1-Abdollahi B., Rahelei H., Taghizadeh M., Kasrani M., and Najaflu B. 2010. Measurement of Technical Efficiency and Its Effective Factors on Greenhouse Cucumber Production (Case Study of East Azarbaijan Province). Journal of Crop Ecophysiology 2(14): 81-90. (In Persian)
2-Aigner D., Lovell C.A., and Schmidt P. 1977. Formulation and estimation of stochastic frontier production function models. Journal of Economics 6: 21–37.
3-Alieu L., and Csaba F. 2015. The Effects of Climate Change on Cereals yield of Production and food security in Gambia. APSTRACT 9(4): 83-92.
4-Arsalanbod M. R. 1384. Technical efficiency, allocative and economic tomato producers in Western Azerbaijan. Fifth Iranian Agricultural Economics Conference, Faculty of Agriculture, Urmia University. (In Persian)
5-Arega S., and Molla A. 2017. Effect of climate variability on crop income and indigenous adaptation strategies of households, International Journal of Climate Change Strategies and Management, Available at https://doi.org/10.1108/IJCCSM-04-2016-0039.
6-Banjaw D., Tadesse M., Habtamu G., and Lemma D.T. 2017. Effect of Water Quality and Deficit Irrigation on Tomatoes Yield and Quality: A Review. Advances in Crop Science and Technology 5(4): 1-4.
7-Battese G.E. and Coelli T. J. 1995. A model for technical inefficiency in a stochastic frontier production function for panel data. Empirical Economics 20: 235–332.
8-Battese G.E., Nazli H., and Smale M. 2014. Productivity and Efficiency of Farmers Growing Four Popular Wheat Varieties in Punjab, Pakistan; HarvestPlus Working Paper, Available at www.harvestplus.org/sites/default/files/HarvestPlus_WorkingPaper15.pdf
9-Bradley W.K., Tatjana H., Ralph M., Charles E., Wilson J., and Lance S. 2014. Measurement of Technical, Allocative, Economic, and Scale Efficiency of Rice Production in Arkansas Using Data Envelopment Analysis. Journal of Agricultural and Applied Economics 46(1): 89–106.
10-Food and Agriculture Organization. 2017. Pulses and Climate Change. Available at http://www.fao.org/resources/infographics/infographics-details/en/c/454530/
11-Hasan M.K., Miah M.A. and Rahman M.M. 2008. Influence of environmental and managerial of improved pulse production in Bangladesh. Asia Pac. Journal of Rural Development 18: 123–136.
12-Hoang V.N. 2013. Analysis of productive performance of crop production systems: An integrated analytical framework. Agricultural Systems 116: 16–24.
13-Justus O., Lilian K., and Mary M. 2016. Effects of climate variability and change on agricultural production: The case of small scale farmers in Kenya. NJAS - Wageningen Journal of Life Sciences 77: 71-78.
14-Khai H.V., and Yabe M. 2011. Technical efficiency analysis of rice production in Vietnam. International Society for Southeast Asian Agricultural Sciences (ISSAAS), 17: 135–146.
15-Kahil M.T., Connor J.D., and Albiac J. 2015. Efficient water management policies for irrigation adaptation to climate change in Southern Europe. Ecologycal Economics 120: 226–233.
16-Khazaei J., Amani B., and Isfahani S.D.J. 2015. Study of Total Productivity Changes in Tomato Production Factors in Iran Using Malmquist Index. Agricultural Economics Research 4(28): 83-98. (In Persian)
17-Krishna P., Pokharel A.M., Featherstone D., and Archer W. 2018. Estimating Economic Efficiency under Risk for Agricultural Cooperatives. Southern Agricultural Economics Association’s 2018 Annual Meeting, Jacksonville, Florida, February, 2-6: 1-24, Available at http://ageconsearch.umn.edu/record/266729/files/Pokharel_EfficiencySAEA2018.pdf
18-Kyi T., and VonOppen M. 1999. Stochastic frontier production function and technical efficiency estimation: A case study on irrigated rice in Myanmar. In Proceedings of the Deutscher Tropentag 1999 in Berlin Session: Sustainable Technology Development in Crop Production, Berlin, Germany, 14–15 October 1999: 1–20, Available at ftp://ftp.gwdg.de/pub/tropentag/proceedings/1999/.../STD_C6.pdf
19-Latt A.K., Hotta K., and Nanseki T. 2011. Analysis of technical efficiency of monsoon rain-fed sesame production in Myanmar: A Stochastic Frontier Approach. Journal of the Faculty of Agriculture, Kyushu University 56: 177–184.
20-Leake G., Weldegiorgis G., Kidu M., Hareg G.E., Gebremariam and Zenebe A.K. 2018. Resources use efficiency of irrigated tomato production of small-scale farmers. International Journal of Vegetable Science, Available at https://doi.org/10.1080/19315260.2018.1438552.
21-Mar S., Nomura H., Takahashi Y., Ogata K., and Yabe M. 2018. Impact of Erratic Rainfall from Climate Change on Pulse Production Efficiency in Lower Myanmar. Sustainability 10(402): 1-16.
