Ecological Transition Research Articles

The Meloni government and the challenge of ecological transition

ABSTRACT During 2023, the Meloni government had to face the difficult management of the emergencies caused by the calamitous events that hit Emilia Romagna and Tuscany, which brought the long-lasting issue of hydrogeological instability back onto the public agenda. More generally, in the environmental and land protection fields, the government inherited the implementation of the measures associated with the strategic axis of the Ecological Transition, contained in the National Recovery and Resilience Plan (PNRR). However, the position of the government and that of the parliamentary majority not always fitted with the contents of the existing programming, nor with the policies promoted by the European institutions. By adopting a qualitative approach and combining original and secondary sources, in this work we will analyse the actions undertaken by the Meloni government in the environmental field in light of the “responsiveness-responsibility dilemma”. Particular attention will be paid to the points in continuity and to the breaks with the legacies of the past. The analysis shows how the government has progressively deviated from consolidated policy directions and planning, favouring the responsiveness pole to the detriment of responsibility.

Carbon neutrality in wastewater treatment plants: An integrated biotechnological-based solution for nutrients recovery, odour abatement and CO2 conversion in alternative energy drivers

Wastewater treatment plants play a crucial role in water security and sanitation, ensuring ecosystems balance and avoiding significant negative effects on humans and environment. However, they determine also negative pressures, including greenhouse gas and odourous emissions, which should be minimized to mitigate climate changes besides avoiding complaints. The research has been focused on the validation of an innovative integrated biological system for the sustainable treatment of complex gaseous emissions from wastewater treatment plants. The proposed system consists of a moving bed biofilm reactor coupled with an algal photobioreactor, with the dual objective of: i) reducing the inlet concentration of the odourous contaminants (in this case, hydrogen sulphide, toluene and p-xylene); ii) capturing and converting the carbon dioxide emissions produced by the degradation process into exploitable algal biomass. The first reactor promoted the degradation of chemical compounds up to 99.57% for an inlet load (IL) of 22.97 g m−3 d−1 while the second allowed the capture of the CO2 resulting from the degradation of gaseous compounds, with biofixation rate up to 81.55%. The absorbed CO2 was converted in valuable feedstocks, with a maximum algal biomass productivity in aPBR of 0.22 g L−1 d−1. Dairy wastewater has been used as alternative nutrient source for both reactors, with a view of reusing wastewater while cultivating biomass, framing the proposed technology in a context of a biorefinery within a circular economy perspective. The biomass produced in the algal photobioreactor was indeed characterized by a high lipid content, with a maximum percentage of lipids per dry weight biomass of 35%. The biomass can therefore be exploited for the production of alternative and clean energy carrier. The proposed biotechnology represents an effective tool for shifiting the conventional plants in carbon neutral platform for implementing principles of ecological transition while achieving high levels of environmental protection.

A Review on Machine/Deep Learning Techniques Applied to Building Energy Simulation, Optimization and Management

Given the climate change in recent decades and the ever-increasing energy consumption in the building sector, research is widely focused on the green revolution and ecological transition of buildings. In this regard, artificial intelligence can be a precious tool to simulate and optimize building energy performance, as shown by a plethora of recent studies. Accordingly, this paper provides a review of more than 70 articles from recent years, i.e., mostly from 2018 to 2023, about the applications of machine/deep learning (ML/DL) in forecasting the energy performance of buildings and their simulation/control/optimization. This review was conducted using the SCOPUS database with the keywords “buildings”, “energy”, “machine learning” and “deep learning” and by selecting recent papers addressing the following applications: energy design/retrofit optimization, prediction, control/management of heating/cooling systems and of renewable source systems, and/or fault detection. Notably, this paper discusses the main differences between ML and DL techniques, showing examples of their use in building energy simulation/control/optimization. The main aim is to group the most frequent ML/DL techniques used in the field of building energy performance, highlighting the potentiality and limitations of each one, both fundamental aspects for future studies. The ML approaches considered are decision trees/random forest, naive Bayes, support vector machines, the Kriging method and artificial neural networks. The DL techniques investigated are convolutional and recursive neural networks, long short-term memory and gated recurrent units. Firstly, various ML/DL techniques are explained and divided based on their methodology. Secondly, grouping by the aforementioned applications occurs. It emerges that ML is mostly used in energy efficiency issues while DL in the management of renewable source systems.

