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Department Structural Change

Structural Development of Farms and Rural Areas

This department researches process complexities of agrarian structural change. Special focus is placed on inherent dynamics, influencing factors and effects, which are analyzed on various analytical levels by means of a broad array of methodical instruments.

Research subjects are, firstly, the development of enterprises in the agricultural and food sector, including their strategies and organization. Secondly, the effects that changing framework conditions such as agricultural policies have on agricultural businesses and structural change are analyzed. Thirdly, institutional economics and system theory questions relating to the role of nonprofit organizations and civil society engagement in the agricultural and food sector are investigated. A fourth focus is on interdependencies between the environment, resources, structural change and growth, in which context the changes of land use are studied or agricultural production potentials are assessed.

The department’s key methodical competencies are in the field of computational economics, particularly agent-based modeling. Further methodological expertise has been developed in spatial econometry, data mining, econometric methods, as well as productivity and efficiency analyses.

Latest publications of the department

; ; ; ; (2020) 800 years of agricultural land-use change in Asian (Eastern) Russia. In: Frühauf, M., Guggenberger, G., Meinel, T., Theesfeld, I., Lentz, S. (eds.): KULUNDA: Climate smart agriculture, South Siberian agro-steppe as pioneering region for sustainable land use, 67-87: Springer.

Abbasiharofteh, Milad; , ; , ; , ; , ; , ; , ; , ; (2019) Räumliche Transformation : Prozesse, Konzepte, Forschungsdesigns. 0

(2019) AgriMyths Project Report 2019. 0

; ; ; (2019) Supply chain networks in the Armenian agribusiness: Setting a benchmark. Economia agro-alimentare 21 (2): 359-378.

; ; (2019) Wie lässt sich das Getreideproduktionspotenzial Russlands mobilisieren? Russland-Analysen (375): 3-7.

; ; ; ; (2019) Big data insights into social macro trends (1800-2000): A replication study. Technological Forecasting and Social Change 149

; ; ; ; ; ; (2019) Classification of ice crystal habits observed from airborne Cloud Particle Imager by deep transfer learning. Earth and Space Science 6 (10): 1877-1886.

; (2019) Adaption des Agrarstrukturmodells AgriPoliS zur Modellierung außerlandwirtschaftlicher Investoren in der Biogasproduktion. In: Henning, C., Hess, S., Latacz-Lohmann, U., Loy, J.-P., Thiele, H., Braatz, M. (Hrsg.): Visionen für eine Agrar- und Ernährungspolitik nach 2020 (Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaus, Bd. 54), 237-248: Landwirtschaftsverlag Münster.

; (2019) Resilience, stakeholder orientation, and land markets: The case of Ukrainian agroholdings. EAAE.

; (2019) Dynamics of the agricultural land market in Romania - Non-agricultural investments in primary agriculture. EAAE.

More publications in the same department