Productivity change in a multisectoral economic system

We estimate productivity growth without recourse to data on factor input shares or prices. In the proposed model, the economy is represented by the Leontief input–output model, which is extended by the constraints of primary inputs. A Luenberger productivity indicator is proposed to estimate productivity change; this is then decomposed in a way that enables us to examine the contributions of individual production factors and individual commodities to productivity change. The results allow for the identification of inputs or outputs that are the drivers of the overall productivity change. Their contributions are then decomposed into efficiency change and technical change components. Using input–output tables of the US economy for the period 1977–2006, we show that technical progress has been the main source of productivity change. Technical progress was mostly driven by capital, whereas low-skilled labour contributed negatively.     

A Consistent Formulation of the Leontief Pollution Model

We consider the environmental Leontief model, which is an input–output model augmented by pollution-generation and pollution-abatement sectors. Two formulations of this model, dating back to Leontief's work in 1970, can be found in the literature. One formulation treats an exogenously given vector of the tolerated level of pollutants (environmental standards) as a negative variable on the right-hand side of the model. The other formulation supposes that each industry eliminates a given proportion of the pollution that it creates, so that the proportions of gross pollutants which are subject to treatment by each sector enter as given parameters. Even in the case when the levels of production and abatement in the two different model formulations are equal, the solutions of the dual or price model are different for cases where some net pollution is left untreated. First, the analytical relationship between the two price models is established. Secondly, both models formulated in a linear programming framework are extended by imposing emission charges (effluent taxes) for untreated pollution. Finally, it will be shown how to estimate the level of emission charges for both model formulations such that they provide the same levels of production and abatement, as well as the same shadow prices. This is illustrated by a numerical example.     

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Measuring productivity of research in economics: A cross-country study using DEA

We measure productivity in leading edge economic research by using data envelopment analysis (DEA) for a sample of 21 countries belonging to the Organization for Economic Cooperation and Development (OECD). Publications in ten top journals of economics from 1980 to 1998 are taken as the research output. Inputs are measured by R&D expenditure, the number of universities with economics departments and (as an uncontrollable variable) population. Under constant returns-to-scale, the US emerges as the only efficient country. Under variable returns-to-scale, the efficiency frontier is defined by the US, Ireland and New Zealand. With the exception of the US, all countries in our sample display increasing returns-to-scale, and thus have the potential to raise their efficiency by scaling up their research activities.     

Reconsideration of Non-negative Solutions for the Augmented Leontief Model

We consider the Leontief model augmented with pollution-generation and pollution-abatement sectors. The conditions to ensure the existence of non-negative solutions for the total output and for the vector of abatement activities, depending on the exogenously given final demand and environmental standards, are presented. They are extensions and modifications of the conditions for a single pollutant derived, for example, by Miller and Blair.