Ecological transition for the gas mixtures of the MRPC cosmic ray telescopes of the EEE Project

The Extreme Energy Events (EEE) Collaboration is fully involved in an ecological transition. The use of the standard gas mixture, C2H2F4 + SF6, has stopped in favor of an alternative green mixture based on C3H2F4 with the addition of He or CO2.The choise of these new mixtures is motivated by the significant lower Global Warming Potential (GWP) to reduce the emission of gases potentially contributing to the greenhouse effect.The EEE experiment consists of 61 muon telescopes based on Multigap Resistive Plate Chambers (MRPCs), each telescope composed of 3 chambers filled with gas.Several EEE detectors are today completely fluxed with the new ecological mixture. This contribution will report recent results about the telescope performance obtained from studies with the eco-friendly alternative mixture carried out in the last years.

Environmental Taxation and the Circular Economy: What Are the Prospects in the European Context?

Abstract The transition from a linear economy model to a circular economy system heralds great opportunities: on the one hand, because by smoothing out diseconomies and reducing waste, it can favour the ecological transition and steer production in the direction of sustainability and respect for the environment; on the other, because by offering economic operators the opportunity to become more competitive and to achieve considerable advantages, it can create jobs and facilitate integration and innovation at a social and an industrial level. To this end, a dimension of environmentally targeted taxation can only assume importance, characterized by the metamorphosis from a linear taxation system to a circular taxation paradigm: the former, dominated by the principle of fiscal neutrality, loses sight of non-tax purposes to attach importance only to those of revenue, too often ending up financing expenditure for expenditure and therefore even waste; the latter, through the taxation of waste and the use of tax eco-incentives, favours reuse and recycling, fully implementing the paradigm of the circular economy. In this perspective, through the preparation of a virtuous model and the elaboration of an agenda for future European growth centred on radical changes in production and consumption processes, the circular economy system can be fully implemented, promoting sustainable development and the efficient allocation of resources.

Multiple Ecological Axes Drive Molecular Evolution of Cone Opsins in Beloniform Fishes.

Ecological and evolutionary transitions offer an excellent opportunity to examine the molecular basis of adaptation. Fishes of the order Beloniformes include needlefishes, flyingfishes, halfbeaks, and allies, and comprise over 200 species occupying a wide array of habitats-from the marine epipelagic zone to tropical rainforest rivers. These fishes also exhibit a diversity of diets, including piscivory, herbivory, and zooplanktivory. We investigated how diet and habitat affected the molecular evolution of cone opsins, which play a key role in bright light and colour vision and are tightly linked to ecology and life history. We analyzed a targeted-capture dataset to reconstruct the evolutionary history of beloniforms and assemble cone opsin sequences. We implemented codon-based clade models of evolution to examine how molecular evolution was affected by habitat and diet. We found high levels of positive selection in medium- and long-wavelength beloniform opsins, with piscivores showing increased positive selection in medium-wavelength opsins and zooplanktivores showing increased positive selection in long-wavelength opsins. In contrast, short-wavelength opsins showed purifying selection. While marine/freshwater habitat transitions have an effect on opsin molecular evolution, we found that diet plays a more important role. Our study suggests that evolutionary transitions along ecological axes produce complex adaptive interactions that affect patterns of selection on genes that underlie vision.

Lineage-specific evolution of Aquibium, a close relative of Mesorhizobium, during habitat adaptation.

The novel genus Aquibium that lacks nitrogenase was recently reclassified from the Mesorhizobium genus. The genomes of Aquibium species isolated from water were smaller and had higher GC contents than those of Mesorhizobium species. Six Mesorhizobium species lacking nitrogenase were found to exhibit low similarity in the average nucleotide identity values to the other 24 Mesorhizobium species. Therefore, they were classified as the non-N2-fixing Mesorhizobium lineage (N-ML), an evolutionary intermediate species. The results of our phylogenomic analyses and the loss of Rhizobiales-specific fur/mur indicated that Mesorhizobium species may have evolved from Aquibium species through an ecological transition. Halotolerant and alkali-resistant Aquibium and Mesorhizobium microcysteis belonging to N-ML possessed many tripartite ATP-independent periplasmic transporter and sodium/proton antiporter subunits composed of seven genes (mrpABCDEFG). These genes were not present in the N2-fixing Mesorhizobium lineage (ML), suggesting that genes acquired for adaptation to highly saline and alkaline environments were lost during the evolution of ML as the habitat changed to soil. Land-to-water habitat changes in Aquibium species, close relatives of Mesorhizobium species, could have influenced their genomic evolution by the gain and loss of genes. Our study indicated that lineage-specific evolution could have played a significant role in shaping their genome architecture and conferring their ability to thrive in different habitats.IMPORTANCEPhylogenetic analyses revealed that the Aquibium lineage (AL) and non-N2-fixing Mesorhizobium lineage (N-ML) were monophyletically grouped into distinct clusters separate from the N2-fixing Mesorhizobium lineage (ML). The N-ML, an evolutionary intermediate species having characteristics of both ancestral and descendant species, could provide a genomic snapshot of the genetic changes that occur during adaptation. Genomic analyses of AL, N-ML, and ML revealed that changes in the levels of genes related to transporters, chemotaxis, and nitrogen fixation likely reflect adaptations to different environmental conditions. Our study sheds light on the complex and dynamic nature of the evolution of rhizobia in response to changes in their environment and highlights the crucial role of genomic analysis in understanding these processes.

