• Energy Research
• 12. Responsible consumption close
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The bigger picture Renewable energy technologies are necessary to maintain secure energy supplies and limit the impacts of climate change. Developments of these technologies are mostly planned purely based on economic criteria, but this can lead to resistance in local communities. Among the diverse renewable technologies, especially onshore wind turbines may negatively affect the scenicness of beautiful landscapes. We analyze how cost-efficient local energy systems could be impacted through public opposition toward onshore wind. In doing so, we draw on a database of public evaluation of landscape beauty across Germany. In the energy systems of German municipalities with high scenicness, onshore wind would mainly be replaced by solar photovoltaics. Depending on the location, the local energy systems may be associated with a significant increase in costs and CO$_{2}$ emissions. These insights can support local and national stakeholders in making decisions relating to energy and climate policy. Summary Local resistance often hinders renewable energy technology developments, especially for onshore wind. In decentralized energy systems, the landscape impact of wind turbines or transmission lines is a key barrier to public acceptance. By using landscape scenicness as a proxy for public acceptance, we quantify its impact on the optimal energy systems of 11,131 German municipalities. In municipalities with high scenicness, it is likely that onshore wind will be rejected, leading to higher levelized costs of energy by up to about 7 €-cent/kWh. Onshore wind would be replaced mainly by solar photovoltaics and imports, and the cost-optimal energy systems would be associated with higher CO$_{2}$ emissions of up to about 200 gCO$_{2}$/kWh compared with an average of around 50 gCO$_{2}$/kWh. The findings help to identify municipalities where public resistance to onshore wind could be particularly high and support the scientific and policy debate about the location of onshore wind farms.

Despite the high CO2 emission intensity of fossil and especially coal fired energy production, these energy carriers will play an important role during the coming decades. The case study identifies the main technological trajectories concerning more efficient fossil fuel combustion and explores the potentials for lead markets for these technologies in China, Germany, Japan and the USA taking into account the different regulation schemes in these countries. We concentrate on technologies that have already left the demonstration phase. This is the case for supercritical (SC) and ultra-supercritical (USC) pulverized coal technologies that are already established. The analysis shows that the typical pattern of a stable lead market only applies to a limited extent. In the 1960s and 1970s, the USA has established a lead market for SC und USC technologies. In the meanwhile, Japan has surpassed the United States, although it started as a typical lag market. Japan has caught up in terms of supply factors, China in terms of price, demand and regulation advantage. This supports the hypothesis that - apart from the demand-oriented lead market model - push factors such as R&D activity play a strong role as well. The advantage of Japan mainly stems from its intensive R&D activities. It can also be observed that some other advantages – such as price and demand advantage – are shifting to China. China is practicing a leapfrogging strategy, and has already become a leader in the market segment of low and middle quality boilers, whereas Japan and Germany still dominate the world turbine market. The conclusion is that lead markets may switch over time to markets with high growth rates, although first mover advantages exist for some market segments such as turbines. First movers have a strong technological expertise which is important in the catching up process of late followers, and they may even profit from the growth in lag countries by exporting and cooperation activities. Thus international technology cooperation is a beneficial process for all involved parties.

This paper analyzes the determinants of alternative automobile fuel regulation and development support with a particular focus on methanol fuel. We find that embedded interests, bureaucratic reforms, and political circumstances in the Chinese national, provincial, and municipal governments have all shaped policy outcomes in this area. The paper seeks to explain why at, the national level, support for alternative fuels has waned and finds that the concerns of state oil majors and disorganization during the process of national bureaucratic restructuring have been the deciding factors. Interestingly, at the sub-national level promotion of methanol continues unabated in some places. At the local level, business relationships as well as the embedded economic and personal interests of local leaders help to explain managerial local government behavior and sheds light on why government officials actively create and manage methanol fuel business opportunities through local standardization, subsidies, and hands-on management of SOE opposition. The switch towards methanol fuel was more successful in localities where individuals, either government officials or enterprise managers, formed an alliance and made this their ‘pet projects’. The analysis draws on 55 interviews conducted between June and October 2010 in Shanxi, a major coal-producing province which has supported methanol fuel-switching programs for over ten years. The findings contribute to debates about the condition of the local state in China. The argument put forward in this paper is that because of limited state capacity at the central level and insufficient concerns for the development of alternative fuels in the short-term, some sub-national governments with strong embedded interests promote certain alternative fuels by taking on active managerial roles, adopting creative and ad-hoc strategies to fill in the national level policy gap at the local level.

This paper presents an adapted agent-based model for the diffusion of new aircraft model series. Expanding on the classical economic decision framework, where investment decision-making is entirely based on profitability, our holistic modeling approach takes into account profitability, flexibility, as well as the environmental impact of new aircraft model series in the adoption decision process. Technical parameters such as the range and maximum take-off weight of an aircraft model series, various emissions of the aircraft engine, as well as daily operational data, are used to calibrate the model. In validation, our model produces results that are comparable to data on the market diffusion of an existing aircraft model series, the Boeing 737-500. This result shows the applicability of our model, which can also subsequently be used on aircraft with new generations of technologies. Our simulation shows that a price reduction or a decrease in emissions could lead to more adoption and faster diffusion. Furthermore, our modeling approach demonstrates that a holistic framework to include not only profitability but also flexibility and environmental impact can be helpful when modeling the investment decision-making process.

Increasing the realism with respect to the representation of actors, decision-making, and institutions is critical to better understand the transition towards a low-carbon sustainable society since actors, decision-making, and institutions are the defining elements of transition pathways. In this paper, we explore how this can be done by conducting a model-based scenario analysis. The increasing focus on implementation and transition dynamics towards long-term objectives requires a better comprehension of what drives change and how those changes can be accelerated. We explore opportunities that arise from a deeper engagement of quantitative systems modeling with socio-technical transitions studies, initiative-based learning, and applied economics. We argue that a number of opportunities for enriching the realism in model-based scenario analysis can arise through model refinements oriented towards a more detailed approach in terms of actor heterogeneity, as well as through integration across different analytical and disciplinary approaches.

Sustainability has become one of the challenges of today’s banks. Since sustainable business models are responsible for the environment and society along with generating economic benefits, they are an attractive approach to sustainability. Sustainable business models also offer banks competitive advantages such as increasing brand reputation and cost reduction. However, no framework is presented to evaluate the sustainability of banking business models. To bridge this theoretical gap, the current study using A Delphi-Analytic Hierarchy Process method, firstly, developed a sustainable business model to evaluate the sustainability of the business model of banks. In the second step, the sustainability performance of sixteen banks from eight European countries including Norway, The UK, Poland, Hungary, Germany, France, Spain, and Italy, assessed. The proposed business model components of this study were ranked in terms of their impact on achieving sustainability goals. Consequently, the proposed model components of this study, based on their impact on sustainability, are respectively value proposition, core competencies, financial aspects, business processes, target customers, resources, technology, customer interface, and partner network. The results of the comparison of the banks studied by each country disclosed that the sustainability of the Norwegian and German banks’ business models is higher than in other counties. The studied banks of Hungary and Spain came in second, the banks of The UK, Poland, and France ranked third, and finally, the Italian banks ranked fourth in the sustainability of their business models.