22-Mar S., Yabe M., and Ogata K. 2013. Technical Efficiency Analysis of Mango Production in Central Myanmar. International Society for Southeast Asian Agricultural Sciences (ISSAAS) 19: 49–62.
23-Meeusen W., and VanDen B.J. 1977. Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review (Philadelphia) 18: 435–444.
24- Melo-Becerra L.A., and Orozco-Gallo A.J. 2017. Technical efficiency for Colombian small crop and livestock farmers: A stochastic metafrontier approach for different production systems. Journal of Productivity Analysis 47(1): 1–16.
25-Muhammad N., Shah A.U., Jan I., Ullah M.I., and Khan S. 2017. Allocative efficiency analysis of tomato growers in Mohmand Agency, Pakistan. Sarhad Journal of Agriculture 33(3): 366-370.
26-Mukherjee A., Sarkar. S., and Sarkar A. 2018. Productivity and Profitability of Tomato Due to Irrigation Frequency and Mulch. International Journal of Vegetable Science 24(1): 43-57.
27-Musa H., Ahmed L.Z., and Endrias G. 2015. Measuring technical, economic and allocative efficiency of maize production in subsistence farming: evidence from the Central Rift Valley of Ethiopia. Applied Studies in Agribusiness and Commerce 9(3): 63-74.
28- Obare G., Nyagaka D., Nguyo W., and Mwakubo S.M. 2010. Are Kenyan smallholders allocatively efficient? Evidence from Irish potato producers in Nyandarua North district. Journal of Development and Agricultural Economics 2: 78–85.
29-Ocholi A., and Ayinla V. 2018. Determinants of technical efficiency of small-scale Broiler production enterprises in Benue state, Nigeria. International Journal of Agricultural and Veterinary Sciences (ijavs) 4(1): 4-17.
30-Ogada M.J., Muchai D., Mwabu G., and Mathenge M. 2014. Technical efficiency of Kenya’s smallholder food crop farmers: Do environmental factors matter? Environment, Development and Sustainability 16: 1065–1076.
31-Rahman S., and Hasan M.K. 2008. Impact of environmental production conditions on productivity and efficiency: A case study of wheat farmers in Bangladesh. Journal of Environmental Management 88: 1495–1504.
32-Rosenzweig C. and Liverman D. 1992. Predicted Effects of Climate Change on Agriculture: A Comparison of Temperate and Tropical Regions. In Global Climate Change: Implications, Challenges, and Mitigation Measures, USA: 342–361, Available at http://www.ciesin.columbia.edu/docs/004-145/004-145.html.
33-SadatMoezeni S. and Karbasi R. 2008. Measurement of Types of Efficiency Using Data Envelopment Analysis Case Study of Pistachio producers in Zarand. Agricultural Economics and Development 16(61): 1-16. (In Persian(
34-Sahubar A., Bin M.N., Azizul B., and Razamin R. 2016. Technical, allocative, cost, profit and scale efficiencies in kedah, Malaysia rice production: a data envelopment analysis. Journal of Agricultural and Biological Science 11(8): 322-335.
35-Sardana V., Sharma P., and Sheoran P. 2010. Growth and production of pulses. In Soils, Plant Growth and Crop Production. Verheye, W.H., Ed., Eolss Publishers Co., Ltd.: Oxford, UK, 3: 378–416, Available at http://www.eolss.net/sample-chapters/c10/e1-05a-44-00.pdf
36- Sarker M.A.R., Alam K., and Gow J. 2012. Exploring the relationship between climate change and rice yield in Bangladesh: An analysis of time series data. Agricultural Systems 112: 11–16.
37-Sherlund S.M., Barrett C.B., and Adesina A.A. 2002. Smallholder technical efficiency controlling for environmental production conditions. Journal of Development Economics 69: 85–101.
38-Silva J.V., Pytrik R., Alice G.L., and Van M. 2017. Explaining rice yields and yield gaps in Central Luzon, Philippines: an application of stochastic frontier analysis and crop modelling. European Journal of Agronomy 82: 223–241.
39-Tuhamipour M., Saleh E., and Nemati M. 2014. Measuring and analyzing the growth of total factor productivity of different varieties of rice in Iran. Journal of Applied Crop Research 27(103): 96-104. (In Persian)
40-USDA. Climate Change and Agriculture in the United States. 2013. Effects and Adaptation; United States Department of Agriculture Technical Bulletin 1935; USDA: Washington, DC, USA: 186, Available at https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1000&context=ge_at_reports
41-Wang H. 2002. One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels. Journal of Productivity Analysis 18: 129–144.
42-Wilson P., Hadley D., and Asby C. 2001. The influence of management characteristics on the technical efficiency of wheat farmers in Eastern England. Agricultural of Economics 24: 329–338.
43- www.basakco.com
44-Xin-Zhong L., Yu W., Robert G., Chambers Daniel L., Schmoldt WeiGao C.L., Yan-An L., Chao S., and Jennifer A.K. 2017. Determining climate effects on US total agricultural productivity, Available at www.pnas.org/cgi/doi/10.1073/pnas.1615922114PNAS Published online March 6.