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Author Bojar, W.; Knopik, L.; Żarski, J.
Title (up) Integrated assessment of business crop productivity and profitability for use in food supply forecasting Type Conference Article
Year 2014 Publication Abbreviated Journal
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Abstract Climate change suggests long periods without rainfall will occur in the future quite often. Previous approach on dependence crop-yields from size of rain confirms the existence of a statistically significant relation. We built a model describing the amount of precipitation and taking into account periods of drought, using a mixture of gamma distribution and one point-distribution. Parameter estimators were constructed from rainfall data using the method of maximum likelihood. Long series of days or decades of drought allow to determine the probabilities of adverse developments in agriculture as the basis for forecasting crop yields in the future (years 2030, 2050). Forecasted yields can be used for assessment of productivity and profitability of some selected crops in Kujavian-Pomeranian region. Assumptions and parameters of large-scale spatial economic models will be applied to build up relevant solutions. Calculated with this approach output could be useful to expect decrease in agricultural output in the region. It will enable to shape effective agricultural policy to know how to balance food supply and demand through appropriate managing with stored food raw material and/or import/export policies. Used precipitation-yields dependencies method let verify earlier used methodology through comparison of obtained solutions concerning forecasted yields and closed to it uncertainty analysis.This work was co-financed by NCBiR, Contract no. FACCE JPI/04/2012 – P100 PARTNER
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Series Editor Series Title Abbreviated Series Title FACCE MACSUR Mid-term Scientific Conference
Series Volume 3(S) Sassari, Italy Series Issue Edition
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Area Expedition Conference FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy
Notes Approved no
Call Number MA @ admin @ Serial 5090
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Author Bojar, W.; Knopik, L.; Żarski, J.; Kuśmierek-Tomaszewska, R.
Title (up) Integrated assessment of crop productivity based on the food supply forecasting Type Journal Article
Year 2016 Publication Agricultural Economics – Czech Abbreviated Journal Agricultural Economics – Czech
Volume 61 Issue 11 Pages 502-510
Keywords climate changes; decision-making tools; estimation of parameters; forecasted outputs; gamma distribution; predicting yields; climate-change; emissions scenarios; impacts; potato; yield; growth; policy; scale; water
Abstract Climate change scenarios suggest that long periods without rainfall will occur in the future often causing instability of the agricultural products market. The aim of our research was to build a model describing the amount of precipitation and droughts for forecasting crop yields in the future. In this study, we analysed a non-standard mixture of gamma and one point distributions as the model of rainfall. On the basis of the rainfall data, one can estimate parameters of the distribution. Parameter estimators were constructed using a method of maximum likelihood. The obtained rainfall data allow confirming the hypothesis of the adequacy of the proposed rainfall models. Long series of droughts allow one to determine the probabilities of adverse phenomena in agriculture. Based on the model, yields of barley in the years 2030 and 2050 were forecasted which can be used for the assessment of other crops productivity. The results obtained with this approach can be used to predict decreases in agricultural production caused by prospective rainfall shortages. This will enable decision makers to shape effective agricultural policies in order to learn how to balance the food supplies and demands through an appropriate management of stored raw food materials and import/export policies.
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Language English Summary Language Original Title
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ISSN 0139-570x ISBN Medium Article
Area Expedition Conference
Notes CropM, TradeM, ft_macsur Approved no
Call Number MA @ admin @ Serial 4644
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Author Bojar, W.; Leszek, K., Jacek Zarski, Wojciech Zarski, Cezary Slawinski, Piotr Baranowski
Title (up) Integrating TradeM and CropM MACSUR models for regional case studies in Poland Type Conference Article
Year 2013 Publication Abbreviated Journal
Volume Issue Pages
Keywords TradeM
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Area Expedition Conference MACSUR TradeM Workshop on Global Food Security Challenges – European Research approaches. Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany, 2013-11-18 to 2013-11-20
Notes Approved no
Call Number MA @ admin @ Serial 2330
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Author Bojar, W.; Sinabell, F.; Verburg, R.
Title (up) Inventarisation of TradeM models Type Conference Article
Year 2012 Publication Abbreviated Journal
Volume Issue Pages
Keywords TradeM
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Area Expedition Conference Kickoff Meeting and Workshop: Modelling, European Agriculture with Climate Change for Food Security, 2012-10-15 to 2012-10-16
Notes Approved no
Call Number MA @ admin @ Serial 2331
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Author Bojar, W.
Title (up) MACSUR TradeM Workshop Exploring new ideas for trade and agriculture model integration for assessing the impacts of climate change on food security Type Report
Year 2013 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 1 Issue Pages M-T0.3
Keywords
Abstract The first TradeM workshop was held at Haifa University (Israel), 3-5 March 2013. It was a  state-of-the-art Workshop ‘Economic Modelling on Agriculture with Climate Change for  Food Security’. Sixteen papers are presented, following a call for abstracts submitted in  December 2012.  Presented, reviewed and discussed models, their inputs, outputs and main results of  case-study analyses let indicate of how the model can be used to analyze the  impacts of climate change on food security, how the model can contribute to, and  benefit from other economic and/or crop and livestock models and what input is  needed from CropM and LiveM. There were explored ideas for closer integration and  linkage between agriculture and economic models and between economic models at  different levels, addressing issues of model structure, scale and data processing. Focus was  on model comparison, gap analysis, scientific advancements and improvements. We also  addressed the key challenges of the economic models (macro- versus micro-economics;  uncertainty versus risks; variability and distribution), and identified ways to cope with  scaling, uncertainty, risks. The workshop let identify the requirements from CropM and  LiveM, find policy questions that MACSUR is going to address, start with the content of the  case studies and plan for publication of scientific papers.  The sessions were broadcast live via the internet. Twenty-four registered participants and  about 65 local visitors attended the workshop.This work was co-financed by NCBiR, Contract no. FACCE JPI/04/2012 – P100 PARTNER No Label
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Area Expedition Conference
Notes Approved no
Call Number MA @ admin @ Serial 2260
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