Pieter Jan Kerstens
Pieter Jan Kerstens
VITO / Flemish Institute for Technological Research
Verified email at vito.be - Homepage
Title
Cited by
Cited by
Year
Decomposing the Luenberger–Hicks–Moorsteen total factor productivity indicator: An application to US agriculture
F Ang, PJ Kerstens
European Journal of Operational Research 260 (1), 359-375, 2017
402017
Data envelopment analysis and social enterprises: Analysing performance, strategic orientation and mission drift
M Staessens, PJ Kerstens, J Bruneel, L Cherchye
Journal of Business Ethics 159 (2), 325-341, 2019
292019
Individual welfare analysis for collective households
L Cherchye, S Cosaert, B De Rock, PJ Kerstens, F Vermeulen
Journal of Public Economics 166, 98-114, 2018
82018
Uncertainty management for classification and benchmarking of energy-use preference profiles
C Franco, K Nielsen, PJ Kerstens
2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2018
32018
Production with storable and durable inputs: Nonparametric analysis of intertemporal efficiency
L Cherchye, B De Rock, PJ Kerstens
European Journal of Operational Research 270 (2), 498-513, 2018
32018
Benefit of the Doubt Performance Measurement of Social Enterprises: Mission Lock-in or drift?
J Bruneel, M Staessens, L Cherchye, PJ Kerstens
Academy of Management Proceedings 2017 (1), 13803, 2017
32017
To Mix or Specialise? A Coordination Productivity Indicator for English and Welsh farms
F Ang, PJ Kerstens
Journal of Agricultural Economics 67 (3), 779–798, 2016
32016
Efficiency drivers in harvesting operations in mixed Boreal stands: a Norwegian case study
G Ottaviani Aalmo, PJ Kerstens, H Belbo, P Bogetoft, B Talbot, N Strange
International Journal of Forest Engineering, 1-13, 2020
22020
A performance tool for policy-makers to monitor the dual objective of social enterprises: A data envelopment analysis approach
M Staessens, PJ Kerstens, J Bruneel, L Cherchye
Measuring and Controlling Sustainability, 102-121, 2018
12018
Exact and superlative measurement of the Luenberger-Hicks-Moorsteen productivity indicator
F Ang, PJ Kerstens
Available at SSRN 2902579, 2017
12017
A DEA-based Approach to Customer Value Analysis
L Cherchye, B De Rock, B Dierynck, PJ Kerstens, F Roodhooft
ECARES Working Papers 2021, 2021
2021
A superlative indicator for the Luenberger-Hicks-Moorsteen productivity indicator: Theory and application
F Ang, PJ Kerstens
European Journal of Operational Research 285 (3), 1161-1173, 2020
2020
Department of Food and Resource Economics, University of Copenhagen, 2019
PJT Kerstens, K Nielsen
Research output: Working paper› Research Harvard Hougaard, JL, Kerstens, PJTá…, 2019
2019
Benchmarking with uncertain data: a simulation study comparing alternative methods
JL Hougaard, PJ Kerstens, K Nielsen
IFRO Working Paper, 2019
2019
2.5 A performance tool for policy-makers to monitor the dual objective of social enterprises
M Staessens, PJ Kerstens, J Bruneel, L Cherchye
Measuring and Controlling Sustainability: Spanning Theory and Practice, 102, 2018
2018
Superlative approximation of the Luenberger-Hicks-Moorsteen productivity indicator: Theory and application
F Ang, PJ Kerstens
IFRO Working Paper, 2018
2018
Individual Welfare Analysis for Collective Households: KU LEUVEN-Discussion Paper Series, DPS17. 16, November 2017
L Cherchye, S Cosaert, B deRock, PJ Kerstens, F Vermeulen
KU Leuven, Department of Economics, Discussion Paper Series, 2017
2017
Beyond black box modeling in production: methodological advances in nonparametric methods
PJ Kerstens
KU Leuven, 2017
2017
The dynamic Luenberger-Hicks-Moorsteen productivity indicator with an application to dairy farms in South West England
F Ang, PJ Kerstens
2017
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