Localized Innovation and Productivity Growth in Asia: An Intertemporal DEA Approach

Recent contributions to growth theory stress the importance of localized innovation for the performance of more backward countries. In earlier papers, analyses by means of DEA techniques confirmed this intuition. In this paper, we extend this type of analysis by relaxing the macroeconomic viewpoint adopted until now. New databases on output, labor and capital input in the agricultural and manufacturing sectors are developed for 40 countries. Using intertemporal DEA, it is found that changes in the global production frontier are localized at high levels of capital intensity. This result is stronger in agriculture than in manufacturing. Further, a decomposition of labor productivity growth in eight Asian countries for the period 1975–1992 into the effects of capital intensification, learning and innovation is made. The results suggest that there is a particular development path in which increases in capital intensity appear to be a prerequisite to benefit from international technology spillovers.JEL Classification: O14, O30, O40, O47     

CONSUMPTION GROWTH ACCOUNTING

The methodology in this paper combines an input–output structural decomposition approach with the supply-side perspective of mainstream growth accounting. In explaining the intertemporal change in consumption per worker, three sets of effects are distinguished. First, contributions due to several types of technological changes are considered. Second, effects caused by changes in international trade are discerned. Third, composition effects that reflect structural shifts in demand (including changes in tastes) are quantified. As an empirical illustration, we analyze the developments in the U.K. between 1979 and 1990.     

Externalities of R&D Expenditures

Innovation is generally recognized as a major source of economic growth. R&D investments explicitly aim at generating innovations and creating knowledge. Since knowledge has certain public good properties, positive externalities are likely to exist. In this paper, we extend well-known concepts from the input-output literature (backward multipliers) to indicate at which commodities stimuli should be targeted to enhance R&D and its positive externalities in the economy as a whole. Next, we argue that there may also be negative externalities of R&D, due to increased prices. This issue can be studied by means of forward multipliers. Both concepts are applied to the United States, 1977-90.     

INPUT–OUTPUT ANALYSIS: THE NEXT 25 YEARS

This year marks the 25th anniversary of the International Input–Output Association and the 25th volume of Economic Systems Research. To celebrate this anniversary, a group of eight experts provide their views on the future of input–output. Looking forward, they foresee progress in terms of data collections, methods, theory testing, and focus and scope.     

Localized innovation, localized diffusion and the environment: an analysis of reductions of CO2 emissions by passenger cars

We investigate technological change with regard to CO₂ emissions by passenger cars, using a Free Disposal Hull methodology to estimate technological frontiers. We have a sample of cars available in the UK market in the period 2000–2007. Our results show that the rates of technological change (frontier movement) and diffusion (distance to frontier at the car brand level) differ substantially between segments of the car market. We conclude that successful policies should be aimed at the diffusion of best-practice technology, and take account of the different potential for further progress between different segments of the market (e.g. diesel vs. gasoline engines and small vs. large engines).

A flexible adaptation of the WIOD database in a virtual laboratory

ABSTRACT

The World Input-Output Database provides a time series of world input–output tables (WIOTs) that have been used for example to understand the manifold effects of the increased integration of markets through international trade. In order to enhance the flexibility of research on global trade issues using WIOD, we implement the WIOT workflow in a collaborative, cloud-based virtual laboratory environment. We demonstrate that a lab-based adaptation of WIOD is able (a) to continuously create and update versions of the WIOTs in a timely, consistent, and cost-effective way, (b) to enhance original information with accompanying information on standard deviations, and (c) to enable flexible re-casting of the entire WIOT time series into user-specific geographical and sectoral classifications.