Search Results (132)

The distortion of energy prices has become an important obstacle to the high-quality development of China’s economy. Moreover, energy price distortions are not merely a domestic issue. They may trigger carbon leakage by diverting emissions-intensive production to countries with cheaper energy. Although the existing literature has extensively examined the effects of energy price distortions, two significant research gaps remain. First, most studies treat energy price distortions merely as an influencing factor, lacking a systematic analysis that places it at the core. Second, the spatial correlation characteristics of energy price distortions are often overlooked. This study measures the degree of energy price distortions across Chinese provinces from 2000 to 2022 and employs methods such as the Global Moran’s I, Local Moran’s I, and kernel density estimation to systematically analyze the spatial correlation, spatial distribution of coordination indices, and dynamic evolution patterns of these distortions. The results reveal that: (1) the overall degree of energy price distortions in China exhibited a trend of rising first and then declining, with significant regional disparities; (2) the regional gap followed an “expansion-contraction” trajectory; (3) there is notable spatial autocorrelation, with high-distortion areas concentrated in Northeast China, the middle reaches of the Yellow River, and Northwest China; and (4) the dynamic evolution suggests that distortion levels in high- and medium-value regions may continue to decline, while those in low-value regions may increase. This study fills a critical gap in the systematic spatial analysis of energy price distortions and provides new empirical evidence and policy insights for advancing market-oriented reforms in energy markets. Full article

The increasing prevalence of extreme weather events poses significant challenges to the stability of distribution networks (DNs). To enhance the resilience of DNs against such events, a typhoon-oriented resilience framework for DNs is proposed that incorporates multiple sources of typhoon uncertainty. First, component failure probability is modeled by tracking time-sequential variations in typhoon landfall parameters, trajectory, and intensity, thereby improving the quantitative estimation of typhoon impacts. Then, the integrated component failure probability and the importance factor of bus load under disaster are combined and hierarchical analysis is performed to achieve the vulnerability identification for DNs. Next, based on the vulnerability identification results, a resilience enhancement model for DNs is constructed through the strategy of coordinating line reinforcement and energy storage configuration, and the resilience optimization scheme that takes into account the system resilience enhancement effect and economy is obtained under the optimal investment cost. Finally, analysis and verification are conducted in the IEEE 33-bus system. The results indicate that the proposed method can reduce the load loss cost of the system by 5.112 million and 0.2459 million, respectively. Full article

Microorganisms metabolising low-value carbon sources can produce a diverse range of bio-based and biodegradable materials compatible with circular economy principles. One such material is bacterial cellulose (BC), which can be obtained in high purity through the fermentation of sweetened tea by a Symbiotic Culture of Bacteria and Yeast (SCOBY). In recent years, there has been a growing research interest in SCOBYs as a promising solution for sustainable material design. In this work, we have explored a novel method to grow SCOBYs vertically using a waste-based scaffold system. Waste sheep wool and cotton fabric were soaked in a SCOBY infusion to serve as scaffolds, carrying the infusion and facilitating vertical growth through capillary forces. Remarkably, vertical membrane growth up to 5 cm above the liquid–air interface (LAI) was observed after just one week. Membranes with different microstructures were found in sheep wool and cotton, randomly oriented between the scaffold fibre, resulting in a high surface area. This study demonstrated that vertical growth in scaffolds is possible, proving the concept of a new method of growing composite materials with potential high-value applications in biomedicine, energy storage, or filtration. Full article

This study builds a bridge between the advancements from prospective life cycle assessments (pLCAs) and dynamic life cycle assessments (dLCAs) to improve the evaluation of circular economy (CE) strategies for long-lived products such as energy technologies. Based on a literature review of recent developments from pLCA and dLCA, an extended LCA methodology is proposed that provides guidance in the consideration and integration of technological and market dynamics across all major LCA steps of a dLCA, whose flows and impacts extend over a long period of time. This ensures a more accurate assessment of the impacts on global warming over time by explicitly incorporating temporal differentiation into goals and scopes, life cycle inventories, and interpretations. The methodology was applied to compare two CE measures for wind turbines: full repowering, including material recycling, and partial repowering. The analysis revealed that full repowering is the environmentally preferable option from the perspective of global warming potential, as the higher electricity output offsets the emissions associated with decommissioning and new construction. The findings were robust under various assumptions on future technological advancements, the underlying decarbonization scenario aligned with the Paris Agreement, and the application of discounting of future emissions. Ultimately, this work provides a practical yet adaptable approach for integrating future-oriented LCA methods into decision-making for more sustainable infrastructure and machinery. Full article

