Key Words: sectoral growth, macroeconomic uncertainty, VAR, Granger-causality,
JEL classification: C32, C53, O52, E32
Lassaad Lachaal, Ali Chebil and Boubaker Dhehibi
This study investigates firm level technical efficiency of production and its determinants in the Tunisian agro-food industry. To this end, a stochastic production frontier model, in which technical efficiency effects are assumed to be a function of firm-specific variables and time, is estimated using panel data on 46 agro-food firms observed over a period of 14 years. Results indicate that technical efficiency in the sample of firms investigated ranges from a minimum of 45% to a maximum of 90% with an average technical efficiency estimate of 67%. Further, investigation of the sources of technical inefficiency in the sample reveals that the age of capital stock and firm size are negatively associated with efficiency, the share of skilled labour is positively associated with efficiency and, on average, technical efficiency tendes to decline during the period of investigation.
Keywords: Technical efficiency, panel data, stochastic frontier production function,
L. Iliadis, T. Koutroumanidis and G. Arabatzis
The Rural Cooperatives Unions (RCUs) play a significant role in the development of the Greek rural sector, but they are facing significant organizing and administrative problems. The use of methods and techniques of the operational research by the RCUs may contribute significantly in making and supporting rational decisions.
A Decision Support System (DSS) was developed that can provide very important services in the direction of evaluating the existing RCUs and forecasting their future financial performance. The system uses multicriteria analysis based on actual financial data and applies fundamental principles of fuzzy logic in order to achieve the forecasting of the future performance of the eight RCUs that are located in the region of Eastern Macedonia and Thrace (in North-Eastern Greece).
Keywords: Multicriteria Analysis, Rural Cooperatives Unions, Decision Support
The impact of the EU Water Framework Directive on irrigated
G.M. Bazzani, S. Di Pasquale, V. Gallerani, S. Morganti, M. Raggi and D. Viaggi
The objective of the paper is to evaluate the
sustainability of irrigated agriculture under Water Framework Directive
(60/2000) and Agenda 2000. The methodology relies on scenario analysis combined
to farm level multicriteria mathematical programming. The methodology is
applied to the case study of fruit farming in
The research shows that water pricing can improve irrigation efficiency, but the impact of water policy is strongly affected by agricultural policy scenarios. In order to make water policies more socially sound, it is necessary to consider a broader range of impacts and to provide a higher co-ordination between policy goals.
Keywords: irrigation, water policy, multicriteria programming, decision support
system, scenarios, sustainability
Evaluating the importance of non-tariff measures (NTMs) remains a major challenge. This paper reports evidence on the prevalence of NTMs in the agri-food sector based on an EU inventory of business complaints. This data source has the advantage of drawing on experiences of economic agents that are directly involved in trading activities, of containing information on domestic governance issues, and of covering procedural aspects of NTMs. The results suggest that business complaints about price control measures, quantitative import controls, monopolistic measures, technical measures, and certification are particularly frequent.
Keywords: Market access, non-tariff measures, complaints inventory.
JEL Classification: Commercial policy; protection; promotion; trade negotiations
(F130); Country and industry studies of trade (F140)
Carbon sequestration through the planting of multi-annual
energy crops: A dynamic and spatial assessment
Stéphane De Cara and Stelios Rozakis
In this study, we examine the spatial and dynamic
implications of policies aimed at increasing carbon sequestration in
agricultural soils. We consider incentive mechanisms designed to encourage the
planting of energy multi-annual crops that allow higher carbon sequestration
rates for a longer period of time. By using a dynamic micro-economic model, we
simulate the sequence of crop plantings over a given time horizon and
investigate different payment mechanisms (per-ton or per-hectare). We discuss
their implications in terms of regulation policy and efficiency. This model is
then applied to the Central Plains of
JEL Classification : Q25, Q15