The great depression as a global currency crisis: An Argentine perspective

The Review of Austrian Economics - Many of the works that have tried to understand the proximate causes of the Great Depression have emphasized the consequences of maintaining the Gold Standard...     

The effect of the dynamics of knowledge base complexity on Schumpeterian patterns of innovation: the upstream petroleum industry

This article analyzes important changes in technological innovation in the upstream petroleum industry. It provides evidence that shifts in sectoral patterns of innovation over the petroleum industry's lifecycle from the 1970s up to 2005 were dependent on the dynamics of knowledge base complexity (KBC), a key dimension of an industry's technological regime. Accordingly, observed shifts in innovation patterns are understood to be the aggregated strategic response of industry innovators to changes in the technological regime. The article proposes a quantitative method for exploring KBC and Schumpeterian patterns of innovation, and interactions between the two at the industry level. As the industry evolved, its knowledge base moved to higher orders of complexity creating a shift in the Schumpeterian pattern of innovation. Increased KBC was found to alter Schumpeterian patterns from Mark I toward a ‘modified’ Mark II. Instead of coming predominantly from ‘traditional’ established oil operators, technological innovation was increasingly triggered by a new class of emergent integrated service companies – ‘second tier’ systems integrators of the upstream sector able to cope with increased KBC.     

Pursuing a biotechnology system of innovation in Lithuania: a conceptual framework for effective policy intervention

The focus of this paper is on Lithuania, whose government released an ambitious innovation strategy to become an innovative services hub for Northern Europe by 2015, and an innovation hub by 2020. Biotechnology has been identified as a strategic sector, and whether Lithuania will be able to achieve its ambition of a fully functioning biotechnology sectoral system of innovation will be explored. With the Lithuanian government declaring that they will intervene to achieve their innovation goals, this paper argues that sound policy intervention is possible and can be done in a way that avoids the limitations of past systemic approaches. The policy approach presented is based on a modified extended industry life cycle, and the movement of system structures through three phases – background, pre-emergence and emergence – and explains how each phase lays the groundwork for transition to the next phase.     

Managing price, gaining profit

The fastest and most effective way for a company to realize maximum profit is to get its pricing right. The right price can boost profit faster than increasing volume will; the wrong price can shrink it just as quickly. Yet many otherwise tough-minded managers miss out on significant profits because they shy away from pricing decisions for fear that they will alienate their customers. Worse, if management isn't controlling its pricing policies, there's a good chance that the company's clients are manipulating them to their own advantage. McKinsey & Company's Michael Marn and Robert Rosiello show managers how to gain control of the pricing puzzle and capture untapped profit potential by using two basic concepts: the pocket price waterfall and the pocket price band. The pocket price waterfall reveals how price erodes between a company's invoice figure and the actual amount paid by the customer--the transaction price. It tracks the volume purchase discounts, early payment bonuses, and frequent customer incentives that squeeze a company's profits. The pocket price band plots the range of pocket prices over which any given unit volume of a single product sells. Wide price bands are commonplace: some manufacturers' transaction prices for a given product range 60%; one fastener supplier's price band ranged up to 500%. Managers who study their pocket price waterfalls and bands can identify unnecessary discounting at the transaction level, low-performance accounts, and misplaced marketing efforts. The problems, once identified, are typically easy and inexpensive to remedy.     

Evolutionary policy targeting: towards a conceptual framework for effective policy intervention

This special issue reflects on innovation and industrial policy from the premise that economic growth can be based on the permanent transformation of an economic system via the emergence and/or transformation of multi-agent structures and their inherent competences and knowledge base. The process of emergence or transformation is conceived as being the result of entrepreneurial effort, or entrepreneurs reacting to external stimuli in a way that takes advantage of an evolving knowledge base. The same process, however, can be undermined by both market and institutional failures. Past research has clearly indicated the importance of institutional structures for innovation, but also that structures as they exist may not be ideal: some institutions involved in innovation may provide the wrong incentives, faulty information, or allocate insufficient resources to accomplish their goals or mandates; and they may fail to reduce uncertainty. The paper asks whether and how a targeted, co-evolutionary approach can help overcome a lack of dynamic coordination and other failures that originate in coincidence with the emergence of a complex form of industrial organisation, be it an innovation system, cluster or a new industrial sector. More specifically, it builds upon the extended industry life cycle (EILC) model and the notion of evolutionary targeting to explore the potential benefits (and drawbacks) of targeting biotechnology innovation systems (BISs).     

Towards a systemic and evolutionary framework for venture capital policy

When compared to the U.S. and Israel, the weak venture capital (VC) markets and VC policy in Europe up to the early 2000s stimulated two alternative streams of research. A majority view, which we term traditional, focuses on the role of VC in overcoming market failure in the financing of innovative ventures. The policy recommendations emerging from this view involve a mix of monetary incentives and institutional changes that can be applied irrespective of the local context. The second is an evolutionary perspective on VC and VC policy. This is based on a dynamic analysis of the co-evolution between VC and high-tech entrepreneurship, as well as an adaptive view of policy and policymaking (Metcalfe, Econ J 104(425):931–944, 1994). In this setting, policy-makers have to overcome not only market failure but also dynamic system failure associated with the linked emergence of entrepreneurial high-tech clusters. Overcoming traditional market failure becomes a necessary but not sufficient pre-emergence condition for the eventual attainment of the latter policy objectives. This paper surveys the post-2000 literature on VC and VC policy and criticizes some of its assumptions and results. Moreover, it examines the Israeli and UK/Scotland innovation policy frameworks from an historical perspective, which allows us to highlight differences in approaches and impacts. The upshot is that the success of VC policies depends on a number of factors, including the phase of emergence of a VC market and high-tech cluster and the specific country/region institutional setting.