What Determines Sectoral Trade in the Enlarged EU?

In this paper, we estimate a sectoral gravity model for trade within a heterogeneous trade bloc, the enlarged EU, comprised of a high‐income group (wealthiest EU), a middle‐income group (Greece, Portugal and Spain), and a low‐income group (new Central and Eastern European member countries). The estimation was conducted on sectors with different degrees of scale economies and skill‐intensities in the presence of transport costs. The results offer support for the call to incorporate trade theories based on both endowments and scale economies. In addition, whilst integrating poorer countries is beneficial for all of the participants in the bloc, there is still a role for a redistribution policy, such as the EU's Regional Policy, which should comprise a mix of policies, focusing on both income and education/skills, together with infrastructure development.     

Passthrough of Exchange Rate and Tariffs into Import Prices of India: Currency Depreciation versus Import Liberalization*

This paper examines the extent of passthrough of exchange rate and tariff changes into import prices using sectoral panel data (at the two‐digit SITC level) for the post‐reform period in India (1990–2001). After having controlled for unobserved effects that might have an impact on the import prices by using sector dummies, we find that on average exchange rate passthrough (ERPT) is a dominant effect compared to tariff rate passthrough (TRPT) in explaining changes in India's import prices. The sectoral panel results suggest that the passthrough of exchange rates and tariff rates varies across products. ERPT into import prices is significant in 12 industries, whereas TRPT is significant only in six industries, with full passthrough. However, ERPT is incomplete only in four industries, but TRPT is incomplete in 36 industries, which means that firms exporting to India more frequently adopt strategies to maintain their market share against tariffs than against exchange rate changes. The sectoral differences in passthrough seem to be related to the sector's share in total imports and the sector's effective protection rate. Hence, India's relatively high levels of protection have an impact on the behavior of foreign exporters.     

Modelling satisfaction with ATMs: A cross-country comparison

The aim of this paper is to extend the work of Goode and Moutinho by applying their model to a different country, namely Hungary, and then comparing the results. The hypothesised model links overall satisfaction to seven explanatory variables (namely expectations, perceived risk, confidence, recommendations to others, level of charges, frequency of use and full use of services). This paper is divided into four parts, the first of which looks at the UK and Hungarian banking systems. The second section describes the methodology and data collection used in this study. The third section analyses the empirical results derived from applying the model and the final section discusses the results and managerial implications of the results obtained from this study.     

SECTORAL EXCHANGE RATE PASS-THROUGH: TESTING THE IMPACT OF POLICY REFORMS IN INDIA

This paper analyses the impact of India's policy reforms on exchange rate pass‐through into import and export prices, using panel data (at one‐digit SITC level) for pre‐ (1980–90) and post‐reform (1991–2001) periods. While the pass‐through into import prices has declined, the pass‐through into export prices (in USD terms) has increased during the 1990s. The results suggest that, relative to rupee depreciation, Indian exporters increased their USD prices around 20% in the 1980s, but decreased them by around 70% in the 1990s. Moreover, the number of sectors exhibiting some degree of pass‐through increased in the 1990s (six), relative to the 1980s (three). These changes may be attributable to the elimination of currency and trade controls, which increased competition among firms and fostered a concern with market share gains in the 1990s over an attempt to use depreciations to increase profits in the 1980s.     

The influence of green practices on supply chain performance: A case study approach

The main objective of this exploratory paper is to investigate the relationships between green practices of supply chain management and supply chain performance. This relationship is investigated in the context of the automotive industry. Five research propositions are suggested and tested with empirical data derived from five case studies taken from the Portuguese automotive supply chain. The data analysis identifies the most important green practices considered by managers, as well as the performance measures that are most appropriate and most widely used as means to evaluate the influence of green practices on supply chain performance. A conceptual model was derived from the data analysis and it can be used to assess the influence of green practices on supply chain performance. This model provides evidence as to which green practices have positive effects on quality, customer satisfaction and efficiency. It also identifies the practices which have negative effects on supply chain performance.     

A Gravity Model Forecast of the Potential Trade Effects of EU Enlargement: Lessons from 2004 and Path‐dependency in Integration

This paper uses a gravity model to forecast the potential impact on trade balances and trade patterns of the 2004 EU enlargement. The results suggest that gross trade creation for the accession economies is about 25 per cent of their 2003 trade. Although membership of the EU creates trade it also results in trade diversion; that is, a declining share of accession country exports and imports with non‐EU15 countries. Overall, the trade balances of the accession countries suffer larger trade deficits after accession due to import growth surpassing export growth. The extent of increase in the trade deficit due to accession is inversely related to the level of integration and income of the new members. Hence integration is path‐dependent and the EU should take this into account when preparing for further enlargements to the Balkans and Southeast Europe.     

Bayesian estimation of inefficiency heterogeneity in stochastic frontier models

Estimation of the one sided error component in stochastic frontier models may erroneously attribute firm characteristics to inefficiency if heterogeneity is unaccounted for. However, unobserved inefficiency heterogeneity has been little explored. In this work, we propose to capture it through a random parameter which may affect the location, scale, or both parameters of a truncated normal inefficiency distribution using a Bayesian approach. Our findings using two real data sets, suggest that the inclusion of a random parameter in the inefficiency distribution is able to capture latent heterogeneity and can be used to validate the suitability of observed covariates to distinguish heterogeneity from inefficiency. Relevant effects are also found on separating and shrinking individual posterior efficiency distributions when heterogeneity affects the location and scale parameters of the one-sided error distribution, and consequently affecting the estimated mean efficiency scores and rankings. In particular, including heterogeneity simultaneously in both parameters of the inefficiency distribution in models that satisfy the scaling property leads to a decrease in the uncertainty around the mean scores and less overlapping of the posterior efficiency distributions, which provides both more reliable efficiency scores and rankings.     

PLAYING THE FERTILITY GAME AT WORK: AN EQUILIBRIUM MODEL OF PEER EFFECTS

We study workplace peer effects in fertility decisions using a game theory model of strategic interactions among coworkers that allows for multiple equilibria. Using register‐based data on fertile‐aged women working in medium‐sized establishments in Denmark, we uncover negative average peer effects. Allowing for heterogeneous effects by worker type, we find that positive effects dominate across worker types defined by age or education. Negative effects dominate within age groups and among low‐education types. Policy simulations show that these estimated effects make the distribution of where women work an important consideration, beyond simply if they work, in predicting population fertility.