The Role of Innovation Policies in the Brazilian Health Biotechnology Regime

ABSTRACT

The Brazilian biotechnology health innovation regime can be understood as a phenomenon that results from the co-evolution of scientific, economic, and political factors. In order to analyze this co-evolution process, this article presents empirical evidence regarding the relationship between the public policy rationale devoted to promoting innovation activities and the development of health biotechnology in Brazil. Focusing on the 2002–2010 period, this article analyzes the different roles played by public policy on the development of Brazilian health biotechnology. The article is based on the analysis of two main dimensions: the national research capabilities and the dedicated biotechnology firms in Brazil. In this regard, the main conclusion is that public policies had a significant impact on both dimensions. However, the impact has been erratic and reflects strategic public policy weaknesses.     

Corporate reputations in UK biotechnology: an analysis of on‐line ‘company profile’ texts

Internet technology is creating a new corporate communications framework, which is affecting communication channels, corporate audiences, message content and form, communication feedback and corporate personae. Confronted with a complex communications environment, which is characterized by many conflicting views and highly sensitive topics, biotechnology companies have to transmit a clear and powerful message to their target audiences. This study analyses the projection of corporate images in the ‘company profile’ texts published on‐line by biotechnology firms in the UK.     

Impact of initial seeds on the growth of biotechnology startups: evidence from the U.S. and Japan

ABSTRACT

We assess the impact of initial seeds on the long-run growth of biotechnology startups, including the response of the capital market, in the U.S. and Japan. For this purpose, we collected a comprehensive dataset of the matched sample of listed firms from their foundations to the post-IPO period. We find that the quality of initial seeds predicts significantly both the level and the growth rate of the patent stock as well as those of the asset size of the U.S. startups, even controlling for their alliances and acquisitions, while it predicts only the level of the patent stock for the Japanese startups. Furthermore, the asset growth and the patent stock growth in turn account for the market value performances of the U.S. firms much more significantly than those of the Japanese firms. On the other hand, there are only small differences with respect to the time to IPO and the asset growth through the IPO. These results suggest that higher quality of initial seeds significantly enhanced long-run growth of biotechnology startups in the U.S. but not in Japan, and that the differences in fertility of the initial seeds and in efficiency of the capital market could significantly explain the difference.     

Biotechnology as a low-level-of-coherence policy priority: effectual-targeting and the need for learning and experimentation capabilities

During the last two decades, policymakers in various positions have been adopting a systems-approach to policy thinking. However, in contrast with the quasi-evolutionary way in which policy is thought of and conceptualised it seems that policy doing is still being guided by ‘market-failure’ justifications causing actual policies to remain narrow in their scope. In this paper we sidestep this analytical divide of thinking/doing by developing a co-evolutionary framework that utilises a more productive analytical divide of means/ends. That is to say we focus on a process of co-evolution of a higher-order, one which takes place ‘inside’ the agent of policy herself, and involves changes in the ways ‘means’ and ‘ends’ are understood and acted upon. Conceptualising policy problems in terms of means/ends contributes to current debates by rendering the difficulty that countries are facing in their attempts to prioritise biotechnology more intelligible and thus manageable.     

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).     

Exploring the effect of structural patent indicators in forward patent citation networks on patent price from firm market value

This paper introduces structural patent indicators in the forward patent citation networks (FPCNs). Using the estimates of their relationship with firm market value, it explores the effect of the structural patent indicators on patent price. When applied to US smartphone industry and US drug and biotechnology industry, the common finding is that a firm's registered patent gets higher price if influenced faster by the previously registered patents of the same firm through self-citations. The empirical results imply that merely counting forward citations, shown related to patent price by the previous works, is insufficient; the structural properties in FPCNs are essential for the more accurate estimation of patent price. They also show that the relationships between structural patent indicators in the FPCNs and patent price are different between industries. It urges the necessity of selecting structural patent indicators, well fitted to each industry, for the better patent valuation using forward citations.     

谈现代生物技术改写传统食品发酵工艺的历史

人类对生命科学研究的持续开展极大地促进了农业生物技术和工业生物技术的发展,引发了人类健康事业的历史性变革。现代化生物技术的突飞猛进,改写了食品发酵工艺的历史。展望现代生物技术领域的发展趋势,把握世界现代生物技术领域的发展态势,对大力提高我国科技自主创新能力具有极其重要的意义。     

'The Navigator Network': a New Zealand futurewatch case study

New Zealand's 'Navigator Network' is a national scanning network of scientists and policy analysts providing 'early alert' advice about emerging areas of science and technology. It was established by the Ministry of Research, Science and Technology (MoRST) to enhance the government's readiness to respond to the opportunities and risks around new technologies, particularly in biotechnology and nanotechnology. The Navigator Network has been tailored to the New Zealand context, which is characterised by a small, well-connected government sector and a strong focus on agricultural biotechnology and food. The network builds on these features, and is 'people-centric' rather than 'information-centric', using dialogic approaches to generate new knowledge between diverse stakeholder groups. It also focuses on building futures capability in the government and science sectors. Representatives from government agencies are integrated into the process as scanners to facilitate uptake. It also has an adaptive development process via an action learning component.     

GM crop technology and trade restraints: economic implications for Australia and New Zealand*

How much might the potential economic benefit from enhanced farm productivity associated with crop biotechnology adoption by Australia and New Zealand (ANZ) be offset by a loss of market access abroad for crops that may contain genetically modified (GM) organisms? This paper uses the Global Trade Analysis Project (GTAP) model to estimate effects of other countries' GM policies without and with ANZ farmers adopting GM varieties of various grains and oilseeds. The gross economic benefits to ANZ from adopting GM crops under a variety of scenarios could be positive even if the strict controls on imports from GM‐adopting countries by the European Union are maintained, but not if North‐East Asia also applied such trade restaints. From those gross economic effects would need to be subtracted society's evaluation of any new food safety concerns and negative environmental externalities (net of any new environmental and occupational health benefits), as well as any extra costs of segregation, identity preservation and consumer search.     

Specification and Estimation of Production Functions Involving Damage Control Inputs: A Two-Stage, Semiparametric Approach

Productivity assessment of damage control inputs (such as pesticides) is complicated because their effect depends on the exposure to damage agents (such as pests). We discuss some open specification and estimation issues. The contribution is threefold. First, we elaborate the separability conditions for the damage control function and production function. Second, we employ a two-stage semiparametric technique to combine attractive features of both nonparametric and parametric approaches. Third, we model the interaction between pest exposure and damage control inputs by using slope dummies. An application to productivity analysis of small scale Bt cotton production in China illustrates the approach.