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Empirical studies on international trade highlight the role of innovation on international exchange but do not capture the effect of technological innovation when unobservable common factors (UCFs) are considered. This paper examines the long‐run relationship between technological innovation and international exchange using panel data for eight African countries over the period 1981–2013. The non‐stationarity and cointegration between technological innovation, international exchange, public investment, real gross domestic income and foreign direct investment were examined, controlling for cross‐sectional dependence and heterogeneity between countries. The results suggest that technological innovation in Africa remains low after controlling for UCFs, while public investment, real gross domestic product and foreign direct investment have significant impact on international exchange. Moreover, the results from the homogeneous and heterogeneous estimates, with and without UCFs, show that ignoring UCFs is likely to bias the coefficients. These findings reveal that African countries should invest more in public infrastructures and research and development to upgrade their capability To play an active role in the international market. [ABSTRACT FROM AUTHOR]

This paper serves as an introduction to this special issue on the use of multiregional inputoutput modeling in assessments of natural resource use and resource use efficiency. Due to globalization, growth in trade has outpaced growth in global gross domestic product (GDP). As a consequence, impacts of consumption of a country increasingly take place abroad. Various methods have been developed to perform so-called footprint analyses. We argue that global multiregional input-output (GMRIO) analysis has the largest potential to provide a consistent accounting framework to calculate a variety of different footprint indicators. The state of the art in GMRIO has, however, various shortcomings, such as limited sector and regional detail and incomplete extensions. The work presented in this special issue addresses a number of such problems and how to possibly overcome them, focusing on the construction of a new GMRIO database (EXIOBASE V3). This database includes long time series in both current and constant prices, a high level of product and sector detail, a physical representation of the world economy, and allows analyzing which footprints out of the many possible indicators provide most information for policy making. Various options for empirical analyses are presented in this special issue. Finally, we analyze how GMRIOs can be further standardized and gradually moved from the scientific to the official statistical domain. [ABSTRACT FROM AUTHOR]