Aufbauend auf dem agrarökonomischen, dynamischen Optimierungsmodell MAgPIE, zeigen die hier vorgestellten Forschungsergebnisse, dass die Governance-Leistung einen bedeutenden Einfluss auf den technologischen Fortschritt und das Wachstum der Flächenproduktivität hat, insbesondere für in der Entwicklung begriffene Regionen wie Lateinamerika, Afrika südlich der Sahara, Südasien und Südostasien. Dies wirkt sich wiederum auf die Landnutzungsdynamik aus, einschließlich der Ausdehnung von Ackerflächen und der Entwaldung. Neben Umweltauswirkungen beeinflusst die Governance-Leistung auch Lebensmittelpreise und das Handelsverhalten, und damit die Existenzgrundlagen vieler Menschen. Darüber hinaus legt die Dissertation nahe, dass sich das globale Produktivitätswachstum trotz unterschiedlicher sozioökonomischer Bedingungen wahrscheinlich fortsetzen wird. Die Größenordnung der Wachstumsrate unter den jeweiligen Bedingungen variiert jedoch, je nach verwendeten Produktivitätsindizes. Unterschiede in den sozioökonomischen Gegebenheiten führen zu einer Zunahme des Produktivitätswachstums im Ackerbau, was tiefgreifende Auswirkungen auf die Anbaufläche und die Lebensmittelpreise hat. Nicht zuletzt zeigen die Ergebnisse der Dissertation, dass die Liberalisierung des Agrarhandels negative Auswirkungen des Klimawandels auf das landwirtschaftliche Angebot abfedern kann, den Anstieg der Lebensmittelpreise im Zuge von erheblichen klimabedingten Ertragseinbußen begrenzen und die Ausdehnung der Anbauflächen im globalen Maßstab verringern kann. In bestimmten Regionen kann es aufgrund von veränderten Handelsmustern zu einer Ausdehnung der Anbauflächen kommen. In Zusammenschau der Ergebnisse aus den Einzelstudien vertieft die vorliegende Dissertation das Verständnis für potenzielle Zielkonflikte und Synergien von wirtschaftspolitischen Optionen, die darauf abzielen, die Produktionskapazitäten im landwirtschaftlichen Sektor der steigenden Nachfrage entsprechend auszubauen. / Building upon an agro-economic dynamic optimization model known as MAgPIE, this dissertation fseeks to enhance representation of the economic factors in the model. The research findings reveal that governance performance has a significant impact on technological progress and land productivity growth, especially for developing regions, such as Latin America, Sub-Saharan Africa, South Asia, and Southeast Asia. This, in turn, exerts impacts on land dynamics, including cropland expansion and deforestation. Aside from environmental impacts, governance performance affects livelihoods, as it influences food prices and trade patterns. Moreover, the dissertation suggests that global productivity growth is likely to continue, despite differences in possible socioeconomic conditions. However, the magnitude of the growth rate under each set of conditions will vary, according to different productivity indices. Differences in socioeconomic conditions lead to a spread in productivity growth in the crop sector, which will have profound implications for cropland expansion and food prices. Last but not least, the dissertation argues that liberalizing agricultural trade can buffer negative impacts from climate change on agricultural supply, limit increasing food prices in a scenario of high-end climate impacts on crop yields, and reduce cropland expansion on the global scale, though it may induce cropland expansion in certain regions due to changes in trade patterns. Synthesizing the findings from the individuals studies of which it is comprised, the dissertation is intended to enhance understanding of the trade-offs and synergies of economic options for agricultural outputs to keep pace with increasing demand and, thereby, contribute to the core discussion among agricultural economists on food production and its economic and environmental impacts.

The aim of the doctoral thesis is to design and verify a model measuring complex corporate performance integrating environmental, social, economic and Corporate Governance performance in a selected sector of CZ – NACE. The model was constructed in six steps. A basic set of key performance indicators was designed by a synthesis of findings from preliminary research and analysis of approaches of international institutions that deal with the issue of corporate sustainability. Through a questionnaire survey a relevance of a proposed basic set of key performance indicators was verified. Key performance indicators were verified on a group of companies which have more than 250 employees and belong to a CZ – NACE 27.1 Manufacture of electric motors, generators, transformers and electricity distribution and control apparatus. Subsequently, a reduction of a number of key performance indicators was done by statistical methods so that the explanatory power of the model has been retained as much as possible. In order to model reflect a reality, weights that express an influence of key performance indicators on corporate performance and sustainability were assigned to key performance indicators. Through a literature research a benchmarks for a reduced set of key performance indicators were determined in order to quantify a performance gap. Key performance indicators were aggregated into a single aggregate indicator measuring complex corporate performance by an additive method.