. Goulder,et al.  Effects of Carbon Taxes in an Economy with Prior Tax Distortions: An Intertemporal General Equilibrium Analysis , 1995 .

[17]  R. Solow TECHNICAL CHANGE AND THE AGGREGATE PRODUCTION FUNCTION , 1957 .

[18]  Matthias Ruth,et al.  Vintage structure dynamics and climate change policies: the case of US iron and steel , 2002 .

[19]  I. Wing,et al.  Adjustment Time, Capital Malleability and Policy Cost , 1999 .

[20]  W. Arthur,et al.  Increasing Returns and Path Dependence in the Economy , 1996 .

[21]  M Ross Efficient energy use in manufacturing. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[22]  Brynhildur Davidsdottir,et al.  Carbon emissions from U.S. ethylene production under climate change policies. , 2002, Environmental science & technology.