Prof. Dr. Oliver Mußhoff
Profil
Forschungsthemen1
Einstellung deutscher Landwirtinnen und Landwirte zur Umnutzung landwirtschaftlicher Flächen für Klimaschutzmaßnahmen – Das Beispiel Wiedervernässung von Mooren
Quelle ↗Förderer: Landwirtschaftliche Rentenbank Zeitraum: 07/2025 - 12/2026 Projektleitung: Prof. Dr. Oliver Mußhoff, Dr. Marius Michels
Mögliche Industrie-Partner10
Stand: 26.4.2026, 19:48:44 (Top-K=20, Min-Cosine=0.4)
- 34 Treffer60.8%
- Grasslands for biodiversity: supporting the protection of the biodiversity-rich grasslands and related management practices in the Alps and CarpathiansP60.8%
- Grasslands for biodiversity: supporting the protection of the biodiversity-rich grasslands and related management practices in the Alps and Carpathians
- 35 Treffer60.8%
- Grasslands for biodiversity: supporting the protection of the biodiversity-rich grasslands and related management practices in the Alps and CarpathiansP60.8%
- Grasslands for biodiversity: supporting the protection of the biodiversity-rich grasslands and related management practices in the Alps and Carpathians
- 32 Treffer60.8%
- Grasslands for biodiversity: supporting the protection of the biodiversity-rich grasslands and related management practices in the Alps and CarpathiansP60.8%
- Grasslands for biodiversity: supporting the protection of the biodiversity-rich grasslands and related management practices in the Alps and Carpathians
- 105 Treffer60.5%
- Sortenstrategien bei landwirtschaftlichen Nutzpflanzen zur Anpassung an den KlimawandelP60.5%
- Sortenstrategien bei landwirtschaftlichen Nutzpflanzen zur Anpassung an den Klimawandel
Landesamt für Verbraucherschutz, Landwirtschaft und Flurneuordnung Brandenburg
PT109 Treffer60.5%- Sortenstrategien bei landwirtschaftlichen Nutzpflanzen zur Anpassung an den KlimawandelP60.5%
- Sortenstrategien bei landwirtschaftlichen Nutzpflanzen zur Anpassung an den Klimawandel
- 109 Treffer60.5%
- Sortenstrategien bei landwirtschaftlichen Nutzpflanzen zur Anpassung an den KlimawandelP60.5%
- Sortenstrategien bei landwirtschaftlichen Nutzpflanzen zur Anpassung an den Klimawandel
- 41 Treffer60.2%
- GreenGrass – Innovative Nutzung des Grünlands für eine nachhaltige Intensivierung der Landwirtschaft im LandschaftsmaßstabP60.2%
- GreenGrass – Innovative Nutzung des Grünlands für eine nachhaltige Intensivierung der Landwirtschaft im Landschaftsmaßstab
- 47 Treffer59.7%
- GreenGrass 2: Innovative Nutzung des Grünlands für eine nachhaltige Intensivierung der Landwirtschaft im LandschaftsmaßstabP59.7%
- GreenGrass 2: Innovative Nutzung des Grünlands für eine nachhaltige Intensivierung der Landwirtschaft im Landschaftsmaßstab
Horizont group GmbH
P45 Treffer59.7%- GreenGrass 2: Innovative Nutzung des Grünlands für eine nachhaltige Intensivierung der Landwirtschaft im LandschaftsmaßstabP59.7%
- GreenGrass 2: Innovative Nutzung des Grünlands für eine nachhaltige Intensivierung der Landwirtschaft im Landschaftsmaßstab
- 15 Treffer59.6%
- Climate-smart rewilding: ecological restoration for climate change mitigation, adaptation and biodiversity support in EuropeP59.6%
- Validating C. Elegans Healthspan Model for Better Understanding Factors Causing Health and Disease, to Develop Evidence Based Prevention, Diagnostic, Therapeutic and Other StrategiesP49.8%
- Climate-smart rewilding: ecological restoration for climate change mitigation, adaptation and biodiversity support in Europe
Publikationen25
Top 25 nach Zitationen — Quelle: OpenAlex (BAAI/bge-m3 embedded für Matching).
Nature Communications · 773 Zitationen · DOI
Land-use transitions can enhance the livelihoods of smallholder farmers but potential economic-ecological trade-offs remain poorly understood. Here, we present an interdisciplinary study of the environmental, social and economic consequences of land-use transitions in a tropical smallholder landscape on Sumatra, Indonesia. We find widespread biodiversity-profit trade-offs resulting from land-use transitions from forest and agroforestry systems to rubber and oil palm monocultures, for 26,894 aboveground and belowground species and whole-ecosystem multidiversity. Despite variation between ecosystem functions, profit gains come at the expense of ecosystem multifunctionality, indicating far-reaching ecosystem deterioration. We identify landscape compositions that can mitigate trade-offs under optimal land-use allocation but also show that intensive monocultures always lead to higher profits. These findings suggest that, to reduce losses in biodiversity and ecosystem functioning, changes in economic incentive structures through well-designed policies are urgently needed.
