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Purpose The purpose of this paper is to analyse differences in the drivers of firm innovation performance across sectors. The literature often makes the assumption that firms in different sectors differ in their propensity to innovate but not in the drivers of innovation. The authors empirically assess whether this assumption is accurate through a series of econometric estimations and tests.Design/methodology/approach The data used are derived from the Irish Community Innovation Survey 2004-2006. A series of multivariate probit models are estimated and the resulting coefficients are tested for parameter stability across sectors using likelihood ratio tests.Findings The results indicate that there is a strong degree of heterogeneity in the drivers of innovation across sectors. The determinants of process, organisational, new to firm and new to market innovation varies across sectors suggesting that the pooling of sectors in an innovation production function may lead to biased inferences.Research limitations/implications The implications of the results are that innovation policies targeted at stimulating innovation need to be tailored to particular industries. One size fits all policies would seem inappropriate given the large degree of heterogeneity observed across the drivers of innovation in different sectors.Originality/value The value of this paper is that it provides an empirical test as to whether it is suitable to group sectoral data when estimating innovation production functions. Most papers simply include sectoral dummies, implying that only the propensity to innovate differs across sectors and that the slope of the coefficient estimates are in fact consistent across sectors. [ABSTRACT FROM AUTHOR]

Purpose – The purpose of this paper is to analyse income inequality for a sample of 14 European countries and their composite regions using data from the Cambridge Econometrics regional dataset from 1980 to 2009. The purpose of the paper is to provide insight into the dynamics of regional and national cohesion among the EU-14 countries studied. Design/methodology/approach – Initially, inequality is decomposed using the Theil coefficient into between and within country inequality to assess the extent to which convergence has occurred. To investigate the underlying causes of the changes in inequality, the Theil coefficient is further decomposed to assess the contribution of productivity and employment-population ratio differentials to inequality. Findings – The results indicate that while between-country inequality has declined, within-country inequality has increased by approximately 50 percent. Subsequent decomposition indicates that while productivity levels among regions have converged, the employment-population ratios have diverged substantially driving increasing levels of inequality. This suggests that while EU cohesion policies have reduced productivity inequalities they have had little effect in stimulating convergence of employment-population ratios across regions. Research limitations/implications – The paper argues that national priorities, particularly in the context of the current European economic crisis, are likely to hinder European Union level policies to reduce income inequality at a regional level. This may result in further increases in regional inequality among European regions. Originality/value – This paper's main contribution is to highlight how national convergence can lead to regional divergence being overlooked. The value of the paper is that it provides policy insights, based on empirical evidence, for European cohesion policy. [ABSTRACT FROM AUTHOR]

This paper estimates the private returns to four different kinds of R&D spending on the probability of Irish and foreign-owned businesses engaging in product, process and organizational innovation. By providing econometric analysis of nearly 2000 businesses in the Community Innovation Survey: 2004 to 2006, it makes an important contribution to our understanding of the effects of Irish innovation policy, which has incentivized businesses to spend on R&D in Ireland. The main findings are that Irish-owned businesses are significantly more likely than foreign-owned to introduce new products as a result of creative R&D work undertaken. Foreign-owned businesses, which spend nearly 6 times more per worker on R&D than Irish-owned, enjoy very high returns mostly from the purchase or licence of patents. This reflects a fundamental difference in the innovation activities of these businesses, which is critical for policymakers' understanding of the Irish innovation system. [ABSTRACT FROM AUTHOR]