Over 85% of buildings in the European Union were constructed before 2001, contributing to energy inefficiencies, material waste, and increasing socio-economic disparities. While deep energy renovations (DER) are critical to EU climate goals, their implementation remains hindered by financial, regulatory, and social barriers. Integrating circular economy (CE) principles into DER offers a pathway to enhance resource efficiency and sustainability yet requires a systemic understanding of feedback dynamics. This study applies a systems-thinking approach to examine the interdependencies influencing CE-DER implementation. Five thematic clusters—technical enablers, economic and policy barriers, social sustainability factors, environmental considerations, and digitalization for climate resilience—are identified, informing the development of causal loop diagrams (CLDs). The CLDs reveal key reinforcing loops such as innovation investment, policy learning, stakeholder co-design, operational efficiency, and balancing loops, including certification bottlenecks, financial fragmentation, and digital resistance. The findings suggest that CE-DER success relies on activating reinforcing dynamics while addressing systemic constraints through coordinated financial incentives, ethical digitalization, and inclusive governance. By visualizing interdependencies across technical, social, and policy domains, the feedback-oriented framework developed provides actionable insights for advancing socially equitable, resource-efficient, and climate-resilient renovation strategies. Full article

This study conducts a bibliometric and content analysis based on publications indexed in the Web of Science Core Collection, aiming to map the evolution and key themes in horticultural research in the context of technological innovation and sustainability. The results reveal a strong orientation toward digitalization and automation, particularly through the integration of artificial intelligence, mechatronic systems, and sensor-based monitoring in crop management. In the field of biotechnology, keywords such as gene expression, genetic diversity, and micropropagation reflect a sustained research interest in improving crop resilience and disease resistance through genetic and in vitro propagation techniques. Furthermore, concepts such as environmental control, soilless culture, energy efficiency, and co-generation highlight the focus on optimizing growing conditions and integrating renewable energy sources into protected horticultural systems. The geographical distribution of studies highlights increased academic output in countries like India and regions of sub-Saharan Africa, reflecting a global interest in transferring advanced technologies to vulnerable areas. Moreover, collaboration networks are dominated by leading institutions such as Wageningen University, which act as hubs for knowledge diffusion. The findings suggest that future research should prioritize the development of durable, energy-efficient horticultural technologies adapted to various agro-climatic zones. It is recommended that policymakers and stakeholders support interdisciplinary research initiatives, promote knowledge transfer mechanisms, and ensure equitable access to innovation for smallholder farmers and emerging economies. Full article

In the increasingly severe situation of global climate change, reducing CO₂ emissions has become the consensus of governments. Grounded in the principle of consumer responsibility, policymakers are increasingly focusing on the cross-regional transfer of carbon emissions to delineate responsibilities more clearly. Evaluating embodied carbon emissions ($ECs$) in goods and services and forecasting transfer pathways is essential for driving the energy transition and devising effective carbon-reduction strategies. This study summarizes the evolutionary characteristics of the global $EC$-transfer network from 2013 to 2022 and analyzes the underlying causes. Further, a link prediction model incorporating both endogenous and exogenous factors is developed to investigate potential $EC$-transfer pathways. The findings reveal the following: (1) Since 2013, China, Russia, and India have dominated net $EC$ out-strength, accounting for over 70% of total $EC$-transfer strength, primarily directed towards the European Union (EU) and the United States (USA). (2) The analysis of net $EC$ out-intensity and in-intensity indicates that countries like Russia and South Africa have more carbon-emitting export-oriented industries in their economic structure and should transfer the corresponding carbon-emission responsibility to downstream consuming countries. Countries like Mexico and Switzerland, due to their reliance on importing $EC$-intensive products, should assume the corresponding carbon-emission responsibility. (3) Economies such as Germany, China, the USA, and France, characterized by high $EC$-transfer efficiency, serve as key drivers for the implementation of global emission-reduction strategies. (4) The link prediction based on the proposed hybrid similarity indicator has the highest accuracy. The results reveal a higher probability of forming stable links between net $EC$ importers, and between net $EC$ importers and exporters. This study enhances policymakers’ understanding of international trade and $EC$ management, and facilitates the development of long-term strategies for cross-national collaborative emission reduction. Full article

