Foresight on biopharmaceuticals: Designing foresight methods for Spanish biopharmaceuticals

This paper has as its starting point the analysis of the systemic failures in the Spanish Biopharmaceutical Innovation System grounded in the study carried out by the same authors for the OECD between 2002 and 2004. Based on the evidence that one of the main failures is the lack of sufficient linkages between the different actors involved in the dynamic of the system, this paper proposes third-generation foresight as an instrument of science and innovation policy for resolving the problem of systemic failures. Foresight exercises could become an important instrument for reorienting policy, building new networks and linkages among the different actors, bringing new stakeholders into the strategic debate, exploring future opportunities for investment in science and innovation activities, etc. The objective of this paper is the design of a foresight exercise on biopharmaceuticals with the aim of solving, or at least reducing, the failures of this Spanish sectoral system of innovation and in consequence making it stronger.     

The Terms of Trade and the International Transfers of Productivity Gains

In international economic relations, when movements of labour are limited and fiscal redistributive policies non-existent, changes in the terms of trade (the ratio between the prices of exports and imports) are the main driving force for the international redistribution of incomes or of productivity gains. The concept of productivity flows linked to price changes can be extended from the interindustry framework to deal with international relations bringing some new insights into the terms of trade issues. The paper develops a conceptual framework for the computation of international flows of productivity gains, taking into consideration the role of exchange rates and the meaning of Purchasing Power Parities. It is completed by a set of computations on Swiss relations with the rest of the world.     

Asset trading volume in a production economy

Judd et al. (J Finance 63: 2203–2217, 2003) show that the stationary Lucas tree model cannot generate nontrivial asset trading: Heterogenous agents will optimally choose a fixed portfolio after initial rebalancing. This paper explores asset trading volume in production economies with heterogeneous agents and dynamically complete market structures. We establish a recursive version of the Negishi approach to prove the existence of a competitive equilibrium. Furthermore, we develop a general method to solve for equilibrium portfolios in production economies within a fairly general set of complete market structures. We thus establish the theoretical reasons why production economies in general generate a nontrivial volume of asset trading even if heterogeneity of the agents is kept to a minimum. We would like to thank W. Brock, D. DeJong and, especially, H. Ennis for comments and suggestions. We also thank seminar participants at Di Tella and San Andrés Universities (Argentina), the Institute for Advanced Studies (Austria), SED Meetings 2005 (Budapest) and SAET Conference 2005 (Vigo).     

BANK EXPOSURE TO INTEREST RATE RISK: A GLOBAL PERSPECTIVE

In 1993, the Basle Committee on Banking Supervision considered whether to incorporate interest rate risk in risk-based capital requirements for international banks. At issue was whether a bank's interest rate risk varies with the country of concern. While the effects of interest rate movements on U.S. banks are well documented, the effects on banks from other countries are not. We find that bank interest rate risk varies among countries, which supports the need to capture interest rate risk differentials in the risk-based capital requirements. We also find that non-U.S. bank values are sensitive not only to domestic interest rates, but to international interest rates as well.     

Events and economic forecasting models

In the June 1972 issue of Futures, Olaf Helmer developed the idea of cross-impact analysis to include both events (singular occurrences) and trends (gradual developments).¹ The present article pursues further this idea, using an econometric forecasting model to represent the economic trends in an economy, and a sequential cross-impact method to analyse the events which could change its course. The application of this idea, also described in the article, suggests a procedure for improving the communication between model builders and final users.     

Assessing financial contagion in the interbank market: Maximum entropy versus observed interbank lending patterns

Interbank markets allow banks to cope with specific liquidity shocks. At the same time, they may represent a channel for contagion as a bank default may spread to other banks through interbank linkages. This paper analyses how contagion propagates within the Italian interbank market using a unique data set including actual bilateral exposures. Based on the availability of information on actual bilateral exposures for all Italian banks, the results obtained by assuming the maximum entropy are compared with those reflecting the observed structure of interbank claims. The comparison indicates that, under certain circumstances, depending on the structure of the interbank linkages, the recovery rates of interbank exposures and banks’ capitalisation, the maximum entropy approach overrates the scope for contagion.     

The dynamics of entrepreneurship: hysteresis, business cycles and government policy

This article estimates two unobserved components models to explore the macrodynamics of entrepreneurship in Spain and the USA. We ask whether entrepreneurship exhibits hysteresis, defined as a macrodynamic structure in which the cyclical component of entrepreneurship has persistent effects on the natural rate of entrepreneurship. We find evidence of hysteresis in Spain, but not the USA, while in Spain business cycle output variations significantly affect future rates of entrepreneurship. The article discusses implications of the findings for the design of entrepreneurship policies.     

When culture meets digital platforms: value creation and stakeholders’ alignment in big data use

Research on big data has highlighted that a crucial element to create value from data is the capability of aligning different stakeholders’ interests. However, it has not yet been investigated empirically how this process of alignment can be realized. We conduct a multiple case study on the two leading platforms involved in the online dissemination of cultural heritage – Europeana and Google Arts & Culture. Our findings reveal that a platform overtakes a rival one when it turns on multiple drivers of value creation in such a way that the drivers contribute to realigning the interests expressed by the stakeholders whose strategic objectives and beliefs were formerly divergent – or simply unrelated – to each other. This capability of realigning different stakeholders’ interests is independent of the level of industry-specific knowledge that the platform orchestrator has. The dynamics we document imply that Google has assumed a system integration role in the cultural ecosystem. This generates new trade-offs for museums in the way they generate value for the tourism industry. The paper enriches our understanding of what strategies digital platforms adopt to create value in big data contexts and provides a base to continue the investigation on other ecosystems driven by big data.     

Inter-industry Distribution of Productivity Gains

In an input–output framework the gains of total factor productivity or the benefits of process innovation can be measured as a reduction in time of the total cost per unit of output, for any industry, when costs and outputs are measured at constant prices. These benefits are distributed to the economic agents (consumers, suppliers, workers, capital owners) through changes in prices, reflecting the structure of the different markets for products and for primary inputs. Theoretical considerations about this process of distribution of the benefits of innovation are complemented with computations related to the evolution of the Spanish economy between 1975 and 1980.