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The adoption of circularity indicators in the electrical and electronic sector is understood to play a critical role in organisational decision making during the transition from a linear to a circular economy. Yet, it is widely recognised that there is no standardised method of measuring circularity performance. Additionally, the extent of literature uncovers a range of shortcomings of existing cross-sector circularity indicators, including a predominant focus on end-of-life, limited coverage of social measurements, a lack of sector specificity and limited capture of product functionality, durability or sharing. Furthermore, the current electrical and electronic sector-specific circularity indicators focus greatly on repair and recycling, failing to acknowledge the significant impact on circularity of the design and manufacturing, distribution and use phases. Therefore, this research set out to answer how electrical and electronic manufacturers can measure the circular economy performance of their products by developing and testing multidimensional circularity indicators for all products’ life cycle stages. To achieve this, a two-fold qualitative approach was adopted. Firstly, a stakeholders’ workshop aiming to generate, categorise and rate novel circularity indicators was held. Secondly, a focus group piloted the resulting workshop’s circularity indicators. The findings highlight key factors that influence circularity indicators’ applicability to electrical and electronic products, including product function, service arrangement, and customer type. The research has implications for electrical and electronic organisations seeking pathways to the circular economy by understanding, assessing, and measuring the circularity of their products.

Considering the necessity of achieving economic development by keeping the quality of the environment, the aim of this paper is to study the impact of economic growth on GHG emissions in a sample of Central and Eastern European (CEE) countries (V4 countries, Bulgaria and Romania) in the period of 1996–2019. In the context of dynamic ARDL panel and environmental Kuznets curve (EKC), the relationship between GHG and GDP is N-shaped. A U-shaped relationship was obtained in the renewable Kuznets curve (RKC). Energy consumption, domestic credit to the private sector, and labor productivity contribute to pollution, while renewable energy consumption reduces the GHG emissions. However, more efforts are required for promoting renewable energy in the analyzed countries.

The 21st century is characterized by unpredictable and changing environments that require individuals and organizations to adapt to these challenges and prepare for continuous transitions in the work environment. Optimism and hope are positive resources that are key factors in navigating this post-modern work scenario. Emotional intelligence can be considered as another important variable in this context and furthermore, research has shown it can be increased through specific training. The aim of the present study is to examine the contribution of emotional intelligence in mediating the relationship between personality traits and both optimism and hope. The Big Five Questionnaire (BFQ), the Trait Emotional Intelligence Questionnaire (TEIQue-SF), the Life Orientation Test Revised (LOT-R), and the Hope Scale (HS) were administered to 201 Italian workers. Correlations among variables were calculated and mediation analyses were performed. The results showed that the relationships between personality traits and both optimism and hope are mediated by emotional intelligence. In particular, the contribution of emotional stability, agreeableness, and extraversion on optimism was mediated by emotional intelligence; the contribution of extraversion, emotional stability, and conscientiousness on hope was mediated by emotional intelligence. These results open new possibilities for research and interventions to enhance the personal resources of workers in the fluid scenario of the 21st century by promoting optimism and hope that are facilitated by emotional intelligence in the perspective of enhancing psychological aspects of sustainability and sustainable development.

PurposeThe pressure of globalization has raised social concerns related to the protection of the environment, forced companies to use sustainability as a strategic weapon to fulfill the legal obligations and achieve overall competitiveness. It is reported that small- and medium-sized enterprises (SMEs) are globally responsible for approximately 70 percent of the industrial pollution, justifying urgent attention to the operations of these businesses. The purpose of this paper is to analyze the impact of sustainability orientation (SO) and supply chain (SC) integration implemented by SMEs on their sustainable procurement (SP) and design. Moreover, this study examines how SMEs’ SP and design affect their environmental and cost performance (CP).Design/methodology/approachThe authors develop a comprehensive model to test the relationships among SC, SC integration, SP, sustainable design (SD), environmental performance (EP) and CP at the SMEs level. The authors investigate the relationships of the mentoned factors by a data set that is collected from 358 Indian manufacturing SMEs.FindingsThe results indicate that in the SMEs’ context: SO positively influences both SP and SD; external integration positively affects SP; internal integration positively affects SD; SP positively influences EP and has not impact on CP; and SD positively influences both EP and CP.Originality/valueThis study provides a broad view of the relation between driving factors that may direct SMEs toward a better sustainability performance and offers practical managerial insights into these important business entities.

