Light-duty vehicles and external impacts: Product- and policy-performance assessment

Abstract In order to demonstrate that welfare theory can be put into practice, mathematical-programming methods are used here which can handle the aggregation problems facing us when information concerning the relative valuation of external factors (emissions, safety risks, non-renewable-energy use, noise, etc.) is highly uncertain. Product- and policy-performance measures are presented and then applied to one-time-period real data on the single, perhaps most welfare-affecting man-made consumer product of the 20th century: light-duty vehicles (LDVs). The focus when examining costs imposed on society due to individuals' (or other economic units') purchase and use of LDVs is here the total external cost from the choice of LDV technology. The relative weights of the external factors are then determined endogenously by (first) using, for each LDV model, the (unconstrained) set of weights most favorable to itself. The flexibility of the relative weights is then constrained according to assumed knowledge about “true” external relative costs. By this procedure it is possible to aggregate the multiple societal-impact factors of LDVs and thus to measure the total external impact of individual LDV-models relative to current best-practice technology.

[1]  Svante Ylvinger,et al.  Industry performance and structural efficiency measures: Solutions to problems in firm models , 2000, Eur. J. Oper. Res..

[2]  Russell G. Thompson,et al.  The role of multiplier bounds in efficiency analysis with application to Kansas farming , 1990 .

[3]  Paul Ekins,et al.  Limits to Growth and Sustainable Development: Grappling with Ecological Realities , 1993 .

[4]  Francisco Pedraja-Chaparro,et al.  On the Role of Weight Restrictions in Data Envelopment Analysis , 1997 .

[5]  James Meade The Theory Of Economic Externalities , 1951 .

[6]  Lawrence M. Seiford,et al.  Data envelopment analysis: The evolution of the state of the art (1978–1995) , 1996 .

[7]  S Ylvinger ON REGULATING LIGHT-DUTY VEHICLE TECHNOLOGY: FEASIBLE INSTRUMENTS NOT EASILY CAPTURED , 2000 .

[8]  John Ruggiero,et al.  On the measurement of technical efficiency in the public sector , 1996 .

[9]  Christos Papahristodoulou,et al.  A DEA model to evaluate car efficiency , 1997 .

[10]  Leslie Rosenthal,et al.  The growth and efficiency of public spending , 1988 .

[11]  Raymond Frech Mikesell,et al.  Economic Development and the Environment: A Comparison of Sustainable Development with Conventional Development Economics , 1992 .

[12]  E. Barbier,et al.  Blueprint for a green economy , 1989 .

[13]  R. Shephard Cost and production functions , 1953 .

[14]  Charles K. Wilber,et al.  The political economy of development and underdevelopment , 1973 .

[15]  B. Golany,et al.  Controlling Factor Weights in Data Envelopment Analysis , 1991 .

[16]  速水 保 James E. Meade, The Theory of Economic Externalities the Control of Environmental Pollution and Similar Social Costs, 1973., A. W. Sijthoff-Leiden., Institut Universitaire de Hautes Etudes Internationales, Geneve , 1975 .

[17]  John E. Beasley,et al.  Restricting Weight Flexibility in Data Envelopment Analysis , 1990 .

[18]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[19]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[20]  R. Dyson,et al.  Reducing Weight Flexibility in Data Envelopment Analysis , 1988 .

[21]  Richard B. Norgaard,et al.  Environmental valuation under sustainable development , 1992 .

[22]  Todd Sandler,et al.  EASY RIDERS, JOINT PRODUCTION, AND PUBLIC GOODS* , 1984 .

[23]  S. Lele Sustainable development: A critical review , 1991 .

[24]  W. E. G. Salter,et al.  Productivity and Technical Change. , 1961 .