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The aim of this study is to employ panel data approach to investigate determinants of total GHG emissions in all European Union (EU) economies in years 1990-2018 and evaluate the role of nuclear energy in climate change mitigation. It incorporates the following variables potentially affecting the greenhouse gas (GHG) emissions: economic-gross domestic product (GDP) per capita and GDP per capita squared to control for non-linear relationship between economic output and GHG emissions; structural-economic structure reflected in the share of manufacturing in total gross value added (GVA); energy-mix-share of nuclear power and renewable sources in total gross electricity production; environmental policy-the amount of environmental taxes (as a percentage of GDP) and the number of European Union Emission Trading System (EU ETS) allowances auctioned or sold (as a percentage of GDP per capita). The main findings of this study confirm the long-run relationship between GHG emissions, GDP level, and energy-mix variables. It endorses that higher share of nuclear power together with renewables in gross electricity production has significant impact on GHG emissions in the long run. In turn, it also validates the existence of the environmental Kuznets curve for selected countries., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Energy companies are in the spotlight regarding the environmental pressure to address the current environmental issues by initiating the sets of social responsibilities. Energy sector companies are actively adopting Corporate Social Responsibility (CSR) practices to address the increased pressure and enablement to manage and prevent the risks of environmental impact at the same time concentrating on the economic growth. The current study provides a systematic literature review identifying CSR initiative measures towards sustainability and proposes a framework of CSR measurements in the energy sector. The framework combines the Search, Appraisal, Synthesis, and Analysis (SALSA) method together with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and PSALSAR (Protocol, Search, Appraisal, Synthesis, Analysis and Report). Moreover, for setting the research scope, PICOC (Population, Intervention, Comparison, Outcome, and Context) is applied. As a result, eleven CSR measures for the energy sector were identified. The measurements were classified into 4 pillars: environmental pillar, stakeholder communication and external image, financial pillar, and organizational pillar. The environmental impact and GHG reduction align with the ecological modernization theories. Green energy innovations find theoretical resonance in the diffusion of innovation theories. Stakeholder engagement and branding link to the stakeholder theory, while financial performance, to the shareholder value theories. Occupational health and safety theory support the employee safety and corporate culture considerations. These measures, selected through theoretical lenses and systematic review, contribute to shaping a sustainable energy landscape. Furthermore, the research results were discussed, and the future research agenda together with policy recommendations were provided., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Corporate social responsibility (CSR) has become crucial to businesses seeking to adopt sustainable development. However, there are several challenges to CSR adoption for sustainability that the present research aims to identify and evaluate, in addition to assessing the EU's response to these challenges. To this end, a novel picture fuzzy SWARA-TOPSIS method is proposed to rank EU countries after identifying the challenges that they face through a literature review. The results indicate that out of eight identified challenges, "Leadership Mindset and Corporate Commitment" is the most significant issue to CSR adoption for sustainability. Additionally, Italy shows the best performance in adopting CSR for sustainability, while Malta shows the worst. These results are discussed, and policy implications are presented. Integr Environ Assess Manag 2023;19:1254-1275. © 2023 SETAC., (© 2023 SETAC.)