A Master’s Course Can Emphasize Circular Economy in Municipal Solid Waste Management: Evidence from the University of Pisa

Municipal solid waste (MSW) represents a significant global threat, which has to be managed by a model of production and consumption involving the sharing, leasing, reusing, repairing, refurbishing, and recycling of existing materials and products for as long as possible, otherwise known as a circular economy (CE). However, there is not a universal rule for waste recycling strategies, and it has been demonstrated that active public participation is crucial in the satisfactory management of waste. In this context, citizen participation and education are two interrelated approaches, which can help to engage and inform people regarding waste and its wider impact. The present study describes the development of an interdisciplinary hackathon (hackathons are events whereby individuals from different backgrounds are brought together to work on the solutions to different problems), targeted to students of a postgraduate Master’s course on Sustainable Development and Climate Change in order to develop and understand the MSW problems and priorities currently being targeted, with the aim to propose new potential solutions for MSW reduction, reuse, and recycling. Following an empirical approach, four working groups were established and assigned the following specific tasks: (i) communication/citizen education on MSW; (ii) the reduction of MSW production; (iii) innovative solutions to recover and enhance secondary raw materials deriving from MSW processing; and (iv) the eco-design of the cities of the future concerning CE principles applied to MSW recycling. Overall, the following main findings were derived from the hackathon event: (i) an essential objective of the CE strategy is to drive Europe’s internal market towards the production and consumption of more sustainable products, thus reducing environmental and social pressures, while still retaining value; (ii) the most effective ways of tackling environmental problems are to ‘change the way we consume’, as well as to ‘change the way we produce and trade’, with the responsibility shared between businesses, governments, and the EU, as well as the citizens themselves. In this scenario, research and innovation play a key role in driving the necessary systemic changes to reach climate neutrality and ensure an inclusive ecological and economic transition. Overall, the present study confirms how the hackathon represents an effective tool to engage citizens in participation and education.

Ecological transition in a monetary economy of production: a heterodox approach

The global warming challenge is probably the major issue of our epoch, calling for a concerted response involving as many entities as possible. The economic system being the main responsible of this troubling situation, it is logical to address it first. The actual monetary economy of production has the banking system as the main driver of its functioning which justifies putting our attention on it. Central banks play a prominent role in such a system. They thus dispose of a relevant room for maneuver, which constitutes one of the main topics addressed here. Before that, this article discusses environmental concerns in a monetary production economy, advocating for an ecological economics approach as our privileged analytical foundation and highlighting the seminal role of the banking system in the monetary essence of our economic system, thus calling for an effort to enrich current monetary policy practices which must depart from the myth of ‘market neutrality’. We therefore propose four axes of intervention with regard to the greening of central banks’ action, which aim at redirecting credit away from carbon-intensive activities and towards low-carbon economic sectors. As needed as it is, adjusting monetary policy would however not suffice, the actual climate crisis being enrooted within the economic growth mantra applied through a profit-seeking scheme. A questioning of the very basis of our economic system is thus required to make the economy sustainable and finally safeguarding the conditions of life on earth.

