On the development and use of farm models for policy impact assessment in the European Union - A review

被引:89
作者
Reidsma, Pytrik [1 ]
Janssen, Sander [2 ]
Jansen, Jacques [2 ]
van Ittersum, Martin K. [1 ]
机构
[1] Wageningen Univ, Plant Prod Syst Grp, POB 430, NL-6700 AK Wageningen, Netherlands
[2] Wageningen UR, Wageningen Environm Res, POB 47, NL-6700 AA Wageningen, Netherlands
关键词
Bio-economic farm model; Agent-based model; Mathematical programming; Integrated assessment; Science-policy interaction; Policy analysis; COMMON AGRICULTURAL POLICY; LAND-USE MODELS; IRRIGATION WATER; INTEGRATED ASSESSMENT; COST-EFFECTIVENESS; DECISION-MAKING; CLIMATE-CHANGE; MULTIFUNCTIONAL AGRICULTURE; GLOBAL SUSTAINABILITY; SOCIOECONOMIC CHANGE;
D O I
10.1016/j.agsy.2017.10.012
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Farm models are potentially relevant tools for policy impact assessment. Governments and international organizations use impact assessment (IA) as an ex-ante policy process and procedure to evaluate impacts of policy options as part of the introduction of new policies. IA is increasingly used. This paper reviews both the use of farm models in such policy lAs in the European Commission, and the development and use of farm models for policy IA by the scientific community over the past decade. A systematic review was performed, based on 202 studies from the period 2007-2015 and results were discussed in a science-policy workshop. Based on the literature review and the workshop, this paper describes progress in the development of farm models, challenges in their use in policy processes and a research and cooperation agenda. We conclude that main issues for a research agenda include: 1) better understanding of farmer decision-making and effects of the social milieu, with increased focus on the interactions between farmers and other actors, the link to the value chain, and farm structural change; 2) thorough and consistent model evaluation and model comparison, with increased attention for model sensitivity and uncertainty, and 3) the organization of a network of farm modellers. In addition, the agenda for science-policy cooperation emphasizes the need for: 4) synthesizing research evidence into systematic reviews as an institutional element in the existing science-policy-interfaces for agricultural systems, 5) improved and timely data collection, allowing to assess heterogeneity in farm objectives, management and indicators, and 6) stronger science-policy interaction, moving from a research-driven to a user-driven approach.
引用
收藏
页码:111 / 125
页数:15
相关论文
共 161 条
[1]   Comparison of conventional and organic arable farming systems in the Netherlands by means of bio-economic modelling [J].
Acs, S. ;
Berentsen, P. B. M. ;
de Wolf, M. ;
Huirne, R. B. M. .
BIOLOGICAL AGRICULTURE & HORTICULTURE, 2007, 24 (04) :341-361
[2]   Effect of yield and price risk on conversion from conventional to organic farming [J].
Acs, Szvetlana ;
Berentsen, Paul ;
Huirne, Ruud ;
van Asseldonk, Marcel .
AUSTRALIAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS, 2009, 53 (03) :393-411
[3]   Proceeding in parallel or drifting apart? A systematic review of policy appraisal research and practices [J].
Adelle, Camilla ;
Jordan, Andrew ;
Turnpenny, John .
ENVIRONMENT AND PLANNING C-GOVERNMENT AND POLICY, 2012, 30 (03) :401-415
[4]   Economic analysis of scenarios for the sustainability of extensive livestock farming in Spain under the CAP [J].
Agustin Franco, Juan ;
Gaspar, Paula ;
Javier Mesias, Francisco .
ECOLOGICAL ECONOMICS, 2012, 74 :120-129
[5]   Impacts of greening measures and flat rate regional payments of the Common Agricultural Policy on Scottish beef and sheep farms [J].
Ahmadi, B. Vosough ;
Shrestha, S. ;
Thomson, S. G. ;
Barnes, A. P. ;
Stott, A. W. .
JOURNAL OF AGRICULTURAL SCIENCE, 2015, 153 (04) :676-688
[6]   Comparison of multi-criteria decision models to approach the trade-off between environmental sustainability and economical viability - a case of nitrogen balance in dairy farming systems in Reunion Island [J].
Alary, V. ;
Gousseff, M. ;
Nidumolu, U. B. .
JOURNAL OF AGRICULTURAL SCIENCE, 2008, 146 :389-402
[7]   Impact of perennial energy crops income variability on the crop selection of risk averse farmers [J].
Alexander, Peter ;
Moran, Dominic .
ENERGY POLICY, 2013, 52 :587-596
[8]   Cost-effective control of air quality and greenhouse gases in Europe: Modeling and policy applications [J].
Amann, Markus ;
Bertok, Imrich ;
Borken-Kleefeld, Jens ;
Cofala, Janusz ;
Heyes, Chris ;
Hoeglund-Isaksson, Lena ;
Klimont, Zbigniew ;
Nguyen, Binh ;
Posch, Maximilian ;
Rafaj, Peter ;
Sandler, Robert ;
Schoepp, Wolfgang ;
Wagner, Fabian ;
Winiwarter, Wilfried .
ENVIRONMENTAL MODELLING & SOFTWARE, 2011, 26 (12) :1489-1501
[9]  
[Anonymous], 2011, ECOL SOC
[10]   Next generation agricultural system data, models and knowledge products: Introduction [J].
Antle, John M. ;
Jones, James W. ;
Rosenzweig, Cynthia E. .
AGRICULTURAL SYSTEMS, 2017, 155 :186-190