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Hugo Storm

Personal Details

First Name:Hugo
Middle Name:
Last Name:Storm
Suffix:
RePEc Short-ID:pst952
[This author has chosen not to make the email address public]
https://hstorm.github.io/lab_page/

Affiliation

Institut für Lebensmittel und Ressourcenökonomik
Rheinische Friedrich-Wilhelms-Universität Bonn

Bonn, Germany
http://www.ilr.uni-bonn.de/
RePEc:edi:ilbonde (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Storm, Hugo & Heckelei, Thomas & Baylis, Kathy & Mittenzwei, Klaus, 2019. "Identifying effects of farm subsidies on structural change using neural networks," Discussion Papers 287343, University of Bonn, Institute for Food and Resource Economics.
  2. Saint-Cyr, Legrand Dunold Fils & Storm, Hugo & Heckelei, Thomas2mailto & Piet, Laurent, 2017. "Heterogeneity And Spatial Interdependence In Farm Survival: Evidence From Brittany," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260828, European Association of Agricultural Economists.
  3. Storm, Hugo & Heckelei, Thomas, 2016. "Using Multiple Neighboring Interaction Effects In Spatial Regression Specifications To Reduce Omitted Variable Bias," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244763, German Association of Agricultural Economists (GEWISOLA).
  4. Zavelberg, Yvonne & Storm, Hugo, 2016. "Pricing behaviour of cooperatives and investor-owned dairies under spatial competition," Discussion Papers 250230, University of Bonn, Institute for Food and Resource Economics.
  5. Storm, Hugo & Heckelei, Thomas, 2016. "Local and regional spatial interactions of Norwegian farm growth," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235576, Agricultural and Applied Economics Association.
  6. Zavelberg, Yvonne & Storm, Hugo, 2015. "Pricing behaviour of cooperatives and investor-owned dairies in a spatial market setting," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212681, European Association of Agricultural Economists.
  7. Storm, Hugo & Heckelei, Thomas, 2015. "Local and regional spatial interactions in the analysis of Norwegian farm growth," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212648, European Association of Agricultural Economists.
  8. Storm, Hugo & Mittenzwei, Klaus & Heckelei, Thomas, 2013. "Direct payments, spatial competition and farm survival in Norway," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150022, Agricultural and Applied Economics Association.
  9. Alexander Gocht & Norbert Röder & Sebastian Neuenfeldt & Hugo Storm & Thomas Heckelei, 2012. "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 type layer baseline," JRC Research Reports JRC75524, Joint Research Centre.
  10. Storm, Hugo & Heckelei, Thomas, 2012. "Predicting agricultural structural change using census and sample data," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125185, Agricultural and Applied Economics Association.
  11. Storm, Hugo & Heckelei, Thomas & Mittelhammer, Ron, 2011. "Bayesian estimation of non-stationary Markov models combining micro and macro data," Discussion Papers 162894, University of Bonn, Institute for Food and Resource Economics.
  12. Storm, Hugo & Heckelei, Thomas & Heidecke, Claudia, 2010. "Demand Estimation for Irrigation Water in the Moroccan Drâa Valley using Contingent Valuation," Discussion Papers 162895, University of Bonn, Institute for Food and Resource Economics.

Articles

  1. Cardona Santos, Elsa & Storm, Hugo & Rasch, Sebastian, 2021. "The cost-effectiveness of conservation auctions in the presence of asset specificity: An agent-based model," Land Use Policy, Elsevier, vol. 102(C).
  2. Rasch, Sebastian & Wünscher, Tobias & Casasola, Francisco & Ibrahim, Muhammad & Storm, Hugo, 2021. "Permanence of PES and the role of social context in the Regional Integrated Silvo-pastoral Ecosystem Management Project in Costa Rica," Ecological Economics, Elsevier, vol. 185(C).
  3. Vroege, Willemijn & Meraner, Manuela & Polman, Nico & Storm, Hugo & Heijman, Wim & Finger, Robert, 2020. "Beyond the single farm – A spatial econometric analysis of spill-overs in farm diversification in the Netherlands," Land Use Policy, Elsevier, vol. 99(C).
  4. Hugo Storm & Kathy Baylis & Thomas Heckelei, 2020. "Machine learning in agricultural and applied economics," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(3), pages 849-892.
  5. Legrand D F Saint-Cyr & Hugo Storm & Thomas Heckelei & Laurent Piet, 2019. "Heterogeneous impacts of neighbouring farm size on the decision to exit: evidence from Brittany," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(2), pages 237-266.
  6. Nkoyo Etim Bassey & Arnim Kuhn & Hugo Storm, 2018. "Are maize marketers averse to quality loss in supplies? A case study from Ghana," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 649-658, September.
  7. Hugo Storm & Thomas Heckelei, 2018. "Reducing omitted-variable bias in spatial-interaction models by considering multiple neighbourhoods," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(4), pages 457-472, October.
  8. Rasch, Sebastian & Heckelei, Thomas & Storm, Hugo & Oomen, Roelof & Naumann, Christiane, 2017. "Multi-scale resilience of a communal rangeland system in South Africa," Ecological Economics, Elsevier, vol. 131(C), pages 129-138.
  9. Hugo Storm & Thomas Heckelei & Ron C. Mittelhammer, 2016. "Bayesian estimation of non-stationary Markov models combining micro and macro data," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(2), pages 303-329.
  10. Storm, Hugo & Heckelei, Thomas & Espinosa, María & Gomez y Paloma, Sergio, 2015. "Short Term Prediction of Agricultural Structural Change using Farm Accountancy Data Network and Farm Structure Survey Data," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 64(03), September.
  11. Hugo Storm & Klaus Mittenzwei & Thomas Heckelei, 2015. "Direct Payments, Spatial Competition, and Farm Survival in Norway," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(4), pages 1192-1205.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Storm, Hugo & Heckelei, Thomas & Baylis, Kathy & Mittenzwei, Klaus, 2019. "Identifying effects of farm subsidies on structural change using neural networks," Discussion Papers 287343, University of Bonn, Institute for Food and Resource Economics.