This research examines how sustainability driven innovation and performance factors influence Nepali tourism-oriented small and medium enterprises (SMEs) operating with limited resources. It investigates the relationships between entrepreneurial leadership (EL), network orientation (NO), and entrepreneurial orientation (EO) by integrating the Resource-Based View (RBV) and Strategic Fit Theory. The study positions strategic flexibility (SF) as a moderator between EL and NO in shaping startup performance (SP), with technological innovation capabilities (TIC) acting as a mediator. EO plays a critical role in startup success, helping businesses overcome resource constraints and adopt sustainable practices such as green technologies and energy-saving methods. Through TIC, SMEs convert strategic orientations into competitive advantages, enabling them to address environmental and social sustainability challenges. In Nepal’s fragmented tourism sector, NO and EL do not directly affect organizational performance. However, the findings confirm that SF’s adaptive capability bridges EL and SP, underscoring adaptability as a key driver of sustainable growth. The research provides valuable insights into tourism and entrepreneurship in resource-scarce settings, highlighting adaptive strategies and technological advancement as critical for resilience and long-term sustainability. To explain how tourism SMEs in resource-constrained contexts, such as Nepal, achieve sustainable growth, the study integrates the Resource-Based View (RBV) and Strategic Fit Theory. The findings indicate that strategic flexibility (SF) and technological innovation capabilities (TIC) play significant mediating and moderating roles in linking entrepreneurial strategies to performance within fragile ecosystems. While previous research has primarily focused on advanced economies, this study demonstrates how SF and TIC mediate entrepreneurial strategies in fragile environments, offering practical implications for sustainable development in emerging markets. Full article

An increasing trend towards the installation of photovoltaic (PV) solar energy generation capacity is driven by several factors including the desire for greater energy independence and, especially, the desire to decarbonize industrial economies. While large ‘solar farms’ can be installed in relatively open areas, urban environments also offer scope for significant energy generation, although the heterogeneous nature of the surface of the urban fabric complicates the task of forming an area-wide view of this potential. In this study, we investigate the potential offered by publicly available airborne LiDAR data, augmented using data from OpenStreetMap (OSM), to estimate rooftop PV generation capacities from individual buildings and regionalized across an entire small city. We focus on the island of Tromsøya in the city of Tromsø, Norway, which is located north (69.6° N) of the Arctic Circle, covers about 13.8 km², and has a population of approximately 42,800. A total of 16,377 buildings were analyzed. Local PV generation potential was estimated between 120 and 180 kWh m⁻² per year for suitable roof areas, with a total estimated generation potential of approximately 200 GWh per year, or approximately 30% of the city’s current total consumption. Regional averages within the city show significant variations in potential energy generation, highlighting the importance of roof orientation and building density, and suggesting that rooftop PV could play a much more substantial role in local energy supply than is commonly assumed at such high latitudes. The analysis method developed here is rapid, relatively simple, and easily adaptable to other locations. Full article

