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This study critically examines the sectoral dynamics of renewable energy (RE) adoption across the EU-27 from 1990 to 2023, addressing the persistent gap between electricity generation and end-use sectors. Utilizing Eurostat energy balance data, the research employs a robust multi-methodological framework. We apply the Logarithmic Mean Divisia Index (LMDI) decomposition to isolate driving factors, and the Self-Organizing Maps (SOM) of Kohonen to cluster countries with similar transition structures. Furthermore, the Method of Moments Quantile Regression (MMQR) is used to estimate heterogeneous drivers across the distribution of RE shares. The empirical findings reveal a sharp dichotomy: while the share of renewables in the electricity generation mix (RES-E-Renewable Energy Share in Electricity) reached approximately 53.8% in leading member states, the aggregated share in the transport sector (RES-T) remains significantly lower at 9.1%. This distinction highlights that while power generation is decarbonizing rapidly, end-use electrification lags behind. The MMQR analysis indicates that economic growth drives renewable adoption more effectively in countries with already high renewable shares (upper quantiles) due to established market mechanisms and grid flexibility. Conversely, in lower-quantile countries, regulatory stability and direct infrastructure investment prove more critical than market-based incentives, highlighting the need for differentiated policy instruments. While EU policy milestones (RED I–III-) align with progress in power generation, they have failed to accelerate transitions in lagging sectors. This study concludes that achieving climate neutrality requires moving beyond aggregate targets to implement distinct, sector-specific interventions that address the unique structural barriers in transport and thermal applications.

A rapidly expanding field, sustainable agriculture aims to produce food and energy for people today and future generations. The sustainability concept is different in every field; thus, the indicators are unique in any area and country. Sustainable agriculture contains three main dimensions: economic, environmental, and social. Sustainable agriculture has been the focus of researchers for the past twenty-five years and has attracted much attention. Many researchers tried to identify these dimensions, but there is a lack of new research concerned with grouping all indicators together. Moreover, the indicators will change every year, so the indicators list needs to be frequently updated. This study follows the protocol for SALSA (Search, Appraisal, Synthesis, and Analysis) and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Web of Science (WoS) was used for the literature search. A total of 101 indicators were found from previous studies for the three dimensions: social, environment, economic. In order to measure the most important indicators for sustainable agriculture, the paper proposes an appropriate set of indicators, as well as providing the previous papers analyzed by year of publication, continent, and topic.

The digital revolution is reshaping public administration across the European Union, demanding new forms of leadership and innovation. The Public Manager 5.0 represents this new generation of leaders - professionals who blend technology, ethics, and empathy to create smarter and more inclusive governance. Through initiatives such as e- Estonia, AuroraAI in Finland, or MindLab in Denmark, EU states are proving that digital transformation is not only about efficiency but about building trust, transparency, and public value in the digital age. This research aims to explore and compare the evolution of digital maturity of public administration and the public manager in the digital age in a few selected member states of the European Union (EU). The other objectives were to design the competency profile of the public manager 5.0, to present the main changes recommended to the EU countries for increasing the digital transformation of their public administrations and innovative governance, and to set up the steps needed for the Romanian public administration to move on in the digital context. The methodology is based on a comparative documentary analysis of digital transformation practices in selected EU countries, as well as the EU's strategies in the field of digital governance. The empirical study was conducted based on the international databases: OECD Digital Government Index (DGI), United Nations E-Government Development Index (EGDI) 2024 and Eurostat. The results indicate significant differences between countries in terms of digital maturity, managerial culture, and public competencies adopted by public managers. The conclusion emphasizes the need for an integrated reform of managerial competencies in European public administration, focusing on digital, ethical, innovative, and sustainable public management.

The paper analyses the linkages between GDP per capita, greenhouse gas (GHG) emissions, and renewable energy (RE) in the total final energy consumption and green investments (PICE) which are measured as private investments, jobs, and gross value added related to circular economy sectors. The object of the analysis is the EU countries during the 2008-2016 period (crisis and post-crisis period). In the paper, data from the following databases was used: the Eurostat, the World Data Bank, and the European Environmental Agency. For addressing the linkages between the aforementioned indicators, the following methods were applied: panel unit root test, Pedroni panel cointegration tests, and the fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) panel cointegration techniques. The findings show that FMOLS and DOLS demonstrate the same results as GHG, PICE, RE influence on GDP of the EU countries. The findings prove there is linking between gross domestic product per capita, greenhouse gas emissions, renewable energy in the total final energy consumption and green investments. The findings also show that green investment (PICE) could provoke the growth of GDP per capita by 6.4%, the decline of GHG by 3.08%, and the increase of renewable energy in the total final energy consumption by 5.6%.