Environmental pollution, increased energy consumption, and growing demand for the energy sector have been widely discussed. Due to policymakers and different organizations impacting a lot of new regulations, tools have been implemented to use clean energy that has zero impact on the environment. The International Energy Agency (IEA) supports energy efficiency and evaluation by developing tracking indicators and analyzing energy consumption data. The paper identifies critical indicators for efficient green energy production and ranks the IEA member countries using the CRITIC-TOPSIS method. Results showed that CO2 emissions and monitoring energy consumption are the most significant indicators while assessing the countries' performance regarding green energy production. The results indicated Sweden as the best-performing country regarding green energy production and reaching energy efficiency between 1990 and 2020. While Turkey and the USA ranked last, resulting in significantly increased CO2 emissions within the time range that need more efforts and policy implications to reach similar energy efficiency levels as other IEA countries., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The sustainability-related decision-making oftentimes involves uncertain information. One of the key solutions in representing the interval information is the use of the interval information (numbers). This paper proposes a multi-criteria decision-making approach that relies on the algebra of random variables in handling the interval information. The interval information is provided in the form of the uniform distributions that are represented by mean and variance parameters. Following the central limit theorem, the normal approximation is involved. Then, the pair-wise comparisons are facilitated to establish the probabilities of dominance and rank the alternatives accordingly. The proposed approach allows for effectively handling the uncertainty and is user-friendly. The empirical application dealing with selection of the sustainable insulation materials is presented to validate the proposed approach. The technological, economic, environmental, and social facets of sustainability are considered when comparing the insulation materials. Sensitivity of the results is then checked via the Monte Carlo simulation., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The undertaken research examines the impact of green attitude, green customer value (e.g., environmental image and perceived value), and green marketing mix (e.g., product, packaging, price, promotion, and place) on green purchasing intention. The research has integrated fundamental theoretical approaches of customers' purchasing such as attitude-behavior context (ABC) theory, signaling theory, and theory of planned behavior (TPB) in the modified conceptual framework. Additionally, this research has also incorporated the green psychological benefits (e.g., nature experience, self-expressive, and warm glow) as mediating construct. The modified conceptual framework also unified green marketing (e.g., environmental advertising and green word of mouth) as moderator to investigate further the connotation between attitude, green customer value, green marketing mix, and green purchase intention. The survey method is used to collect data with a sample size of 896 customers that are well-versed with eco-friendly green products and services from the different urban centers of the USA. The data is analyzed through a structural equation modeling (SEM)-based multivariate approach by using SPSS 26, AMOS 26, and conditional process modeling software. The findings have demonstrated a positive and significant impact of green customer value, green marketing mix, and attitude on the green purchase intention of US customers. The study has further concluded that the green psychological benefits (mediator) and green advertising (moderator) have a significant influence on a relationship between attitude, green customer value (environmental image and perceived value), green marketing mix, and green purchasing intention. The results of this research can be helpful for researchers and academicians to get insight into theoretical approaches to green purchasing, and it can also be helpful for marketers to devise green marketing strategies to gain optimal competitive advantage in the long run., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Urban and regional development is indispensable from energy systems that function in a sustainable and resilient manner. The generation of renewable energy has seen significant upturn in the last decade. Renewables can be exploited to meet the global energy needs and climate change mitigation goals. Therefore, development of urban and regional energy systems must take into account the possibilities and challenges posed by the increasing penetration of the renewable. The achievement of goals of the energy system in the context of transition to low-carbon energy society rises numerous complex decisions over development of infrastructure and technologies. Although renewable energy devices generate clean energy, they also change landscape. The term of energy-scape encourages discussion about interactions between the energy system and the environment, and other ecosystem services at local level. The paper reviews previous studies analysing energy-scape elements and provides the insights towards the transition to low-carbon energy and low-carbon society in general. The systematic literature review allows clearly outlining the problem and gives reliable background for further studies. The main contribution of the article to the existing literature is the creation of framework for the analysis and assessment of new renewable energy technologies installation and infrastructure. The presented framework can be applied for all renewable energy technologies and infrastructure in both urban and rural areas and allows to attain a decision acceptable to the local community., (© The Author(s), under exclusive licence to Springer Nature B.V. 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

Energy Union aims to provide clean, secure, and affordable energy for many customers leading societies towards sustainable energy development. Several criteria were introduced in this vein to evaluate the twenty-third EU countries' progress towards energy union goals. The present study proposed and applied a SWARA-TOPSIS framework based on Pythagorean fuzzy sets to rank the EU members considering their sustainable energy development progress. Ten experts working in various fields were selected to support the identified criteria, and a sensitivity analysis based on twenty scenarios was performed to evaluate the proposed model's sensitivity to weight changes. The obtained results indicated that "energy affordability" is the most influential criterion for evaluating countries, and the proposed model is sensitive to weight changes. Luxembourg is also the first-ranked country, followed by Denmark and Sweden, while Bulgaria achieved the worst rank among the EU considering its progress towards the energy union goals. The analysis of the results indicates room for improvement in implementation with the European Union goals by the EU members and the need to consider energy justice and affordability in the policy development, especially in the new members of the EU., (© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

