Humboldt-Universität zu Berlin - Faculty of Life Sciences - Department of Agricultural Economics

2021   2020     2019     2018     2017     2016

2021

• Ritter, M., Ott, D.V.M., Paul, F., Haynes, J.-D., Ritter, K. (2021): COVID-19: a simple statistical model for predicting intensive care unit load in exponential phases of the disease. Scientific Reports 11: 5018. https://doi.org/10.1038/s41598-021-83853-2.

2020

• Balmann, A., Demoustier, J., Grau, A., Graubner, M., Hüttel, S., Kahle, C., Müller, D., Odening, M., Plogmann, J., Ritter, M., Seifert, S. (2020): Marktmacht in landwirtschaftlichen Bodenmärkten – Bedeutung, Messung, Abgrenzung. BLE Förderkennzeichen: 2818HS002. Abschlussbericht.
• Grau, A., Jasic, S., Ritter, M., Odening, M. (2020): The Impact of Production Intensity on Agricultural Land Prices. Austrian Journal of Agricultural Economics and Rural Studies Vol. 29.8, https://oega.boku.ac.at/fileadmin/user_upload/Tagung/2019/AJARS29/01_Grau__Jasic__Ritter_und_Odening_DOI29_8.pdf.
• Grau, A., Odening, M., Ritter, M. (2020): Land price diffusion across borders – The case of Germany. Applied Economics 52(10): 5446-5463. https://doi.org/10.1080/00036846.2019.1673299.
• Helbing, G., Ritter, M. (2020): Improving Wind Turbine Power Curve Monitoring with Standardisation. Renewable Energy 145: 1040-1048. https://doi.org/10.1016/j.renene.2019.06.112.
• Kionka, M., Odening, M., Plogmann, J., Ritter, M. (2020): Measuring Liquidity in Agricultural Land Markets. Humboldt-Universität zu Berlin. FORLand-Working Paper 25(2020). https://doi.org/10.18452/22244.
• Plogmann, J., Mußhoff, O., Odening, M., Ritter, M. (2020): What Moves the German Land Market? A Decomposition of the Land Rent-Price Ratio. German Journal of Agricultural Economics 69(1): 1-18. https://doi.org/10.30430/69.2020.1.1-18.
• Plogmann, J., Mußhoff, O., Odening, M., Ritter, M. (2020): Farm growth and land concentration. FORLand-Working Paper 24(2020). https://doi.org/10.18452/21399.
• Ritter, M., Haynes, J.-D., Ritter, K. (2020): Covid-19 - A simple statistical model for predicting ICU load in exponential phases of the disease. arXiv preprint. https://arxiv.org/abs/2004.03384.
• Ritter, M., Hüttel, S., Odening, M., Seifert, S. (2020): Revisiting the relationship between land price and parcel size in agriculture. Land Use Policy 97. https://doi.org/10.1016/j.landusepol.2020.104771.
• Wilke, A., Shen, Z., Ritter, M. (2020): How Much Can Small-Scale Wind Energy Production Contribute to Energy Supply in Cities? A Case Study of Berlin. USAEE Working Paper No. 20-447. https://ssrn.com/abstract=3598580.

2019

• Grau, A., Jasic, S., Ritter, M., Odening, M. (2019): The Impact of Production Intensity on Agricultural Land Prices. FORLand Working Paper 09(2019). https://doi.org/10.18452/20103.
• Myrna, O., Odening, M., Ritter, M. (2019): The influence of wind energy and biogas on farmland prices. Land 8(1). https://doi.org/10.3390/land8010019.
• Plogmann, J., Mußhoff, O., Odening, M., Ritter, M. (2020): What Moves the German Land Market? A Decomposition of the Land Rent-Price Ratio. German Journal of Agricultural Economics. Accepted.
• Ritter, M., Hüttel, S., Odening, M., Seifert, S. (2019): Revisiting the relationship between land price and parcel size. FORLand Working Paper 08 (2019). https://doi.org/10.18452/19877.
• Yang, X., Odening, M., Ritter, M. (2019): The Spatial and Temporal Diffusion of Agricultural Land Prices. Land Economics 95(1): 108-123. https://doi.org/10.3368/le.95.1.108.

2018

• Grau, A., Odening, M., Ritter, M. (2018): Land price diffusion across borders: The case of Germany. Humboldt-Universität zu Berlin. FORLand Working Paper 03(2018). http://dx.doi.org/10.18452/19263.
• Helbing, G., Ritter, M. (2018): Deep Learning for fault detection in wind turbines. Renewable and Sustainable Energy Reviews 98: 189-198. https://doi.org/10.1016/j.rser.2018.09.012.
• Mansi, G., Edwan, E., Elnaggar, M., Ritter, M. (2018): Design of COTS Vertical Axis Wind Turbine for Urban Areas. Proceedings of the 2018 International Conference on Promising Electronic Technologies (ICPET), IEEE. https://doi.org/10.1109/ICPET.2018.00019.
• Plogmann, J., Mußhoff, O., Odening, M., Ritter, M. (2018): What Moves the German Land Market? A Decomposition of the Land Rent-Price Ratio. FORLand Working Paper 05(2018). http://dx.doi.org/10.18452/19486.2.
• Yang, X., Odening, M., Ritter, M. (2018): The Spatial and Temporal Diffusion of Agricultural Land Prices. FORLand Working Paper 01(2018). http://dx.doi.org/10.18452/18720.

