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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Iranian Journal of Agricultural Economics and Development Research</JournalTitle>
				<Issn>2008-4838</Issn>
				<Volume>46</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2015</Year>
					<Month>06</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Application of Monte Carlo simulation in evaluating agricultural production risk (Case study: Gorgan county)</ArticleTitle>
<VernacularTitle>Application of Monte Carlo simulation in evaluating agricultural production risk (Case study: Gorgan county)</VernacularTitle>
			<FirstPage>385</FirstPage>
			<LastPage>393</LastPage>
			<ELocationID EIdType="pii">54904</ELocationID>
			
<ELocationID EIdType="doi">10.22059/ijaedr.2015.54904</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Iraj</FirstName>
					<LastName>Saleh</LastName>
<Affiliation>Associate Professor Agricultural Economics, Faculty of Agricultural Economics 
and Development, University of Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mehdi</FirstName>
					<LastName>Bastani</LastName>
<Affiliation>MSc. Student, Agricultural Economics, Faculty of Agricultural Economics 
and Development, University of Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Samaneh</FirstName>
					<LastName>Abedi</LastName>
<Affiliation>Assistant Professor, Agricultural Economics, University of Sary, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2013</Year>
					<Month>12</Month>
					<Day>11</Day>
				</PubDate>
			</History>
		<Abstract>Agriculture sector has had a significant grow thing role in the Iran, but growth and development in this sector is not possible without a suitable risk management. This study has tried to predict and measure the risk from changing weather condition on agriculture products of Gorgan County using Mont Carlo Stimulation as one of the powerful tools on risk analysis. The results showed that the highest level of production risk is for the crop such as barley, soya and wheat and the least level of the risk is for the crops such as bean, clover and pea, respectively. To sum up, the research results indicated a significant effect of production risk in this area and therefore managers and policy makers need to notice it.</Abstract>
			<OtherAbstract Language="FA">Agriculture sector has had a significant grow thing role in the Iran, but growth and development in this sector is not possible without a suitable risk management. This study has tried to predict and measure the risk from changing weather condition on agriculture products of Gorgan County using Mont Carlo Stimulation as one of the powerful tools on risk analysis. The results showed that the highest level of production risk is for the crop such as barley, soya and wheat and the least level of the risk is for the crops such as bean, clover and pea, respectively. To sum up, the research results indicated a significant effect of production risk in this area and therefore managers and policy makers need to notice it.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">agriculture productions</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Monte Carlo simulation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Gorgan county</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Risk Management</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijaedr.ut.ac.ir/article_54904_49077eb839ccd874da93cfadfb3654b0.pdf</ArchiveCopySource>
</Article>
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