Search Results (73)

Urban areas are responsible for most of Europe’s energy demand and emissions and urgently require building retrofits to meet climate neutrality goals. This study evaluates the energy efficiency potential of three public school buildings in western Macedonia, Greece—a cold-climate region with high heating needs. The buildings, constructed between 1986 and 2003, exhibited poor insulation, outdated electromechanical systems, and inefficient lighting, resulting in high oil consumption and low energy ratings. A robust methodology is applied, combining detailed on-site energy audits, thermophysical diagnostics based on U-value calculations, and a techno-economic assessment utilizing Net Present Value (NPV), Internal Rate of Return (IRR), and SWOT analysis. The study evaluates a series of retrofit measures, including ceiling insulation, high-efficiency lighting replacements, and boiler modernization, against both technical performance criteria and financial viability. Results indicate that ceiling insulation and lighting system upgrades yield positive economic returns, while wall and floor insulation measures remain financially unattractive without external subsidies. The findings are further validated through sensitivity analysis and policy scenario modeling, revealing how targeted investments, especially when supported by public funding schemes, can maximize energy savings and emissions reductions. The study concludes that selective implementation of cost-effective measures, supported by public grants, can achieve energy targets, improve indoor environments, and serve as a replicable model of targeted retrofits across the region, though reliance on external funding and high upfront costs pose challenges. Full article

In the context of global climate change and the deepening of ecological civilization construction, forestry, as an ecological security barrier and green economic engine, faces many challenges to the enhancement of its ecological total factor productivity in the traditional development model. As a new type of production factor, the data factor provides a new path to crack the bottleneck of forestry eco-efficiency improvement. Based on China’s provincial annual panel data from 2014 to 2022, this study systematically examines the impact and mechanism of data factors on forestry ecological total factor productivity by using the SBM-GML model and dual machine learning model. It was found that data factors have a significant contribution to forestry ecological total factor productivity, a conclusion that passes a series of robustness tests and endogeneity tests. The analysis of the mechanism shows that the data factor enhances the total factor productivity of forestry ecology mainly through three paths: promoting the progress of forestry technology and promoting the rationalization and advanced structure of the forestry industry. Further analysis showed that the promotional effect of data elements is more obvious in regions with a high level of green finance development, high intensity of environmental regulation, and strong financial autonomy. It is recommended to systematically promote the in-depth application of data elements in forestry, build a data element-driven innovation system for the whole chain of forestry, and implement regionally differentiated data element-enabling strategies. Full article

Under China’s dual-carbon strategy, the construction sector still lacks a systematic quantitative view of what drives its shift to a circular economy. This study couples the Decision-Making Trial and Evaluation Laboratory (DEMATEL) with Total Adversarial Interpretive Structural Modeling (TAISM) to build a weighted, multi-layer model of the policy–market–organization–technology chain. DEMATEL measures causal strengths, and TAISM arranges the variables into five levels without subjective thresholds, revealing a five-stage activation pathway. Fiscal incentives and regulations start the cascade; market demand amplifies their effect into a “resonant resilience” mechanism that improves cost performance. Robustness tests show 87% hierarchy stability and causal variation within ±0.6%. Sensitivity checks indicate that policy support must supply at least 30% of total network weight, because market capital alone cannot meet circular-construction costs. A three-tier intervention—policy incentives, financial amplification, and digital decomposition via green finance, BIM, and material passports—is therefore recommended. Full article

Rapid urbanisation in Sub-Saharan Africa demands innovative land management strategies that promote sustainable, inclusive, and resilient urban development. This study investigates the potential of land readjustment (LR) to foster neighbourhood-scale social–ecological urban resilience (SEUR) through a case study of the Nunga LR project in Kigali, Rwanda. Grounded in the social–ecological system (SES) theory and operationalised through the social–ecological land readjustment model for resilient neighbourhoods, the research evaluates LR practices against an integrated benchmark framework combining LR aspects, neighbourhood design standards, and resilience attributes. The study uses secondary data, project shapefiles, and key informant interviews to assess how Rwanda’s emerging LR model contributes to resilient neighbourhood development. Findings demonstrate strong community mobilisation and adaptive governance capacity. However, critical resilience dimensions—including modularity, green infrastructure integration, land-use diversity, and adaptive feedback mechanisms—were only partially operationalised. Consequently, while LR improved spatial formalisation and basic infrastructure provision, it fell short of creating a truly resilient, multifunctional neighbourhood ecosystem. These findings highlight the need to reframe LR from a purely technical land management tool into a systemic resilience-building mechanism. Policy recommendations include mandating green/blue infrastructure in LR plans, establishing innovative financing mechanisms, institutionalising adaptive monitoring, strengthening affordability safeguards, and promoting multifunctional spatial layouts. The study contributes to urban resilience and land governance scholarship by offering a context-sensitive, empirically tested model for integrating SEUR principles into LR practice in rapidly urbanising African cities. Future research should pursue longitudinal analyses and dynamics modelling of land readjustment impacts to deepen understanding of urban resilience pathways in the Global South. Full article