    Cited by:

    1. Simon Blöthner & Mario Larch, 2021. "Economic Determinants of Regional Trade Agreements Revisited Using Machine Learning," CESifo Working Paper Series 9233, CESifo.

  2. Zavelberg, Yvonne & Storm, Hugo, 2015. "Pricing behaviour of cooperatives and investor-owned dairies in a spatial market setting," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212681, European Association of Agricultural Economists.

    Cited by:

    1. MCarmen Martínez†Victoria & Mariluz Maté Sánchez†Val & Narciso Arcas†Lario, 2018. "Spatial determinants of productivity growth on agri†food Spanish firms: a comparison between cooperatives and investor†owned firms," Agricultural Economics, International Association of Agricultural Economists, vol. 49(2), pages 213-223, March.

  3. Storm, Hugo & Mittenzwei, Klaus & Heckelei, Thomas, 2013. "Direct payments, spatial competition and farm survival in Norway," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150022, Agricultural and Applied Economics Association.

    Cited by:

    1. Mannaf, Maksuda & Wheeler, Sarah Ann & Zuo, Alec, 2023. "Global and Local Spatial Spill-Overs: What Matters Most for the Diffusion of Organic Agriculture in Australia?," Ecological Economics, Elsevier, vol. 209(C).
    2. Alexander Zorn & Franziska Zimmert, 2022. "Structural change in the dairy sector: exit from farming and farm type change," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-31, December.
    3. Franziska Appel & Alfons Balmann, 2023. "Predator or prey? Effects of farm growth on neighbouring farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 214-236, February.
    4. Pennerstorfer, Dieter, 2023. "Farm exits and competition on the land market: Evidence from spatially explicit data," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277630, Verein für Socialpolitik / German Economic Association.
    5. Storm, Hugo & Heckelei, Thomas, 2016. "Using Multiple Neighboring Interaction Effects In Spatial Regression Specifications To Reduce Omitted Variable Bias," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244763, German Association of Agricultural Economists (GEWISOLA).
    6. Plogmann, Jana & Mußhoff, Oliver & Odening, Martin & Ritter, Matthias, 2020. "Farm growth and land concentration," FORLand Working Papers 24 (2020), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    7. Marten Graubner, 2018. "Lost in space? The effect of direct payments on land rental prices," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(2), pages 143-171.
    8. Ioannis Skevas & Alfons Oude Lansink, 2020. "Dynamic Inefficiency and Spatial Spillovers in Dutch Dairy Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 742-759, September.
    9. Stefan Mann, 2021. "Synthesizing Knowledge about Structural Change in Agriculture: The Integration of Disciplines and Aggregation Levels," Agriculture, MDPI, vol. 11(7), pages 1-14, June.
    10. Vroege, Willemijn & Meraner, Manuela & Polman, Nico & Storm, Hugo & Heijman, Wim & Finger, Robert, 2020. "Beyond the single farm – A spatial econometric analysis of spill-overs in farm diversification in the Netherlands," Land Use Policy, Elsevier, vol. 99(C).
    11. Storm, Hugo & Heckelei, Thomas, 2016. "Local and regional spatial interactions of Norwegian farm growth," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235576, Agricultural and Applied Economics Association.
    12. Yanbing Wang & Niklas Möhring & Robert Finger, 2023. "When my neighbors matter: Spillover effects in the adoption of large‐scale pesticide‐free wheat production," Agricultural Economics, International Association of Agricultural Economists, vol. 54(2), pages 256-273, March.
    13. Forstner, Bernhard & Duden, Christoph & Ellßel, Raphaela & Gocht, Alexander & Hansen, Heiko & Neuenfeldt, Sebastian & Offermann, Frank & de Witte, Thomas, 2018. "Wirkungen von Direktzahlungen in der Landwirtschaft - ausgewählte Aspekte mit Bezug zum Strukturwandel," Thünen Working Papers 96, Johann Heinrich von Thünen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries.
    14. Chacattrai Rayasawath, 2018. "Factors Affecting the Household Succession in Agricultural Occupation in Nakhon Ratchasima Province, Thailand," Agriculture, MDPI, vol. 8(7), pages 1-14, July.
    15. Sebastian Neuenfeldt & Alexander Gocht & Thomas Heckelei & Klaus Mittenzwei & Pavel Ciaian, 2021. "Using Aggregated Farm Location Information to Predict Regional Structural Change of Farm Specialisation, Size and Exit/Entry in Norway Agriculture," Agriculture, MDPI, vol. 11(7), pages 1-22, July.
