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<Article>
<Journal>
<PublisherName>OICC Press</PublisherName>
<JournalTitle>International Journal of Agricultural Management and Development</JournalTitle>
<Issn>2159-5860</Issn>
<Volume>13</Volume>
<Issue>1</Issue>
<PubDate PubStatus="epublish">
<Year>2023</Year>
<Month>03</Month>
<Day>01</Day>
</PubDate>
</Journal>
<ArticleTitle>The Effects of Climate Change on Sugar Beet Yield with an Emphasis on Crop Production Risk in Iran</ArticleTitle>
<VernacularTitle></VernacularTitle>
<FirstPage>17</FirstPage>
<LastPage>28</LastPage>
<ELocationID EIdType="doi">10.71877/ijamad.2022.6630</ELocationID>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Ali </FirstName>
<LastName>Sardar Shahraki</LastName>
<Affiliation>Associate Professor of Agricultural Economics, University of Sistan and Baluchestan, Iran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Neda</FirstName>
<LastName>Ali Ahmadi </LastName>
<Affiliation>PhD in Agricultural Economics, University of Sistan and Baluchestan, Iran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Nasim </FirstName>
<LastName>Saffari</LastName>
<Affiliation>PhD in Water Resources Management, Regional Water Company of Ardabil, Iran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
</AuthorList>
<PublicationType>Journal Article</PublicationType>
<History>
<PubDate PubStatus="received">
<Year>2023</Year>
<Month>03</Month>
<Day>01</Day>
</PubDate>
</History>
<Abstract>Climate change and the resulting changes in climatic parameters influence all agricultural activities. The present study aimed to  explore  the  effect  of  climatic  variables  on  sugar  beet  crop  yield  in  two  climates  –  cold  climate  and  hot  and  arid  climate  –  using  the  Just  and  Pope  stochastic  function. First, the most effective climatic variables on sugar beet yield were identified by the Feiveson algorithm and the Just and Pope function. Data statistical test was applied to assess the stationarity of the included variables. The interrelationship of the dependent and independent variables was analyzed by the co-integration test. Finally, the co‐efficients of the Just and Pope function for the sugar beet crop in two studied climates for the time period of 1998‐2017 were estimated. The results of sugar beet yield function in cold regions show that sugar beet yield in cold regions was significantly influenced by acreage and maximum temperature at p&amp;lt;0.10 level and by minimum temperature deviation, production lag, and trend at p&amp;lt;0.01 level, but the variable of precipitation was significant in none of the levels. The estimation of the Just and Pope function for sugar beet crop in hot and arid regions indicates that the effects of maximum temperature, production lag, and trend are significant on sugar beet yield at p&amp;lt;0.05 level, but the effects of acreage, precipitation, and minimum temperature deviation were insignificant. Given temperature variations and unexpected precipitation, it is recommended to encourage sugar beet farmers to use crop insurance in order to mitigate local farmers’ risk and alleviate the damages of climate change.</Abstract>
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<Param Name="value">Climate change</Param>
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<Param Name="value">Just and Pope function</Param>
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<Object Type="keyword">
<Param Name="value">production risk</Param>
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<Object Type="keyword">
<Param Name="value">sugar beet</Param>
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<Param Name="value">yield function</Param>
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