Showing papers by "Bart Verspagen published in 2013"

Promoting productive employment in Sub‐Saharan Africa : a review of the literature

Abstract: This report provides an overview of current research on and knowledge about employment trends and policies in sub-Saharan Africa. Access to productive employment is seen as essential for poverty reduction and the inclusion of the poor in wider society. Productive employment is characterised by a. Sufficient income to permit workers and their dependents a level of consumption above the poverty line; b. Stability of this income over time (absence of vulnerability; c. Decent working conditions and working hours. The challenge of African economies lies not so much in open unemployment, as in the quality of employment as defined by earnings, vulnerability and working conditions. Much employment is located in the informal sector, where vulnerability is a serious problem. High youth employment in young populations is another serious challenge. Causes of employment problems include: lack of the right kinds of structural change, skill mismatches on the labour market, insufficient attention for SMEs with growth potential and insufficient innovation. The paper discusses a wide range of policies to promote productive employment including trade policies, sectoral policies, innovation policies, population policies and employment and labour market policies. The paper concludes with a discussion of emerging debates and contrasting views with regard to productive employment. It summarises the debates on agricultural led industrial development, resource based industrialisation, emergence of non-traditional exports, employment in labour intensive modern commercial agriculture, the role of manufacturing in growth and employment creation, the exploitation of unlimited supplies of labour, role of FDI and promoting pro-poor innovation in the informal sector.

Economic development, growth, institutions and geography

Abstract: In this paper, we test the Rodrik et al (2004) framework to explain differences in development levels across countries by using a broader set of definitions for institutions, geography and economic variables. We use a multi-faceted database to measure institutions in an attempt to go beyond the single-dimension measures that are often employed. We find that institutions trump other factors (geography and trade) when we use GDP per capita as an independent variable. When we expand the dependent variable to include other aspects of development, such as growth and investment, we find that institutions, growth and geography are all important variables. In this case, institutions no longer trump the other factors. In this case, we also find that the same institutions variable that was positively associated to GDP per capita is now negatively correlated with the more dynamic development variable.

Summarizing large spatial datasets: spatial principal components and spatial canonical correlation

Abstract: We propose a method for spatial principal components analysis that has two important advantages over the method that Wartenberg (1985) proposed. The first advantage is that, contrary to Wartenberg's method, our method has a clear and exact interpretation: it produces a summary measure (component) that itself has maximum spatial correlation. Second, an easy and intuitive link can be made to canonical correlation analysis. Our spatial canonical correlation analysis produces summary measures of two datasets (e.g., each measuring a different phenomenon), and these summary measures maximize the spatial correlation between themselves. This provides an alternative weighting scheme as compared to spatial principal components analysis. We provide example applications of the methods and show that our variant of spatial canonical correlation analysis may produce rather different results than spatial principal components analysis using Wartenberg's method. We also illustrate how spatial canonical correlation analysis may produce different results than spatial principal components analysis.

The Economic Value of Patent Portfolios

Abstract: Patent holders may choose to protect innovations with single patents or to develop portfolios of multiple, related inventions. We propose a simple decision-making model in which patent-holders may allocate resources to either expanding the number of related patents or investing in higher value of patents in the portfolio. We estimate the derived value equation using portfolio value data from an inventor survey. We find that investments in individual inventions exhibit diminishing returns, and that much of the value of a portfolio depends on adding new inventions. These effects are less pronounced in high-techology industries, when the inventions rely on external information, and when the inventor holds a doctorate. We also find higher returns to an increase of the number of inventions when firms perceive patent protection to be strong. Thus, a higher number of inventions in a portfolio may reflect both genuine creation of value or stronger appropriability via patents.