This study examines the role of microfinance institutions (MFIs) in advancing sustainable development by integrating environmental and social objectives into their operations. Using panel data from 30 MFIs across nine countries (2018–2023), the analysis applies Ordinary Least Squares (OLS), Instrumental Variables (2SLS), and Generalized Method of Moments (GMM) to assess policy impacts over time. “Access to environmental finance” is used as a validated instrument to address endogeneity. Results show that green lending and environmental risk management significantly reduce greenhouse gas emissions and improve gender empowerment. Larger institutions with stronger governance achieve better outcomes, and dynamic models (GMM) confirm the persistence of these effects over time. The findings highlight the importance of regulatory support, green finance infrastructure, and institutional capacity-building for scaling sustainable microfinance. Full article

Modern cities are rapidly evolving in terms of urban morphology, driven by exponential population growth that accelerates the urbanisation process. The changes in land use have increased urban area and density, intensifying the urban heat island (UHI) effect, which poses one of the biggest threats to human health and well-being, especially in metropolitan regions. One of the most effective strategies to counter urban heat is the implementation of green infrastructure and the use of suitable building materials that help reduce heat stress. However, access to green spaces and the affordability of efficient building materials are not the same among citizens. This paper aims to identify the socio-economic characteristics of communities in Melbourne, Australia, that contribute to their vulnerability to urban heat under local conditions. This study employs remote sensing and geographical information systems (GIS) to conduct a macro-scale analysis, to investigate the correlation between urban heat patterns and socio-economic characteristics, taking into account factors such as vegetation cover, built-up areas, and land use types. The results from the satellite images and the geospatial data reveal that Deer Park, located in the western suburbs of Melbourne, has the highest land surface temperature (LST) at 32.54 °C, a UHI intensity of 1.84 °C, a normalised difference vegetation index (NDVI) of 0.11, and a normalised difference moisture index (NDMI) of −0.081. The LST and UHI intensity indicate a strong negative correlation with the NDVI (r = −0.42) and NDMI (r = −0.6). In contrast, the NDVI and NDMI have a positive correlation with the index of economic resources (IER) with r values of 0.29 and 0.24, indicating that the areas with better finance resources tend to have better vegetation coverage or plant health with less water stress, leading to lower LST and UHI intensity. This study helps to identify the most critical areas in the Greater Melbourne region that are vulnerable to the risk of urban heat and extreme heat events, providing insights for the local city councils to develop effective mitigation strategies and urban development policies that promote a more sustainable and liveable community. Full article

As the world accelerates efforts to combat climate change and transition toward a green, low-carbon economy, the new energy vehicle (NEV) industry has become a key driver of carbon reduction. Its ability to innovate efficiently is critical to long-term sustainable development. This study builds on the innovation value chain theory and introduces an evaluation framework that accounts for undesirable outputs such as energy consumption and pollutant emissions. Using a super-efficiency network SBM–Malmquist model and Tobit regression, we analyze the technological innovation efficiency of 272 A-share listed NEV enterprises in China from 2016 to 2023. Expanding beyond traditional overall assessments, we examine efficiency at different stages of the industry chain and find that: (a) overall technological innovation efficiency has declined, mainly due to weak pure technical efficiency, underscoring the need for better R&D management and resource allocation; (b) efficiency varies across the industry chain, with midstream firms performing better than those upstream and downstream, reflecting differences in technological accumulation and market conditions; (c) R&D tax deductions and market competition significantly boost innovation efficiency by creating pressure-driven incentives, while mismatched labor skills, the “welfare dependence” effect of tax incentives and financing constraints hinder progress. By introducing a two-stage innovation efficiency evaluation framework, this study not only pinpoints where efficiency losses occur along the industry chain but also provides empirical insights to guide targeted policy decisions, offering valuable implications for the sustainable growth of the global NEV industry. Full article