The study of the link between production, measured in gross domestic product and CO 2 emissions, is a topic under intense research. Carbon emissions are moving together with economic shocks (high synchronicity), particularly at troughs and peaks of a business cycle. This research investigates the influence of economic shocks to carbon emissions. Previous studies do not provide a direct empirical evidence on the impact of economic shocks to carbon emissions that are available. We employ structural vector autoregression to explore the impact of economic shocks on carbon emissions in 20 advanced economies from 1870 to 2016. Our empirical results prove a strong, statistically significant connection between emissions and output with a coefficient of elasticity > 1. We identify a strong empirical link using panel structural vector autoregression between carbon emissions and real GDP growth per capita. Up to 40% of the fluctuations in CO 2 emissions is explained by combined economic factors (output, population, oil prices, stock exchange). The findings further indicate that carbon emission is determined by energy policy (energy intensity, carbon intensity, relative costs of renewable energy). Our findings contribute to energy policy management, energy, and business cycle research to inspire novel research on energy cycles., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study aims to examine the association between province-level socioeconomic welfare factors and depression symptoms among older adults in China. Province-level socioeconomic characteristics were merged with microdata for respondents over 65 years from the 2018 China Health and Retirement Longitudinal Study (CHARLS) Wave 4 (N = 6657). Principal component analysis (PCA) was used to extract three socioeconomic welfare factors constructed from 14 province-level variables. A Bayesian mixed-effects logistic model was applied to measure the association between the three socioeconomic welfare factors and depression symptoms while controlling for socio-demographic variables. The PCA showed that economic welfare, medical resource welfare, and social service welfare together explained 72.2 percent of the total variance of the 14 province-level variables. It was found that increasing economic welfare was significantly associated with a lower probability of depression symptoms (OR = 0.806, 95%CI: [0.674, 0.967]), while medical facilities were associated with a higher probability of depression symptoms (OR = 1.181, 95%CI: [1.029, 1.354]) among Chinese older adults. Uncertainty existed as to whether having access to social welfare (OR = 0.941, 95%CI: [0.835, 1.060]) was associated with prevalence of depression. Thus, improved socioeconomic welfare systems for older adults (which possibly require an increase in spending) are necessary to contribute further to reduced depression risk in China. Policymakers should also improve the utilization of medical resources to mitigate the incidence of depression among the elderly in China., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Petroleum refinery industry (PRI) projects are inherently unsustainable for the most part, because of their environmentally and socially negative potential effects; nonetheless, their development is inevitable due to their deep positive impact on economic development for stakeholders and the society at large. With these competing realities, it is extremely important to develop tools that can quantify the level of sustainability of various alternatives, so managers can make informed decisions about how to go forward with these projects. Due to the complexity of life cycle and sustainability assessment of PRI projects, in addition to their complicated multidisciplinary nature, indicator-based approaches are used oftentimes as sustainability assessment tools. In this paper, an indicator-based sustainability framework is proposed based on the literature review at the qualitative level to cover the pillars of sustainability (which is social, economic, and environmental). Then, a quantitative set of sustainability assessment factors is developed which tries to address global sustainability concerns and to reinforce the understanding of sustainability by utilizing quantitative means. UN sustainability indicators were used as the basis for the study, and the framework was developed further to reflect the specifics of PRI projects; the result of this step is 140 quantitative sustainability factors. To realize the highly relevant global concerns regarding sustainability assessment factors to be applied to PRI projects, the screening process has been done by Delphi technique in combination with Fuzzy set theory, to select the most important as well as relevant indicators which results in 101 relevant quantitative sustainability factors; then, a panel of experts has converted the screened quantitative factors to meaningful ones for PRI projects. The expert panel has then interpreted the list of factors, according to expert judgments. Finally, a comparative study has been done to see how the results will compare with those of frequently used systems. The results of the study are of primary importance due to their applicability in sustainable decision-making, as well as for future studies. The reinforced indicator-based sustainability framework will make a core, not only to assess existing plants with various characteristics but also for new refineries that are going to be developed based on sustainability principles.

The agriculture in Eastern Europe has seen a number of economic and social transitions. This research examines the gender inequality in agriculture by taking the case of an Eastern European country - Lithuania - as an example. The questionnaire survey was employed in order to check the existence of gender inequality. The study focuses on the young farmers as they are more likely to implement innovations and shape the future agricultural activities. The demand for advisory services and participation in the Common Agricultural Policy measures were used to compare the activities and perceptions of men and women young farmers. We found that there are no significant differences in participation of support measures and demand for advisory services across the genders. This suggests Lithuanian agricultural sector is equally beneficial for men and women young farmers. Given the differences in the educational background, a positive effect is anticipated if women were more empowered in Lithuanian agriculture. Women's participation in agriculture could increase environmental awareness, propensity to innovate and economic resilience., (© 2020 Elsevier Ltd. All rights reserved.)

EU has set ambitious commitment to achieve low carbon energy and economy transition up to 2050. This low carbon transition means sustainable energy development path based on renewable energy sources and first of all should address the energy poverty vulnerability and justice issues. The main goal of the paper is to develop indicators framework for assessing low carbon just energy transition and to apply this framework for analysis how climate change mitigation policies in households targeting enhancement of energy renovation of residential buildings and promotion of the use of micro-generation technologies and other policies are affecting household's energy poverty and vulnerability in selected countries: Lithuania and Greece. This framework allows to assess three main dimensions of sustainable energy development: environmental, social and economic. The paper provides policy recommendations how to deal with just low carbon energy transition which means addressing energy poverty issues during moving to 100% renewables in power generation based on performed case studies., Competing Interests: Conflict of interestThe authors declare that they have no competing interests., (© The Author(s), under exclusive licence to Springer Nature B.V. 2021.)