The textile manufacturing industry is energy- and water-intensive, and has a great impact on the environment. Sustainability-oriented innovation can support the transition of the textile sector towards a circular economy. This review investigates how the textile manufacturing chain can benefit from sustainability-driven innovation strategies to achieve the main circular economy goals. The review was conducted using the Scopus and Web of Science scientific databases, and it addresses material, process, and organizational innovations and covers the 2015–2024 time window. Five main areas of innovation emerged from the retrieved papers, including digitalization, the need for innovative product and process design and sustainable raw materials, the use of textile waste as new raw material outside the textile value chain, waste recovery within the value chain and environmental remediation, and organizational innovation. The innovative solutions analyzed improve the sustainability of the textile manufacturing industry and enable the achievement of circular economy goals. Finally, we discuss some concerns about the introduction of the suggested innovations, including the need to apply design principles for recyclability and durability while studying the feasibility of adopting novel materials. Full article

The dominant treatment process for removing heavy metals from industrial wastewater is chemical neutralisation precipitation using lime milk as a precipitation agent, resulting in a highly voluminous hydroxide sludge with a low heavy metal concentration. These sludges are predominantly landfilled, and the metals are lost to the circular economy. At the same time, metals are urgently needed as raw materials. A new approach is represented by the low-pressure, low-energy Specific Product-Oriented Precipitation process (SPOP). This approach, however, requires the adjustment of various reaction parameters for optimal operation. This study presents the impacts of the stirring rate during the reaction and the Fe concentration in the solution on the recovery of Cu from Cu-enriched electroplating wastewater. Three different recovery options are described: Option (1), the formation of CuO; Option (2), the generation of brochantite, a Cu-hydroxysulphate; and Option (3), the incorporation of Cu into ferrite. Tenorite (CuO) is precipitated at 40 °C reaction temperature at a low stirring rate of 100–200 rpm. At an accelerated stirring rate of 400–500 rpm, brochantite (Cu₄(OH)₆SO₄) is formed. With high Fe concentrations and a molar ratio of Cu:Fe of 1:2, Cu-ferrite (CuFe₂O₄) is the precipitation product. In any case, the achieved recovery rates in the treated wastewater are better than 99.9%. Full article

The number of high-rise residential buildings in China has a large base and rapid growth, with huge energy-saving potential. Most of the existing research focuses on the use of renewable energy to reduce energy consumption and optimize energy systems. When optimizing the renewable energy system configuration of residential buildings for solar-air source heat pump systems, the optimization algorithm and the setting of parameter ranges will have an impact on the optimization results. Therefore, to make up for the shortcomings of a single optimization process, this study proposes a joint solution based on simulations and multi-stage multi-objective optimization to improve the energy efficiency of the system and maximize economic benefits. This method was applied to perform energy consumption and economic optimization analyses for typical high-rise residential buildings in four cities in China (Shanghai, Nanjing, Wuhan, Chongqing) characterized by hot summers and cold winters. First, DeST software is used to model and calculate the building load. Then, TRNSYS software is used to establish a system simulation model. Next, the GenOpt program and the Hooke–Jeeves algorithm are used to perform the first stage of optimization with the lowest annual cost value as the objective function. Finally, MATLAB software and the NSGA-II algorithm are used to perform the second stage of optimization with the lowest annual cost value and the highest system energy efficiency ratio as the objective function, respectively. Moreover, the TOPSIS method is used to evaluate and sort the Pareto optimal solution sets to obtain the optimal decision solution. Overall, the two-stage optimization of the solar-air source heat pump system brings multiple benefits and a more significant improvement in overall performance compared to a single-stage optimization. In terms of energy utilization efficiency, the tilt and azimuth adjustments in the first stage allow the collectors to be better oriented towards the sun and to absorb solar energy more fully. This helps to improve the energy utilization efficiency of the system. For the economy of the system, the increase in the collector area and the reduction in the heat production of the air source heat pump in the second stage, as well as the increase in the volume of the water tank, have combined to reduce the operating costs of the system and improve its economy. Results demonstrate that the proposed two-stage optimization significantly improves the overall performance of the solar-air source heat pump system across all four cities, providing a robust framework for sustainable urban residential energy systems. This is a positive aspect for sustainability and environmental friendliness. Taken together, the two-stage optimization improves the performance of the system in a more comprehensive manner compared to the single-stage optimization. Full article

