| Records |
Author  |
Bojar, W. |
| Title |
Short information on progress in MACSUR |
Type |
Report |
| Year |
2014 |
Publication |
Format UTP |
Abbreviated Journal |
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| Volume |
68 C6 - |
Issue |
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Pages |
63 |
| Keywords |
TradeM |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
2075 |
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| Author |
Bojar, W.; Dzieza, G.; Sikora, M.; Spiewak, J.; Wyszkowska, Z.; Januszewski, A.; Zóltowski, M. |
| Title |
Wybrane metody ograniczania dzialania czynników ryzyka w rolnictwie w swietle wspólczesnych wyzwan (Selected methods of limiting of risk factors in agriculture in a view of contemporary challenges) Y ograniczania dzialania czynników ryzyka w rolnictwie |
Type |
Journal Article |
| Year |
2014 |
Publication |
Roczniki naukowe ekonomii rolnictwa i rozwoju obszarów wiejskich |
Abbreviated Journal |
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| Volume |
101(4) |
Issue |
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Pages |
7-18 |
| Keywords |
TradeM |
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Approved |
no |
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MA @ admin @ |
Serial |
2076 |
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| Author |
Bojar, W.; Knopik, L. |
| Title |
Application of Markov chains approach for expecting extreme precipitation changes having impact on food supply |
Type |
Conference Article |
| Year |
2014 |
Publication |
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Abbreviated Journal |
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Pages |
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| Keywords |
TradeM |
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TradeM International Workshop 2014 »Economics of integrated assessment approaches for agriculture and the food sector«, Hurdalsjøen, Norway, 2014-11-25 to 2014-11-27 |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
2329 |
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| Author |
Bojar, W.; Knopik, L.; Żarski, J. |
| Title |
Integrated assessment of business crop productivity and profitability for use in food supply forecasting |
Type |
Conference Article |
| Year |
2014 |
Publication |
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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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FACCE MACSUR Mid-term Scientific Conference |
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3(S) Sassari, Italy |
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FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy |
| Notes |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
5090 |
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| Author |
Bojar, W.; Knopik, L.; Zarski, J. |
| Title |
Integrated assessment of business crop productivity and profitability for use in food supply forecasting |
Type |
Report |
| Year |
2014 |
Publication |
FACCE MACSUR Reports |
Abbreviated Journal |
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| Volume |
3 |
Issue |
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Pages |
Sp3-7 |
| Keywords |
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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 No Label |
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no |
| Call Number |
MA @ admin @ |
Serial |
2224 |
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