000254033 001__ 254033
000254033 005__ 20180123005952.0
000254033 0247_ $$2Other$$a1804-1930
000254033 037__ $$a665-2016-45124
000254033 037__ $$a665-2016-45223
000254033 041__ $$aen_US
000254033 245__ $$aThe Influence of Investment Costs on Biogas Station Development and Their Impact on Greenhouse Gas Emissions from Czech Agriculture
000254033 260__ $$c2016-12-30
000254033 269__ $$a2016-12-30
000254033 300__ $$a9
000254033 336__ $$aJournal Article
000254033 490__ $$a8
000254033 490__ $$a4
000254033 520__ $$aThe paper present the results for the influence of investment costs into biogas station on the amount of emissions from the agricultural sector. For the evaluation is applied structural analysis of major factors affecting the level of CO2 emissions from agriculture. Among these factors are: the number of animals (converted to livestock units), cost of investment in biogas plants, the quantity of nitrogen fertilizers and the total amount of CO2 emissions from agriculture. The results show that the investment costs haven ́t significant influence despite the correct direction of effect. Significant impact on CO2 emissions from agriculture have the numbers of animals (respectively cattle units). In the case of applications reviewed model from the Czech Republic to selected countries of the EU shows that the highest investment costs and also decrease CO2 equivalent emissions from agricultural biogas plants is in Germany. The high number of agricultural biogas plants is also evident in Italy and the United Kingdom. Investment costs are in these two countries in the range of 115 to 144 mld. CZK. Furthermore, it is evident that the significant investment costs are incurred by the smaller countries (Czech Republic, Slovakia, Belgium). Investment costs in this case are in the range 10-33 mld. CZK.
000254033 542__ $$fLicense granted by agris agris (agris@pef.czu.cz) on 2017-03-21T12:12:00Z (GMT):

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000254033 650__ $$aLivestock Production/Industries
000254033 650__ $$aResearch Methods/ Statistical Methods
000254033 6531_ $$aBiogas stations
000254033 6531_ $$aCO2 emissions
000254033 6531_ $$aanimal waste
000254033 6531_ $$alivestock numbers
000254033 6531_ $$alinear regression model
000254033 6531_ $$ainvestment costs.
000254033 700__ $$aSlaboch, J.
000254033 700__ $$aHálová, P.
000254033 773__ $$dDecember 2016$$jVolume 08$$kNumber 4$$o151$$q143$$tAGRIS on-line Papers in Economics and Informatics
000254033 8564_ $$s348271$$uhttp://ageconsearch.umn.edu/record/254033/files/agris_on-line_2016_4%20_slaboch_halova.pdf
000254033 887__ $$ahttp://purl.umn.edu/254033
000254033 909CO $$ooai:ageconsearch.umn.edu:254033$$pGLOBAL_SET
000254033 912__ $$nSubmitted by agris agris (agris@pef.czu.cz) on 2017-03-21T12:13:44Z
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  Previous issue date: 2016-12-30
000254033 982__ $$gAGRIS on-line Papers in Economics and Informatics>Volume 8, Number 4, December 2016
000254033 980__ $$a665