Agricultural Cooperative Management and Policy: New Robust, by Constantin Zopounidis, Nikos Kalogeras, Konstadinos Mattas,

By Constantin Zopounidis, Nikos Kalogeras, Konstadinos Mattas, Gert van Dijk, George Baourakis

This booklet specializes in using farm point, micro- and macro-data of cooperative structures and networks in constructing new strong, trustworthy and coherent modeling instruments for agricultural and environmental coverage research. The efficacy of public intervention on agriculture is basically decided through the lifestyles of trustworthy info at the results of coverage recommendations and marketplace advancements on farmers' creation judgements and particularly, on key matters reminiscent of degrees of agricultural and non-agricultural output, land use and earning, use of normal assets, sustainable-centric administration, structural switch and the viability of relatives farms. over the past years, numerous tools and analytical instruments were constructed for coverage research utilizing numerous units of knowledge. Such equipment were in line with built-in methods with a purpose to examine the above key concerns and feature hence tried to supply a strong atmosphere for selection making, really in an period of radical swap for either agriculture and the broader economy.

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Additional resources for Agricultural Cooperative Management and Policy: New Robust, Reliable and Coherent Modelling Tools

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Alternative irrigation techniques. These deviations are not immediately identifiable by analyzing each single irrigation typology, but IWP values are higher if the dispensation is not continuous, particularly evident in the case of SIS, while a more traditional conduction (CFW and CFS) does not show significant variations despite increasing fees. On the other hand, if rising tariffs lead to more water-saving methods, a slight change in the overall productivity along scenarios occurs (respectively +1 % from #1 to #2, +4 % from #1 to #3 and +12 % from currently to #3).

D. student in Statistical Science at the Department of Statistics ‘‘Paolo Fortunati’’, University of Bologna. She graduated in Statistics and Economy with a thesis about the use of VAR models to forecast commodities prices. Currently she is analyzing the gluten-free market and celiac consumer behavior. Since 2013 she is working for ECONAG, a spin-off of University of Bologna, on the ‘‘Commodities prices observatory’’ project. Stefano Ghinoi Ph. D. candidate in Statistical Sciences at the University of Bologna.

2010). Agricultural outlook 2010–2019. , & Thirtle, C. (2009). Three bubbles and a panic: An explanatory review of recent food commodity prices events. Food Policy, 34(2), 119–129. Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1–48. Author Biographies Anna Caterina Leucci Ph. D. student in Statistical Science at the Department of Statistics ‘‘Paolo Fortunati’’, University of Bologna. She graduated in Statistics and Economy with a thesis about the use of VAR models to forecast commodities prices.

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