    16. Lim, Dong-Joon & Kim, Moon-Su, 2022. "Measuring dynamic efficiency with variable time lag effects," Omega, Elsevier, vol. 108(C).
    17. Ning Geng & Zengjin Liu & Xuejiao Wang & Lin Meng & Jiayan Pan, 2022. "Measurement of Green Total Factor Productivity and Its Spatial Convergence Test on the Pig-Breeding Industry in China," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    18. Neuenfeldt, S. & Rieger, J. & Heckelei, T. & Gocht, A. & Ciaian, P. & Tetteh, G., 2018. "A multiplicative competitive interaction model to explain structural change along farm specialisation, size and exit/entry using Norwegian farm census data," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277090, International Association of Agricultural Economists.
    19. Kung, Chih-Chun & Zhang, Liguo & Kong, Fanbin, 2016. "How government subsidy leads to sustainable bioenergy development," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 275-284.
    20. Taisuke Takayama & Tomoaki Nakatani & Tetsuji Senda & Takeshi Fujie, 2021. "Less‐favoured‐area payments, farmland abandonment and farm size: evidence from hilly and mountainous areas in Japan," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(3), pages 658-678, July.
    21. Djanibekov, Utkur & Finger, Robert, 2018. "Agricultural risks and farm land consolidation process in transition countries: The case of cotton production in Uzbekistan," Agricultural Systems, Elsevier, vol. 164(C), pages 223-235.
    22. Emmanuel Paroissien & Laure Latruffe & Laurent Piet, 2021. "Early exit from business, performance and neighbours’ influence: a study of farmers in France [Effects of differing farm policies on farm structure and dynamics]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(5), pages 1132-1161.
    23. Forstner, Bernhard & Duden, Christoph & Ellßel, Raphaela & Gocht, Alexander & Hansen, Heiko & Neuenfeldt, Sebastian & Offermann, Frank & de Witte, Thomas, 2018. "Wirkungen von Direktzahlungen in der Landwirtschaft – ausgewählte Aspekte mit Bezug zum Strukturwandel," Thünen Working Paper 272736, Johann Heinrich von Thünen-Institut (vTI), Federal Research Institute for Rural Areas, Forestry and Fisheries.
    24. Becca B. R. Jablonski & Nigel Key & Joleen Hadrich & Allie Bauman & Sarah Campbell & Dawn Thilmany & Martha Sullins, 2022. "Opportunities to support beginning farmers and ranchers in the 2023 Farm Bill," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(3), pages 1177-1194, September.
    25. Neuenfeldt, Sebastian & Gocht, Alexander & Ciaian, Pavel & Heckelei, Thomas & Jongeneel, Roel, 2017. "Structural Change In European Agriculture," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261141, European Association of Agricultural Economists.

  4. Alexander Gocht & Norbert Röder & Sebastian Neuenfeldt & Hugo Storm & Thomas Heckelei, 2012. "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 type layer baseline," JRC Research Reports JRC75524, Joint Research Centre.

    Cited by:

    1. Neuenfeldt, Sebastian & Röder, Norbert & Gocht, Alexander & Espinosa, Maria & Gomez y Paloma, S., 2014. "Using market share and multiplicative competitive interaction models to explain structural change in the German agricultural sector," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182955, European Association of Agricultural Economists.
    2. Sebastian Neuenfeldt & Alexander Gocht & Thomas Heckelei & Klaus Mittenzwei & Pavel Ciaian, 2021. "Using Aggregated Farm Location Information to Predict Regional Structural Change of Farm Specialisation, Size and Exit/Entry in Norway Agriculture," Agriculture, MDPI, vol. 11(7), pages 1-22, July.
    3. Neuenfeldt, S. & Rieger, J. & Heckelei, T. & Gocht, A. & Ciaian, P. & Tetteh, G., 2018. "A multiplicative competitive interaction model to explain structural change along farm specialisation, size and exit/entry using Norwegian farm census data," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277090, International Association of Agricultural Economists.
    4. Neuenfeldt, Sebastian & Gocht, Alexander & Ciaian, Pavel & Heckelei, Thomas & Jongeneel, Roel, 2017. "Structural Change In European Agriculture," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261141, European Association of Agricultural Economists.

