TY - JOUR A1 - Schulte, Emily A1 - Scheller, Fabian A1 - Sloot, Daniel A1 - Bruckner, Thomas T1 - A meta-analysis of residential PV adoption: the important role of perceived benefits, intentions and antecedents in solar energy acceptance JF - Energy Research & Social Science N2 - The adoption of residential photovoltaic systems (PV) is seen as an important part of the sustainable energy transition. To facilitate this process, it is crucial to identify the determinants of solar adoption. This paper follows a meta-analytical structural equation modeling approach, presenting a meta-analysis of studies on residential PV adoption intention, and assessing four behavioral models based on the theory of planned behavior to advance theory development. Of 653 initially identified studies, 110 remained for full-text screening. Only eight studies were sufficiently homogeneous, provided bivariate correlations, and could thus be integrated into the meta-analysis. The pooled correlations across primary studies revealed medium to large correlations between environmental concern, novelty seeking, perceived benefits, subjective norm and intention to adopt a residential PV system, whereas socio-demographic variables were uncorrelated with intention. Meta-analytical structural equation modeling revealed a model (N = 1,714) in which adoption intention was predicted by benefits and perceived behavioral control (R2 = .280), and benefits in turn could be explained by environmental concern, novelty seeking, and subjective norm (R2 = .641). Our results imply that measures should primarily focus on enhancing the perception of benefits. Based on obstacles we encountered within the analysis, we suggest guidelines to facilitate the future aggregation of scientific evidence, such as the systematic inclusion of key variables and reporting of bivariate correlations. Y1 - 2022 U6 - https://doi.org/10.1016/j.erss.2021.102339 SN - 2214-6326 VL - 84 SP - 102339 EP - 102339 ER - TY - JOUR A1 - Schulte, Emily A1 - Scheller, Fabian A1 - Bruckner, Thomas T1 - Enhancing Understanding of Geographical Adoption Patterns of Residential Rooftop Photovoltaic Using a Consumer Segmentation Model—A Case Study in Saxony, Germany JF - Zeitschrift für Energiewirtschaft N2 - This paper addresses two issues in spatial research on residential PV adoption: First, spatial analyses typically do not differentiate between households who have decision power over their rooftop, and households who do not, possibly causing indistinct results. Second, household characteristics like environmental attitudes and innovativeness are not accounted for sufficiently, despite their proven relevance for adoption decisions. We performed a statistical analysis with an innovative spatial data set of Saxony (Germany) in which households of (semi-) detached houses were analyzed separated from the remainder, and household characteristics were included through the Sinus-milieu model. PV saturation in subgroups of the sample was compared using the Mann-Whitney U test. Results show that PV saturation is high in affluent zip-codes with high shares of (semi-) detached houses, and is higher in rural than in urban areas. The presence of environmentally concerned households (Post-Materialists) is positively, and the presence of innovative households (Leaders) is negatively associated with PV saturation. Our results show that household characteristics beyond socio-economic measures are relevant to understand differences in PV saturation in the Saxonian zip-codes. The merits of distinguishing between decisive households and the remainder are less clear. N2 - Dieser Artikel befasst sich mit zwei Problemen in der wissenschaftlichen Analyse der räumlichen Verteilung von privaten Aufdach-Photovoltaikanlagen: Erstens wird bei räumlichen Analysen in der Regel nicht zwischen Haushalten, die Entscheidungsgewalt über ihr Dach haben, und Haushalten, die dies nicht haben, unterschieden, was zu unklaren Ergebnissen führen kann. Zweitens werden Haushaltsmerkmale wie Umwelteinstellungen und Innovativität nicht ausreichend berücksichtigt, obwohl sie nachweislich für die Entscheidung über Photovoltaikanlagen relevant sind. Dazu haben wir eine statistische Analyse mit einem innovativen räumlichen Datensatz aus Sachsen (Deutschland) durchgeführt, in der die Haushalte in Ein- und Zweifamilienhäusern getrennt von den übrigen Haushalten analysiert wurden und Haushaltsmerkmale durch das Sinus-Milieu Modell einbezogen wurden. Die PV-Sättigung in Untergruppen der Stichprobe wurde mit dem Mann-Whitney-U-Test verglichen. Die Ergebnisse zeigen, dass die PV-Sättigung in wohlhabenden Postleitzahlen mit einem hohen Anteil an Ein- und Zweifamilienhäusern hoch ist, und in ländlichen Gebieten höher ist als in städtischen Gebieten. Der Anteil umweltbewusster Haushalte (Post-Materialisten) ist positiv und der Anteil innovativer Haushalte (Leaders) negativ mit der PV-Sättigung verbunden. Unsere Ergebnisse zeigen, dass Haushaltsmerkmale, die über sozioökonomische Merkmale hinausgehen, für das Verständnis der räumlichen Verteilung von Aufdach-Photovoltaikanlagen in den sächsischen Postleitzahlen relevant sind. Die Vorteile einer Differenzierung zwischen entscheidenden und den übrigen Haushalten sind weniger klar. Y1 - 2022 U6 - https://doi.org/10.1007/s12398-022-00329-0 SN - 0343-5377 VL - 46 IS - 3 SP - 207 EP - 222 ER - TY - JOUR A1 - Schulte, Emily A1 - Scheller, Fabian A1 - Pasut, Wilmer A1 - Bruckner, Thomas T1 - Product traits, decision-makers, and household low-carbon technology adoptions: moving beyond single empirical studies JF - Energy Research & Social Science N2 - Although single empirical studies provide important insights into who adopts a specific LCT for what reason, fundamental questions concerning the relations between decision subject (= who decides), decision object (= what is decided upon) and context (= when and where it is decided) remain