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This paper presents an econometric estimation of the "rebound effect" for household vehicle travel in the United States based on analysis of survey data collected by the Energy Information Administration (EIA) at approximately three-year intervals over a 15-year period. The rebound effect measures the tendency to "take back" potential energy savings from fuel economy improvements as increased travel. Vehicle use models were estimated for one-, two-, three-, four-, and five-vehicle households. The results confirm recent estimates based on national or state-level data: a long-run "take back" of about 20 percent of potential energy savings. Consumer responses to changes in fuel economy or fuel price per gallon appear to be equal and opposite in sign. Recognizing the interdependencies among miles of travel, fuel economy and price is key to obtaining meaningful results. AbstractThis paper reports on an analysis of productivity growth and input trends in six energy intensive sectors of the Indian economy, using growth accounting and econometric methods. The econometric work estimates rates and factor price biases of technological change using a translog production model with an explicit relationship defined for technological change. Estimates of own-price responses indicate that raising energy prices would be an effective carbon abatement policy for India. At the same time, our results suggest that, as with previous findings on the U.S. economy, such policies in India could have negative long-run effects on productivity in these sectors. Inter-input substitution possibilities are relatively weak, so that such policies might have negative short-and medium-term effects on sectoral growth. Our study provides information relevant for the analysis of costs and benefits of carbon abatement policies applied to India and thus contributes to the emerging body of modeling and analysis of global climate policy. AbstractIn China, between 1978 and 1995, energy use per unit of GDP fell by 55 percent. There has been considerable debate about the major factors responsible for this dramatic decline in the energy-output ratio. In this paper we use the two most recent input-output tables to decompose the reduction in energy use into technical change and various types of structural change, including changes in the quantity and composition of imports and exports. In performing our analysis we are forced to deal with a number of problems with the relevant Chinese data and introduce some simple adjustments to improve the consistency of the input-output tables. Our mail conclusion is that between 1987 and 1992, technical change within sectors accounted for most of the fall in the energy-output ratio. Structural change actually increased the use of energy. An increase in the import of some energy-intensive products also contributed to the decline in energy intensity. Pages 93-121Abstract Technological progress, energy use, energy intensity, and carbon mitigation are tightly intertwined concepts within the worldwide climate change debate. The s...