Are the BRIC countries overtaking intermediate countries in the race for international R&D? The case of Spain

The emergence of Brazil, Russia, India and China (BRIC) as international locations for foreign direct investment in R&D is a sign that multinationals are relocating their technological activities to new territories. This trend may weaken the supremacy of the developed countries until now considered leaders in innovation, and may mean the loss of the competitive advantages enjoyed by the countries considered intermediate innovators. This paper examines the situation of Spain as a typical intermediate economy and compares it to its main competitors among the BRICs. Based on eight case studies of subsidiaries with R&D centres in Spain, we conclude that the policies adopted by certain emerging economies to develop their national innovation systems are proving effective and that these countries now pose a threat to intermediate economies. However, the BRICs still lag behind in terms of the security of their institutional framework; this situation leaves intermediate countries in an advantageous position.     

How to implement innovation policies through projects successfully

This paper investigates the types of policy instruments responsible for the success of policy implementation through projects. Based on evidence from 12 comparative multiple case-studies, the paper provides an analytical insight from real practice on how and why different types of instruments lead to either successful or unsuccessful projects. In particular, the key finding is that in order for projects to implement policy successfully, policy instruments have to be designed based on specific systems thinking constructs related to flexibility. The findings provide the crucial but missing holistic conceptual direction for the development of implementation theory, which needs to overcome conceptual fragmentation and polarization. The findings also provide the insight as to how instruments really function which is essential to policy makers and project managers involved in public innovation programs.     

Issues in the analysis of co-authorship networks

Scientific collaboration is a complex phenomenon that improves the sharing of competences and the production of new scientific knowledge. Social Network Analysis is often used to describe the scientific collaboration patterns defined by co-authorship relationships. Different phases of the analysis of collaboration are related to: data collection, network boundary setting, relational data matrix definition, data analysis and interpretation of results. The aim of this paper is to point out some issues that arise in these different phases, highlighting: (i) the use of local archives versus international bibliographic databases; (ii) the use of different approaches for setting boundaries in a whole-network; (iii) the definition of a co-authorship data matrix (binary and weighted ties) and (iv) the analysis and the interpretation of network measures for co-authorship data. We discuss the different choices that can be made in these phases within an illustrative example on real data which is referred to scientific collaboration among researchers affiliated to an academic institution. In particular, we compare global and actor-level network measures computed from binary and weighted co-authorship networks in different disciplines.     

Sell‐Side Analyst Bias When Investment Banks Have Privileged Access to the Board

Research on analyst bias typically identifies affiliation with reference to a subset of the mandates that could give rise to incentives for bias in a multifunction investment bank. This paper develops a new measure of affiliation based upon the UK practice of corporate broking. An advantage of this approach is that affiliation is no longer restricted to isolated equity issuance events as it is an ongoing activity. This research shows that prior US evidence regarding the “Global Settlement” is robust to this new measure and application in the United Kingdom rather than solely the United States. The paper uses a hazard rate methodology focusing on the timeliness of revisions to address selection bias concerns.     

Influence of perceived risk on entrepreneurial desirability and feasibility: multidimensional approach for nascent entrepreneurs

This study examines the influence of perceived risk on entrepreneurial desirability and feasibility as determining factors in the intention to start a self-owned business. Specifically, a multidimensional approach is taken to examine the different types of risks associated with entrepreneurship: economic, social, time, health and personal risks. The results obtained from a sample of 376 new entrepreneurs in Mexico confirm the fact that the perceived desirability and feasibility have a significant and positive effect on the intentions to start their own company. On one hand, the empirical evidence obtained shows a heterogenic effect of the risk dimensions associated with entrepreneurship on the perceived desirability and feasibility in their behaviour. Therefore, it was found that the economic risk associated with entrepreneurship has a negative effect on the feasibility to start a business, but does not significantly influence the desirability of that behaviour. On the other hand, a significant effect from the risk related to health is not seen on desirability and feasibility, but the negative influence of personal risk is empirically supported for both variables. Finally, the results obtained related to social and time risk are contradictory. Social risk negatively influences entrepreneurship desirability, but a positive effect is observed on the feasibility to create a business. For its part, the empirical evidence obtained does not support any effect of the time risk on the perceived feasibility of starting a business, but there is a positive on entrepreneurship desirability. These results, which are contrary to the traditional concept of risk as a barrier to entrepreneurship, are justified by the vocational nature of this behaviour and by the social sacrifices that are sometimes necessary to be able to make a business work.     

Local banking and local economic growth in Italy: some panel evidence

This article provides new evidence on the contribution of local banking to local economic growth (i.e. at county level – the Italian ‘province’) in Italy. A comprehensive data set is used, which includes control variables for social capital and human capital as well as indicators of the quality of local infrastructures and the production structure of the local economy. A linear within-estimator technique with fixed effects is applied to a modified version of the so-called Barro regression in order to address the well-known econometric issues of reverse causality and estimation bias resulting from unobserved district-specific influences.     

The business model in entrepreneurial marketing: A communication perspective on business angels' opportunity interpretation

Entrepreneurial marketing has emerged as a recent perspective within the marketing field, taking the challenges and characteristics of small firms and founding teams into account. Specifically, in the early stages of entrepreneurial marketing, besides potential customers a variety of other stakeholders tend to be in the center of attention. Among these stakeholders, business angels as early-stage investors represent a vital target group. In this paper, we aim to shed light on entrepreneurial marketing in the early phases of new venture creation, in which entrepreneurial firms have an inherent need to market the value of a business opportunity toward potential investors. In particular, we contribute to the literature by introducing the business model as a narrative device for the marketing of early-stage new ventures toward potential business angels. In this regard, the business model is suggested as playing a critical role through making the inherent economic value of a technology explicit. Building on narrative theory, we investigate the role that the business model plays in the decision-making process of 17 business angels. Based on our findings, we propose a model that links the business model to a business angel's interpretation of an investment opportunity and discuss implications for theory and practice.     

The Total Factor Productivity Gap between Internationalised and Domestic Firms: Net Premium or Heterogeneity Effect?

The empirical literature on international trade predicts that internationally involved firms experience a productivity premium when compared to domestic firms. This finding is supported by comparing the unconditional productivity averages or distributions, or regressing the productivity on the international status dummy, controlled for the relevant covariates. In the present paper, we disentangle the distribution of the gross productivity premium from the component that is created by the different structural compositions of the two groups of firms; we can thereby measure the distribution of the net premium that is attributable to internationalisation. To this purpose, we use the quantile decomposition methodology ( Melly, 2005 ). The main results highlight that (i) the net premium is substantially lower than the gross premium and (ii) while the difference in the gross premium is uniform along the entire distribution, the net premium is significant only for the less productive firms. These results are confirmed even if different internationalisation modes are considered (i.e. exports, agreements and commercial penetration) using the domestic firms as baseline. One exception is the net premium for firms enrolled in foreign direct investment and/or offshoring; this premium does not decrease for firms at the top of the productivity distribution.