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Adetutu M, Glass AJ, Kenjegalieva K, Sickles RC (2015) The effects of efficiency and TFP growth on pollution in Europe: a multistage spatial analysis Journal of Productivity Analysis 43:307-326 doi:10.1007/s11123-014-0426-7 Andreano MS, Benedetti R, Postiglione P (2017) Spatial regimes in regional European growth: an iterated spatially weighted regression approach Quality & Quantity 51:2665-2684 doi:10.1007/s11135-016-0415-1 Anselin L (2002) Under the hood: Issues in the specification and interpretation of spatial regression models Agricultural economics 27:247-267 doi:10.1016/S0169-5150(02)00077-4 Areal FJ, Balcombe K, Tiffin R (2012a) Integrating spatial dependence into Stochastic Frontier Analysis Australian Journal of Agricultural and Resource Economics 56:521-541 doi:10.1111/j.1467-8489.2012.00597.x Areal FJ, Tiffin R, Balcombe KG (2012b) Provision of environmental output within a multi-output distance function approach Ecol Econ 78:47-54 doi:http://dx.doi.org/10.1016/j.ecolecon.2012.03.011 Asmild M, Hougaard JL (2006) Economic versus environmental improvement potentials of Danish pig farms Agricultural Economics 35:171-181 doi:http://dx.doi.org/10.1111/j.1574-0862.2006.00150.x Bădin L, Daraio C, Simar L (2012) How to measure the impact of environmental factors in a nonparametric production model European Journal of Operational Research 223:818-833 Balcombe K, Davidova S, Latruffe L (2008a) The use of bootstrapped Malmquist indices to reassess productivity change findings: an application to a sample of Polish farms Applied Economics 40:2055-2061 doi:10.1080/00036840600949264 Balcombe K, Fraser I, Latruffe L, Rahman M, Smith L (2008b) An application of the DEA double bootstrap to examine sources of efficiency in Bangladesh rice farming Appl Econ 40:1919-1925 doi:http://dx.doi.org/10.1080/00036840600905282 Banker RD (1993) Maximum likelihood, consistency and data envelopment analysis: a statistical foundation Manage Sci 39:1265-1273 Banker RD, Charnes A, Cooper WW (1984) Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis Manage Sci 30:1078-1092 doi:http://dx.doi.org/10.1287/mnsc.30.9.1078 Barrios EB, Lavado RF (2010) Spatial stochastic frontier models. Philippine Institute for Development Studies, Billé AG, Benedetti R, Postiglione P (2017) A two-step approach to account for unobserved spatial heterogeneity Spatial Economic Analysis 12:452-471 doi:10.1080/17421772.2017.1286373 Billé AG, Salvioni C, Benedetti R (2018) Modelling spatial regimes in farms technologies Journal of Productivity Analysis 49:173-185 doi:10.1007/s11123-018-0529-7 Bogetoft P, Otto L (2010) Benchmarking with DEA, SFA, and R vol 157. International Series in Operations Research & Management Science. Springer, New York Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units European Journal of Operational Research 2:429-444 doi:http://dx.doi.org/10.1016/0377-2217(78)90138-8 Cooper W, Seiford L. M, Tone K. (2006) Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Springer, Cooper W, Seiford L. M, Tone K. (2007) Data Envelopment Analysis. A Comprehensive Text with Models, Applications, References and DEA-Solver Software vol 387452818. Springer, ISBN, Second Edition edn., Daccache A, Weatherhead EK, Stalham MA, Knox JW (2011) Impacts of climate change on irrigated potato production in a humid climate Agr Forest Meteorol 151:1641-1653 doi:http://dx.doi.org/10.1016/j.agrformet.2011.06.018 Daraio C, Simar L (2007) Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach Journal of Productivity Analysis 28:13-32 doi:10.1007/s11123-007-0049-3 Defra (2009) Adapting to Climate Change: UK Climate Projections. Defra, London, Defra (2013) Total factor productivity of the UK agricultural industry 2012 - 2nd estimate. National Statistics, Environment Agency (2008) Water resources in England and Wales - current state and future pressures Bristol: Environment Agency