Bioenergy is a kind of renewable energy that can potentially contribute to a broad spectrum of economic, environmental, and societal objectives and aid sustainable development. The assessment, management, and monitoring of the diverse bioenergy production technology alternatives are complex in nature and deliver different benefits due to the lack of precise and comprehensive data. Selection of an optimal bioenergy production technology (BPT) alternative is considered a complex multi-criteria decision-making (MCDM) problem that involves many incompatible tangible and intangible as well as qualitative and quantitative criteria. The procedure of defining and evaluating the weights of the criteria is an important concern for decision experts because the assessment and the final selection of the BPT alternative are carried out on the basis of the defined set of criteria. Intuitionistic fuzzy sets (IFSs) have received considerable attention due to their ability to handle the imprecision and vagueness that can arise in real-life situations. Thus, this study presents an integrated approach, based on stepwise weight assessment ratio analysis (SWARA) and complex proportional assessment (COPRAS) approaches, for the selection of BPT alternatives. In the integrated framework, criteria weights are determined by the SWARA procedure, and the ranking of BPT alternatives is decided by the COPRAS method using IFSs. The criteria weights evaluated by this approach involve the imprecision of experts’ opinions, which makes them more comprehensible. To express the efficiency and applicability of the integrated framework, a BPT selection problem is presented using IFSs. In addition, this study involved sensitivity analysis with respect to various sets of criteria weights to reveal the strength of the developed approach. The sensitivity analysis outcomes indicate that the agricultural and municipal waste of biogas (S₃) consistently secures the highest rank, despite how the criteria weights vary. Finally, a comparative study is discussed to analyze the validity of the obtained result. The findings of this study confirm that the proposed framework is more useful than and consistent with previously developed methods using the IFSs environment.

This paper focuses on the concept of Corporate Social Responsibility (CSR) and its relationship with sustainability. The authors investigate the linkages between CSR and sustainability at both enterprise and country levels. The main focus of this study is the energy sector due to its importance in terms of economic, environmental, and social impacts. There are some doubts as to whether a socially responsible business meets public welfare expectations and fosters the country’s social and economic development, as well as the successful achievement of sustainable development objectives. However, it becomes apparent that the development of corporate social responsibility in the energy sector faces a plethora of challenges. Corruption is one of the most important challenges of sustainable energy development. The study analyzes the main areas of CSR policies where energy companies are expected to make a positive contribution to sustainable energy development: mitigation of environmental impact, economic and social development, and good governance. The authors argue that the corruption risks represent a very important issue that is hampering sustainable energy development, and CSR can be applied to mitigate these risks in the energy sector. In addition, government policies might be necessary to create a favorable environment for corruption risk mitigation. The study analyzes the main tools of corporate social responsibility in the energy sector and addresses the impact of CSR on the sustainability of energy sector and corruption risk mitigation. The study analyzes a corruption risk mitigation model in the energy sector and provides recommendations for strengthening corporate social responsibility and mitigating corruption risk. Our results show that CSR can play a vital role in dealing with corruption in the energy sector at the enterprise level. It becomes apparent that anti-corruption standards represent the main supporting means for achieving other CSR goals and principles. Therefore, mitigation of corruption risks should become a priority for socially responsible companies that are operating in the energy sector.

The paper deals with the exposition of the main barriers and drivers of renewable energy usage in rural communities. Climate change mitigation is causing governments, policymakers, and international organizations worldwide to embark on policies, leading to increased use of renewable energy sources and improvement of energy efficiency. Climate change mitigation actions, including the Green Deal strategy in the EU, require satisfying the expanding energy demand and complying with the environmental restrictions. At the same time, the prevailing market structure and infrastructure relevant to the energy systems are undergoing a crucial transformation. Specifically, there has been a shift from centralized to more decentralized and interactive energy systems that are accompanied by a low-carbon energy transition. Smart Grid technology and other innovations in the area of renewable energy microgeneration technologies have enabled changes in terms of the roles of energy users: they can act as prosumers that are producing and consuming energy at the same time. Renewable energy generation that is allowing for deeper involvement of the citizens may render higher social acceptance, which, in turn, fuels the low-carbon energy transition. The collective energy prosumption in the form of energy cooperatives has become a widespread form of renewable energy initiatives in rural communities. Even though renewable energy consumption provides a lot of benefits and opportunities for rural communities, the fast penetration of renewables and energy prosumption encounter several important barriers in the rural areas. This paper analyses the main barriers and drivers of renewable energy initiatives in rural areas and provides policy implications for the low-carbon energy transition in rural areas.