Sustainable finance is critical for solving global concerns such as climate change, social inequality, and fostering a circular economy, which seeks to decouple economic progress from resource extraction and waste production. This study explores how sustainable finance tools, such as green bonds, microfinance, and impact investing, can advance financial inclusion and sustainable development in developing countries. Employing a mixed-methods approach that encompasses financial analysis alongside case studies from Sub-Saharan Africa, Asia, and Latin America, the study discerns both successful initiatives and ongoing challenges in reconciling CE objectives with financial accessibility. The results indicate that the global green bond issuance exceeded $575 billion in 2023, while efforts toward financial inclusion have enabled mobile money access for over 70% of the adult population in Sub-Saharan Africa. Nevertheless, the uptake of CE remains constrained, with merely 7.2% of materials within the global economy being classified as circular. These findings emphasize the necessity for integrated policies and innovative financial instruments to dismantle systemic obstacles and amplify sustainable finance solutions in resource-limited contexts. The study contributes to the literature by building on the existing frameworks and offering an integrated approach that provides empirical insights and pragmatic strategies for policymakers and financial institutions to enhance sustainable development and foster equitable economic growth, addressing gaps in traditional finance and regulatory frameworks to support circular economy adoption in resource-constrained nations. Full article

Building an ecologically sustainable civilization and promoting green development not only make up the new motive power for China’s economic growth but are also an inevitable choice for achieving the “Dual Carbon” goal. This paper draws on the results of China’s provincial panels from 2012 to 2021 and constructs a thorough assessment index system for green finance that includes five dimensions: standardized system, disclosure of information, policy incentives, products and market, international cooperation. The influence mechanism of green finance on the realization of the “Dual Carbon” goal is revealed based on both quantity and caliber perspectives of green technological innovation, and the governments’ and markets’ regulating roles are analyzed. The study’s findings imply that (1) green finance facilitates the achievement of the “Dual Carbon” goal; (2) green finance helps to achieve the “Dual Carbon” goal by boosting green technology innovation and, compared with strategic green innovation, the effect of substantive green innovation is more significant; and (3) government support and increased marketization can bolster green finance’s contribution to accomplishing the goal. This study not only theoretically breaks through the limitations of the existing green finance evaluation index but also expands the single “quantity” channel of the impact of green finance on carbon emissions to a more comprehensive “quantity” and “caliber” channel, and also provides countermeasures and guidelines for how to better play the “synergy” of the government and the market in the practice of green finance. Full article

This research creates the critical relationship between the blue economy, inclusive growth, and environmental sustainability in 17 transitional economies from 2000 to 2022. Using panel-corrected standard errors (PCSEs) and the Driscoll–Kraay standard error regression approach, we examine how inclusive growth significantly decreases the ecological footprint while the blue economy increases these effects through sustainable marine resource utilization and clean technologies. Focusing on countries such as Argentina, Brazil, China, India, Iran, Kenya, Malaysia, Mexico, Morocco, Pakistan, Singapore, South Africa, Saudi Arabia, and Sri Lanka, this study advances the understanding of how the blue economy fosters sustainability amidst rising consumption pressures. The findings underscore the potential of technology transfer, capacity building, regional collaboration and green finance mechanisms to unlock the blue economy’s full potential for inclusive and sustainable development, offering actionable insights for policymakers and future research directions in developing and transitional economies. Full article

The study evaluates the interest of business-educated Gen Z in pursuing careers in various industries and their potential to accelerate Green Innovation (GI). It specifically focuses on Gen Z in Europe, who are business-educated and pursuing their career in different industry sectors, and aiming to address climate change and sustainable practices. By adopting Green Entrepreneurial Orientation (GEO) and building Absorptive Capacity (AC), companies can significantly contribute to improving Environmental Orientation (EO) by appealing to Gen Z—their future employees and customers. The study aims to survey 280 business-educated Gen Z people in Europe. The findings of the study show that the relationship between absorptive capacity and environmental orientation is not always significant, and the impact can be negligible, specifically when the firms have a low commitment to environmental strategies and have a limited strategic emphasis on sustainable practices. The study aims to encourage innovation and sustainable growth among firms, opening the door to a more sustainable future and attracting goodwill from environmentally oriented Generation Z. The publication/article presents the results of the project financed from the subsidy granted to the Krakow University of Economics. Full article