In the last years, the circular economy (CE) paradigm is being widely explored by researchers and institutions as a possible path to increase the sustainability of our economic system. Reuse, repair and recycling are becoming crucial activities in many sectors. At the same time, companies are showing an increasing interest for this new economic model. However, the state of the art shows that a deep research on CE assessment and indicators is still lacking, in particular on the micro level. This work tries to fill this gap, first analyzing the current literature on CE assessment, then proposing a reference framework for the monitoring phase of a CE strategy. Finally, the main existing environmental assessment methodologies based on indexes are analyzed according to their suitability to evaluate the circularity of a system. A systematic approach for the choice of the adequate methodology is also provided, highlighting the main critical steps in the assessment of a CE strategy. Further research could be focused either on the extension of this approach to include other assessment methods, and on the validation of this proposal in a case study.

The paper presents the comparative analysis of the amount of waste generated in Ukraine and European countries (except for radioactive waste) based on the official EU and Ukrainian statistical data. The data on waste generation are compiled according to the following classification: by economic activity and household, waste category, grades of hazard, and regions. In Ukraine, 352.3 million tons of waste was generated in 2018. By 2018, almost 13 billion tons of waste had been accumulated at the managed dumpsites, including about 12 million tons of hazardous and over 200 million tons of household waste. In the European Union, 2.6 billion tons of waste was generated in 2018. Over 70% of it was generated by 10 countries: Germany, France, England, Poland, Romania, Italy, Sweden, the Netherlands, Spain and Finland. By economic activity, the largest amounts of waste in Ukraine are generated by the mineral extraction and processing industry, the smallest – from water treatment and construction. In the EU countries, these values are somewhat different. For example, in Germany and France, the largest amounts of waste are generated from construction and manufacturing, the smallest – from agriculture, forestry and fishery. By waste category, the waste generated both in the EU countries and in Ukraine is mineral and solid waste. In Ukraine, the largest amounts of waste are produced and accumulated in the Dnipropetrovsk, Donetsk and Zaporizhzhia regions which accommodate large enterprises for extraction and mineral processing of iron and manganese ores, titanium-zirconium placers, coal, dolomite, and metallurgical limestone, as well as metallurgical and ferroalloy plants.

This write up is further to and in continuation of previous article “An inquiry on social issues, Part 1”. We are aware that we all face various types of social issues like corruption, terrorism, drug addiction, child labour, prostitution and human trafficking etc. Till date we fight against them but we could not surmount them. On the contrarily, some of them have given such impact on us as if they are impossible to curb. We have already discussed that following seven reasons are responsible for the subject social issues. For the sake of simplicity, I reproduce all the seven reasons here bellow to make it easy for the readers of this Part 2.

AbstractJapan has set greenhouse gas emissions reduction targets for 2030 and 2050, as stated in the nationally determined contribution (NDC) and in the long-term strategy for decarbonization (LTS) submitted to the UNFCCC in 2020, respectively. While upgrading these targets is needed to realize the global climate goals (2 °C and 1.5 °C), the implications of the target for the period in-between remains unclear. This study assesses the energy and macroeconomic impacts of enhancing the ambition of 2040 and 2050 emission reduction targets in Japan by means of a computable general equilibrium (CGE) model. In addition, we analyze the implications on the speed of energy efficiency improvement and low-carbon energy penetration along with macroeconomic impacts, and the shift from the current LTS goal (80% emissions reduction by 2050) to a full decarbonization one. The study shows that, compared to the current ambition (53% reduction by 2040 compared to 2005), enhancing ambition of the 2040 (63% reduction by 2040 compared to 2005) and 2050 targets (zero emissions by 2050) rises the share of low-carbon energy supply more drastically than the decreases in energy intensity, and increases macroeconomic costs by 19–72%. Moreover, meeting these targets demands accelerating considerably the reductions in carbon intensities through expansion of renewables and CCS beyond historical trends and beyond current efforts towards the 2030s NDC. Enabling larger low-carbon supplies and energy efficiency improvements makes full decarbonization by 2050 possible at costs equivalent to current ambition. Further analyses are needed to clarify at a finer detail the implications of changes in these enablers by sectors, technologies and policies. This kind of analysis offer key insights on the feasibility of Japan’s emission reduction targets for the formulation of new commitments for the next cycle of the Global Stocktake under the Paris Agreement.