- Ahmadi F. Radmanesh F. Mirabbasi R., (2015). Trend Analysis of the Average Temperature in Southern Half of Iran during the Recent Four Decades. Water and Soil Science, 25(3): 221-225. (In Farsi)
- Belotti F., Daidone S., Ilardi G. and Atella V. (2012). Stochastic frontier analysis using Stata. CEIS Tor Vergata, research paper series, 10(251): 1-47.
- Bohmanova, J., Misztal, I., and Cole. J.B. (2007). Temperature-humidity indices as indicators of milk production losses due to heat stress. Journal of Dairy Science, 90:1947–1956.
- Coelli T.J., Rao D.S.P., O’Donnell C.J., Battese G.E. (2005). An introduction to efficiency and productivity analysis, (2nd ed.). Springer, New York.
- Darwin, R. (2001). Climate Change and Food Security. Agricultural Information Bulletins, United States Department of Agriculture, Economic Research Service, No 33645.
- Dikmen, S. & Hansen, P.J. (2009). Is the temperature-humidity index the best indicator of heat stress in lactating dairy cows in a subtropical environment? Journal of Dairy Science, 92, 109-116.
- Dourandish A., Nikoukar, A. Hosseinzadeh, M. and Lavshabi, A. (2013). Estimating Multi-output Technical Efficiency for the Dairy Farms of the Northern Khorasan Province (Applying Stochastic Production and Stochastic Distance Frontiers). Agricultural Economics and Development. 27(2): 114-122. (In Farsi)
- Food and Agricultural Organization. (2008). Climate Change and Food Security. FAO, Rome, from http://www.fao.org/forestry/15538-079b31d45081fe9c3dbc6ff34de4807e4.pdf.
- Frumhoff, P.C., McCarthy, J.J., Melillo, J.M., Moser, S.C. and Wuebbles, D.J. (2007). Confronting Climate Change in the U.S. Northeast: Science, Impacts, and Solutions. Synthesis report of the Northeast Climate Impacts Assessment (NECIA), Union of Concerned Scientists, Cambridge, MA.
- Greene, W. (2005). Fixed and random effects in stochastic frontier models. Journal of Productivity Analysis, 23: 7–32.
- Hansen, P. J. (2007). Exploitation of genetic and physiological determinants of embryonic resistance to elevated temperature to improve embryonic survival in dairy cattle during heat stress. Theriogenology, 68(S1): S242–S249.
- Hatfield, J., Boote, K., Fay, P., Hahn, L., Izaurralde, C., Kimball, B.A., and Mader, T., (2008). The Effects of Climate Change on Agriculture, Land Resources, Water Resources, and Biodiversity in the United States. A Report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research, 362. Washington DC, 21–47.
- Hoseini, S.S., Nazari, M.R. & Araghinejad, S. (2013). Investigating the impacts of climate on agricultural sector with emphasis on the role of adaptation strategies in this sector, Iranian Journal of Agricultural Economics and Development Research, 44(1): 1-16. (In Farsi)
- Jiang, N. and Sharp, B. (2014).Cost Efficiency of Dairy Farming in New Zealand: A Stochastic Frontier Analysis. Agricultural and Resource Economics Review, 43 (3): 406-418.
- Jondrow, J., Lovell, C., Materov, I. and Schmidt, P. (1982). On the Estimation of Technical Inefficiency in the Stochastic Frontier Production Function Model. Journal of Econometrics, 19: 233–238.
- Key N. and Sneeringer S., (2014). Potential effects of climate change on the productivity of U.S. dairies, American. Journal of Agricultural Economic, 96(4): 1136–1156.
- Mader, T. L. (2003). Environmental stress in confined beef cattle. Journal of Animal Science, 81: E110–E119.
- Mehrabi Boshrabadi H. & Renato R. (2007). Analysis of technical efficiency and varietal differences in pistachio production in Iran using a meta-frontier analysis. Contributed paper at the 51th annual conference, February 13-16, 2007, Queenstown, New Zealand, 10425, Australian Agricultural and Resource Economics Society.
- Molaei M. & Sani F. (2017). Evaluating the Impact of Environmental Pollutants on Technical Efficiencies of Dairy Farms Using Stochastic Frontier Analysis, Iranian Journal of Agricultural Economics and Development Research. 48(1): 35-42. (In Farsi)
- Mukherjee, D., Bravo-Ureta, B. and DeVries, A. (2013). Dairy Productivity and Climatic Conditions: Econometric Evidence from South-eastern United States. Australian Journal of Agricultural and Resource Economics, 57 (1): 123–140.
- O’Donnell CJ, Coelli T.J. (2005). A Bayesian approach to imposing curvature on distance functions. Journal of Econometrics, 126(2):493–523.
- Qi l., Bravo-Ureta B. E., and Cabrera V. E. 2015. From cold to hot: Climatic effects and productivity in Wisconsin dairy farms, Journal of Dairy Science, 98:1–14.
- Reilly, J., (1999). What does climate change mean for agriculture in developing countries? A comment on Mendelsohn and Dinar. The World Bank Observer, 14(2): 295-305.
- Rhoads, M. L., Rhoads, R. P., VanBaale, M. J., Collier, R. J., Sanders, S. R., Weber, W. J. Crooker, B. A. and Baumgard. L. H. (2009). Effects of heat stress and plane of nutrition on lactating Holstein cows: I. Production, metabolism, and aspects of circulating somatotropin. Journal of Dairy Science. 92:1986–1997.
- Sauer J, Frohberg K, and Hockmann H. (2006). Stochastic efficiency measurement: the curse of theoretical consistency. Journal of Applied Economics, 9(1):139–165.
- Shahnavazi A. (2017). Determining the efficiency rank of irrigated crops in Iranian agricultural sector, Iranian Journal of Agricultural Economics and Development Research. 48(2): 227-240. (In Farsi)
- St-Pierre, N.R., Cobanov, B. and Schnitkey, G. (2003). Economic Loss from Heat Stress by US Livestock Industries. Journal of Dairy Science, 86 (E Suppl.): E52–E77.
- Tucker, C.B., Rogers, A.R. and Shutz, K.E. (2007). Effect of solar radiation on dairy cattle behavior, use of shade and body temperature in a pasture-based system. Applied Animal Behaviour Science, 109(S2-4):141–154.
- Wang, H., and Schmidt, P. (2002). One Step and Two Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels, Journal of Productivity Analysis, 18: 129–144.
- West, J. W. (2003). Effects of heat-stress on production in dairy cattle, Journal of Dairy Science. 86: 2131–2144.
|
