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.
Comparing cars with apples? Identifying the appropriate benchmark countries for relative ecological pollution rankings and international learning
(2021) Hartmann, Dominik; Ferraz, Diogo; Bezerra, Mayra; Pyka, Andreas; Pinheiro, Flávio L.
One of the most difficult tasks that economies face is how to generate economic growth without causing environmental damage. Research in economic complexity has provided new methods to reveal structural constraints and opportunities for green economic diversification and sophistication, as well as the effects of economic complexity on environmental pollution indicators. However, no research so far has compared the ecological efficiency of countries with similar productive structures and levels of economic complexity, and used this information to identify the best learning partners. This matters, because there are substantial differences in the environmental damage caused by the same product in different countries, and green diversification needs to be complemented by substantial efficiency improvements of existing products. In this article, we use data on 774 different types of exports, CO2 emissions, and the ecological footprint of 99 countries to create first a relative ecological pollution ranking (REPR). Then, we use methods from network science to reveal a benchmark network of the best learning partners based on country pairs with a large extent of export similarity, yet significant differences in pollution values. This is important because it helps to reveal adequate benchmark countries for efficiency improvements and sustainable production, considering that countries may specialize in substantially different types of economic activities. Finally, the article i) illustrates large efficiency improvements within current global output levels, ii) helps to identify countries that can best learn from each other, and iii) improves the information base in international negotiations for the sake of a cleaner global production system.
Endogenous task allocation and intrafirm bargaining: a note
(2025) Marczak, Martyna; Beissinger, Thomas
We develop a model that incorporates task-based production into a matching model with intrafirm wage bargaining. Unlike in existing task-based models, the representative firm derives the optimal task allocation as a function of capital and labor, rather than relative factor prices. Embedding this mechanism in a model with strategic employment choice, we show how the properties of task-level technology affect the extent of overhiring.
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.
Leveraging regionally sourced natural fibers for coreless filament winding in sustainable construction
(2026) Rossa, Alina J.; Bozó, Daniel Christopher; Mindermann, Pascal; Gresser, Götz T.; Schuenemann, Franziska
This study investigates the potential of regionally sourced natural fibers (NF) as sustainable feedstocks for coreless filament winding (CFW), an innovative and resource-efficient composite fabrication method for construction. As the sector moves towards bio-based materials, flax has emerged as a benchmark due to its compatibility with CFW and favorable mechanical properties. However, supply chain vulnerabilities and price volatility highlight the need for regional alternatives to flax fibers. By assessing hemp, miscanthus, lavender, nettle and wheat straw cultivated in Baden-Württemberg (BW), this paper links crop sustainability and fiber suitability with the broader aim of strengthening local biomass utilization within the bioeconomy. A multi-stage evaluation framework compares environmental, economic, social, and technical indicators against flax, focusing on biomass availability, input intensity, ecosystem services, land-use competition, and fiber properties. The results identify hemp as the most promising alternative due to its high fiber output, low cultivation inputs, beneficial ecosystem services and mechanical performance. Nettle offers strong mechanical performance but faces agronomic limitations, while lavender presents niche potential under integrated production systems. Miscanthus and wheat straw, while unsuitable for direct CFW due to fiber morphology, may serve as supplementary feedstocks through modified processing. These findings underscore the role of local biomass streams in creating robust regional value chains, contributing to the resilience and sustainability of the bioeconomy. While the focus of this study is on BW, the framework can be transferred to other regions and may serve as a practical tool for policy, industry, and research seeking to advance circular approaches in bio-based construction.
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.
Time to say ‘good buy’ to the passive consumer? A conceptual review of the consumer in the bioeconomy
(2021) Wilke, Ulrich; Schlaile, Michael P.; Urmetzer, Sophie; Mueller, Matthias; Bogner, Kristina; Pyka, Andreas
Successful transitions to a sustainable bioeconomy require novel technologies, processes, and practices as well as a general agreement about the overarching normative direction of innovation. Both requirements necessarily involve collective action by those individuals who purchase, use, and co-produce novelties: the consumers. Based on theoretical considerations borrowed from evolutionary innovation economics and consumer social responsibility, we explore to what extent consumers’ scope of action is addressed in the scientific bioeconomy literature. We do so by systematically reviewing bioeconomy-related publications according to (i) the extent to which consumers are regarded as passive vs. active, and (ii) different domains of consumer responsibility (depending on their power to influence economic processes). We find all aspects of active consumption considered to varying degrees but observe little interconnection between domains. In sum, our paper contributes to the bioeconomy literature by developing a novel coding scheme that allows us to pinpoint different aspects of consumer activity, which have been considered in a rather isolated and undifferentiated manner. Combined with our theoretical considerations, the results of our review reveal a central research gap which should be taken up in future empirical and conceptual bioeconomy research. The system-spanning nature of a sustainable bioeconomy demands an equally holistic exploration of the consumers’ prospective and shared responsibility for contributing to its coming of age, ranging from the procurement of information on bio-based products and services to their disposal.

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