  5. Storm, Hugo & Heckelei, Thomas & Mittelhammer, Ron, 2011. "Bayesian estimation of non-stationary Markov models combining micro and macro data," Discussion Papers 162894, University of Bonn, Institute for Food and Resource Economics.

    Cited by:

    1. Storm, Hugo & Heckelei, Thomas, 2012. "Predicting agricultural structural change using census and sample data," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125185, Agricultural and Applied Economics Association.
    2. Alexander Zorn & Franziska Zimmert, 2022. "Structural change in the dairy sector: exit from farming and farm type change," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-31, December.
    3. Storm, Hugo & Heckelei, Thomas & Espinosa, María & Gomez y Paloma, Sergio, 2015. "Short Term Prediction of Agricultural Structural Change using Farm Accountancy Data Network and Farm Structure Survey Data," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 64(03), September.
    4. Alexander Gocht & Norbert Röder & Sebastian Neuenfeldt & Hugo Storm & Thomas Heckelei, 2012. "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 type layer baseline," JRC Research Reports JRC75524, Joint Research Centre.
    5. Saint-Cyr, Legrand D.F. & Piet, Laurent, 2015. "Movers and Stayers in the Farming Sector: Accounting for Unobserved Heterogeneity in Structural Change," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204234, Agricultural Economics Society.
    6. Zorn, Alexander & Zimmert, Franziska, 2020. "Structural adjustment of Swiss dairy farms - farm exit and farm type change," 60th Annual Conference, Halle/ Saale, Germany, September 23-25, 2020 305605, German Association of Agricultural Economists (GEWISOLA).
    7. Unay-Gailhard, İlkay & Bojnec, Štefan, 2016. "Sustainable participation behaviour in agri-environmental measures," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 138, pages 47-58.
    8. Zimmermann, Andrea & Heckelei, Thomas, 2012. "Differences of farm structural change across European regions," Discussion Papers 162879, University of Bonn, Institute for Food and Resource Economics.
    9. Laurent, Piet & Legrand D.F. Saint-Cyr, 2016. "Projection de la population des exploitations agricoles françaises à l’horizon 2025," Working Papers SMART 16-11, INRAE UMR SMART.
    10. Saint-Cyr, Legrand D. F. & Piet, Laurent, 2014. "Movers and Stayers in the Farming Sector: Another Look at Heterogeneity in Structural Change," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183068, European Association of Agricultural Economists.
    11. Oudendag, Diti & Hoogendoorn, Mark & Jongeneel, Roel, 2014. "Agent-Based Modeling of Farming Behavior: A Dutch Case Study on Milk Quota Abolishment and Sustainable Dairying," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182700, European Association of Agricultural Economists.
    12. Neuenfeldt, S. & Rieger, J. & Heckelei, T. & Gocht, A. & Ciaian, P. & Tetteh, G., 2018. "A multiplicative competitive interaction model to explain structural change along farm specialisation, size and exit/entry using Norwegian farm census data," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277090, International Association of Agricultural Economists.

Articles

  1. Rasch, Sebastian & Wünscher, Tobias & Casasola, Francisco & Ibrahim, Muhammad & Storm, Hugo, 2021. "Permanence of PES and the role of social context in the Regional Integrated Silvo-pastoral Ecosystem Management Project in Costa Rica," Ecological Economics, Elsevier, vol. 185(C).

    Cited by:

