Suchergebnisse

Purpose: Important socioeconomic changes have been undergone due to the international economic crisis. In Catalonia (Spain), political changes towards independentism also occurred within the same period. In our research we have explored the consumers' wine preferences in Catalonia in two different scenarios. In particular, we have focused our interest in those preferences regarding the regional origin of the wine. Design/methodology/approach: Data was elicited from two identical Discrete Choice Experiments performed in two times: before (2008) and during the economic crisis (2010) in Catalonia, Spain. Findings: The results imply that the external common circumstances may have had a homogenising influence in consumer choices by decreasing the level of randomness of consumers' selection. Consumers' preferences for a Catalan origin were enhanced during the crisis, while price became the most important attribute. Research limitations: Ideally, the participants involved in both experiments would have been the same. Unfortunately, this was not possible to maintain and it is one of the limitations of this study. We are also aware that other non-controlled variables may have also played a role and the conclusions that are driven should be taken carefully. Originality/value: This paper contributes to the literature of the Discrete Choice Modelling (DCM) using the recently developed Generalised Multinomial Logit Model (GMNL). To our knowledge this is the first application in the literature of wine preferences to measure the impact of the contextual changes (economic and political) in Catalonia (Spain) ; info:eu-repo/semantics/acceptedVersion

International audience ; Our paper assesses the impacts regarding on-farm investment and production decisions resulting from the partially decoupled (PD) payment scheme implemented during the 1990s and first half of the 2000s within the framework of the Common Agricultural Policy (CAP). The Spanish cereal, oilseed, and protein (COP) sector is taken as a case study regarding this effect due to its economic and political relevance in Spain. The empirical analysis is applied to farm-level data from 2000 to 2004 using the Farm Accountancy Data Network (FADN). We use a reduced-form application of the dual model of investment under uncertainty and estimate a system of censored and uncensored equations. PD payments are found to increase short-run production and generate a statically significant increase in the investment in farm assets. Results also show the importance of assessing the effects of PD payments in a dynamic framework as applied in this paper

International audience Our paper assesses the impacts regarding on-farm investment and production decisions resulting from the partially decoupled (PD) payment scheme implemented during the 1990s and first half of the 2000s within the framework of the Common Agricultural Policy (CAP). The Spanish cereal, oilseed, and protein (COP) sector is taken as a case study regarding this effect due to its economic and political relevance in Spain. The empirical analysis is applied to farm-level data from 2000 to 2004 using the Farm Accountancy Data Network (FADN). We use a reduced-form application of the dual model of investment under uncertainty and estimate a system of censored and uncensored equations. PD payments are found to increase short-run production and generate a statically significant increase in the investment in farm assets. Results also show the importance of assessing the effects of PD payments in a dynamic framework as applied in this paper

This paper aims to analyse the impact of changes in the monetary policy and the exchange rate on agricultural supply, prices and exports. The methodology used is based on the multivariate cointegration approach. Ten variables are considered: interest and exchange rates, money supply, inflation, agricultural output and input prices, agricultural supply and exports, income and the rate of commercial openness. The sample period covers annual data from 1967 to 2002. Due to the short sample period, two subsystems are considered. First, long-run relationships are identified in each subsystem. Second, both subsystems are merged in order to calculate the short-run dynamics. The results indicate that changes in macroeconomic variables have an effect on the agricultural sector but the reverse effect does not hold.

The purpose of this article is to study the impact of agricultural policy decoupling on land allocation decisions. Our analysis contributes to the literature by formally assessing the effects of decoupling on farms' crop mix and on the decision to set land aside. The analysis is undertaken within the framework of the model of production under uncertainty developed by Just and Zilberman (1986). Our empirical application focuses on a sample of Kansas farms observed from 1998 to 2001. Results show that US agricultural policy decoupling has resulted in a shift in land use away from program crops towards non-program commodities offering higher expected profits and idle land.

Abstract
The dataset Sustainability performance of certified and non-certified food (https://www.doi.org/10.15454/OP51SJ) contains 25 indicators of economic, environmental, and social performance, estimated for 27 certified food value chains and their 27 conventional reference products. The indicators are estimated at different levels of the value chain: farm level, processing level, and retail level. It also contains the raw data based on which the indicators are estimated, its source, and the completed spreadsheet calculators for the following indicators: carbon footprint and food miles. This article describes the common method and indicators used to collect data for the twenty-seven certified products and their conventional counterparts. It presents the assumptions and choices, the process of data collection, and the indicator estimation methods designed to assess the three sustainability dimensions within a reasonable time constraint. That is: three person-months for each food quality scheme and its non-certified reference product. Several prioritisations were set regarding data collection (indicator, variable, value chain level) together with a level of representativeness specific to each variable and product type (country and sector). Technical details on how relatively common variables (e.g., number of animals per hectare) are combined into indicators (e.g., carbon footprint) are provided in the full documentation of the dataset.