Effects of the measures envisaged in “Agenda 2000” on arable crop producers and beef and veal producers: an application of Positive Mathematical Programming to representative farms of a Spanish region

Júdez, Lucinio; Chaya, Carolina; Martínez, Santiago García; González, Alonso

doi:10.1016/s0308-521x(00)00051-2

Cited by 47 publications

(12 citation statements)

References 2 publications

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“…Science can contribute to these governmental demands for impact assessment by developing tools that can, in a transparent, rigorous and repeatable fashion, make impact assessments of agricultural and environmental policies better informed. Bioeconomic farm models have been proposed for such ex-ante assessments (Flichman and Jacquet, 2003;Janssen and Van Ittersum, 2007) and many recent applications (Donaldson et al, 1995;Flichman, 1996;Judez et al, 2001;Berentsen, 2003;Veysset et al, 2005;Onate et al, 2006;Riesgo and Gomez-Limon, 2006;Semaan et al, 2007) assess the impaets of policy changes on economie, environmental and social indicators of agricultural systems. If a bio-economic farm model is to be used as a basis for such exante assessments of agricultural and environmental policies at European level, some requirements must be fulfilled, i.e.…”

Section: Introductionmentioning

confidence: 99%

FSSIM, a bio-economic farm model for simulating the response of EU farming systems to agricultural and environmental policies

Louhichi

Kanellopoulos

Janssen

et al. 2010

Agricultural Systems

136

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Keywords: Bio-economic model Integrated assessment Environmental policy Market liberalizationThe disciplinary nature of most existing farm models as well as the issue specific orientation of most of the studies in agricultural systems research are main reasons for the limited use and re-use of bio-economic modelling for the ex-ante integrated assessment of policy decisions. The objective of this article is to present a bio-economic farm model that is generic and re-usable for different bio-physical and socio-economic contexts, facilitating the linking of micro and macro analysis or to provide detailed analysis of farming systems in a specific región. Model use is illustrated in this paper with an analysis of the impaets of the CAP reform of 2003 for arable and livestock farms in a context of market liberalization. Results from the application of the model to representative farms in Flevoland (the Netherlands) and Midi-Pyrenees (France) shows that CAP reform 2003 under market liberalization will cause substantial substitution of root crops and durum wheat by vegetables and oilseed crops. Much of the set-aside área will be put into production intensifying the existing farming systems. Abolishment of the milk quota system will cause an increase of the average herd size. The average total gross margin of farm types in Flevoland decreases while the average total gross margin of farms in Midi-Pyrenees increases. The results show that the model can simúlate arable and livestock farm types of two regions different from a biophysical and socio-economic point of view and it can deal with a variety of policy instruments. The examples show that the model can be (re-)used as a basis for future research and as a comprehensive tool for future policy analysis.

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Section: Introductionmentioning

confidence: 99%

FSSIM, a bio-economic farm model for simulating the response of EU farming systems to agricultural and environmental policies

Louhichi

Kanellopoulos

Janssen

et al. 2010

Agricultural Systems

136

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“…This recovered additional information from the observed activity levels, enabling specification of a non-linear objective function such that the resulting non-linear model exactly reproduced the observed behavior of farmers [14][15][16][17]. In recent years, the PMP methodology has been applied in various research areas and has been improved to consider many relevant aspects [18][19][20][21][22][23][24][25][26]. Heckelei et al [27] recently reviewed the more important PMP models that have been development and used.…”

Section: Model Calibration: Risk Aversion and Positive Mathematical Pmentioning

confidence: 99%

Simulating Volumetric Pricing for Irrigation Water Operational Cost Recovery under Complete and Perfect Information

Giraldo

Cortignani

Dono

2014

Water

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This study evaluated the implementation of a volumetric and cost-recovery pricing method for irrigation water under symmetric information conditions without the inclusion of implementation costs. The study was carried out in two steps. First, a cost function was estimated for irrigation water supplied by a water user association to a typical Mediterranean agricultural area, based on a translog function. Second, the economic impact of a pricing method designed according to this cost function was simulated using a mathematical programming territorial model for the same agricultural area. The outcomes were compared with those for the current pricing method. The impacts of this pricing method are discussed in terms of its neutral effects on total farm income and, conversely, the importance of the redistributive effects.

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“…Among these applications one can mention: in the EU (Donaldson et al 1995;Boussemart et al 1996;Ruben and Arie 1998;Judez et al 2001;Berentsen 2003;Veysset et al 2005;Onate et al 2006;Riesgo and Gomez-Limon 2006;Semaan et al 2007;Van Ittersum et al 2008), in Canada (Lakshminarayan et al 1996), Argentina (Deybe and Flichman 1991;Vicien 1991), in Tunisia (Louhichi et al 1999;Mimouni et al 2000;Louhichi 2001), in Mali (Ruben and van Ruijven 2001), etc. Other applications were performed by Foltz John et al (1995), Vatn et al (1999), Bouzaher et al (1995), Barbier and Bergeron (1999), etc.…”

Section: An Overview On the Bio-economic Approachmentioning

confidence: 99%

Bio-economic modelling of soil erosion externalities and policy options: a Tunisian case study

Louhichi

Flichman

Boisson³

2010

J Bioecon

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Effects of the measures envisaged in “Agenda 2000” on arable crop producers and beef and veal producers: an application of Positive Mathematical Programming to representative farms of a Spanish region

Cited by 47 publications

References 2 publications

FSSIM, a bio-economic farm model for simulating the response of EU farming systems to agricultural and environmental policies

FSSIM, a bio-economic farm model for simulating the response of EU farming systems to agricultural and environmental policies

Simulating Volumetric Pricing for Irrigation Water Operational Cost Recovery under Complete and Perfect Information

Bio-economic modelling of soil erosion externalities and policy options: a Tunisian case study

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