2017

• Elnaggar, M., Edwan, E., Ritter, M. (2017), Wind Energy Potential of Gaza Using Small Wind Turbines: A Feasibility Study. Energies 10(8), 1229. http://dx.doi.org/10.3390/en10081229.
• Helbing, G., Ritter, M. (2017): Power Curve Monitoring with Flexible EWMA Control Charts. Proceedings of the 2017 International Conference on Promising Electronic Technologies (ICPET), IEEE. https://doi.org/10.1109/ICPET.2017.29
• Helbing, G., Shen, Z., Odening, M., Ritter, M. (2017): Estimating location values of agricultural land. German Journal of Agricultural Economics 66(3): 188-201. http://www.gjae-online.de/news/pdfstamps/outputs/GJAE-2aac415a7ccd11598fb37ad0de4b6b19.pdf.
• Helbing, G., Shen, Z., Odening, M., Ritter, M. (2017): Estimating location values of agricultural land. SFB 649 Discussion Paper 2017-002. http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2017-002.pdf.
• Ritter, M., Helbing, G., Shen, Z., Odening, M. (2017): Estimating location values of agricultural land. Presented at German Association of Agricultural Economists (GEWISOLA) 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017. https://ageconsearch.umn.edu/record/261985/files/Ritter_118.pdf.
• Ritter, M., Yang, X., Odening, M. (2017): Spatial Integration of Agricultural Land Markets. Presented at the European Association of Agricultural Economists (EAAE) 2017 International Congress, August 28-September 1, 2017, Parma, Italy. http://ageconsearch.umn.edu/record/261430/.
• Ritter, M., Yang, X., Odening, M. (2017): Spatial Integration of Agricultural Land Markets. Presented at the Agricultural and Applied Economics Association (AAEA) 2017 Annual Meeting, July 30-August 1, Chicago, Illinois. http://ageconsearch.umn.edu/record/258133/.
• Ritter, M., Deckert, L. (2017): Site assessment, turbine selection, and local feed-in tariffs through the wind energy index. Applied Energy 185(2): 1087–1099. http://dx.doi.org/10.1016/j.apenergy.2015.11.081.
• Ritter, M., Pieralli, S., Odening, M. (2017): Neighborhood Effects in Wind Farm Performance: A Regression Approach. Energies 2017, 10(3), 365. http://dx.doi.org/10.3390/en10030365.
• Wratil, P. (Hg.), Helbing, G., Wiens, O. (2017): Forschungsbericht I. Ergebnisse der Vermächtnisstudie–ein erster Überblick. Discussion Paper P 2017-006. Wissenschaftszentrum Berlin für Sozialforschung. https://bibliothek.wzb.eu/pdf/2017/p17-006.pdf.
• Yang, X., Ritter, M., Odening, M. (2017): Testing for Regional Convergence of Agricultural Land Prices. Land Use Policy 64: 64–75. http://dx.doi.org/10.1016/j.landusepol.2017.02.030
• Yang, X., Ritter, M., Odening, M. (2017): Testing for Regional Convergence of Agricultural Land Prices. SiAG-Working Paper 20. Department of Agricultural Economics, Humboldt-Universität zu Berlin. http://dx.doi.org/10.18452/3238

2016

• Hüttel, S., Ritter, M., Esaulov, V., Odening, M. (2016): Is there a term structure in land lease rates? European Review of Agricultural Economics 43(1): 165-187. http://dx.doi.org/10.1093/erae/jbv010.
• Odening, M., Ritter, M., Yang, X. (2016): Agricultural land prices and the law of one price. Proceedings of the 26th Annual Conference of the Austrian Society of Agricultural Economics Wien, 15.-16. September 2016. http://oega.boku.ac.at/de/tagungen/tagung-2016/oega-tagungsband-2016.html
• Ritter, M., Hüttel, S. (2016): Windenergie: Preistreiber auf dem Bodenmarkt? Vermessung Brandenburg 1/2016: 25-31. https://www.geobasis-bb.de/verm_bb/pdf/1_16_Ritter_25-31.pdf
• Ritter, M., Pieralli, S., Odening, M. (2016): Neighborhood Effects in Wind Farm Performance: An Econometric Approach. SFB 649 Discussion Paper 2016-012. http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2016-012.pdf.
• Shen, Z., Ritter, M. (2016): Forecasting volatility of wind power production. Applied Energy 176: 295-308. http://dx.doi.org/10.1016/j.apenergy.2016.05.071.