Unraveling the impact of variable external input use on the cost efficiency of dairy farms in Europe

Environmental and Sustainability Indicators - Tập 8 - Trang 100076 - 2020
O.M. Ojo1, A.H. Adenuga2, L. Lauwers3,4, J. Van Meensel3
1Centre for Rural Economy, School of Natural and Environmental Sciences, Newcastle University, NE1 7RU, Newcastle Upon Tyne, United Kingdom
2Economics Research Branch, Agri-Food and Biosciences Institute (AFBI), 18a Newforge Lane, Belfast, BT9 5PX, UK
3ILVO, Social Sciences Unit, Burg. Van Gansberghelaan, 9820, Merelbeke, Belgium
4Ghent University, Department of Agricultural Economics, St. Pietersnieuwstraat 33, 9000, Gent, Belgium

Tài liệu tham khảo

Adenuga, 2019, Environmental efficiency and pollution costs of nitrogen surplus in dairy farms: a parametric hyperbolic technology distance function approach, Environ. Resour. Econ., 74, 1273, 10.1007/s10640-019-00367-2 Adenuga, 2018, Estimation and determinants of phosphorus balance and use efficiency of dairy farms in Northern Ireland: a within and between farm random effects analysis, Agric. Syst., 164, 11, 10.1016/j.agsy.2018.03.003 Adenuga, 2018, Modelling regional environmental efficiency differentials of dairy farms on the island of Ireland, Ecol. Indicat., 95, 851, 10.1016/j.ecolind.2018.08.040 Adler, 2015, Managing greenhouse gas emissions in two major dairy regions of New Zealand: a system-level evaluation, Agric. Syst., 135, 1, 10.1016/j.agsy.2014.11.007 Alvarez, 2008, Does intensification improve the economic efficiency of dairy farms?, J. Dairy Sci., 91 Alvarez, 2010, Identifying different technologies using a latent class model: extensive versus intensive dairy farms, Eur. Rev. Agric. Econ., 37, 231, 10.1093/erae/jbq015 Alvarez, 2012, Modeling unobserved heterogeneity in New York dairy farms: one-stage versus two-stage models, Agric. Resour. Econ. Rev., 41, 275, 10.1017/S1068280500001258 Aragon, 2005, Nonparametric frontier estimation: a conditional quantile-based approach, Econom. Theor., 358 Barath, 2015, Heterogeneous technology, scale of land use and technical efficiency: the case of Hungarian crop farms, Land Use Pol., 42, 141, 10.1016/j.landusepol.2014.07.015 Battese, 2004, A meta frontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies, J. Prod. Anal., 21 Baumol, 1958, Activity analysis in one lesson, Am. Econ. Rev., 58, 837 Bijttebier, 2017, Low-input dairy farming in Europe: exploring a context-specific notion, Agric. Syst., 156, 43, 10.1016/j.agsy.2017.05.016 Boussemart, 2016, Exploring cost dominance between high and low pesticide use in French crop farming systems by varying scale and output mix, J. Prod. Anal., 45, 197, 10.1007/s11123-015-0443-1 Bravo-Ureta, 1986, Technical efficiency measures for dairy farms based on probabilistic frontier function model, Can. J. Agric. Econ., 34, 287, 10.1111/j.1744-7976.1986.tb02220.x Caviglia-Harris, 2005, Cattle accumulation and land use intensification by households in the Brazilian Amazon, Agric. Resour. Econ. Rev., 34, 145, 10.1017/S1068280500008327 Cazals, 2002, Nonparametric frontier estimation: a robust approach, J. Econom., 106, 1, 10.1016/S0304-4076(01)00080-X CEAS/EFNCP, 2000 Čechura, 2010, Estimation of technical efficiency in Czech agriculture with respect to firm heterogeneity, Agric. Econ. – Czech, 56, 183, 10.17221/23/2010-AGRICECON Chen, 2008, Efficiency and technology gap in China’s agriculture: a regional meta-frontier analysis, China Econ. Rev., 19, 287, 10.1016/j.chieco.2007.03.001 Dervaux, 2009, Performance of French intensive care units: a directional distance function approach at the patient level, Int. J. Prod. Econ., 120, 585, 10.1016/j.ijpe.2009.04.011 Dong, 2016, Technical efficiency, herd size, and exit intentions in U.S. dairy farms, Agric. Econ., 47, 533, 10.1111/agec.12253 EU Dairy farms report, 2018 Foote, 2015, New Zealand dairy farming: milking our environment for all its worth, Environ. Manag., 56, 709, 10.1007/s00267-015-0517-x Fraser, 2005, Efficiency measurement of Australian dairy farms: national and regional performance, Australasian agribusiness review, 13 Groeneveld, 2016, The effect of milk quota abolishment on farm intensity: shifts and stability, NJAS - Wageningen J. Life Sci., 77, 25, 10.1016/j.njas.2016.03.003 Hallam, 1996, Efficiency analysis with panel data: a study of Portuguese dairy farms, Eur. Rev. Agric. Econ., 