Environment Agency (2011) The case of change-current and future water availability Bristol: Environment Agency:41 Falloon P, Betts R (2010) Climate impacts on European agriculture and water management in the context of adaptation and mitigation—The importance of an integrated approach The Science of the total environment 408:5667-5687 doi:http://dx.doi.org/10.1016/j.scitotenv.2009.05.002 Färe R, Lovell CAK, Zieschang K (1983) Measuring the Technical Efficiency of Multiple Output Production Technologies. In: Eichhorn W, Henn R, Neumann K, Shephard RW (eds) Quantitative Studies on Production and Prices. Physica-Verlag HD, pp 159-171. doi:10.1007/978-3-662-41526-9_12 Foresight Report (2011) Foresight. The Future of Food and Farming. Final project report. The Government Office for Science, London, Gadanakis Y, Bennett R, Park J, Areal FJ (2015a) Evaluating the Sustainable Intensification of arable farms Journal of Environmental Management 150:288-298 doi:https://doi.org/10.1016/j.jenvman.2014.10.005 Gadanakis Y, Bennett R, Park J, Areal FJ (2015b) Improving productivity and water use efficiency: A case study of farms in England Agricultural Water Management 160:22-32 doi:https://doi.org/10.1016/j.agwat.2015.06.020 Gil GDR, Costa MA, Lopes ALM, Mayrink VD (2017) Spatial statistical methods applied to the 2015 Brazilian energy distribution benchmarking model: Accounting for unobserved determinants of inefficiencies Energ Econ 64:373-383 doi:https://doi.org/10.1016/j.eneco.2017.04.009 Glass A, Kenjegalieva K, Sickles RC (2014) Estimating efficiency spillovers with state level evidence for manufacturing in the US Economics Letters 123:154-159 doi:https://doi.org/10.1016/j.econlet.2014.01.037 Glass AJ, Kenjegalieva K, Sickles RC (2016) A spatial autoregressive stochastic frontier model for panel data with asymmetric efficiency spillovers Journal of Econometrics 190:289-300 doi:https://doi.org/10.1016/j.jeconom.2015.06.011 Gocht A, Balcombe K (2006) Ranking efficiency units in DEA using bootstrapping an applied analysis for Slovenian farm data Agricultural Economics 35:223-229 doi:http://dx.doi.org/10.1111/j.1574-0862.2006.00155.x Hančlová J, Melecký L (2016) Application of the nonparametric DEA meta-frontier approach with undesirable outputs in the case of EU regions Business Systems Research Journal 7:65-77 Henderson BB, Kingwell RS (2005) Rainfall and farm efficiency measurement for broadacre agriculture in south-western Australia Australasian Agribusiness Review 13 Hoang V-N (2013) Analysis of productive performance of crop production systems: An integrated analytical framework Agr Syst 116:16-24 doi:https://doi.org/10.1016/j.agsy.2012.12.005 Hughes N, Lawson K, Davidson A, Jackson T, Sheng Y Productivity pathways: climate-adjusted production frontiers for the Australian broadacre cropping industry. In: 2011 Conference (55th), February 8-11, 2011, Melbourne, Australia, 2011. Australian Agricultural and Resource Economics Society, Jeong S-O, Park BU, Simar L (2010) Nonparametric conditional efficiency measures: asymptotic properties Annals of Operations Research 173:105-122 Kneip A, Park BU, Simar L (1998) A note on the convergence of nonparametric DEA estimators for production efficiency scores Econometric Theory 14:783-793 Knox J, Morris J, Hess T (2010a) Identifying future risks to UK agricultural crop production Putting climate change in context Outlook Agr 39:249-256 Knox J, Rodriguez-Diaz J, Weatherhead E, Kay M (2010b) Development of a water-use strategy for horticulture in England and Wales-a case study Journal of Horticultural Science & Biotechnology 85:89-93 Kopp RJ (1981) Measuring the technical efficiency of production: A comment Journal of Economic Theory 25:450-452 doi:http://dx.doi.org/10.1016/0022-0531(81)90043-0 Korostelev AP, Simar L, Tsybakov AB (1995) Efficient Estimation of Monotone Boundaries The Annals of Statistics 23:476-489 doi:10.1214/aos/1176324531 Lang B (2010) Farm