Promoting green innovation is an important way to implement the dual carbon strategy and build an innovative country. Based on the panel data of 250 cities in China from 2011 to 2018, this paper constructs a two-way fixed-effect model, an intermediary effect model and a spatial Durbin model, and empirically studies the impact and mechanism of digital finance on urban green innovation. The results show that digital finance can improve the ability of urban green innovation, and its enabling effect mainly comes from improving the financial service model and improving the digital level. However, the role of digital finance in improving the efficiency of green innovation is not significant. Digital finance can promote urban green innovation by promoting the development of the Internet and alleviating the distortion of labor factors. A good environment for innovation will enhance the role of digital finance in promoting green innovation. Through further analysis, the spatial spillover effect of digital finance on green innovation at this stage is dominated by the siphon effect while the “trickle-down” effect is blocked. Full article

The green transition of polluting firms is critical for achieving sustainable economic development. While previous research has explored the relationship between environmental policy and corporate pollution, it has often neglected the sustainability challenges faced by firms. Drawing on data from listed companies in China from 2008 to 2022, this paper empirically examines the impact of environmental policy on the risk-taking behavior of polluting firms. Building on this analysis, we assess the ecological impact, characteristics, and underlying mechanisms of a specific policy, while proposing solutions to promote sustainability in polluting firms. The findings indicate that, although environmental policy reduces the risk-taking levels of polluting firms, it has not been effective in curbing pollution emissions. This effect is particularly pronounced in firms exhibiting characteristics such as low-quality environmental information disclosure, industry resource crowding, and stringent regional assessments. The policy heightens financing constraints and investment costs for polluting firms and diminishes their expectations for future growth, ultimately suppressing both their capacity and willingness to take risks. Further analysis suggests that environmental coordination regulations and green transition guidance can encourage risk-taking behavior among polluting firms. These findings offer empirical evidence from the perspective of polluting firms, providing valuable insights into addressing the sustainability dilemma. Full article

Driven by growing demands for environmental protection and sustainable development, green finance has gained increasing attention, evolving from a peripheral topic to a core research area. Research in green finance primarily focuses on financial products, services, and policies, analyzing their impacts on society, markets, and listed companies. Through a systematic literature screening and analysis process, this study reviewed the existing body of literature on green finance, with a particular emphasis on key areas such as green financing, green financial technology, green financial products and derivatives, green building, financial reform and innovation in green finance, and carbon trading markets. Using keywords such as “green finance”, “green insurance”, “green securities”, and “green investment”, we identified 15,487 relevant publications from 2014 to 2023 across multiple databases. We then applied Latent Semantic Indexing (LSI) to cluster these documents, identifying core subfields and conducting a detailed bibliometric analysis. Our results reveal a geographic shift in green finance research prominence from the U.S. to China, with a thematic shift from green building and energy efficiency to green bonds and climate finance. Through our analysis, we provide policy recommendations informed by these findings. This study’s unique contribution lies in its systematic extension of bibliometric analysis into emerging subfields of green finance, such as green financial technology and carbon trading markets, both of which are becoming increasingly critical. Additionally, this study offers valuable insights into the evolving landscape of green finance research, bridging the gap between academic research and industry practice and providing actionable policy recommendations for stakeholders across different sectors. Full article

As China strives for carbon neutrality, the transition to digital energy systems presents both significant opportunities and formidable challenges. This study investigates the key barriers hindering this transition and the urgent need for effective strategies to address them, raising the critical research question: What are the main obstacles to digital energy adoption in China, and how can these challenges be overcome? In this study, the fuzzy AHP method has been utilized to prioritize barriers and fuzzy WASPAS to evaluate the strategies. Using fuzzy AHP, we found that stakeholder and governance barriers are the most critical, emphasizing issues like misalignment among stakeholders and governance challenges. Following this, financial constraints and technological limitations emerged as other significant barriers, highlighting the need for improved financing mechanisms and robust infrastructure. Through fuzzy WASPAS analysis, the top strategies identified are enhancing public awareness and capacity-building programs, strengthening governance and anti-corruption measures, and increasing investment in green finance. The results emphasize the importance of tackling governance and financial issues alongside technological advancements. Policy implications and recommendations are provided to guide China’s digital energy transition, with suggestions for future research focused on broader regional comparisons and the integration of emerging technologies. Full article