23, 79, 10.1093/erae/23.1.79 Hoch, 1962, Estimation of production function parameters combining time series and cross section data, Econometrics, 30, 556 Horn, 2014, Do different cow types respond differently to a reduction of concentrate supplementation in an Alpine low-input dairy system?, Livest. Sci., 170, 72, 10.1016/j.livsci.2014.10.006 Jaforullah, 1999, Scale efficiency in the New Zealand dairy industry: a non-parametric approach, Aust. J. Agric. Resour. Econ., 43, 523, 10.1111/1467-8489.00093 Jiang, 2015, Technical efficiency and technological gap of New Zealand dairy farms: a stochastic meta-frontier model, J. Prod. Anal., 44, 39, 10.1007/s11123-015-0429-z Katsumata, 2005 Kaufmann, 1975 Kebreab, 2001, Nitrogen pollution by dairy cows and its mitigation by dietary manipulation, Nutrient Cycl. Agroecosyst., 60, 275, 10.1023/A:1012668109662 Koopmans, 1951 Kuosmanen, 2006, Specification and estimation of production functions involving damage control inputs: a two-stage, semiparametric approach, Am. J. Agric. Econ., 88, 499, 10.1111/j.1467-8276.2006.00874.x Latruffe, 2004, Determinants of technical efficiency of crop and livestock farms in Poland, Appl. Econ., 36, 1255, 10.1080/0003684042000176793 Lau, 1989, The meta-production function approach to technological change in world agriculture, J. Dev. Econ., 31, 241, 10.1016/0304-3878(89)90014-X Ledgard, 2004, Effects of intensification of dairy farming in New Zealand on whole-system resource use efficiency and environmental emissions. Pages 226–260 Leip, 2015, Impacts of European livestock production: nitrogen, sulphur, phosphorus and greenhouse gas emissions, land-use, water eutrophication and biodiversity, Environ. Res. Lett., 10, 115004, 10.1088/1748-9326/10/11/115004 Leung, 2001 Lin, 2014, Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: an application to Chinese energy economy, Energy, 76, 884, 10.1016/j.energy.2014.08.089 Loyon, 2016, Best available technology for European livestock farms: availability, effectiveness and uptake, J. Environ. Manag., 166, 1 Ma, 2018, Higher intensity, higher profit? Empirical evidence from dairy farming in New Zealand, J. Agric. Econ., 1 March, 2016, Modelling phosphorus efficiency within diverse dairy farming systems− pollutant and non-renewable resource?, Ecol. Indicat., 69, 667, 10.1016/j.ecolind.2016.05.022 Martinho, 2016, Energy consumption across European Union farms: efficiency in terms of farming output and utilized agricultural area, Energy, 103, 543, 10.1016/j.energy.2016.03.017 Moreira, 2010, Technical efficiency and metatechnology ratios for dairy farms in three southern cone countries: a stochastic meta-frontier model, J. Prod. Anal., 33, 33, 10.1007/s11123-009-0144-8 Mounsey, 2015 Newman, 2006, The productivity performance of Irish dairy farms 1984–2000: a multiple output distance function approach, J. Prod. Anal., 26, 191, 10.1007/s11123-006-0013-7 Peterson, 2015, What is sustainable intensification? Views from experts, Land Use Pol., 46, 1, 10.1016/j.landusepol.2015.02.002 Picazo-Tadeo, 2011, Assessing farming eco-efficiency: a data envelopment analysis approach, J Environ Manag, 92, 1154 Rouse, 2009, Towards optimal life cycle management in a road maintenance setting using DEA, Eur. J. Oper. Res., 196, 672, 10.1016/j.ejor.2008.02.041 Samson, 2016, Explaining production expansion decisions of Dutch dairy farmers, NJAS - Wageningen J. Life Sci., 76, 87, 10.1016/j.njas.2015.11.007 Sauer, 2013, The empirical identification of heterogeneous technologies and technical change, Appl. Econ., 45, 1461, 10.1080/00036846.2011.617704 Scollan, 2017, Organic and low-input dairy farming: avenues to enhance sustainability and competitiveness in the EU, EuroChoices, 16, 40, 10.1111/1746-692X.12162 Shephard, 1953 Simar, 2016 Tauer, 1998, Productivity of New York dairy farms measured by nonparametric Malmquist indices, J. Agric. Econ., 49, 234, 10.1111/j.1477-9552.1998.tb01266.x Tyteca, 1996, On the measurement of the environmental performance of firms— a literature review and a productive efficiency perspective, J. Environ. Manag., 46, 281 Van Meensel, 2010, Comparing frontier methods for economic-environmental trade-off analysis, Eur. J. Oper. Res., 207, 1027, 10.1016/j.ejor.2010.05.026 Van Meensel, 2017, Exploring competitiveness of low input dairy farms across European regions with efficiency analysis