    1. Carrilho, Cauê D. & Demarchi, Gabriela & Duchelle, Amy E. & Wunder, Sven & Morsello, Carla, 2022. "Permanence of avoided deforestation in a Transamazon REDD+ project (Pará, Brazil)," Ecological Economics, Elsevier, vol. 201(C).
    2. Kemigisha, Esther & Babweteera, Fred & Mugisha, Johnny & Angelsen, Arild, 2023. "Payment for environmental services to reduce deforestation: Do the positive effects last?," Ecological Economics, Elsevier, vol. 209(C).
    3. Andrews, Jeffrey & Borgerhoff Mulder, Monique, 2024. "The value of failure: The effect of an expired REDD+ conservation program on residents’ willingness for future participation," Ecological Economics, Elsevier, vol. 220(C).
    4. Quanxi Wang & Ni Wang & Haodong Wang & Yuan Xiu, 2022. "Study on Influencing Factors and Simulation of Watershed Ecological Compensation Based on Evolutionary Game," Sustainability, MDPI, vol. 14(6), pages 1-23, March.
    5. Maca-Millán, Stefany & Arias-Arévalo, Paola & Restrepo-Plaza, Lina, 2021. "Payment for ecosystem services and motivational crowding: Experimental insights regarding the integration of plural values via non-monetary incentives," Ecosystem Services, Elsevier, vol. 52(C).
    6. Iván Pérez-Rubio & Daniel Flores & Christian Vargas & Francisco Jiménez & Iker Etxano, 2021. "To What Extent Are Cattle Ranching Landholders Willing to Restore Ecosystem Services? Constructing a Micro-Scale PES Scheme in Southern Costa Rica," Land, MDPI, vol. 10(7), pages 1-24, July.
    7. De Petris, Caterina & Drechsler, Martin, 2023. "Harnessing social norms to gain cost-effectiveness in conservation schemes through dynamic scheme design: implications of bounded rationality and other-regarding preferences for Payments for Ecosystem," MPRA Paper 119534, University Library of Munich, Germany, revised 03 Jan 2024.

  2. Vroege, Willemijn & Meraner, Manuela & Polman, Nico & Storm, Hugo & Heijman, Wim & Finger, Robert, 2020. "Beyond the single farm – A spatial econometric analysis of spill-overs in farm diversification in the Netherlands," Land Use Policy, Elsevier, vol. 99(C).

    Cited by:

    1. Luca Romagnoli & Vincenzo Giaccio & Luigi Mastronardi & Maria Bonaventura Forleo, 2021. "Highlighting the Drivers of Italian Diversified Farms Efficiency: A Two-Stage DEA-Panel Tobit Analysis," Sustainability, MDPI, vol. 13(23), pages 1-16, November.
    2. José Luiz Parré & André Luis Squarize Chagas, 2022. "Determinants of agricultural diversification in Brazil: a spatial econometric analysis," Letters in Spatial and Resource Sciences, Springer, vol. 15(2), pages 173-195, August.
    3. Sebastian Neuenfeldt & Alexander Gocht & Thomas Heckelei & Klaus Mittenzwei & Pavel Ciaian, 2021. "Using Aggregated Farm Location Information to Predict Regional Structural Change of Farm Specialisation, Size and Exit/Entry in Norway Agriculture," Agriculture, MDPI, vol. 11(7), pages 1-22, July.
    4. Cordelia Kreft & Mario Angst & Robert Huber & Robert Finger, 2023. "Farmers’ social networks and regional spillover effects in agricultural climate change mitigation," Climatic Change, Springer, vol. 176(2), pages 1-21, February.

  3. Hugo Storm & Kathy Baylis & Thomas Heckelei, 2020. "Machine learning in agricultural and applied economics," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(3), pages 849-892.

    Cited by:

