Cited by 587Efficiency Analysis Using DEAClimate change impacts on agricultureAgricultural Economics and Practices

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The yield gap of global grain production: A spatial analysis

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Neumann, Kathleen, Verburg, Peter H., Stehfest, Elke, Müller, Christoph·2010·Agricultural Systems

DOI 10.1016/j.agsy.2010.02.004

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Global Consequences of Land Use
Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., Chapin, F. S., Coe, M. T., Daily, G. C., Gibbs, H. K., et al. (2005) · Science · doi:10.1126/science.1111772 · Cited by 13,272
Formulation and estimation of stochastic frontier production function models
Aigner, D., Lovell, C. A. K., & Schmidt, P. (1977) · Journal of Econometrics · doi:10.1016/0304-4076(77)90052-5 · Cited by 10,135
Philosophical transactions of the Royal Society of London. B
Press, H. (1886) · Cited by 10,087
Agricultural sustainability and intensive production practices
Tilman, D., Cassman, K. G., Matson, P. A., Naylor, R., & Polasky, S. (2002) · Nature · doi:10.1038/nature01014 · Cited by 7,957
An Introduction to Efficiency and Productivity Analysis
Coelli, T. J., Rao, D. S. P., O’Donnell, C. J., & Battese, G. E. (2005) · Springer eBooks · doi:10.1007/b136381 · Cited by 6,926
Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
Meeusen, W., & van Den Broeck, J. (1977) · International Economic Review · doi:10.2307/2525757 · Cited by 6,247
A model for technical inefficiency effects in a stochastic frontier production function for panel data
Battese, G. E., & Coelli, T. J. (1995) · Empirical Economics · doi:10.1007/bf01205442 · Cited by 5,978
An Introduction to Efficiency and Productivity Analysis
Coelli, T., Rao, D. S. P., & Battese, G. E. (1998) · Springer eBooks · doi:10.1007/978-1-4615-5493-6 · Cited by 4,552
The causes of land-use and land-cover change: moving beyond the myths
Lambin, E. F., Turner, B. L., Geist, H. J., Agbola, S. B., Angelsen, A., Bruce, J. W., Coomes, O. T., Dirzo, R., Fischer, G., Folke, C., et al. (2001) · Global Environmental Change · doi:10.1016/s0959-3780(01)00007-3 · Cited by 3,788
Agricultural Intensification and Ecosystem Properties
Matson, P. A., Parton, W. J., Power, A. G., & Swift, M. J. (1997) · Science · doi:10.1126/science.277.5325.504 · Cited by 3,160

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Authors: Neumann, K., Verburg, P. H., Stehfest, E., & Müller, C.
Affiliations: Wageningen University & Research (NL)
Vrije Universiteit Amsterdam (NL)
Netherlands Environmental Assessment Agency (NL)
Corresponding author: Neumann, Kathleen
ORCID: Verburg, Peter H.
Stehfest, Elke
Müller, Christoph
Venue: Agricultural Systems
Publisher: Elsevier BV
Published: 2010-06
Volume: 103
Issue: 5
Pages: 316-326
ISSN: 0308-521X (ISSN-L)
DOI: 10.1016/j.agsy.2010.02.004
OpenAlex: W2148170135
Cited by: 587
References: 75
Citations by year: 2026: 14 · 2025: 27 · 2024: 26 · 2023: 43 · 2022: 44 · 2021: 52 · 2020: 29 · 2019: 60 · 2018: 65 · 2017: 45 · 2016: 34 · 2015: 28 · 2014: 30 · 2013: 42 · 2012: 26
FWCI: 38.80
Type: journal article
Language: en
Open access: green
research.wur.nl
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Agricultural Systems (publishedVersion)
VU Research Portal (publishedVersion)
Socio-Environmental Systems Modeling (acceptedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion, other-oa)
Data Archiving and Networked Services (DANS) (submittedVersion)
Topics: Social Sciences › Decision Sciences › Management Science and Operations Research › Efficiency Analysis Using DEA
Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Climate change impacts on agriculture
Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Economics and Practices
Keywords: yield gap, agricultural intensification, production efficiency, wheat, maize, rice, irrigation, market access, agricultural labor, slope, land management, spatial analysis

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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The yield gap of global grain production: A spatial analysis

Overview

Integrity signals

Verification

Claims the paper makes

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks