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Assessing Climate Change Impacts on Land Use in Iran: The Spatial Fractional Multinomial Logit Modeling Approach

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Sustainable Agriculture and Agribusiness in Iran

Abstract

This study assesses the effect of climate change’s variables on the land share of annual crop groups including cereals, legumes, vegetables, cucurbits, forages and industrial crops in Iran. We analyzed four climatic parameters—temperature, precipitation, wind speed and humidity. The study also estimates two spatial fractional multinomial logit models using agronomic and climate data from 336 counties for two periods, 2006–2007 and 2012–2013. Our results show that the crop groups responded to climate change and this response has increased over time. This increase is more obvious in temperature changes. For example, in 2006–2007, temperature changes only impacted legumes’ land share, while in 2012–2013 it impacted all types of crops except industrial crops. This is because changes in climate have accelerated in recent years and farmers are also more aware of these changes through observations, the media and other communication channels. It is expected that with continued climate changes in the future the agriculture sector’s response to these changes will include changing the land share of different crops, thus changing their production. Therefore, we recommend predicting farmers’ responses to climate change in various scenarios and providing the basics for necessary policies through a comparison of potential production levels and the nutritional needs of society in the future. Moreover, since this study only focuses on land allocations between annual crop groups, it is recommended that other studies be done which consider the effects of climate change on land allocations in other agricultural sub-sectors such as horticulture and livestock.

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References

  • Adams RM, Hurd BH, Lenhart S, Leary N (1998) Effects of global climate change on agriculture: an interpretative review. Clim Res 11(1):19–30

    Article  Google Scholar 

  • Allen JE IV (2014) Determinants of land allocation in a multi-crop farming system: an application of the fractional multinomial logit model to agricultural households in Mali. In: 2014 annual meeting, July 27–29, 2014, Minneapolis, Minnesota 170175, Agricultural and Applied Economics Association

    Google Scholar 

  • Central Bank of Iran (2016). Available at https://www.cbi.ir/default_en.aspx

  • Cho SJ, McCarl BA, Wu X (2014) Climate change adaptation and shifts in land use for major crops in the USA. In: 2014 annual meeting, July 27–29, Minneapolis, Minnesota (No. 170015). Agricultural and Applied Economics Association

    Google Scholar 

  • Cho SJ, McCarl BA, Wu X (2015) Climate change adaptation via US land use transitions: a spatial econometric analysis. In: 2015 annual meeting, Jan 31–Feb 3, 2015, Atlanta, Georgia 196684, Southern Agricultural Economics Association

    Google Scholar 

  • Chou C, Lan CW (2012) Changes in the annual range of precipitation under global warming. J Clim 25(1):222–235

    Article  Google Scholar 

  • Di Falco S (2014) Adaptation to climate change in Sub-Saharan agriculture: assessing the evidence and rethinking the drivers. Eur Rev Agr Econ 41(3):405–430

    Article  Google Scholar 

  • Kaminski J, Kan I, Fleischer A (2013) A structural land-use analysis of agricultural adaptation to climate change: a proactive approach. Am J Agr Econ 95(1):70–93

    Article  Google Scholar 

  • Klier T, McMillen DP (2008) Clustering of auto supplier plants in the United States: generalized method of moments spatial logit for large samples. J Bus Econ Stat 26(4):460–471

    Article  Google Scholar 

  • Li M, Wu J, Deng X (2013) Identifying drivers of land use change in China: a spatial multinomial logit model analysis. Land Econ 89(4):632–654

    Article  Google Scholar 

  • Mu JH, McCarl BA (2011) Adaptation to climate change: land use and livestock management change in the US. Department of Agricultural Economics, Texas A&M University

    Google Scholar 

  • Mudzonga E (2011) Farmers’ adaptation to climate change in Chivi district of Zimbabwe. Trade and development studies centre. 3 Downie Avenue Belgravia, Harare, Zimbabwe

    Google Scholar 

  • Niles MT, Lubell M, Brown M (2015) How limiting factors drive agricultural adaptation to climate change. Agr Ecosyst Environ 200:178–185

    Article  Google Scholar 

  • Reidsma P, Ewert F, Lansink AO, Leemans R (2010) Adaptation to climate change and climate variability in European agriculture: the importance of farm level responses. Eur J Agron 32(1):91–102

    Article  Google Scholar 

  • Statistical Center of Iran (2016). Available at http://www.amar.org.ir

  • Wu J, Li M (2013) Land use change and agricultural intensification: key research questions and innovative modeling approaches. A background paper submitted to the International Food Policy Research Institute. Final Report. Available at https://pim.cgiar.org/files/2013/12/Wu_Land_Use_Change_and_Ag_Intensification.pdf

  • Yang L (2010) Acreage allocation in the presence of various commodity and conservation programs: the case of conservation reserve program and crop production in the Midwest. Master of science dissertation. Iowa State University

    Google Scholar 

Download references

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Correspondence to Mohammad Ghahremanzadeh .

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Alefi, K., Ghahremanzadeh, M. (2019). Assessing Climate Change Impacts on Land Use in Iran: The Spatial Fractional Multinomial Logit Modeling Approach. In: Rashidghalam, M. (eds) Sustainable Agriculture and Agribusiness in Iran. Perspectives on Development in the Middle East and North Africa (MENA) Region. Springer, Singapore. https://doi.org/10.1007/978-981-13-6283-5_4

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