The current energy crisis has shown all states that energy from renewable sources can be a determining factor in the states’ sustainable development. Several papers have studied the relationship between renewable energy consumption and economic development, finding various situations, but there is no consensus. Thus, this study aims to first investigate the causal relationship between economic growth and total and sectoral renewable energy consumption (European Union and each Member State, for 2004–2020) by testing various linear and non-linear regressions to choose the fit model. Second, the investigation extends to analysing the impact of renewable energy consumption by sector on economic development. A hybrid approach is used, namely structural equation modelling and artificial neural networks. The study findings indicate the effect and the meaning (directly or inversely) exerted by the three sectoral components on economic growth, with different intensities from one country to another. There is a significant influence on the consumption of renewable energy in the heating and cooling sectors and transport on gross domestic product at the European Union level and for most member states. Based on the obtained results, a series of theoretical, practical, and political implications are provided.

Sustainable agriculture strives to ensure future food and energy supply while safeguarding natural resources. The interpretation of sustainability varies by context and country, yielding distinct indicators. Researchers have studied sustainable agriculture for the past 25 years and have developed several indicators. Renewable energy holds a vital role in sustainable agriculture, aiding energy needs and mitigating environmental harm tied to agriculture. It curbs fossil fuel dependency and harnesses agricultural waste for energy. However, a consistent update of renewable energy indicators for agricultural sustainability is needed. Employing SALSA (Search, Appraisal, Synthesis, and Analysis) and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodologies within the PRISMA protocol, this study extracts 84 indicators from 420 papers via SCOPUS. These indicators span social, environmental, economic, institutional, and technical dimensions. The study refines these indicators based on significance and influence, offering an enriched perspective. Furthermore, the analysis categorizes papers by publication year, continent, and topic, providing insights for stakeholders, policymakers, and researchers. By ensuring periodic indicator updates, this research promotes sustainable agriculture, informs priority areas, and guides strategic decisions. This contributes to global resilience and food security aspirations in a changing world. The future of renewable energy and sustainable agriculture will involve cutting-edge technologies, refined policy frameworks, and inclusive cross-sector collaboration to address pressing global challenges and create a greener, more resilient world.

Covid-19 pandemic provided many negative effects on world economies and people around the world. The covid-19 creates many threats to sustainability of agriculture sector which is very sensitive because of food supply security needs. First of all, it is necessary to analyse and comprehend the immediate consequences of current pandemic on agricultural and food systems in order to develop necessary actions. The risks, vulnerability, resilience and systemic shifts of agricultural systems need to be better understood in order to adapt to covid-19 pandemic. The aim of this paper is to analyse the negative impacts of covid-19 on agriculture and food systems by applying vulnerability and resilience approach by treating covid-19 like global disaster. The concepts of 'vulnerability', and 'resilience' which dominates disaster studies historically initiated after the World War II were applied to systematise literature review. The main input of this paper is systematization and grouping of the main measures to enhance resilience of agriculture systems in the face of covid-19 pandemic based on recent scientific studies published in 2020. The future research guidelines are also provided based on conducted systematic literature review.

Moving to 100% renewables scenario in EU requires huge support to renewable energy technologies, however this support needs to integrate positive externalities of renewables, therefore it is important to analyse dynamics of external costs of electricity generation in Visegrad countries and to compare them with support allocated to renewable energy sources in these countries. Therefore, the paper aims to compare the Visegrad countries in terms of reduction of external electricity generation costs due to increased share of renewables in electricity generation and the government support provided for renewables. ExternE methodology and CASES database is applied in this research. The results of study provide guidance for policy makers with regards to promotion of RES for achieving low-carbon energy transition by 2050.

Total factor productivity (TFP) growth measures usually focus on a certain direction of optimization and ignore the general setting encompassing the input and output orientations simultaneously. This paper uses the generalized Luenberger-Hicks-Moorsteen (LHM) TFP indicator which is additively complete and can be decomposed by three mutually exclusive elements. The input- and output-oriented analysis is undertaken in order to derive the generalized TFP measured. The paper uses the corn production data from 19 Chinese provinces over the period of 2004–2017. This research is important as China is the second largest corn producer in the world. The TFP growth was observed for Chinese corn farming the rate of 0.56% per year. The technological progress (0.48%) was the major source of the TFP growth, whereas the importance of the technical efficiency change (0.09%) and scale efficiency change (–0.01%) was negligible.

Green Lean Six Sigma has emerged in the Industry 4.0 era as a business strategy contributing to the circular economy by adopting the 3R concept, i.e., reduce, reuse, and recycle. Despite its broadly acknowledged capabilities in the manufacturing industry, practitioners continue to be cautious about its implementation, owing to insufficient knowledge and culture. Hence, there is a need to systematize the existing knowledge regarding this green initiative and also to recognize the key factors enabling its implementation. In the Malaysian manufacturing context, the enabling factors have yet to be identified and evaluated. This current study is the first of its kind to identify and examine these factors and to create a structural model to conceptualize and operationalize this business strategy. The implemented methodological approach includes two steps. Firstly, it performs a systematic review of leading studies on the topic, which are rather scarce in the current context. The second step entails a principal component factor analysis using varimax rotation to finalize the findings. The theoretical and empirical results revealed a structural model with five interconnected key factors, including twenty-seven enablers, that can be used to narrow the existing knowledge gap in the understudied context.