Ecological Economics · 359 Zitationen · DOI
Nature Communications · 293 Zitationen · DOI
Smallholder-dominated agricultural mosaic landscapes are highlighted as model production systems that deliver both economic and ecological goods in tropical agricultural landscapes, but trade-offs underlying current land-use dynamics are poorly known. Here, using the most comprehensive quantification of land-use change and associated bundles of ecosystem functions, services and economic benefits to date, we show that Indonesian smallholders predominantly choose farm portfolios with high economic productivity but low ecological value. The more profitable oil palm and rubber monocultures replace forests and agroforests critical for maintaining above- and below-ground ecological functions and the diversity of most taxa. Between the monocultures, the higher economic performance of oil palm over rubber comes with the reliance on fertilizer inputs and with increased nutrient leaching losses. Strategies to achieve an ecological-economic balance and a sustainable management of tropical smallholder landscapes must be prioritized to avoid further environmental degradation.
Nature Ecology & Evolution · 188 Zitationen · DOI
Precision Agriculture · 163 Zitationen · DOI
Scientific Reports · 121 Zitationen · DOI
Weather risks are an essential and increasingly important driver of agricultural income volatility. Agricultural insurances contribute to support farmers to cope with these risks. Among these insurances, weather index insurances (WII) are an innovative tool to cope with climatic risks in agriculture. Using WII, farmers receive an indemnification not based on actual yield reductions but are compensated based on a measured weather index, such as rainfall at a nearby weather station. The discrepancy between experienced losses and actual indemnification, basis risk, is a key challenge. In particular, specifications of WII used so far do not capture critical plant growth phases adequately. Here, we contribute to reduce basis risk by proposing novel procedures how occurrence dates and shifts of growth phases over time and space can be considered and test for their risk reducing potential. Our empirical example addresses drought risks in the critical growth phase around the anthesis stage in winter wheat production in Germany. We find spatially explicit, public and open databases of phenology reports to contribute to reduce basis risk and thus improve the attractiveness of WII. In contrast, we find growth stage modelling based on growing degree days (thermal time) not to result in significant improvements.
Journal of Rural Studies · 108 Zitationen · DOI
Precision Agriculture · 97 Zitationen · DOI
Applied Economics · 89 Zitationen · DOI
It is a matter of common knowledge that weather represents the major source of uncertainty in crop production. It is to be expected that weather fluctuations will increase in the future due to climate change. Traditionally, farmers tried to protect themselves against weather-related yield variations by buying insurances. More recently, there has been a discussion regarding the use of weather derivatives to safeguard against volumetric risks. Although weather derivatives display advantages over traditional insurances, there is only a relatively small market for these products in agriculture. This is partly attributed to the fact that it is unclear whether and to what extent weather derivatives are a useful instrument of risk management in agriculture. This study applies real yield and weather data from Northeast Germany in order to quantify the risk-reducing effect that can be achieved in wheat production by using precipitation options. To do so stochastic simulation is used. The hedging effectiveness is controlled by the contract design (index, strike level, tick size). However, the local basis risk and the geographical basis risk remain with the farmer. We separate both causes of basis risk and reveal the extent of each. This enables conclusions regarding the design of weather derivatives; thus the question dealt with here is relevant both for farmers and for potential sellers of weather derivatives.
Precision Agriculture · 88 Zitationen · DOI
Abstract Drones are one of the latest tools to have been added to farmers’ precision agriculture technology tool kit. Despite the proclaimed benefits, adoption rates of drones are low and literature regarding the adoption of drones in agriculture is scarce. Therefore, this study investigates whether an extended Technology Acceptance Model (TAM) can contribute to the understanding of latent factors influencing farmers’ intention to adopt a drone. The sample of 167 German farmers was collected in 2019 via an online survey. Using partial least squares structural equation modelling and a binary model, the TAM explains 69% of the variance in the intention to use a drone by German farmers. According to the results, raising farmers’ awareness of farm-specific areas of drone application and the confidence level of using a drone can increase farmers’ intention to adopt a drone. The results are of interest for agribusinesses developing drones as well as selling or providing drones. Furthermore, the results are of interest for researchers in precision agriculture technologies.
