An analysis of EU wine trade: A gravity model approach

In this research study, a gravity model approach was used in order to analyze the main factors affecting the trade flows of wine in the EU. The empirical model was applied using data for the first twelve EU countries for the period 1989–97. It has been clearly shown in the empirical literature that gravity models can be successfully applied to a single commodity market. The present study utilized pooled cross-sectional and time series data in a one-way fixed effects model that accounted for country-pair heterogeneity. The results revealed that wine trade was positively influenced by an increase in GDP per capita, since greater income promotes trade. The remoteness of one country from another influenced exports positively and imports negatively, and the quantities traded did not prove to be very sensitive to wine prices. The depreciation of EU currencies and the high production of wine in the EU increased exports and reduced imports, while EU integration enhanced trade among members.     

On the growth and welfare maximizing allocation of public investment

In this paper we present an endogenous growth model to analyze the growth maximizing allocation of public investment among N different types of public capital. Using this general model of public capital formation, we analyze the stability of the long-run equilibrium and we derive the growth-maximizing values of the shares of public investment allocated to the different types of public capital, as well as the growth-maximizing tax rate (amount of total public investment as a share of GDP). The empirical implication of the model is that both the effects of the shares of public investment and the tax rate on the long-run growth rate are non-linear, following an inverse U-shaped pattern. Our analysis is completed by showing that the growth-maximizing shares of public investment and the growth-maximizing tax rate also maximize welfare in the decentralized economy.     

Technology Adoption under Production Uncertainty: Theory and Application to Irrigation Technology

We propose a theoretical framework to analyze the conditions under which a farmer facing production uncertainty (due to a possible water shortage) and incomplete information will adopt a more efficient irrigation technology. A reduced form of this model is empirically estimated using a sample of 265 farms located in Crete, Greece. The empirical results suggest that farmers choose to adopt the new technology in order to hedge against production risk. In addition, we show that the farmer's human capital also plays a significant role in the decision to adopt modern, more efficient irrigation equipment.     

A flexible time-varying specification of the technical inefficiency effects model

The temporal pattern of technical efficiency in the technical inefficiency effects model, as modeled by Battese and Coelli (Empir Econ 20:325–332, 1995), is rather restrictive. Specifically, it a priori imposes a common pattern upon all firms in the sample, which in addition is monotonic over time. Obviously this is an undesirable implication of the model especially when there is evidence of strong firm heterogeneity and/or a long time span. To overcome this shortcoming, the present paper incorporates the Cornwell et al. (J Econom 46:185–200, 1990) flexible specification of the temporal pattern of technical efficiency into technical inefficiency effects model. The proposed formulation is then applied to the agricultural sector of the EU and US, during the period 1973–1993. The empirical result support the proposed formulation as quite different temporal patterns of technical efficiency have been found for the ten countries included in the analysis. We would like to thank an anonymous referee and an associate editor for valuable suggestions in an earlier version of the paper.     

Evaluating the impact of agricultural extension on farms' performance in Crete: a nonneutral stochastic frontier approach

This article attempts to integrate the production‐ and the efficiency‐based approaches for evaluating the impact of extension on farms' performance. For this purpose the nonneutral production frontier model is used, and the empirical analysis refers to a sample of farms from Crete, Greece. The empirical results support the proposed formulation instead of either the production‐ or the efficiency‐based formulations as extension was found to have a statistically significant effect on closing both the technology and management gaps. Public and private extension services were found to be competitive in the production function and complementary in the technical inefficiency effect function. In addition, farms using both public and private extension services achieved a higher degree of technical efficiency than those using either public or private extension services, and farms with no extension services were found to be the least efficient.     

The dynamics of crop sectors in regional development: The case of tobacco

The importance of specific crop sectors can be better cast in a broader framework to account for intersectoral effects. Input-output analysis can provide this framework to assess the importance of the controversial crop, tobacco. In this respect, employment, income, and output multipliers were estimated to demonstrate the dynamics of the sector at the regional and national levels. Furthermore, the impact of totally eliminating tobacco cultivation was computed. Results clearly demonstrate the significance of the tobacco sector and its interrelation with the rest of the economic sectors.This study was partially financed by the Portuguese Association of Tobacco Producers.     

Technical efficiency measures for olive-growing farms in Crete, Greece

This study attempts to contribute to the productivity literature of the agriculture of developing countries by exploring the distribution of technical efficiency over time among olive-growing farms operating in the southern part of Greece—specifically, the island of Crete. A balanced panel data set during the period 1987–93 is utilized for the estimation of the stochastic production frontier. The results show decreasing efficiency for farms since 1987 and suggest the need for a development strategy to improve their economic performance in the context of expected major changes in the Common Agricultural Policy. A further result is that farm size, the farmer's education, the existence of an improvement plan, and land fragmentation are the most important factors explaining inter-farm variation in efficiency.     

On the choice of functional form in stochastic frontier modeling

This paper examines the effect of functional form specification on the estimation of technical efficiency using a panel data set of 125 olive-growing farms in Greece for the period 1987–93. The generalized quadratic Box-Cox transformation is used to test the relative performance of alternative, widely used, functional forms and to examine the effect of prior choice on final efficiency estimates. Other than the functional specifications nested within the Box-Cox transformation, the comparative analysis includes the minflex Laurent translog and generalized Leontief that possess desirable approximation properties. The results indicate that technical efficiency measures are very sensitive to the choice of functional specification. Perhaps most importantly, the choice of functional form affects the identification of the factors affecting individual performance – the sources of technical inefficiency. The analysis also shows that while specification searches do narrow down the set of feasible alternatives, the identification of the most appropriate functional specification might not always be (statistically) feasible. First version received: November 1999/Final version received: July 2001 RID="*" ID="*"  The authors wish to thank Almas Heshmati, Robert Romain, and an anonymous referee for insightful comments and suggestions. Special thanks go to the associate editor who handled the paper, and whose careful reading and suggestions have improved the paper substantially. The second author wishes to acknowledge the financial support from “President SSHRC” from the University of Saskatchewan. The usual caveats with respect to opinions expressed in the paper apply. Senior authorship is shared. This is University of Nebraska-Lincoln Agricultural Research Division Article No. 13270.