Analysis of structural change and dynamic adjustments in agriculture
This research line applies different types of econometric estimators as well as Agent Based Modelling to analyze farm structural change and dynamic adjustments in agriculture.
The focus is on studying the fundamental drivers of farm structural change, to analyze how policy decisions can affect the process and in turn how structural adjustment affects policy outcomes. Structural change research is conducted for Germany, the EU, Norway and South Africa.
In particular we work on analyzing farm level spatial interactions using Spatial Econometric techniques as well as Agent Based Models. An Agent Based Model approach is also applied in a developing country context to study dynamic structural decisions at farm level in response to changes in the social and natural environment. In the past our teams have contributed to methodical developments and the empirical application of Markov chain models using Cross Entropy and Bayesian estimation techniques combining individual farm level micro data with aggregated macro data.
The Agent Based Modelling of farm structural change is closely related to our research on the dairy sector and on climate change impacts and other long term drivers on agriculture in Africa.
Most recently we focused on bridging the gaps between macro and micro level socio-economic models using novel Machine learning tools. Specifically, we aim to upscale Agent based models beyond the regional level.
- DairyStruct (Understanding spatial interactions and structural change in the dairy production chain with a dynamic regional Agent Based Model covering dairy farms and dairy processing, DFG individual grant, 2015-2018), applying an Agent Based Model of structural change, by Wolfgang Britz and Thomas Heckelei, with a close relation to our research line on dariy
- Empirical analysis of farm level spatial interactions and their role for aggregated policy impact analysis, DFG Individual Grant, 2015-2019, by Hugo Storm
- Finalized PhD project by Sebastian Rasch on Resilience, collapse and reorganization of a rangeland socio-ecological system in South Africa. Conducted within the project: RCR (Resilience, Collapse and Reorganisation in Social-Ecological Systems of East- and South Africa's Savannahs, DFG Research Unit [Forschergruppe] FOR 1501, 2010-2016, PIs Thomas Heckelei and Karin Holm-Müller, subproject B2 on "Resilience of SES from a Resource-Economics Perspective")
- Finalized PhD project by Hugo Storm on Methods of analysis and empirical evidence of farm structural change. Conducted within the project: Development of a Bayesian estimator for non-stationary Markov transition probabilities and its application to EU farm structural change, DFG, 2011-2014
- Finalized PhD project by Andrea Zimmermann on Empirical analysis of farm structural change at EU level.
Journal articles / Book chapters
Mittenzwei, K., Storm H., Heckelei, T. (2017): Farm labour and farm income: Case Study from Norway. In: Mishra, A. K., Viaggi, D., Gomez y Paloma, S. (ed.) Public Policy in Agriculture Impact on Labor Supply and Household Income, Routledge. Link.
Rasch, S., T. Heckelei, H. Storm, R. Oomen and C. Naumann (2017): Multi-scale resilience of a communal rangeland system in South Africa. Ecological Economics 131:129-138. Link.
Rasch, S., T. Heckelei, R. Oomen and C. Naumann (2016): Cooperation and collapse in a communal livestock production SES model – A case from South Africa. Environmental Modelling & Software (75): 402-413 Link.
Rasch, S., T. Heckelei and R. Oomen (2016): Reorganizing resource use in a communal livestock production socio-ecological system ins South Africa. Land Use Policy (52):221-231Link.
Storm, H., T. Heckelei and R.C. Mittelhammer (2016): Bayesian estimation of non-stationary Markov models combining micro and macro data. European Review of Agricultural Economics, 43(2):303-329 Link
Storm, H., T. Heckelei, M. Espinosa and S. Gomez y Paloma (2015): Short Term Prediction of Agricultural Structural Change using Farm Accountancy Data Network and Farm Structure Survey Data. German Journal of Agricultural Economics, 64(3).
Storm, H., K. Mittenzwei and T. Heckelei (2015): Direct payments, spatial competition and farm survival in Norway. American Journal of Agricultural Economics, 97(4):1192-1205. Link
Zimmermann, A., Heckelei, T. (2012): Structural Change of European Dairy Farms - A Cross-regional Analysis , Journal of Agricultural Economics 63(3): 576–603 , Link.
Zimmermann, A., Heckelei, T., Pèrez Dominguez, I. (2009): Modelling farm structural change for integrated ex-ante assessment: review of methods and determinants , Environmental Science & Policy 12(5): 601-618 , Link.
Conference contributions, reports
Saint-Cyr, L., Storm, H., Heckelei, T. and Piet, L. (2017): Heterogeneity And Spatial Interdependence In Farm Survival: Evidence From Brittany. International Congress of the European Association of Agricultural Economists (EAAE), August 28-September 1, 2017, Parma, Italy. Link .
Storm, H., and T. Heckelei (2016): Using Multiple Neighboring Interaction Effects in Spatial Regression Specifications to Reduce Omitted Variable Bias. Paper presented at the 56th Annual Conference of the German Association of Agricultural Economists, Bonn, Germany, September 28-30, 2016. Link .
