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Hugo Storm
Hugo Storm
Researcher PhD, University Bonn
Verified email at ilr.uni-bonn.de - Homepage
Title
Cited by
Cited by
Year
Machine learning in agricultural and applied economics
H Storm, K Baylis, T Heckelei
European Review of Agricultural Economics 47 (3), 849-892, 2020
1842020
Direct payments, spatial competition, and farm survival in Norway
H Storm, K Mittenzwei, T Heckelei
American journal of agricultural economics 97 (4), 1192-1205, 2015
822015
Estimating irrigation water demand in the Moroccan Drâa Valley using contingent valuation
H Storm, T Heckelei, C Heidecke
Journal of environmental management 92 (10), 2803-2809, 2011
40*2011
Heterogeneous impacts of neighbouring farm size on the decision to exit: evidence from Brittany
LDF Saint-Cyr, H Storm, T Heckelei, L Piet
European Review of Agricultural Economics 46 (2), 237-266, 2019
392019
Multi-scale resilience of a communal rangeland system in South Africa
S Rasch, T Heckelei, H Storm, R Oomen, C Naumann
Ecological Economics 131, 129-138, 2017
332017
Beyond the single farm–A spatial econometric analysis of spill-overs in farm diversification in the Netherlands
W Vroege, M Meraner, N Polman, H Storm, W Heijman, R Finger
Land Use Policy 99, 105019, 2020
262020
Bayesian estimation of non-stationary Markov models combining micro and macro data
H Storm, T Heckelei, RC Mittelhammer
European Review of Agricultural Economics 43 (2), 303-329, 2016
232016
Permanence of PES and the role of social context in the Regional Integrated Silvo-pastoral Ecosystem Management Project in Costa Rica
S Rasch, T Wünscher, F Casasola, M Ibrahim, H Storm
Ecological Economics 185, 107027, 2021
212021
Modelling farm structural change: A feasibility study for ex-post modelling utilizing FADN and FSS data in Germany and developing an ex-ante forecast module for the CAPRI farm …
A Gocht, N Röder, S Neuenfeldt, H Storm, T Heckelei
JRC Research Reports, 2012
122012
Reducing omitted-variable bias in spatial-interaction models by considering multiple neighbourhoods
H Storm, T Heckelei
Spatial Economic Analysis 13 (4), 457-472, 2018
92018
Short term prediction of agricultural structural change using farm accountancy data network and farm structure survey data
H Storm, T Heckelei, M Espinosa, S Gomez y Paloma
German Journal of Agricultural Economics 64 (3), 163-174, 2015
72015
The cost-effectiveness of conservation auctions in the presence of asset specificity: An agent-based model
EC Santos, H Storm, S Rasch
Land Use Policy 102, 104907, 2021
52021
The case of organic dairy conversion in Norway: Assessment of multivariate neighbourhood effects
TA Marton, H Storm
Q Open 1 (1), qoab009, 2021
52021
Machine learning in agricultural economics
K Baylis, T Heckelei, H Storm
Handbook of Agricultural Economics 5, 4551-4612, 2021
42021
Are maize marketers averse to quality loss in supplies? A case study from Ghana
NE Bassey, A Kuhn, H Storm
Agricultural economics 49 (5), 649-658, 2018
32018
Pricing behaviour of cooperatives and investor-owned dairies in a spatial market setting
Y Zavelberg, H Storm
32015
Farm survival and direct payments in the Norwegian farm sector
H Storm, K Mittenzwei
Norsk institutt for landbruksøkonomisk forskning, 2013
32013
Willingness to Pay for Irrigation Water in the Drâa Valley in Morocco: An Application of the Contingent Valuation Method and the MIVAD Model
H Storm
32009
How much can farmers pay for weeding robots? A Monte Carlo simulation study
L Shang, C Pahmeyer, T Heckelei, S Rasch, H Storm
Precision agriculture 24 (5), 1712-1737, 2023
22023
Surrogate modelling of a detailed farm‐level model using deep learning
L Shang, J Wang, D Schäfer, T Heckelei, J Gall, F Appel, H Storm
Journal of Agricultural Economics 75 (1), 235-260, 2024
12024
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