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1. Policy Strategies for Economic Development in Cuba: A Simulation Model Analysis

Author:
Fulvio Castellacci and Hamza Kanar
Publication Date:
12-2013
Content Type:
Working Paper
Institution:
Norwegian Institute of International Affairs
Abstract:
The economic reforms recently implemented in Cuba do not adequately deal with the structural issues that hamper the country's economic development. The paper presents a system dynamics model to investigate Cuba's development process, and a simulation analysis to compare different policy scenarios that may be realized in the future as economic reforms will continue. The results indicate that the most effective development policy would be to combine active public policies to enhance the R sector, on the one hand, and foster the emergence of an efficient private sector that will develop the capital infrastructure of the economy, on the other.
Topic:
Development, Economics, and Foreign Aid
Political Geography:
Latin America and Caribbean

2. Do the effects of R tax credits vary across industries? A meta-regression analysis

Author:
Fulvio Castellacci and Christine Mee Lie
Publication Date:
07-2013
Content Type:
Working Paper
Institution:
Norwegian Institute of International Affairs
Abstract:
This paper presents a survey of the micro-econometric literature on the effects of R tax credits on firms' innovation activities. The authors focus on one specific aspect that has not received sufficient attention in previous research: the sectoral dimension. Our meta-regression analysis (MRA) sets up a new database collecting a large number of firm-level studies on the effects of R tax credits and investigates the factors that may explain differences in the estimated effects that are reported in the literature. The main result of the MRA analysis is indeed that sectors matter. Micro-econometric studies that have focused on a sub-sample of high-tech industries have on average obtained a smaller estimated effect of R tax credits. The paper proposes a simple framework to investigate why the effects of R tax credits vary across sectors and points out new directions and hypotheses for future research.
Topic:
Development, Economics, International Trade and Finance, and Markets

3. Innovation, Absorptive Capacity and Complexity along Development Stages

Author:
Fulvio Castellacci and Jose Miguel Natera
Publication Date:
04-2012
Content Type:
Working Paper
Institution:
Norwegian Institute of International Affairs
Abstract:
The paper presents an empirical analysis of the time series properties of Schumpeterian multiple equilibria models. It considers a panel of 116 countries over the period 1980-2008, and makes use of panel cointegration analysis and Granger causality tests to identify the set of dynamic relationships linking together innovation, absorptive capacity and economic growth in different country clubs. The results provide general support for this class of models and show that absorptive capacity and innovation progressively become more important engines of growth as the development process unfolds over time. Relatedly, the complexity of the economic system (measured by the number of significant Granger causal relationships driving economic growth) increases as we move from the less-developed, to the middle-income and then to the advanced country clubs.
Topic:
Development, Economics, International Cooperation, and Political Economy

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

Author:
Fulvio Castellacci and Jose Miguel Natera
Publication Date:
02-2011
Content Type:
Working Paper
Institution:
Norwegian Institute of International Affairs
Abstract:
Missing data represent an important limitation for cross-country analyses of national systems, growth and development. This paper 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 (2010) 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.
Topic:
Development, Economics, Government, International Affairs, and Infrastructure

5. Sectoral Productivity Trend: Convergence Islands in Oceans of Divergence

Author:
Fulvio Castellacci, Gaaitzen J. de Vries, and Bart Los
Publication Date:
07-2010
Content Type:
Working Paper
Institution:
Norwegian Institute of International Affairs
Abstract:
In their influential study on productivity growth at the sector-level, Bernard and Jones (1996, BJ) observed convergence of aggregate labor productivity levels in 14 highly developed countries in 1970-1987. They also found evidence that this could be attributed to convergence in services productivity rather than in manufacturing. The main question this paper addresses is whether this result can be generalized to a broader set of countries. Several strands of growth theory suggest that thresholds with regard to a variety of issues can lead to multiple growth regimes, which are likely to lead to very heterogeneous patterns of convergence and divergence. To analyze this, we use econometric techniques that explicitly allow for identification of parameter heterogeneity (quantile regressions and quantile smoothing splines), both with regard to initial conditions and to performance conditional on these initial productivity levels. BJ's data are extended in several dimensions. The recently developed sectoral dataset we use spans the period 1970-2004 and covers 49 countries, including many developing countries. Overall, our findings suggest that convergence as found by BJ only applies to limited groups of country-sectors ('convergence islands'), whereas the biggest parts of our sample spaces can be considered as 'oceans of divergence'.
Topic:
Development, Economics, and Emerging Markets

6. Closing the Technology Gap?

Author:
Fulvio Castellacci
Publication Date:
08-2010
Content Type:
Working Paper
Institution:
Norwegian Institute of International Affairs
Abstract:
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: its innovation intensity, its technological infrastructures and its human capital. The latter two variables contribute to determine the absorptive capacity of a country as well as its innovative ability. Based on this theoretical framework, we carry out an empirical analysis that investigates the dynamics of technology in a large sample of developed and developing economies in the last two-decade period, and studies its relationships with the growth of income per capita in a dynamic panel model setting. 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.
Topic:
Development, Economics, Emerging Markets, Science and Technology, and Infrastructure

7. Theoretical Models of Heterogeneity, Growth and Competitiveness

Author:
Fulvio Castellacci
Publication Date:
09-2009
Content Type:
Working Paper
Institution:
Norwegian Institute of International Affairs
Abstract:
This paper presents a survey of theoretical models of heterogeneity, growth and competitiveness. We compare two main theoretical traditions, evolutionary economics and mainstream heterogeneity models, in order to investigate whether the incorporation of heterogeneous agents has made the recent wave of mainstream models more similar to the evolutionary modelling style and results. The results of our survey exercise can be summarized as follows. On the one hand, we observe some increasing similarities and converging aspects between the evolutionary and the mainstream approaches to the study of heterogeneity. On the other hand, however, there are still some fundamental differences between them, which mainly relate to the distinct set of theoretical assumptions and methodological frameworks in which these heterogeneity models are set up and rooted. In short, the evolutionary approach emphasizes the complexities of the growth process and makes an effort to provide a realistic description of it, whereas the mainstream approach does instead follow a modelling methodology that emphasizes the analytical power and tractability of the formalization, even if that implies a somewhat simplified and less realistic description of the growth process.
Topic:
Development, Economics, Industrial Policy, International Trade and Finance, and Markets

8. Technology Clubs, Technology Gaps and Growth Trajectories

Author:
Fulvio Castellacci
Publication Date:
04-2008
Content Type:
Working Paper
Institution:
Norwegian Institute of International Affairs
Abstract:
This paper looks at the convergence clubs literature from a Schumpeterian perspective, and it follows the idea that cross-country differences in the ability to innovate and to imitate foreign technologies determine the existence of clustering, polarization and convergence clubs. The study investigates the characteristics of different technology clubs and the growth trajectories that they have followed over time. The cross-country empirical analysis first explores the existence of multiple regimes in the data by means of cluster analysis techniques. It then estimates a technology-gap growth equation in a dynamic panel model specification. The empirical results identify three distinct technology clubs, and show that these are characterized by remarkably different technological characteristics and growth behavior.
Topic:
Development, Economics, International Trade and Finance, and Science and Technology

9. Structural Change and the Growth of Industrial Sectors: Empirical Test of a GPT Model

Author:
Fulvio Castellacci
Publication Date:
10-2008
Content Type:
Working Paper
Institution:
Norwegian Institute of International Affairs
Abstract:
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 of 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 the emerging GPT based on information and communication technologies (ICTs) 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.
Topic:
Development, Economics, Globalization, and Industrial Policy