Heterogeneity in Production Structures and Efficiency: An Analysis of the Czech Food Processing Industry

The present study analyses firm heterogeneity and sector‐specific technology. The theoretical model stands on the assumption of maximizing the return on capital and overcomes problems involved in simple profit maximization. The results show that a random parameter model with sector dummies and heteroscedasticity is the most appropriate model specification for distinguishing firm‐level and sector‐level efficiency and heterogeneity. The heterogeneity among firms as well as among sectors was found to be an important characteristic in Czech food processing. This holds for production technology as well as for technical efficiency. Moreover, the decomposition of total variance shows that intrasectoral differences in technologies are much more pronounced than the intersectoral differences. The differences in intrasector heterogeneity also suggest that the food processing industry will be subject to accelerated structural change in the coming years. Moreover, we found that on average the companies highly exploit their production possibilities. However, some companies cannot keep pace with competitors. Because leapfrogging does not appear to be present in selected industries (except for Milling), structural change is expected to occur in such a way that the most successful companies will strengthen their position.     

Linking of sample data to small areas

We consider methods for estimating the means of survey variables in domains of a finite population, where sample sizes are too small to obtain reliable direct estimates. We construct generalized compositions from the direct and traditional design-based synthetic estimators and propose the methodology for evaluating their coefficients. This methodology measures similarities among sample elements and estimates of the domain means. We propose the compositions for two cases of auxiliary information: domain-level characteristics are available; true means of auxiliary variables are available for the estimation domains, and unit-level auxiliary vectors are known for the sample elements. In the simulation study, we show where the generalized compositions improve the traditional synthetic and composite estimators.     

Build Coalitions to Fit: Autonomy Expectations,Competence Mobilization,and Job Crafting

Job crafting offers several beneficial organizational outcomes, yet little is known about what makes employees engage in it. In particular, the role of leaders in influencing their subordinates to engage in job crafting has been insufficiently studied. Drawing on role theory, we suggest that the congruence of leader‐subordinate autonomy expectations nurtures subordinates’ experiences of having their competences adequately utilized in their jobs. This experience, which involves the competence mobilization of their work roles, subsequently fosters subordinates’ engagement in job‐crafting behavior. A two‐stage field study of 145 leader‐subordinate dyads using cross‐level polynomial regression and response surface analysis supported the (in)congruence hypotheses. The results also demonstrated that subordinates’ perceived competence mobilization mediates the relationship between autonomy expectation (in)congruence and job crafting. In addition, leader coalition as a moderator strengthens the effect of perceived competence mobilization as a psychological condition for job crafting. Implications for practice and future research are discussed. © 2016 Wiley Periodicals, Inc.     

Do Neighbours Influence Value‐Added‐Tax Introduction? A Spatial Duration Analysis

The spatial survival models typically impose frailties, which characterize unobserved heterogeneity, to be spatially correlated. However, the spatial effect may not only exist in the unobserved errors, but it can also be present in the baseline hazards and the dependent variables. A new spatial survival model with these three possible spatial correlation structures is explored and used to investigate the implementation of value‐added tax (VAT) in 99 countries over the period 1970–2009. Estimation is performed by a Bayesian approach through the Markov chain Monte Carlo method. The estimation results suggest the presence of a significant spatial correlation among the VAT introductions of neighbouring countries.     

Exporting status and success in innovation: evidence from CIS micro data for EU countries

Using a large sample of micro data from four waves of Community Innovation Survey for EU member states, we investigate the relationship between firms’ export status and different sorts of innovation activities. We find systematically positive relationship between the two, whereby the strongest correlation is found in case of product innovation and the weakest in case of organizational innovations. While aggregate data show that innovation success is increasing in firm size, we find that exporting has the strongest effect on innovation in the medium-sized firms. We also explore cross-country differences in the impact of export status on innovation. Countries with a higher share of exports in GDP and greater share of spending on research and development generally display a stronger correlation between exporting status and innovation.     

The Performance of Trading Firms in the Services Sectors – Comparable Evidence from Four EU Countries

We examine trade complexity and the implications of adding additional dimensions of trade for firm performance among services producers. We use unique firm‐level data to compare these patterns across four EU countries. Overall, services firms are relatively less engaged in trade than manufacturing firms; they mostly trade goods and are more likely to import than to export. Trade in services is quite rare; services are more likely to be traded by firms already trading goods. Trading firms in the services sectors are significantly larger, more productive and pay higher wages than non‐traders. Two‐way traders outperform one‐way traders. Changes in trading status by either adding another dimension of trade (imports, exports) or another type of product (goods, services) are infrequent and are associated with significant preswitching premia. In contrast, learning effects from switching trading status are uncommon. This points to significant fixed cost of being engaged in trade and confirms some previous findings that trading services firms have similar traits as their manufacturing counterparts. Apart from greater trade participation in smaller countries, we do not observe systematic differences in terms of trade or switching premia between the four countries that might be attributable to differences in country characteristics.     

Estimating persistent and transient technical efficiency and their determinants in the presence of heterogeneity and endogeneity

We develop an estimation procedure that generates consistent estimates of the technology parameters, long-run (persistent) and short-run (transient) technical inefficiencies and the marginal effects of their determinants for the stochastic frontier model developed by Colombi et al. (2014, Journal of Productivity Analysis 42, 123) and Kumbhakar et al. (2014, Journal of Productivity Analysis 41, 321). Our approach accounts for three sources of potential endogeneity: (i) unobserved heterogeneity; (ii) simultaneity of input use with both types of technical efficiency; (iii) potential correlation of the noise term with the regressors. Using this approach we examine the effect of direct payments and farm size on the persistent and transient technical efficiency of French crop farms before and after the European Union's Common Agricultural Policy decoupling reform of 2003. Our results show that subsidy payments per hectare of utilised agricultural land had a significant positive effect on persistent technical efficiency and a significant negative effect on transient technical efficiency during the period before decoupling. For the period after the reform, the effect of subsidies is found to be significantly negative for persistent technical efficiency and insignificant for transient technical efficiency. The overall effect of subsidies on technical efficiency is found to be negative in both periods, albeit substantially lower in the period after decoupling. The effect of farm size on technical efficiency is found to be significant only for the period prior to the reform: it reduced persistent technical inefficiency but increased transient technical inefficiency during that period.     

What Drives Clarity of Central Bank Communication About Inflation?

This paper examines whether the clarity of central bank communication about inflation varies with the economic environment. Using readability statistics and content analysis, we study the clarity of communication on the inflation outlook by seven central banks across three continents during the recent decade. We uncover significant and persistent differences in clarity over time and across countries. However, identifying determinants of clarity that are robustly relevant across our sample of central banks proves elusive. Overall, our findings suggest that a single model for clarity of central bank communication is not appropriate. Rather, when studying clarity of communication, country-specific and institution-specific factors are highly relevant.