Fulvio Castellacci

The Impact of EU Regional Support on Growth and Convergence in the European Union

The evidence presented in this article suggests that EU regional support has a significant and positive impact on the growth performance of European regions. Moreover, there are signs of a change in the impact of this support in the 1990s, indicating that the major reform of the structural funds undertaken in 1988 may have succeeded in making EU regional policy more effective. However, the results also indicate that the economic effects of such support are much stronger in more developed environments, emphasizing the importance of accompanying policies that improve the competence of the receiving environments.

Closing the Technology Gap

This paper focuses on the dimensions shaping the dynamics of technology. We present a model where the knowledge stock of a country grows over time as a function of three main factors: innovation intensity, technological infrastructures, and human capital. The latter two variables determine the absorptive capacity of a country as well as its innovative ability. We then carry out an empirical analysis that investigates the dynamics of technology in a large sample of economies in the last two-decade period, and studies its relationships with income per capita growth. The results indicate that the cross-country distributions of technological infrastructures and human capital have experienced a process of convergence, whereas the innovative intensity is characterized by increasing polarization between rich and poor economies. Thus, while the conditions for catching up have generally improved, the increasing innovation gap represents a major factor behind the observed differences in income per capita.

Evolutionary and New Growth Theories - Are They Converging?

The article presents a critical review of evolutionary and new growth theories. The purpose is to discuss the often-made claim that the two approaches, both inspired by Schumpeter’s seminal work, are becoming more and more similar in terms of the sources and mechanisms of the growth process on which they focus. According to this argument, some kind of theoretical convergence between the two paradigms is taking place. Differently from previous surveys of the field, the article compares evolutionary and new growth theories by focusing on their major theoretical foundations. The discussion leads to the conclusion that the two approaches greatly differ with respect to all of their main theoretical building blocks, and that no convergence between the two paradigms is therefore taking place. This finding should be welcomed by both evolutionary and new growth scholars, because it is the process of interaction and the fruitful exchange of ideas between different approaches that lead to advances in growth theory, not their convergence to a common paradigm.

A new panel dataset for cross-country analyses of national systems, growth and development (CANA)

Missing data represent an important limitation for cross-country analyses of national systems, growth and development. This article presents a new cross-country panel dataset with no missing value. We make use of a new method of multiple imputation that has recently been developed by Honaker and King to deal specifically with time–series cross-section data at the country-level. We apply this method to construct a large dataset containing a great number of indicators measuring six key country-specific dimensions: innovation and technological capabilities, education system and human capital, infrastructures, economic competitiveness, political–institutional factors, and social capital. The CANA panel dataset thus obtained provides a rich and complete set of 41 indicators for 134 countries in the period 1980–2008 (for a total of 3886 country–year observations). The empirical analysis shows the reliability of the dataset and its usefulness for cross-country analyses of national systems, growth and development. The new dataset is publicly available.

Technology Gap and Cumulative Growth: Models and outcomes

Addressing the question of why productivity growth rates differ between countries from a disequilibrium standpoint, the paper explores the possibility of combining in a single formalisation two different but complementary theories of technical change and macroeconomic growth--namely the Kaldorian idea of cumulative causation and the technology-gap approach to economic growth. In order to investigate the complementarities between these two approaches, a two-country macroeconomic model of technology-gap and cumulative growth is presented. The analytical solutions of the model for the growth rates of productivity and demand, and the dynamics of the technology-gap show the existence of a large set of possible outcomes: the follower country can fall behind, partly or totally catch up, or overtake the leader. Moreover, even if the follower is able to close the technology-gap, it will not necessarily be able to close the growth rate differential. The empirical evidence on the experience of 26 OECD countries during 1991-99 shows the relevance of the model for explaining the recent performance of technological activities and productivity growth.

Structural Change and the Growth of Industrial Sectors: Empirical Test of a Gpt Model

This paper investigates the empirical relevance of a model of structural change and the growth of industrial sectors. The model analyses the process of diffusion of general-purpose technologies (GPTs) and how this affects the dynamic performance of manufacturing and service industries. The empirical analysis studies the dynamics and the determinants of labour productivity growth for a large number of sectors in 18 OECD countries over the period 1970-2005. The results of dynamic panel data and cross-sectional analysis provide support for the empirical validity of the model. Industries that are close to the core of ICT-related GPTs are characterized by greater innovative capabilities and have recently experienced a more dynamic performance. Relatedly, countries that have been able to shift their industrial structure towards these high-opportunity manufacturing and service industries have grown more rapidly.

Capable Companies or changing markets? Explaining the export performance of firms in the defence industry

The paper presents an analysis of the factors explaining the export performance of firms in the defence sector. We focus on the case of Norway, and make use of two complementary methodologies: the first is based on econometric firm-level data analysis for the whole population of defence companies, and the second is based on qualitative case study research on the three most important defence export products (weapon stations, ammunition and electronics). Our empirical results highlight the importance of four major success factors for exporting firms: (1) the participation in offset agreements; (2) the ability to focus on their set of core competencies; (3) their R&D activities and interactions with the public S&T system; and (4) demand opportunities and, relatedly, user-producer interactions.

Innovation, Diffusion and Cumulative Causation: Changes in the Spanish Growth Regime, 1960-2001

Abstract This article presents a model of macroeconomic growth that combines in a single formalization two complementary views on innovation and economic growth, the technology‐gap approach and the Kaldorian theory of cumulative causation. The model suggests that what matters for economic growth in the long run is the existence of a good match between the patterns of technological change, income distribution and demand growth. The model is estimated for the Spanish economy during the period 1960–2001, and the econometric results show that important changes have happened in its growth regime over time. Since the 1980s, innovation and diffusion of new technologies provide a greater stimulus to productivity growth, but the technology push on the supply‐side is not sustained by the prevailing patterns of income distribution and demand growth.

Who gets Horizon 2020 research grants? Propensity to apply and probability to succeed in a two-step analysis

This paper presents a timely analysis of participation in the 8th European Framework Programme for Research and Innovation (EU FP) Horizon 2020. Our dataset comprises the entire population of research organizations in Norway, enabling us to distinguish between non-applicants, non-successful applicants, and successful participants. We find it important to distinguish two stages of the participation process: the self-selection stage in which organizations decide whether they wish to apply for EU funding, and the second stage in which the European Commission selects the best applications for funding. Our econometric results indicate that the propensity to apply is enhanced by prior participation in EU FPs and the existence of complementary national funding schemes; further, that the probability of succeeding is strengthened by prior participation as well as the scientific reputation of the applicant organization.

Defence firms facing liberalization: innovation and export in an agent-based model of the defence industry

The paper presents an agent-based simulation model of the European defence industry. The model resembles some of the key characteristics of the defence sector, and studies how firms in this market will respond to the challenges and opportunities provided by a higher degree of openness and liberalization in the future. The simulation analysis points out that European defence firms will progressively become more efficient, less dependent on public procurement and innovation policy support, and more prone to knowledge sharing and inter-firm collaborations. This firm-level dynamics will in the long-run lead to an increase in the industry’s export propensity and a less concentrated export market.