Abdullah D, Ali S (2014) Influence of subsurface drainage on the productivity of poorly drained paddy fields. Eur J Agron 56:1–8. https://doi.org/10.1016/j.eja.2014.02.003
Aigner D, Lovell C, Schmidt P (1977) Formulation and estimation of stochastic frontier production function models. J Econ 6:21–37. https://doi.org/10.1016/0304-4076(77)90052-5
Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop water requirements. United Nations Food and Agriculture Organization, Irrigation and Drainage Paper 56, Rome, Italy, pp 95–97, 103–109. https://s3.amazonaws.com/academia.edu.documents/40878584/Allen_FAO1998.pdf. Accessed 24 Nov 2016
Asaoka M, Okuno K, Sugimoto T, Fuwa H (1985) Developmental changes in the structure of endosperm starch of rice (Oryza sativa L.). Agric Biol Chem 49:1973–1978. https://doi.org/10.1271/bbb1961.49.1973
Banker RD, Charnes A, Cooper W (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manag Sci 30:1078–1092. https://doi.org/10.1287/mnsc.30.9.1078
Barrett CB, Bellemare MF, Hou JY (2010) Reconsidering conventional explanations of the inverse productivity-size relationship. World Dev 38:88–97. https://doi.org/10.1016/j.worlddev.2009.06.002
Charnes A, Cooper W, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2:429–444. https://doi.org/10.1016/0377-2217(78)90138-8
Choudhury BU, Singh AK (2016) Estimation of crop coefficient of irrigated transplanted puddled rice by field scale water balance in the semi-arid Indo-Gangetic Plains, India. Agric Water Manag 176:142–150. https://doi.org/10.1016/j.agwat.2016.05.027
Coelli TJ, Prasada RDS, Christopher JO, George EB (2005) An Introduction to efficiency and productivity analysis, 2nd edn. Springer, New York, pp 161–179, 211–213, 261
Farrell MJ (1957) The measurement of productive efficiency. J R Stat Soc 120:253–290
Goto Y, Nitta Y, Nakamura S (2000) Crops I: paddy cultivation. Japan Agricultural Development and Extension Association (JADEA), Tokyo, pp 137–142, 195 (in Japanese)
Hirai Y, Saruta K, Hamagami K (2012) Evaluation of an analytical method to identify determinants of rice yield component and protein content. Comput Electron Agric 83:77–84. https://doi.org/10.1016/j.compag.2012.02.001
Komenet (2016) Planting areas of the major Japonica varieties in Japan. http://www.komenet.jp/jukyuudb/826.html. Accessed 15 Mar 2017 (in Japanese)
Kozak M, Singh PK, Verma MR, Hore DK (2007) Causal mechanism for determination of grain yield and milling quality of lowland rice. Field Crop Res 102:178–184. https://doi.org/10.1016/j.fcr.2007.03.010
Li D, Nanseki T, Matsue Y, Chomei Y, Yokota S (2016) Determinants of paddy yield of individual fields measured by it combine: empirical analysis from the perspective of large-scale farm management in Japan. Agric Inf Res 25:39–46
MAFF (2016a) Statistics on agricultural management of production costs. http://www.maff.go.jp/j/tokei/sihyo/data/12-2.html. Accessed 6 June 2017 (in Japanese)
MAFF (2016b) Statistics on the crops planted in 2014. http://www.e-stat.go.jp/SG1/estat/List.do?lid=000001129556. Accessed 6 June 2017 (in Japanese)
Martine A, Jacky M, Henry M (2003) Social and health determinants of the efficiency of cotton farmers in Northern Côte d’Ivoire. Soc Sci Med 56:1705–1717
Matsue Y (2016) Rice production technology for yield and quality improvement of high temperature during the ripening period. In: Proceeding of the annual symposium of the Japanese Agricultural Systems Society, Fukuoka, Japan, pp 9–10 (in Japanese)
Nanseki T, Chomei Y, Matsue Y (2016) Rice farm management innovation and smart agriculture in TPP era: farming technology package and ICT applications, Yokendo, Tokyo, Japan, pp 2–22, 168–178, 198–237, 253–258 (in Japanese)
NRCS (National resources conservation services, USDA) (2017) https://www.nrcs.usda.gov/wps/portal/nrcs/main/national/water/manage/. Accessed 25 Nov 2016
Peter B, Lars O (2011) Benchmarking with DEA, SFA, and R. Springer, New York, p 143
Roel A, Mutters RG, Eckert JW, Plant RE (2005) Effect of low water temperature on rice yield in California. Agron J 97:943–948. https://doi.org/10.2134/agronj2004.0129
Saga K, Imou K, Yokoyama S, Minowa T (2010) Net energy analysis of bioethanol production system from high-yield rice plant in Japan. Appl Energy 87:2164–2168. https://doi.org/10.1016/j.apenergy.2009.12.014
Sellamuthua R, Liu G, Ranganathan CB, Serraj R (2011) Genetic analysis and validation of quantitative trait loci associated with reproductive-growth traits and grain yield under drought stress in a doubled haploid line population of rice (Oryza sativa L.). Field Crops Res 124:46–58. https://doi.org/10.1016/j.fcr.2011.06.002
Tao Y, Zhang Y, Jin X, Saiz G, Jing R, Guo L, Liu M, Shi J, Zuo Q, Tao H, Klaus B, Dittert K, Lin S (2015) More rice with less water: evaluation of yield and resource use efficiency in ground cover rice production system with transplanting. Eur J Agron 68:13–21. https://doi.org/10.1016/j.eja.2015.04.002
Tobin J (1958) Estimation of relationships for limited dependent variables. Econometrica 26:24–36
Tsujimoto Y, Horie T, Randriamihary H, Shiraiwa T, Homma K (2009) Soil management: the key factors for higher productivity in the fields utilizing the system of rice intensification (SRI) in the central highland of Madagascar. Agric Syst 100:61–71. https://doi.org/10.1016/j.agsy.2009.01.001