    1. Christian Troost & Julia Parussis-Krech & Matías Mejaíl & Thomas Berger, 2023. "Boosting the Scalability of Farm-Level Models: Efficient Surrogate Modeling of Compositional Simulation Output," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 721-759, October.
    2. Delprato, Marcos & Frola, Alessia & Antequera, Germán, 2022. "Indigenous and non-Indigenous proficiency gaps for out-of-school and in-school populations: A machine learning approach," International Journal of Educational Development, Elsevier, vol. 93(C).
    3. Daniel Cooley & Steven M. Smith, 2022. "Center Pivot Irrigation Systems as a Form of Drought Risk Mitigation in Humid Regions," NBER Chapters, in: American Agriculture, Water Resources, and Climate Change, pages 135-171, National Bureau of Economic Research, Inc.
    4. David Wuepper & Robert Finger, 2023. "Regression discontinuity designs in agricultural and environmental economics," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(1), pages 1-28.
    5. Feras Batarseh & Munisamy Gopinath & Ganesh Nalluru & Jayson Beckman, 2019. "Application of Machine Learning in Forecasting International Trade Trends," Papers 1910.03112, arXiv.org.
    6. Feras A. Batarseh & Munisamy Gopinath & Anderson Monken, 2020. "Artificial Intelligence Methods for Evaluating Global Trade Flows," International Finance Discussion Papers 1296, Board of Governors of the Federal Reserve System (U.S.).
    7. Tobias Dalhaus & Linda Steinhübel & Bernhard Dalheimer & Liesbeth Colen, 2024. "The future of research on sustainable food systems: Building an early‐career network of agricultural economists in Europe," Agribusiness, John Wiley & Sons, Ltd., vol. 40(2), pages 319-324, April.
    8. Juan D. Borrero & Jesús Mariscal & Alfonso Vargas-Sánchez, 2022. "A New Predictive Algorithm for Time Series Forecasting Based on Machine Learning Techniques: Evidence for Decision Making in Agriculture and Tourism Sectors," Stats, MDPI, vol. 5(4), pages 1-14, November.
    9. Kresova, Svetlana & Hess, Sebastian, 2021. "Determinants of Regional Raw Milk Prices in Russia," 61st Annual Conference, Berlin, Germany, September 22-24, 2021 317051, German Association of Agricultural Economists (GEWISOLA).
    10. Shang, Linmei & Wang, Jifeng & Schäfer, David & Heckelei, Thomas & Gall, Juergen & Appel, Franziska & Storm, Hugo, 2024. "Surrogate modelling of a detailed farm‐level model using deep learning," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 75(1), pages 235-260.
    11. Ancín, María & Pindado, Emilio & Sánchez, Mercedes, 2022. "New trends in the global digital transformation process of the agri-food sector: An exploratory study based on Twitter," Agricultural Systems, Elsevier, vol. 203(C).
    12. Svetlana Kresova & Sebastian Hess, 2022. "Identifying the Determinants of Regional Raw Milk Prices in Russia Using Machine Learning," Agriculture, MDPI, vol. 12(7), pages 1-18, July.
    13. Robert Huber & Hang Xiong & Kevin Keller & Robert Finger, 2022. "Bridging behavioural factors and standard bio‐economic modelling in an agent‐based modelling framework," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 35-63, February.
    14. Ziesmer, Johannes & Jin, Ding & Mukashov, Askar & Henning, Christian, 2023. "Integrating fundamental model uncertainty in policy analysis," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    15. Aslihan Arslan, Romina Cavatassi, Marup Hossain, 2022. "Research Series 69: Structural and rural transformation and food systems: a quantitative synthesis for LMICs," IFAD Research Series 320720, International Fund for Agricultural Development (IFAD).
    16. Paolo Libenzio Brignoli & Alessandro Varacca & Cornelis Gardebroek & Paolo Sckokai, 2024. "Machine learning to predict grains futures prices," Agricultural Economics, International Association of Agricultural Economists, vol. 55(3), pages 479-497, May.
    17. Seidel, Claudia & Shang, Linmei & Britz, Wolfgang, 2023. "A critical assessment of neural networks as meta-model of a farm optimization model," Discussion Papers 338200, University of Bonn, Institute for Food and Resource Economics.
    18. Schaefer, David & Britz, Wolfgang & Kuhn, Till, 2020. "Modelling policy induced manure transports at large scale using an agent-based simulation model," Discussion Papers 305270, University of Bonn, Institute for Food and Resource Economics.
    19. Ladina Knapp & David Wuepper & Robert Finger, 2021. "Preferences, personality, aspirations, and farmer behavior," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 901-913, November.
    20. Luigi Biagini & Simone Severini, 2021. "The role of Common Agricultural Policy (CAP) in enhancing and stabilising farm income: an analysis of income transfer efficiency and the Income Stabilisation Tool," Papers 2104.14188, arXiv.org.
    21. Baaken, Dominik & Hess, Sebastian, 2021. "Regionale Milchmengenprognose: Regressionsmodelle und Maschinelles Lernen im Vergleich," 61st Annual Conference, Berlin, Germany, September 22-24, 2021 317056, German Association of Agricultural Economists (GEWISOLA).
    22. Luigi Biagini & Simone Severini, 2022. "Can Machine Learning discover the determining factors in participation in insurance schemes? A comparative analysis," Papers 2212.03092, arXiv.org, revised Dec 2022.
    23. Abbasiharofteh, Milad & Kinne, Jan & Krüger, Miriam, 2021. "The strength of weak and strong ties in bridging geographic and cognitive distances," ZEW Discussion Papers 21-049, ZEW - Leibniz Centre for European Economic Research.
    24. Yongtong Shao & Tao Xiong & Minghao Li & Dermot Hayes & Wendong Zhang & Wei Xie, 2021. "China's Missing Pigs: Correcting China's Hog Inventory Data Using a Machine Learning Approach," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1082-1098, May.
    25. Ogundari, Kolawole, 2021. "A systematic review of statistical methods for estimating an education production function," MPRA Paper 105283, University Library of Munich, Germany.
    26. Akash Malhotra, 2021. "A hybrid econometric–machine learning approach for relative importance analysis: prioritizing food policy," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 549-581, September.
    27. Aslihan Arslan & Romina Cavatassi & Marup Hossain, 2022. "Food systems and structural and rural transformation: a quantitative synthesis for low and middle-income countries," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(1), pages 293-320, February.
    28. Rao, Amar & Talan, Amogh & Abbas, Shujaat & Dev, Dhairya & Taghizadeh-Hesary, Farhad, 2023. "The role of natural resources in the management of environmental sustainability: Machine learning approach," Resources Policy, Elsevier, vol. 82(C).
    29. Yacoubou Djima, Ismael & Kilic, Talip, 2024. "Attenuating measurement errors in agricultural productivity analysis by combining objective and self-reported survey data," Journal of Development Economics, Elsevier, vol. 168(C).
    30. Jianghong Xu & Chenguang Wang & Xukang Yin & Weixin Wang, 2024. "Digital economy and rural household resilience: Evidence from China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(5), pages 244-263.
    31. Dorothee Weiffen & Ghassan Baliki & Tilman Brück, 2022. "Violent conflict moderates food security impacts of agricultural asset transfers in Syria: A heterogeneity analysis using machine learning," HiCN Working Papers 381, Households in Conflict Network.
    32. Baaken, Dominik & Hess, Sebastian, 2021. "Forecasting Regional Milk Production Quantity: A Comparison of Regression Models and Machine Learning," 2021 Conference, August 17-31, 2021, Virtual 315117, International Association of Agricultural Economists.
    33. Louise O Fresco & Floor Geerling-Eiff & Anne-Charlotte Hoes & Lan van Wassenaer & Krijn J Poppe & Jack G A J van der Vorst, 2021. "Sustainable food systems: do agricultural economists have a role? [Interdisciplinary collaboration between natural and social sciences–status and trends exemplified in groundwater research]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(4), pages 694-718.
    34. Mika Ylinen & Mikko Ranta, 2024. "Employer ratings in social media and firm performance: Evidence from an explainable machine learning approach," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 247-276, March.

