The Impact of Climatic Factors on Land Use Change between Annually Crops Groups in Iran: Application of Spatial Fractional Multinomial Logit Model

Document Type : Research Paper

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Abstract

The current study attempted to investigate the climatic factors impacts on land use change between annually crops groups including cereals, beans, industrial products, vegetables, cucurbits and forage plants in Iran counties. To doing this, agricultural data during 2012-2013 and climatic data in 1391 were used. To estimating of spatial fractional multinomial logit model, the agricultural and climatic variables were matched with geographical data and 336 counties were studied regarding available data. According to the results, industrials crops cultivation area shares have positive spatial dependence and increasing of industrials crops land shares in each county increases industrials crops land shares in nearby counties. Considering estimated marginal effects, one degree temperature increasing raises cereals, vegetables and cucurbits land shares 1, 0.1 and 0.2 percent respectively and decreases beans land share 0.3 percent and one millimeter rainfall increasing decreases vegetables land share 0.008 percent. So, The ongoing process of climate change, specially temperature increasing will increase cereals, vegetables and cucurbits land shares and will decreases beans land share in future years. Therefore, to meeting the beans needs of future population, taking of adaptive strategies such as heat-resistant varieties producing are recommended in order to prevent beans land shares decreases.

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References

بانک مرکزی جمهوری اسلامی ایران. (1393) نتایج بررسی بودجه خانوار در مناطق شهری ایران، مدیریت کل آمارهای اقتصادی، اداره آمار اقتصادی، دایره بررسی بودجه خانوار.
سازمان هواشناسی کل کشور. (1394) دفتر فناوری اطلاعات و ارتباطات هواشناسی، گروه پایگاه داده و آمار هواشناسی.
مرکز آمار ایران. (1395) <http://www.amar.org.ir>.
وزارت جهاد کشاورزی. (1394) معاونت برنامه­ریزی و اقتصادی، مرکز فناوری اطلاعات و ارتباطات.
Allen IV J. E. (2012) Determinants of land allocation in a multi-crop farming system: an application of the fractional multinomial logit model to agricultural households in Mali, Doctoral dissertation, Michigan State University.
Apata, T. G., Ogunyinka, A., Sanusi, R. A. and Ogunwande, S. (2010) Effects of global climate change on Nigerian agriculture: an empirical analysis, CBN Journal of Applied Statistics, 2(1): 31-50.
Cho, S. J., McCarl, B. A., & Wu, X. (2015) Climate change adaptation via US land use transitions: a spatial econometric analysis, Southern Agricultural Economics Association Annual Meeting, Atlanta, Georgia.
Easterling, W., Aggarwal, P., Batima, P., Brander, K., Bruinsma, J., Erda, L., Howden, M., Tubiello, F., Antle, J., Baethgen, W. and Barlow, C., (2007) Food, fibre, and forest, products 3.
Kaminski, J., Kan I. and Fleischer A. (2013) A structural land-use analysis of agricultural adaptation to climate change: a proactive approach, American Journal of Agricultural Economics, 95(1): 70-93.
Klier, T. and McMillen, D. P. (2008) Clustering of auto supplier plants in the United States: generalized method of moments spatial logit for large samples, Journal of Business and Economic Statistics, 26(4): 460-471.
LeSage, J. P. and Pace, R. K. (2009) Introduction to spatial econometrics, CRC Press, Taylor & Francis Group, Boca Raton.
Li, M., Wu, J. and Deng, X.  (2013) Identifying drivers of land use change in china: a spatial multinomial logit model analysis, Land Economics 89(4):632-654.
Mann, W., Lipper, L., Tennigkeit, T., McCarthy, N., Branca, G. and Paustian, K. (2009) Food security and agricultural mitigation in developing countries: options for capturing synergies, Rome: FAO.
Mu, J. H. and McCarl, B. A. (2011) Adaptation to climate change: land use and livestock management change in the USA, Department of Agricultural Economics, Texas A&M University.
OECD. (2012) Farmer behaviour, agricultural management and climate change, OECD Publishing. <http://dx.doi.org/10.1787/9789264167650-en>.
Pinkse, J. and Slade, M. E. (1998) Contracting in space: an application of spatial statistics to discrete-choice models, Journal of Econometrics, 85(1): 125-154.
Ramirez, D., Ordaz, J. L., Mora, J., Acosta, A. and Braulio, S. H. (2013) Belize: effects of climate change on agriculture.
Reidsma, P., Ewert F., Lansink, A. O. and Leemans, R. (2010) Adaptation to climate change and climate variability in European agriculture: the importance of farm level responses, European journal of agronomy, 32(1): 91-102.
Agricultural Economics
Volume 11, Issue 4
March 2018
Pages 21-40

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