Australian Journal of Agricultural and Resource Economics · 85 Zitationen · DOI
Many studies quantifying individual risk preferences of test persons show that results of different measuring methods may vary. Additional reservations about the reliability of the results regarding the risk attitude measurement arise from the fact that most studies are based on convenience groups, such as students or businessmen in developing countries. With this in mind, we systematically compare different measuring methods to answer the question how the choice of method affects the results. Moreover, we compare the risk preferences of G erman farmers with those of students and K azakhstani farmers to investigate whether farmers’ risk preferences can be approximated through those of convenience groups. The methods applied comprise an incentive‐compatible H olt‐and‐ L aury‐lottery as well as two psychometric methods. Results show that students respond consistently across all three elicitation methods whereas G erman and K azakhstani farmers are more inconsistent. Significant differences exist in the responses of G erman students and G erman farmers. The comparison of risk preferences between G erman and K azakhstani farmers, however, reveals significant similarities with respect to the psychometric methods.
Agricultural Finance Review · 85 Zitationen · DOI
This study examines rainfall variability and its implications for wheat production risk in northeast Germany. The hedging effectiveness of rainfall options and the role of geographical basis risk are analyzed using a daily precipitation model. Simpler pricing methods such as the burn analysis and the index value simulation serve as benchmarks for comparison. It is found that the choice of statistical approach may lead to considerable differences in the estimation results. Daily precipitation models should be used with some caution in the context of derivative pricing because they tend to underestimate rainfall variability. This is unexpected, because daily simulation models are usually preferred in the context of temperature‐based weather indexes.
Journal of Dairy Science · 76 Zitationen · DOI
The number of decision support tools available to farmers, including dairy herd management smartphone apps, has been steadily increasing. The existing literature does not cover topics concerning the adoption and use of herd management smartphone apps or which specific functions of such apps are perceived as most useful by dairy farmers. It is unclear whether technology adoption can only be explained by economic reasoning, because the beliefs about a technology also play a role in decision-making. Therefore, this study seeks to determine whether an extended technology acceptance model can explain adoption and use of herd management smartphone apps. Results about the adoption and use of dairy herd management smartphone apps are derived from an online survey conducted in 2018 with 280 German dairy farmers. To model farmers' frequency of use of herd management smartphone apps, we applied partial least squares structural equation modeling and an ordered logit model. Our results show that 93% of the dairy farmers in our sample use a smartphone and 61% already use a herd management smartphone app. Daily use is reported by 38% of the adopters. Dairy farmers rated functions related to the observation of animal health, reproduction management, and data gathering as most useful, which should be in focus by developers and providers for future development. The key attitudinal components of the technology acceptance model, namely perceived ease of use and perceived usefulness, both positively influence the intention to use such apps. This ultimately has a positive effect on the actual usage behavior. Besides other factors, dairy farmers' education and knowledge of herd management smartphone apps have a positive effect on perceived ease of use. Our model explains 33% of the variance in the actual usage behavior related to herd management smartphone apps. Because perceived ease of use and perceived usefulness positively influence the intention to use such apps and ultimately the actual usage behavior, developers and providers should highlight the benefits of using herd management smartphone apps and also keep the interface of the apps as simple as possible.
Adoption of organic farming in Germany and Austria: an integrative dynamic investment perspective
2008Agricultural Economics · 74 Zitationen · DOI
Abstract Farm‐level adaptation to changing economic environments is often slower than expected. Technological innovations, for instance, are frequently adopted at a later date than the net present value of investment suggests. This can be explained by a model of “investment under uncertainty,” which consistently accounts for uncertainty, sunk costs, and the flexibility of investment timing. Its essential conclusion is that, due to temporal opportunity costs, critical incremental cash flows that trigger investments might be higher than those needed for simple cost recovery. This accounts for an ostensible reluctance to invest (economic hysteresis). In this article, we demonstrate how slow conversion to organic farming in general, and the different rates of conversion in Germany and Austria in particular, can be explained by the new investment theory.
Biomass and Bioenergy · 70 Zitationen · DOI
Understanding German farmer’s intention to adopt mixed cropping using the theory of planned behavior
2020Agronomy for Sustainable Development · 69 Zitationen · DOI
Abstract The diversification of cropping systems has the potential to contribute towards a sustainable land use while preserving biodiversity. Mixed cropping is one possibility to increase biodiversity within farming systems. However, adoption of mixed cropping systems is challenging for farmers, as the agricultural sector has evolved around pure stands over the past decades and path dependencies have emerged. Yet, little is known about farmers’ motivation to adopt mixed cropping. Utilizing the theory of planned behavior as the main framework, this paper studies the psychological factors underlying farmers’ intention to adopt mixed cropping based on an online survey with 172 German farmers. In addition, the most crucial adoption obstacles are assessed. Using partial least squares structural equation modeling, we show for the first time that attitude, perceived behavioral control, and injunctive as well as descriptive group norms explain over 52% of farmers’ intention to adopt mixed cropping. Our results also demonstrate that perceived ecological benefits positively influence a farmer’s attitude towards mixed cropping. Missing sales opportunities for mixed yields, the uneven maturing of crops, and deficient economic benefits are ranked as the most crucial obstacles for the implementation of mixed cropping. These results, which can be relevant for other European countries as well, indicate that the introduction of a voluntary agri-environmental scheme could encourage adoption and that considering positive effects of group norms within policy schemes could further increase adoption on a large scale.