unanswered. In this paper, this research gap is addressed by deriving a decision framework for residential decision-making, suggesting that traits of decision subject and object are determinants of financial, environmental, symbolic, normative, effort and technical considerations preceding adoption. Thereafter, the decision framework is initially verified by employing literature on the adoption of photovoltaic systems, energy efficient appliances and green tariffs. Of the six proposed relations, two could be confirmed (financial and environmental), one could be rejected (effort), and three could neither be confirmed nor rejected due to lacking evidence. Future research on LCT adoption could use the decision framework as guidepost to establish a more coordinated and integrated approach, ultimately allowing to address fundamental questions. Y1 - 2022 U6 - https://doi.org/10.1016/j.erss.2021.102313 SN - 2214-6326 VL - 83 SP - 102313 EP - 102313 ER - TY - CHAP A1 - Scheller, Fabian A1 - Schulte, Emily A1 - Johanning, Simon A1 - Geyler, Stefan A1 - Moritz, Marie A1 - Bruckner, Thomas ED - Johanning, Simon ED - Scheller, Fabian ED - Kühne, Stefan ED - Bruckner, Thomas T1 - Beschreibung der realen Fallstudien als Forschungsobjekt für die modellbezogenen Analysen T2 - Agentenbasierte Modellierung urbaner Transformationsprozesse. Smart Utilities And Sustainable Infrastructure Change T3 - Studien zu Infrastruktur und Ressourcenmanagement - Band 12 Y1 - 2022 SN - 9783832554132 U6 - https://doi.org/10.30819/5413.02 SP - 21 EP - 38 ER - TY - CHAP A1 - Johanning, Simon A1 - Abitz, Daniel A1 - Schulte, Emily A1 - Scheller, Fabian A1 - Bruckner, Thomas T1 - PVactVal: A Validation Approach for Agent-based Modeling of Residential Photovoltaic Adoption T2 - 18th International Conference on the European Energy Market (EEM) N2 - Agent-based simulation models are an important tool to study the effectiveness of policy interventions on the uptake of residential photovoltaic systems by households, a cornerstone of sustainable energy system transition. In order for these models to be trustworthy, they require rigorous validation.However, the canonical approach of validating emulation models through calibration with parameters that minimize the difference of model results and reference data fails when the model is subject to many stochastic influences. The residential photovoltaic diffusion model PVact features numerous stochastic influences that prevent straightforward optimization-driven calibration.From the analysis of the results of a case-study on the cities Dresden and Leipzig (Germany) based on three error metrics (mean average error, root mean square error and cumulative average error), this research identifies a parameter range where stochastic fluctuations exceed differences between results of different parameterization and a minimization-based calibration approach fails.Based on this observation, an approach is developed that aggregates model behavior across multiple simulation runs and parameter combinations to compare results between scenarios representing different future developments or policy interventions of interest. Y1 - 2022 SN - 978-1-6654-0896-7 U6 - https://doi.org/10.1109/eem54602.2022.9921039 SP - 1 EP - 6 ER - TY - CHAP A1 - Johanning, Simon A1 - Schulte, Emily A1 - Abitz, Daniel A1 - Scheller, Fabian A1 - Bruckner, Thomas ED - Johanning, Simon ED - Scheller, Fabian ED - Kühne, Stefan ED - Bruckner, Thomas T1 - PVactVal: Ein Ansatz für die operationale Validierung von Aufdach-PV Diffusionsmodellen T2 - Agentenbasierte Modellierung urbaner Transformationsprozesse T3 - Studien zu Infrastruktur und Ressourcenmanagement - Band 12 Y1 - 2022 SN - 9783832554132 U6 - https://doi.org/10.30819/5413.11 SP - 139 EP - 152 ER - TY - JOUR A1 - Heß, Verena A1 - Meng, Karin A1 - Schulte, Thomas A1 - Neuderth, Silke A1 - Bengel, Jürgen A1 - Faller, Hermann A1 - Schuler, Michael T1 - Decreased mental health, quality of life, and utilization of professional help in cancer patients with unexpressed needs: A longitudinal analysis JF - Psycho-Oncology N2 - Background: Cancer patients' mental health and quality of life can be improved through professional support according to their needs. In previous analyses of the UNSAID study, we showed that a relevant proportion of cancer patients did not express their needs during the admission interview of inpatient rehabilitation. We now examine trajectories of mental health, quality of life, and utilization of professional help in cancer patients with unexpressed needs. Methods: We enrolled 449 patients with breast, prostate, and colon cancer at beginning (T0) and end (T1) of a 3‐week inpatient rehabilitation and 3 (T2) and 9 (T3) months after discharge. We explored depression (PHQ‐2), anxiety (GAD‐2), emotional functioning (EORTC QLQ‐C30), fear of progression (FoP‐Q‐SF), and global quality of life (EORTC QLQ‐C30) using structuring equation models. Furthermore, we evaluated self‐reports about expressing needs and utilization of professional help at follow‐up. Results: Patients with unexpressed needs (24.3%, n = 107) showed decreased mental health compared to other patients (e.g., depression: d T0 = 0.32, d T1‐T3 = 0.39). They showed a significant decline in global quality of life at discharge and follow‐up (d = 0.28). Furthermore, they had a higher need for support (Cramer's V T2 = 0.10, T3 = 0.15), talked less about their needs (Cramer's V T2 = 0.18), and made less use of different health care services at follow‐up. Conclusion: Unexpressed needs in cancer patients may be a risk factor for decreased mental health, quality of life, and non‐utilization of professional help in the long term. Further research should clarify causal relationships and focus on this specific group of patients to improve cancer care. Y1 - 2022 U6 - https://doi.org/10.1002/pon.5856 VL - 31 IS - 5 SP - 725 EP - 734 PB - Wiley Online Library Open Access ER -