Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractThe German housing stock needs substantial energetic retrofit to meet carbon reduction targets. Various instruments are available to motivate building owners to improve the energy efficiency of their dwellings. These instruments mainly focus on the economic issue of funding and financing energy efficient refurbishments as the decision is interpreted as a rational choice of an investment. Their success is rather low as the refurbishment rate stagnates around 1% per year for more than a decade. The objective of this study is to gain deeper insights into the decision-making of owner-occupiers regarding energy efficient refurbishments and to offer an adjusted framework to analyse the decision. A qualitative-explorative research approach is chosen, whereby in-depth interviews with independent energy advisers have been conducted.Results point out that the decision of owner-occupiers towards energy efficient refurbishment measures qualifies as an extensive consumer decision rather than a pure investment decision.The refurbishment measure implies high cognitive as well as emotional involvement. Owneroccupiers use several criteria to evaluate refurbishments, which alleviate monetary determinants. The standard process model of consumer decision-making, reaching from need recognition to post-purchase evaluation, qualifies for structuring the decision. It allows analysing drivers and barriers stepwise and deriving implications for activating homeowners and for promoting energy efficiency in each step. Current policies partly choose unrewarding argumentations to stimulate energy efficient refurbishments since they do not take all relevant factors of this consumer decision into account.
The share of solar energy in German electricity generation has increased strongly over recent years. This is largely due to guaranteed feed-in tariffs together with decreasing prices for solar panels. Residential PV systems play a decisive part providing households with a possibility to contribute to the Energiewende and benefit from the use of renewable energy. Their regional distribution varies distinctly across Germany implying different requirements in distribution grids as well as uneven utilization of national policy measures. Our paper focusses on the spatial diffusion of roof mounted PV systems and the underlying drivers in Germany. We extend previous findings not only by including additional explanatory variables but also by considering cross-regional spillover using spatial econometric models. Estimation results show that spatial dependence is a relevant determinant for explaining regional clusters of PV adoption. Recurrent visual perception or peer-effects might explain spatial autocorrelation as potential adopters follow decisions by actors in the proximity. Another reason for spatial dependence might be a concentration of craft skills or solar initiatives, which leads to an accelerated diffusion in a region and its surroundings. Whereas the first explanation corresponds to the specification of a spatial lag model, the latter is in line with a spatial error specification. However, our results indicate that although spatial lag is present, spatial dependence in the residuals has higher explanatory power. Hence, we suppose that spatial spillover is not mainly driven by social imitation but by unobserved regional characteristics. Notably, high values for solar radiation, the share of detached houses, electricity demand and inverse population density of a region favour the PV uptake.
The COVID-19 pandemic has exposed the vulnerability of global manufacturing companies to their supply chains and operating activities as one of the significant disruption events of the past two decades. It has demonstrated that major companies underestimate the need for sustainable and resilient operations. The pandemic has resulted in significant disruptions especially in the automotive industry. The goal of the study is to determine impact of the COVID-19 on supply chain operations in a Turkish automotive manufacturer and to develop a framework for improving operational activities to survive in the VUCA (volatility, uncertainty, complexity, and ambiguity) environment. The study identifies how the case study company has been affected by the COVID-19 outbreak and what challenges the company faced during the pandemic. A diagnostic survey and semi-structured interviews were used as data sources with qualitative and quantitative analysis. The results showed that the pandemic led to significant disruptions through various factors explained by shortage of raw materials/spare parts, availability of transportation, availability of labors, demand fluctuations, increase in sick leaves, new health and safety regulations. Findings also show the necessity to re-design resilience supply chain management by providing recovery plans (forecasting, supplier selection, simulation, monitoring) which consider different measures in different stages. In addition, the best practices were recommended for the case study by considering internal, external, and technological challenges during the COVID-19 pandemic. Some of the given targeted guidelines and improvement for the automotive company might be applicable in the industrial practices for other organizations. The article concludes with future research directions and managerial implications for successful applications.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. AbstractSolar thermal roof-top installations offer the potential to meet an important share of residential water and space heating demand in Germany. These systems are subsidised with grants under the so-called market incentive program. The political goal is to encourage the adoption of renewable energy and to reduce CO2-emissions in the heating market in view of a lowcarbon building stock. Solar thermal adoption levels are currently rather low after a high period in 2008 and 2009. Also, solar thermal adoption rates distinctly vary between regions. This paper tries to disentangle influences governing regional and temporal differences in residential solar thermal uptake. Spatial panel regression models are estimated to capture spatial interactions, while controlling for potential adoption determinants, including economic considerations, household characteristics and climatic suitability. The panel data contain observations for over 1 million solar thermal installations across 402 German regions covering the period from 2001 to 2015. Results indicate that differences in profitability influence the spatial and temporal patterns of solar thermal uptake. Regional diffusion is mainly driven by solar radiation. The development of fossil fuel prices is accountable for different adoption rates over time. New constructions do not seem to foster solar thermal use, indicating that solar heating is easily applied to existing houses. Larger households are more inclined to use solar heating, given that they use more efficiently solar generated heat. Results also show that spatial dependence drives the diffusion of solar thermal systems. These findings imply that there is potential for new policies and business models to increase the geographic and social diversification of solar thermal adoption.
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