Background: Human population has been overexploiting natural resources for many decades. Consumerism drives a strong economy, but at the same time it degrades the environment. The solution is to turn it into sustainable development. In this study, our aim was to determine how the quest for sustainable consumption was perceived in the current scientific literature; Methods: A total of 712 papers from the Scopus, Web of Science, and PubMed databases were investigated. Descriptive statistics and VOSviewer (version 1.6.18.) and Wordcloud software were used for further analysis. The analysis involved investigating publication trends over time, engaged countries and funding agencies, co-authorships, document types, thematic categories, sustainable development goals orientation, and the most frequently occurring words. Results: Word clouds created in the WordArt program based on the titles and abstracts indicated “food” to be the most frequently occurring word. The content of the articles was analyzed based on three term clusters: (1) “food waste”, “waste”, “food security”; (2) “agriculture” and “vertical farming”; and (3) “energy”. Conclusions: Analyzed articles surpassed the European Union, indicating the global range of striving for sustainability. The co-occurrence of the following sustainable development goals (SDGs) was indicated in the study: no. 1 (“no poverty”), no. 2 (“zero hunger”), no. 3 (“good health and well-being”), no. 6 (“clean water and sanitation”), no. 7 (“affordable and clean energy”), no. 8 (“decent work and economic growth”), no. 9 (“industry, innovation and infrastructure”), no. 10 (“reduced inequalities”), no. 12 (“responsible production and consumption”), no. 13 (“climate action”), no. 14 (“life below water”), and no. 15 (“life on land”). Full article

The wood-based bioeconomy is one of the main pillars of sustainable transformation and decarbonisation of the economy, as it promotes the use of renewable resources, reduces reliance on fossil fuels, and supports the development of eco-friendly industries. The paper provides quantitative insight into the potential impacts of transformation of the wood-based bioeconomy in Slovenia, a small, export-oriented economy with ample, but sub-optimally used, forest resources. The analysis uses an input–output (I-O) model to estimate I-O multipliers of sectors representing the wood-based bioeconomy and to capture their direct and indirect impacts on the Slovenian economy. The baseline performance of the wood bioeconomy sectors and their potential to induce economic activity (Scenario A) are estimated with an adjusted I-O model (based on the national I-O table for 2015), in which hybrid sectors are divided into conventional and bio-based segments. Alternative transformation pathways are translated into four additional scenarios. While Scenario B foresees progress in efficiency and integration within the existing structure of transactions, Scenario C (increased energy use of wood biomass) and Scenarios D/D+ (technology- and capital-intensive restructuring) represent two extreme restructuring pathways of the sector. The results of scenario analysis with the I-O model show that the changes in the input requirement structure of the Slovenian wood-based bioeconomy could result in up to a 17% increase in total output, up to a 20% increase in the number of employees, and up to a 16% increase in incomes, all of them attributed to the most optimistic scenario (D+). The results of the study provide quantified assessments underpinning strategic planning for the wood-based bioeconomy, both in the industry and public policy spheres. Full article

Improving energy efficiency is a way for China’s economy to achieve sustainable development. Using data on listed industrial enterprises in China from 2000 to 2022, we investigate the impact of trade liberalization on the energy efficiency of Chinese firms and its mechanism of action at the micro-firm level. Our findings suggest that trade liberalization has greatly contributed to firms’ energy efficiency and the main conclusions in this paper still hold after a series of robustness tests. Further research shows that two channels that contribute to the improvement of firms’ energy efficiency are the expansion of the firm’s size and the improvement of production efficiency induced by trade liberalization. Another significant route according to which trade liberalization influences energy efficiency improvements by firms is the dynamic decomposition of industrial energy efficiency, which shows that 70.07% of industrial energy efficiency enhancement is due to structural adjustments. The heterogeneity analysis results show that the energy saving impact of trade liberalization is stronger for non-exporting, foreign-funded, growth-oriented enterprises that are based in the eastern region. Our study presents new ideas for the realization of energy conservation and emissions reduction from the perspective of trade liberalization, which is instructive in regard to the improvement of sustainable development of enterprises. Full article