  4. Legrand D F Saint-Cyr & Hugo Storm & Thomas Heckelei & Laurent Piet, 2019. "Heterogeneous impacts of neighbouring farm size on the decision to exit: evidence from Brittany," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(2), pages 237-266.

    Cited by:

    1. Kionka, Marlene & Odening, Martin & Plogmann, Jana & Ritter, Matthias, 2020. "Measuring liquidity in agricultural land markets," FORLand Working Papers 25 (2020), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    2. Alexander Zorn & Franziska Zimmert, 2022. "Structural change in the dairy sector: exit from farming and farm type change," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-31, December.
    3. Franziska Appel & Alfons Balmann, 2023. "Predator or prey? Effects of farm growth on neighbouring farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 214-236, February.
    4. Plogmann, Jana & Mußhoff, Oliver & Odening, Martin & Ritter, Matthias, 2020. "Farm growth and land concentration," FORLand Working Papers 24 (2020), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    5. Plogmann, Jana & Mußhoff, Oliver & Odening, Martin & Ritter, Matthias, 2022. "Farmland sales under returns and price uncertainty," Economic Modelling, Elsevier, vol. 117(C).
    6. Vroege, Willemijn & Meraner, Manuela & Polman, Nico & Storm, Hugo & Heijman, Wim & Finger, Robert, 2020. "Beyond the single farm – A spatial econometric analysis of spill-overs in farm diversification in the Netherlands," Land Use Policy, Elsevier, vol. 99(C).
    7. Zorn, Alexander & Zimmert, Franziska, 2020. "Structural adjustment of Swiss dairy farms - farm exit and farm type change," 60th Annual Conference, Halle/ Saale, Germany, September 23-25, 2020 305605, German Association of Agricultural Economists (GEWISOLA).
    8. Loic Levi & Obafemi Philippe Koutchade & Laure Latruffe & Aude Ridier, 2018. "Spatial effects in investment decisions: Evidence from French dairy farms," Post-Print hal-02024077, HAL.
    9. Sebastian Neuenfeldt & Alexander Gocht & Thomas Heckelei & Klaus Mittenzwei & Pavel Ciaian, 2021. "Using Aggregated Farm Location Information to Predict Regional Structural Change of Farm Specialisation, Size and Exit/Entry in Norway Agriculture," Agriculture, MDPI, vol. 11(7), pages 1-22, July.
    10. Subal C. Kumbhakar & Jingfang Zhang & Gudbrand Lien, 2023. "Locationally Varying Production Technology and Productivity: The Case of Norwegian Farming," Econometrics, MDPI, vol. 11(3), pages 1-20, August.
    11. Emmanuel Paroissien & Laure Latruffe & Laurent Piet, 2021. "Early exit from business, performance and neighbours’ influence: a study of farmers in France [Effects of differing farm policies on farm structure and dynamics]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(5), pages 1132-1161.

  5. Nkoyo Etim Bassey & Arnim Kuhn & Hugo Storm, 2018. "Are maize marketers averse to quality loss in supplies? A case study from Ghana," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 649-658, September.

    Cited by:

    1. Hendrik Feyaerts & Goedele Van den Broeck & Miet Maertens, 2020. "Global and local food value chains in Africa: A review," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 143-157, January.

  6. Hugo Storm & Thomas Heckelei, 2018. "Reducing omitted-variable bias in spatial-interaction models by considering multiple neighbourhoods," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(4), pages 457-472, October.