Storm, H. and T. Heckelei (2016): Local and regional spatial interactions of Norwegian farm growth. Paper presented at the 2016 AAEA Annual Meetings, Boston, Massachusetts, July 31-August 2, 2016. Link
Storm, H. and T. Heckelei (2015): Local and regional spatial interactions in the analysis of Norwegian farm growth. Paper presented at the 150th EAAE Seminar, Edinburgh, UK, October 22-23, 2015. Link
Storm, H., T. Heckelei and Ron C. Mittelhammer (2014): Bayesian Estimation of Non-Stationary Markov Models Combining Micro and Macro Data. Paper presented at the 2014 EAAE Congress, Ljubljana, Slovenia, August 16-29, 2014. Link
Storm, H., K. Mittenzwei and T. Heckelei (2013): Direct payments, spatial competition and farm survival in Norway. Paper presented at the 2013 AAEA Annual Meetings, Washington, DC, August 4-6, 2013. Link
Storm, H. and K. Mittenzwei (2013): Farm survival and direct payments in the Norwegian farm sector, Norwegian Agricultural Economics Research Institute, Discussion paper 2013-5 Link
Gocht, A., Röder, N., Neuenfeldt, S., Storm, H., Heckelei, T. (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, in: María Espinosa, Sergio Gomez y Paloma (eds.) European Commission, Joint Research Centre, Report EUR 25555 EN, Luxembourg: Publications Office of the European Union, 2012 , Link.
Storm, H., Heckelei, T. (2012): Predicting agricultural structural change using census and sample data. Poster presented at the 2012 AAEA Annual Meetings, August 12-14, 2012, Seattle (USA). Link
Zimmermann, A., Heckelei, T. (2012): Differences of Farm Structural Change across European Regions. Discussion paper 2012:4, Institute for Food and Resource Economics, University of Bonn. Link
Heckelei, T. (2010): Structural Change and Policy Impact Modelling , invited paper presented at the 114th EAAE-Seminar "Structural Change in Agriculture", 15 - 16 April 2010, Berlin (Germany).
Zimmermann, A., Heckelei, T. (2009): Farm structural change in European regions , in: Integrated Assessment of Agriculture and Sustainable Development (AgSAP), 10-12 March, 2009, Egmond aan Zee (The Netherlands): 168-169.
Rasch, S. (2016): Resilience, collapse and reorganization of a rangeland socio-ecological system in South Africa. Dissertation, University of Bonn, URN: urn:nbn:de:hbz:5n-43651.
Storm, H. (2014): Methods of analysis and empirical evidence of farm structural change. Dissertation, University of Bonn, URN: urn:nbn:de:hbz:5n-37174.
Zimmermann, A. (2012): Empirical analysis of farm structural change at EU-level. Dissertation, University of Bonn, URN: urn:nbn:de:hbz:5N-29053.
Last updated: Thursday, November 07, 2019
- Research meetings must be more sustainable, Sanz-Cobena, A., Alessandrini, R., Bodirsky, B. L., Springmann, M., Aguilera, E., Amon, B., Bartolini, F., Geupel, M., Grizzetti, B., Kugelberg, S., Latka, C., Liang, X., Milford, A. B., Musinguzi, P., Ng, E. L., Suter, H., Leip, A. (2020): Nature Food 1: 187-189.Modelling food security: Bridging the gap between the micro and the macro scale, Müller, B., Hoffmann, F., Heckelei, T., Müller, C., Hertel, T. W., Polhill, J. G., van Wijk, M., Achterbosch, T., Alexander, P., Brown, C., Kreuer, D., Ewert, F., Ge, J., Millington, J. D. A., Seppelt, R., Verburg, P. H., Webber, H. (2020): Global Environmental Change 63: 16 pages.Forecasting International Sugar Prices: A Bayesian Model Average Analysis, Amrouk, E. M., Heckelei, T. (2020): Sugar Tech: 11 pages.Brexit: an economy-wide impact assessment on trade, immigration, and foreign direct investment, Jafari, Y., Britz, W. (2020): Empirica 47(1): 17-52.Efficiency differentials in resource-use among smallholder cassava farmers in southwestern Cameroon, Molua, E. L., Tabe-Ojong, M. P., Meliko, M. O., Nkenglefac, M. F., Akamin, A. (2019): Development in Practice: 11 pages.New insights on efficiency and productivity analysis: Evidence from vegetable-poultry integration in rural Tanzania, Habiyaremye, N., Tabe-Ojong, M. P., Ochieng, J., Chagomoka, T. (2019): Scientific African 6(e00190): 11 pages.Explaining farm structural change in the European agriculture: a novel analytical framework, Neuenfeldt, S., Gocht, A., Heckelei, T., Ciaian, P. (2019): European Review of Agricultural Economics 46(5): 713-768.Machine learning in agricultural and applied economics Storm, H., Baylis, K., Heckelei, T. (2019): European Review of Agricultural Economics, jbz033: 44 pagesInterdependence between cash crop and staple food international prices across periods of varying financial market stress Amrouk, E. M., Grosche, S., Heckelei, T. (2019): Applied Economics: 16 pages.