The carbon footprint for organic and conventional crop farming systems was assessed in Kaunas district (Central Lithuania) using the Life Cycle Analysis (LCA). Data from field experiments were applied to define the effects of the organic and conventional crop farming systems. Both manure and mineral fertilizers were applied to the conventional and only manure in the organic rotations. The closed chamber method was employed to calculate carbon footprints of emitted and absorbed CO 2 fluxes. The carbon flows in different agro-ecosystems were also analysed by the estimation of the biomass and leaf area index. The carbon footprints per hectare obtained for the organic farming systems were significantly lower than those obtained for the conventional ones. These results imply that the analysis of the whole crop rotation based on the LCA remains an important issue for analysis of the effects of farming. The introduction of ley and maize into the both organic (OF) and conventional farming (CF) systems resulted in the highest sank of C rates from the atmosphere that has been accumulated in highest net ecosystem production (NEP). The estimates of the carbon footprint indicate the capability of crops to sequester atmospheric carbon in biomass. Nonetheless, out of the crops considered, only ley featured the positive carbon balance and the lowest environmental impact due to the lowest CO 2 emissions and LCA indices in both farming systems. The results imply that reasonable crop-mix within the crop rotation schemes may lead to reduction of CO 2 emissions (i.e. their environmental impact) and mitigation of the climate change. However, the differences between the carbon footprint for the OF and CF agroecosystems were insignificant in general., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020. Published by Elsevier B.V.)

Even though Chinese government has been promoting the development of renewable energy, coal-fired thermal electricity generation still accounts for nearly 70% of the total electricity generation, proving to be the largest carbon dioxide (CO 2 ) emitter in China. Uncovering the driving forces of CO 2 emissions, thus, is of great significance to provide appropriate mitigation policies for the sustainable development of China's thermal electricity generation. In this regard, this study aims to fill a research gap by applying Index Decomposition Analysis (IDA) approach via the Generalized Divisia Index Model (GDIM) to examine the driving factors behind the CO 2 emission changes in China's thermal electricity generation during 2000-2016. The decomposition results indicate that the factors contributing to the growth in CO 2 emission can be ranked as follows: economic activity (52.0%), electricity demand (45.8%) and energy use (36.2%), whereas factors suppressing the growth in the mission are carbon intensity change (-17.7%), technology (-11.3%), energy mix (-2.4%), energy efficiency (-1.7%) and electricity efficiency (-0.9%). Noteworthy, the promoting effect of the economic activity varied little with time, whereas that of electricity demand and energy use exhibited a downward trend in general. Besides, though the progress in technology contributed a lot to the decrease of CO 2 emission, its decreasing effects tended to diminish since 2013. Northeast and East regions appeared as those contributing to the mitigation of the CO 2 emissions from China's thermal electricity generation, whereas the North and Northwest regions exerted a lag to the abatement of CO 2 emission., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Understanding the nexus CO 2 emissions and economic growth helps economies in formulating energy policies and developing energy resources in sustainable ways. Although during recent years, numerous of the previous studies have been very thoroughly investigated the nexus between economic growth and CO 2 emissions, there is a lack of research regarding the qualitative systematic review and meta-analysis in these areas. The main purpose of this review paper is to present the comprehensive overview of the relationship between CO 2 emissions and economic growth. In this regard, the Web of Science database has been chosen and a qualitative systematic and meta-analysis method which called "Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)" has been proposed. Therefore, a review of 175 published articles appearing in 55 scholarly international journals between 1995 and 2017 has been achieved to reach a broad review of the nexus between economic growth and CO 2 emissions with other indicators. Consequently, the selected articles have been categorized by the author name, the year of publication, data duration, types of techniques, data analysis method, the name of indicators, country, scope (individual country and multi-countries), journals, results, and outcome in which they appeared. The results of this paper demonstrated that the nexus between CO 2 emissions and economic growth gives reasons for policy options that have to reduce emissions by imposing limiting factors on economic growth as well. Given the fact that bidirectional causality exists, as far as economic growth increases or decreases, further CO 2 emissions are stimulated in higher or lower levels and consequently, a potential reduction of the emissions should have an adverse influence on economic growth., (Copyright © 2018 Elsevier B.V. All rights reserved.)

The article deals with indicators framework to monitor implementation of the main EU (European Union) directives and other policy documents targeting sustainable energy development. The main EU directives which have impact on sustainable energy development are directives promoting energy efficiency and use of renewable energy sources, directives implementing greenhouse gas mitigation and atmospheric pollution reduction policies and other policy documents and strategies targeting energy sector. Promotion of use of renewable energy sources and energy efficiency improvements are among priorities of EU energy policy because the use of renewable energy sources and energy efficiency improvements has positive impact on energy security and climate change mitigation. The framework of indicators can be developed to establish the main targets set by EU energy and environmental policies allowing to connect indicators via chain of mutual impacts and to define policies and measures necessary to achieve established targets based on assessment of their impact on the targeted indicators representing sustainable energy development aims. The article discusses the application of indicators framework for EU sustainable energy policy analysis and presents the case study of this policy tool application for Baltic States. The article also discusses the use of biomass in Baltic States and future considerations in this field.