This study examines how exchange-rate volatility affected Ireland's exports to its most important trading partner, the United Kingdom, from 1979 to 1992. To ensure reliable inferences regarding income and price elasticities and the impact of exchange rate volatility on exports, the time series properties of the series used are investigated. The analysis here is conducted at both aggregate and 2-digit SITC Division levels since exchange rate volatility can reasonably be presumed to affect sectors differently. Since expectations matter for exchange rate determination real volatility was generated according to a first-order GARCH process. Both real and nominal volatility were important determinants for over 35% of Irish-UK trade, with positive effects predominating. This may be due to the nature of Irish firms operating in a small open economy where they have little option in dealing with increased exchange rate risk except to 'weather the storm' for fear of losing market share or facing costs of either exit, re-entry, or both.

Purpose The purpose of this paper is to offer clarity on a central concept introduced in Porter’s The Competitive Advantage of Nations, i.e. the cluster. The authors situate the concept introduced by Porter (1990) relative to two of its antecedents, the industrial district and industrial complex. Placing the cluster in a historical context permits consideration of the extent to which it, as a concept for analysis, may be differentiated from other geography-based approaches to economic phenomena. In this way, this paper examines the added value of the cluster concept derived from economic factors. Design/methodology/approach The paper provides a detailed literature review tracing the evolution of theories of location and agglomeration into which Porter’s cluster fits. The evolution of Porter’s own conceptualisation of the cluster and how this relates to theoretical clarity surrounding the concept is explored. Comparative analysis of theories of location, agglomeration and clustering is provided to identify similarities and differences across the approaches and identify the added value of the cluster concept in relation to other approaches. Findings Clustering represents a process associated with spatial organisational form which may offer advantages in efficiency, effectiveness and flexibility. Cluster benefits can be appreciated through the lens of Young’s (1928) identified sources of increasing returns. A key aspect in clustering is revealed in terms of its role in enabling four sources of increasing returns. The authors outline how these sources of increasing returns are related to “soft” processes of networking, interaction and individual and collective learning. Porter’s Diamond is a self-reinforcing system which can permit increasing returns and reinforce such tendencies of economic activity within agglomerations. Originality/value Added value from Porter’s cluster concept is identified in the context of both its locational anchoring and in terms of its potential for understanding the role of exploitation of increasing returns for development. This points to the importance of focusing on clustering as a process rather than on cluster within typologies of organisational form. This implies that the nature of relationships (and how they change) within and across markets, institutions and actors lies at the heart of clustering because of their roles in knowledge-generation, including innovation, knowledge sharing and upgrading.

New evidence is presented on the degree of aggregate and sectoral labour productivity convergence among 11 EU countries between 1970 and 1990. As with studies for other groups of countries, it is found that there is a greater degree of aggregate than sectoral convergence. Aggregate productivity converged at 0.9 percent per annum, with agriculture and manufacturing both diverging and only services converging (0.6 percent p.a.). We contend that structural change provides one explanation for this finding. When measured as changes in sectoral employment shares, structural change accounted for between 50 percent and 66 percent of the overall rate of aggregate productivity convergence among the EU countries over the period. Countries with relatively low levels of aggregate productivity benefited most from structural change.

No abstract

Recognizing that gains historically attributed to trade capture instead the roles of institutions and geography, we estimate the relationship between labor productivity and trade for a panel of countries, 1980 to 2000. We use real and nominal openness as measures of trade. The endogeneity of trade and institutional quality is accounted for with instruments. Our trade instrument is based on a theoretically motivated gravity equation and uses a more comprehensive data set than in related studies. Fixed-and random-effects and system-GMM panel estimation methods address potential biases associated with cross-section estimations. We find a robust relationship between real openness and labor productivity from the 1990s. Countries that trade more generate higher levels of productivity, supporting an institutional theory of growth. We find evidence that countries with low-quality institutions benefit from openness to trade and that the positive effect of trade on labor productivity is lower for more populated countries.