The Effect of Fuel Price Changes on Fleet Demand for New Vehicle Fuel Economy

New vehicle purchases by private companies and government agencies, or ‘fleet’ buyers, represent a significant percentage of overall new vehicle sales in the United States. Yet little is known about fleet demand for new vehicle fuel economy including how it responds to fuel price changes. Using unique disaggregated data on fleet and household registrations of new vehicles from 2009 to 2016, we estimate how fleet demand for new vehicle fuel economy responds to fuel price changes. We find that fleet purchases of low fuel economy vehicles fall relative to high fuel economy vehicles when gasoline prices increase, a finding that is consistent with fleet buyers’ taking into account capitalization of fuel costs in the second‐hand market. Our estimates imply that raising gasoline prices by one dollar would increase fuel economy of new vehicles acquired by fleet buyers by 0.33 miles per gallon. We estimate a similar response for household buyers during the same period. This result justifies basing fuel economy responses to fuel cost changes on household data alone, an assumption widely used in the vehicle demand literature and the fuel economy valuation literature. We also find, however, that the response to fuel price changes varies across the types of fleet buyers: rental companies respond strongly to fuel price changes, whereas commercial and government buyers are insensitive. Our estimates imply that an increase in the federal gasoline tax would modestly increase fuel economy of vehicles bought by households and rental companies but would have little to no impact on fuel economy of vehicles bought by non‐rental companies and governments.     

Implications of variant efficiency measures for policy evaluations in UK higher education

Policy goals in UK higher education encourage the publicly funded universities to become more-specialised and larger in size without compromising output quality. Efficiency gains are expected to flow from this increased specialisation in accordance with universities’ comparative research and teaching strengths. Mergers to reap further gains from economies of scale are also being actively encouraged. Given this scenario, the paper investigates whether best-practice efficiency measurement based on data envelopment analysis (DEA) provides empirical support for the current policy goals. It also assesses whether such support is dependent on the specific type of efficiency measure used in the DEA modelling. This assessment finds that a selection of (nine) commonly used, variant efficiency measures generally support the current policy goals. The paper also uses the principal-agent framework to explore the issues involved in using computed DEA-based efficiency scores for policy evaluations and possible funding guidance in UK higher education. This highlights empirically how policy-makers and universities can have very different preferences about which efficiency measure is to be used for policy evaluations and possible funding guidance.     

The composite cost function and efficiency in giant Japanese banks

This study provides further empirical investigation, in the context of giant Japanese banks, of the recent claim by Pulley and Braunstein (1992, A composite cost function for multiproduct firms with an application to economies of scope in banking, Review of Economics and Statistics 74, 221–230), that their new composite model for the multiproduct cost function has important advantages over the separable quadratic, generalized translog and standard translog models. In addition to assessing the composite model's relative ability in measuring global scope and scale economies, the study also extends the P-B analysis to assess measurement of product-specific scope and scale economies, pairwise cost complementarities between outputs, changes in the marginal costs of outputs and technological change. The results appear to confirm P-B's chain. The persistent finding of scale economies for large Japanese banks is also investigated and confirmed.     

Attending to inattention: Identification of deadweight loss under nonsalient taxes

Recent developments in behavioral public economics have shown that heterogeneous biases prevent point identification of deadweight loss. We replicate this result for an arbitrary (closed) consumption set, whereas previous results on heterogeneous attention focused on binary choice. We find that one can bound the efficiency costs of taxation based on aggregate features of demand. When individuals have linear demand functions, the bounds for deadweight loss are easy to calculate from linear regressions.     

Structural changes in U.S. agriculture: Implications for African American farmers

Structural changes in U.S. agriculture, influenced by technological and institutional forces, have altered the economic and social characteristics of rural America, especially that segment of rural America populated by farmers and their families. Changes in the structure of agriculture have greater implications for small scale farmers, many of whom are African American, in that strategic options for their farm-firms are constrained to: increasing their farm size, exiting farming, and obtaining off-farm employment to survive. This article presents a rationale for public support of limited resource farmers, identifies structural trends in U.S. agriculture and their impacts on African American farmers, discusses economic problems unique to these farmers, and recommends needs for specific public policies and development programs.     

The future of the uplands

Upland areas provide UK society with many important functions, goods and services, but have experienced a number of disturbing trends and face an uncertain future. This paper outlines historic, current and future drivers of environmental, economic, socio-cultural and policy change in UK uplands, and assesses how these have affected or are likely to affect ways in which land is used and the provision of ecosystem services. Information is synthesised into scenarios summarising a range of possible futures anticipated for UK uplands to 2060 and beyond. Finally, innovations in science, technology, governance and policy are evaluated that could enable uplands to continue providing key ecosystem services under a range of scenarios. The paper concludes that many upland areas will need to be prepared for significant reductions in grazing and prescribed burning. Conversely, other areas could experience agricultural intensification, for example significant increases in grazing or an expansion of arable or bioenergy crops into upland valleys, due to anticipated increases in global demand for food and energy. These scenarios will take place in the context of climate change. Many may take place together and may interact with each other, with complex and unpredictable implications for the upland environment, economy and society. In this context, a number of advances are needed in science, technology and policy to maintain viable upland communities and the future provision of ecosystem services. These may include funding for ecological and hydrological restoration via carbon offsetting or other means. It may also involve advances in ecosystem service modelling, mapping and valuation, which through stakeholder participation could facilitate more integrated rural planning. New forms of environmental governance need to be explored that can empower those interested in developing upland economies to maintain thriving upland communities, while managing the ecosystem services they provide as efficiently as possible.     

A Model of Supplier Responses to Just-In-Time Delivery Requirements

When buyers provide incentives for suppliers to deliver just-in-time, suppliers can respond by choosing to hold additional inventory, reducing the variance of flow time to facilitate just-in-time production, or both. A model characterizing the supplier's optimal response to incentives for JIT delivery is presented. The model shows a situation where the optimal action of the supplier is to hold more inventory. When incentives for on-time delivery are increased, the supplier responds by decreasing the variance of flow time and by increasing the lead time allowance. However, the lead time allowance increases more quickly than the variance is reduced, resulting. in a net increase in the amount of inventory that must be held by the supplier. The result is that inventory is pushed upstream. This paper does not suggest that inventory is always pushed upstream in JIT purchasing. Rather, it provides a counter-example to those who presume that holding more inventory is always a non-optimal response to buyer's requests for JIT delivery.     

A Cost Indirect Evaluation of Productivity Change in UK Universities

The study provides an empirical analysis of productivity change in publicly-funded UK universities, against a background of government policy specifically designed to enhance the productive efficiency of universities in the provision of teaching and research. The nonparametric analysis employs a cost indirect approach to measuring productivity change, taking explicit account of the quality of research output and decomposing productivity change into technical change and efficiency change. The latter is also decomposed into changes in pure technical efficiency, scale efficiency and output congestion. Changes in size efficiency are also computed. On average, productivity declined by 4% over 1989–92, mainly as a result of regressive technical change. Evidence of biased technological change was found, with the frontier shifting out in favour of the teaching outputs and in relative to the research output.     

International Rivalry in Advancing Products

This paper explores the forces that determine the distribution of technological leadership across countries and whether technological leadership contributes to national welfare. Increased domestic resources or domestic innovation efficiency need not improve domestic technological leadership when more than one quality level of a product sells in equilibrium. If and only if a sufficient share of income is spent on high quality levels does increased domestic resources or domestic innovation efficiency improve domestic technological leadership. When discounting is slight enough, forces that improve domestic technological leadership reduce welfare by reducing the rate of innovation.