Institut für Volkswirtschaftslehre

Permanent URI for this collectionhttps://hohpublica.uni-hohenheim.de/handle/123456789/24

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Circular economy, bioeconomy, and sustainable development goals: a systematic literature review
(2023) Ferraz, Diogo; Pyka, Andreas
The circular economy (CE) and bioeconomy (BE) are recognized as potential solutions for achieving sustainable development, yet little research has examined their potential contribution to the United Nations’ Sustainable Development Goals (SDGs). In this study, we conducted a bibliometric analysis of 649 articles published between 2007 and 2022, as well as a systematic literature review of 81 articles, to assess the extent to which the CE and BE communities have addressed the SDGs. Our analysis identified 10 research gaps including the limited number of empirical quantitative papers, particularly in the context of BE, and the underrepresentation of developing regions such as Latin America and Africa in the literature. Our main finding reveals that the CE community primarily focuses on SDG 12, Responsible Consumption and Production, followed by SDG 9, Industry, Innovation, and Infrastructure; SDG 7, Affordable and Clean Energy; and SDG 6, Clean Water and Sanitation. The BE community, on the other hand, focuses primarily on SDG 7, followed by SDG 9 and SDG 12. However, both communities lack attention to social SDGs such as quality education, poverty, and gender equality. We propose that a combination of CE and BE, known as circular bioeconomy, could help countries achieve all SDGs. Further research is needed to develop and implement circular bioeconomy policies that address these gaps and promote sustainable development. In this sense, our study identified an important research gap that needs more attention in the future.
A generalized representation of Faà Di Bruno'S formula using multivariate and matrix‐valued Bell polynomials
(2025) Evers, Michael P.; Kontny, Markus
We provide a generalization of Faà di Bruno’s formula to represent the 𝑛-th total derivative of the multivariate and vector-valued composite 𝑓 ∘𝑔. To this end, we make use of properties of the Kronecker product and the 𝑛-th derivative of the left-composite 𝑓 , which allow the use of a multivariate and matrix-valued form of partial Bell polynomials to represent the generalized Faà di Bruno’s formula. We further show that standard recurrence relations that hold for the univariate partial Bell polynomial also hold for the multivariate partial Bell polynomial under a simple transformation. We apply this generalization of Faà di Bruno’s formula to the computation of multivariate moments of the normal distribution.
Predictor preselection for mixed‐frequency dynamic factor models: a simulation study with an empirical application to GDP nowcasting
(2025) Franjic, Domenic; Schweikert, Karsten
We investigate the performance of dynamic factor model nowcasting with preselected predictors in a mixed‐frequency setting. The predictors are selected via the elastic net as it is common in the targeted predictor literature. A simulation study and an application to empirical data are used to evaluate different strategies for variable selection, the influence of tuning parameters, and to determine the optimal way to handle mixed‐frequency data. We propose a novel cross‐validation approach that connects the preselection and nowcasting step. In general, we find that preselecting provides more accurate nowcasts compared with the benchmark dynamic factor model using all variables. Our newly proposed cross‐validation method outperforms the other specifications in most cases.
Systems entrepreneurship: a conceptual substantiation of a novel entrepreneurial “species”
(2021) Schlaile, Michael P.; Urmetzer, Sophie; Ehrenberger, Marcus B.; Brewer, Joe
In this paper, we explore the notion of systems entrepreneurship in the context of innovation systems (IS) dedicated to transformations towards sustainability. To this end, our paper draws primarily but not exclusively on the leverage points concept, which was originally proposed by Donella H. Meadows and recently refined by sustainability scientists. More precisely, we flesh out four general propositions about the systems entrepreneurial process that serve as a starting point for illuminating how systems entrepreneurs can intervene at deep leverage points to introduce a dedication to sustainability in IS. The paper touches the important issues of directionality, formal institutions, as well as information flows and network structure that have received insufficient attention from researchers, policymakers, and practitioners aiming at transformations towards sustainability (e.g., funders and other support organizations). Taken as a whole, the paper serves as a conceptual basis for further theoretical and empirical work on systems entrepreneurs and dedicated IS. It should be read as a reminder that the fundamentally uncertain processes of systemic change call for collaborative efforts that transcend mental and organizational boundaries.

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