Agricultural Finance Review · 69 Zitationen · DOI
Purpose Using a unique dataset of a commercial microfinance institution (MFI) in Tanzania, the purpose of this paper is to investigate first whether agricultural firms have a different probability to get a loan and whether their loans are differently volume rationed than loans to non‐agricultural firms. Second, the paper analyzes whether agricultural firms repay their loans with different delinquencies than non‐agricultural firms. Design/methodology/approach The authors estimate a Probit‐Model for the probability of receiving a loan, a Heckman‐Model to investigate the magnitude of volume rationing for all loan applications and an OLS‐Model to examine the loan delinquencies of all microloans disbursed by the MFI. Findings The results reveal that agricultural firms face higher obstacles to get credit but as soon as they have access to credit, their loans are not differently volume rationed than those of non‐agricultural firms. Furthermore, agricultural firms are less often delinquent when paying back their loans than non‐agricultural firms. Research limitations/implications Even if the authors can show that access to credit and loan repayment is different for agricultural firms, the current regional focus of the MFI only allows for lending to agricultural firms in the greater Dar es Salaam area. Thus, these results might change in a rural setting. Besides general differences of the rural economic environment, the production type of agricultural firms might also differ in rural areas. Also, these results might change in different country contexts. Practical implications The findings suggest that a higher risk exposition typically attributed to agricultural production must not necessarily lead to higher credit risk. They also show that the investigated MFI overestimates the credit risk of agricultural clients and, hence, should reconsider its risk assessment practice to be able to increase lending to the agricultural sector. In addition, the results might indicate that farmers qualify less often for a loan as they do not fit into the standard microcredit product. Originality/value To the authors' knowledge, this is the first paper which simultaneously investigates access to credit and the repayment behavior of agricultural firms.
Agricultural Economics · 67 Zitationen · DOI
Abstract In this paper, option‐pricing theory is applied to an investment problem in hog production. A stochastic simulation model capable of pricing American‐type options is developed. This is achieved by recursive calculation of the exercise frontier. The model is used to determine the investment trigger and the disinvestment trigger for a pig‐fattening barn under German market conditions. It turns out that the investment trigger, taking into account the value of waiting in an uncertain environment, can be considerably higher compared to classical investment criteria such as the net present value. This offers an explanation as to why farmers are indeed reluctant to invest in hog production. Another finding is the sensitivity of the option prices with respect to the stochastic process that is assumed for revenues and variable costs of the production activity.
European Review of Agricultural Economics · 64 Zitationen · DOI
Low investment rates are a puzzling phenomenon particularly in transition economies with an urgent need for modernisation. The literature offers two alternative explanations: imperfect capital markets and investment reluctance due to real options effects. In this paper, we develop a generalised model that combines both aspects. The econometric implementation has the structure of a generalised Tobit model. Applying this model to German farm-level panel data, we show that ignoring real option effects may lead to erroneous conclusions in the context of empirical investment equations. Oxford University Press and Foundation for the European Review of Agricultural Economics 2010; all rights reserved. For permissions, please email journals.permissions@oxfordjournals.org, Oxford University Press.
Ecological Economics · 62 Zitationen · DOI
Social Indicators Research · 59 Zitationen · DOI
Ecological Economics · 59 Zitationen · DOI
Computers and Electronics in Agriculture · 58 Zitationen · DOI
Agricultural Systems · 57 Zitationen · DOI
Journal of Agricultural Economics · 53 Zitationen · DOI
Abstract An understanding of farmers’ decision‐making behaviour is important for adequate forecasts as well as policy recommendations regarding structural changes. We experimentally analyse the investment behaviour of real farmers. The observed investment decisions are contrasted with theoretical benchmarks from classical investment theory and the real options approach. Our results show that both theories cannot exactly explain investment behaviour. However, farmers learn from former investment decisions and do consider the value of waiting over time.
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Stammdaten
Identität, Organisation und Kontakt aus HU-FIS.
- Name
- Prof. Dr. Oliver Mußhoff
- Titel
- Prof. Dr.
- Fakultät
- Lebenswissenschaftliche Fakultät
- Institut
- Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften
- Arbeitsgruppe
- Landwirtschaftliche Betriebslehre
- Telefon
- +49 30 2093-46844
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- 26.4.2026, 01:09:47