    Cited by:

    1. Vroege, Willemijn & Meraner, Manuela & Polman, Nico & Storm, Hugo & Heijman, Wim & Finger, Robert, 2020. "Beyond the single farm – A spatial econometric analysis of spill-overs in farm diversification in the Netherlands," Land Use Policy, Elsevier, vol. 99(C).
    2. Huber, Robert & Zabel, Astrid & Schleiffer, Mirjam & Vroege, Willemijn & Brändle, Julia M. & Finger, Robert, 2021. "Conservation Costs Drive Enrolment in Agglomeration Bonus Scheme," Ecological Economics, Elsevier, vol. 186(C).

  7. Rasch, Sebastian & Heckelei, Thomas & Storm, Hugo & Oomen, Roelof & Naumann, Christiane, 2017. "Multi-scale resilience of a communal rangeland system in South Africa," Ecological Economics, Elsevier, vol. 131(C), pages 129-138.

    Cited by:

    1. Shang, Linmei & Wang, Jifeng & Schäfer, David & Heckelei, Thomas & Gall, Juergen & Appel, Franziska & Storm, Hugo, 2024. "Surrogate modelling of a detailed farm‐level model using deep learning," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 75(1), pages 235-260.
    2. Cristina González-Quintero & V. Sophie Avila-Foucat, 2019. "Operationalization and Measurement of Social-Ecological Resilience: A Systematic Review," Sustainability, MDPI, vol. 11(21), pages 1-18, November.
    3. Xiaoling Xie & Gaonan Zhou & Shibao Yu, 2023. "Study on Rural Ecological Resilience Measurement and Optimization Strategy Based on PSR-“Taking Weiyuan in Gansu Province as an Example”," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    4. Berre, D. & Diarisso, T. & Andrieu, N. & Le Page, C. & Corbeels, M., 2021. "Biomass flows in an agro-pastoral village in West-Africa: Who benefits from crop residue mulching?," Agricultural Systems, Elsevier, vol. 187(C).
    5. Alejandro Huertas Herrera & Mónica D. R. Toro-Manríquez & Cristian Lorenzo & María Vanessa Lencinas & Guillermo Martínez Pastur, 2023. "Perspectives on socio-ecological studies in the Northern and Southern Hemispheres," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    6. Bekele, Adugna Eneyew & Drabik, Dusan & Dries, Liesbeth & Heijman, Wim, 2022. "Resilience of Ethiopian Agropastoral Households in the Presence of Large-Scale Land Investments," Ecological Economics, Elsevier, vol. 200(C).

  8. Hugo Storm & Thomas Heckelei & Ron C. Mittelhammer, 2016. "Bayesian estimation of non-stationary Markov models combining micro and macro data," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(2), pages 303-329.
    See citations under working paper version above.
  9. Storm, Hugo & Heckelei, Thomas & Espinosa, María & Gomez y Paloma, Sergio, 2015. "Short Term Prediction of Agricultural Structural Change using Farm Accountancy Data Network and Farm Structure Survey Data," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 64(03), September.

    Cited by:

    1. Neuenfeldt, S. & Rieger, J. & Heckelei, T. & Gocht, A. & Ciaian, P. & Tetteh, G., 2018. "A multiplicative competitive interaction model to explain structural change along farm specialisation, size and exit/entry using Norwegian farm census data," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277090, International Association of Agricultural Economists.

  10. Hugo Storm & Klaus Mittenzwei & Thomas Heckelei, 2015. "Direct Payments, Spatial Competition, and Farm Survival in Norway," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(4), pages 1192-1205.
    See citations under working paper version above.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 10 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-AGR: Agricultural Economics (6) 2012-06-25 2013-06-09 2013-06-24 2016-02-04 2018-09-17 2019-04-15. Author is listed
  2. NEP-COM: Industrial Competition (2) 2016-01-29 2017-01-08
  3. NEP-CSE: Economics of Strategic Management (2) 2016-02-04 2016-06-04
  4. NEP-HME: Heterodox Microeconomics (2) 2016-01-29 2017-01-08
  5. NEP-IND: Industrial Organization (2) 2016-01-29 2017-01-08
  6. NEP-BIG: Big Data (1) 2019-04-15
  7. NEP-CMP: Computational Economics (1) 2019-04-15
  8. NEP-ECM: Econometrics (1) 2011-05-24
  9. NEP-EUR: Microeconomic European Issues (1) 2013-06-24
  10. NEP-FOR: Forecasting (1) 2013-06-09
  11. NEP-GEO: Economic Geography (1) 2016-02-04
  12. NEP-ORE: Operations Research (1) 2011-05-24
  13. NEP-PAY: Payment Systems and Financial Technology (1) 2019-04-15

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