Business Survey 2009/2010 crop production in England. University of Cambridge Lang B (2011) Farm Business Survey 2010/2011 crop production in England. University of Cambridge Lansink AO, Pietola K, Bäckman S (2002) Effciency and productivity of conventional and organic farms in Finland 1994–1997 European Review of Agricultural Economics 29:51-65 doi:http://dx.doi.org/10.1093/erae/29.1.51 Lansink AO, Silva E (2003) CO2 and energy efficiency of different heating technologies in the Dutch glasshouse industry Environ Resour Econ 24:395-407 doi:Doi 10.1023/A:1023684316366 Latruffe L, Balcombe K, Davidova S, Zawalinska K (2005) Technical and scale efficiency of crop and livestock farms in Poland: does specialization matter? Agricultural Economics 32:281-296 doi:http://dx.doi.org/10.1111/j.1574-0862.2005.00322.x Lilienfeld A, Asmild M (2007) Estimation of excess water use in irrigated agriculture: A Data Envelopment Analysis approach Agricultural Water Management 94:73-82 doi:http://dx.doi.org/10.1016/j.agwat.2007.08.005 Murphy JM et al. (2009) UK Climate Projections Science Report: Climate Change Projections. Meteorological Office Hadley Centre, Exeter Olayide OE, Tetteh IK, Popoola L (2016) Differential impacts of rainfall and irrigation on agricultural production in Nigeria: Any lessons for climate-smart agriculture? Agricultural Water Management 178:30-36 doi:http://dx.doi.org/10.1016/j.agwat.2016.08.034 Pede Valerien O, Areal Francisco J, Singbo Alphonse, McKinley Justin, Kajisa Kei (2018) Spatial dependency and technical efficiency: an application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines Agricultural Economics 49:301-312 doi:doi:10.1111/agec.12417 Pede VO, Areal FJ, Singbo A, McKinley J, Kajisa K (2018) Spatial dependency and technical efficiency: an application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines Agricultural Economics 49:301-312 doi:10.1111/agec.12417 Piot-Lepetit I, Vermersch D, Weaver RD (1997) Agriculture's environmental externalities: DEA evidence for French agriculture Appl Econ 29:331-338 doi:10.1080/000368497327100 Rahman S, Hasan MK (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 doi:http://dx.doi.org/10.1016/j.jenvman.2007.07.019 Schettini D, Igliori DC, Azzoni CR Productive Efficiency across Regions in Brazil: a Spatial Stochastic Frontier Analysis Schmidt AM, Moreira ARB, Helfand SM, Fonseca TCO (2009) Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency Journal of Productivity Analysis 31:101-112 doi:10.1007/s11123-008-0122-6 Sherlund SM, Barrett CB, Adesina AA (2002) Smallholder technical efficiency controlling for environmental production conditions Journal of Development Economics 69:85-101 doi:http://dx.doi.org/10.1016/S0304-3878(02)00054-8 Simar L, Wilson PW (1998) Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models Manage Sci 44:49-61 doi:http://dx.doi.org/10.1287/Mnsc.44.1.49 Simar L, Wilson PW (2000) Statistical interference in nonparametric frontier models: the state of the art Journal of Productivity Analysis 13:47-78 doi:http://dx.doi.org/10.1023/A:1007864806704 Simar L, Wilson PW (2007) Estimation and inference in two-stage, semi-parametric models of production processes Journal of Econometrics 136:31-64 doi:http://dx.doi.org/10.1016/j.jeconom.2005.07.009 Strohbach MW, Kohler ML, Dauber J, Klimek S (2015) High Nature Value farming: From indication to conservation Ecol Indic 57:557-563 doi:https://doi.org/10.1016/j.ecolind.2015.05.021 Vidoli F, Canello J (2016) Controlling for spatial heterogeneity in nonparametric efficiency models: An empirical proposal European Journal of Operational Research 249:771-783 doi:https://doi.org/10.1016/j.ejor.2015.10.050 Vidoli F, Cardillo C, Fusco E, Canello J (2016) Spatial nonstationarity in the stochastic frontier model: An application to the Italian wine industry Regional Science and Urban Economics 61:153-164 doi:https://doi.org/10.1016/j.regsciurbeco.2016.10.003