发帖
雷达卡
会议名称(英文)： 133th EAAE Seminar
所属学科： 理论经济学,应用经济学
开始日期： 2013-06-15
结束日期： 2013-06-16
所在国家： 希腊
所在城市： 希腊
具体地点： Chania, Crete, Greece
主办单位： European Association of Agricultural Economists
摘要截稿日期： 2013-01-31
[ 会务组联系方式 ] 联系人：
联系电话： +30 28210 35080-81
传真： +30 28210 35001
E-MAIL： confer@maich.gr
会议网站： http://www.eaae.org/eaae_site/index.php?option=com_content&view=category&layout=blog&id=946&Itemid=28
会议背景介绍： The agricultural sector in the EU is currently facing an era of change and farmers need to adapt to the changing patterns induced by the food crisis, the global financial crisis, farm output price volatility, macroeconomic instability, climate change and a new post-2013 CAP. Throughout this unstable period, the impact of these changes on farmersˇ incomes will be a key issue to be addressed by EU policy makers, thereby stressing the need for new comprehensive analytical tools, well-adapted to the Commissions informatics environment and well-suited to reliably assessing the effects of the anticipated changes. Since the recent radical reform of the CAP, markets have been extremely volatile, while farmers are becoming more exposed to risk as they have to cope with a deregulated and increasingly liberalized and competitive world market, and are nowadays attempting to adjust to this new environment.
In parallel, these new market and policy conditions will certainly have an effect on the use of natural resources and hence on the environmental concerns of farming activities.
It is generally anticipated that agricultural and food prices will remain quite volatile in the years ahead, posing a major challenge both for producers, with respect to having to operate under increased uncertainty, as well as for EU policy makers, who must effectively monitor the changing environment and its effects on farmers behavior and performance, so as to fittingly adopt the policy measures.
征文范围及要求：
本帖隐藏的内容
The use of mathematical programming tools to analyzefarmers economic behavior.
Development of dual and primal econometric models
to analyze the impact of EU and national policies on
farming activities.
Modeling tools for the analysis of rural household
behavior with respect to farm policy environmental
changes.
Stochastic simulation methods for model simulation and
policy analysis.
Partial and general equilibrium models for agricultural
and natural resource and environmental policy analysis.
Effects of market developments on farmersˇ production
decisions.
Development of modeling tools for the analysis of
natural resource and climate change policy use within
the changing European policy environment.
Economic and environmental impacts of agricultural
research and extension.
Mathematical modeling and optimization of logistics
quality in the food supply chain.
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