The survival of multi-drug resistant bacteria on raw Douglas fir material

In today’s age of ecological transition, the use of materials such as renewable wood in construction is particularly relevant, but also a challenge in the healthcare sector where the hygiene dimension also comes into play. In this study we have investigated the survival of multi-resistant bacteria commonly responsible for healthcare-associated infections (HAIs) (ESBL-positive Klebsiella pneumoniae and glycopeptide-resistant Enterococcus faecalis) on two different types of wood (Douglas fir : Pseudotsuga menziesii and Maritime Pine : Pinus pinaster) compared to other materials (smooth: stainless steel and rough: pumice stone) and the effect of a disinfection protocol on the bacterial survival on Pseudotsuga menziesii. Approximately 108 bacteria were inoculated on each material and bacterial survival was observed over several days (D0, D1, D2, D3, D6, D7 and D15). Each analysis was performed in triplicate for each time and material. The results show an important reduction of the bacterial inoculum for Klebsiella pneumoniae and Enterococcus faecalis on Douglas fir, in contrast with the results obtained on maritime pine, stainless steel and pumice stone. No bacterial survival was detected on Douglas fir after application of a hospital disinfection protocol. These different results show that wood may have a place in the future of healthcare construction. Further studies would be interesting to better understand the different properties of wood.

AI Applied to the Circular Economy: An Approach in the Wastewater Sector

Water is one of the most basic and essential resources for life and is also a strategic component for the development of the economies of the different countries of the planet. The water sector in the context of ecological transition and the circular economy has enormous economic potential. However, the water resources present in a territory are, in many cases, very limited, and their availability is increasingly restricted. In this respect, current technologies make it possible to generate a whole range of renewable resources. In the case of wastewater treatment plants, in addition to obtaining clean water in sufficient quantity and quality, it is possible to take advantage of multiple other resources generated in the purification processes, such as fertilizers, biogas, bioplastics, and glass, and even recover adsorbents such as enzymes and proteins from wastewater. These resources represent a valuable social, environmental, and economic contribution. The scarcity of some of these resources causes continuous increases in market prices, generating economic tensions between producers and potential users. This work proposes to guide the potential of artificial intelligence (AI)-based methodologies in aspects related to the supply and demand of the resources generated in these infrastructures. Specifically, the use of machine learning (ML) allows for projecting economic scenarios based on multiple variables, such as the quality and quantity of the treated flows, the resources generated in the infrastructures, the current demands, and the prices of substitute goods. This aspect represents a substantial advance in terms of the circular economy since, beyond the technical aspects related to the processes, it ensures a sustainable balance between potential producers and end users. In conclusion, it brings sustainability to the urban water-cycle sector, ensuring the viability of the resources generated.

Driving the Ecological Transition of Agriculture through Voluntary Certification of Environmental Impacts: An Exploratory Literature Review on the Olive-Oil Sector

Human population growth has resulted in increased food consumption, followed by agrifood production intensification. Human activities have a significant impact on the environment, causing, among other things, air and water pollution and biodiversity degradation. In an international context where there is strong concern about environmental issues, it is also necessary to direct food production towards more sustainable models. In this context, the use of frameworks for certifying the environmental footprint of agrifood products can be a lever to promote sustainable production and consumption. The objective of this paper is to explore the opportunities for certifying the environmental footprint of products, focusing in particular on some of the main environmental claims: global warming, water depletion, and biodiversity loss. The olive sector was selected as a case study since it is the major tree crop in the Mediterranean countries, and it has strong impacts on human health and the environment. We employed a literature review in the SCOPUS database and the knowledge of experts in the main environmental certification sectors. The study revealed the possibility of adopting various mitigation strategies and improving environmental performance, while also pursuing certain market objectives related to certified products.

Geospatial modelling of dry season habitats of the malaria vector, Anopheles funestus, in south-eastern Tanzania

BackgroundAnopheles funestus is a major malaria vector in Eastern and Southern Africa and is currently the dominant malaria-transmitting vector in many parts of Tanzania. Previous research has identified its preference for specific aquatic habitats, especially those that persist in dry months. This observation suggests the potential for targeted control through precise habitat mapping and characterization. In this study, we investigated the influence of habitat characteristics, land cover and human population densities on An. funestus distribution during dry seasons. Based on the results, we developed a habitat suitability model for this vector species in south-eastern Tanzania.MethodsEighteen villages in south-eastern Tanzania were surveyed during the dry season from September-December 2021. Water bodies were systematically inspected for mosquito larvae and characterized by their physico-chemical characteristics and surrounding environmental features. A generalized linear model was used to assess the presence of An. funestus larvae as a function of the physico-chemical characteristics, land use and human population densities. The results obtained from this model were used to generate spatially explicit predictions of habitat suitability in the study districts.ResultsOf the 1466 aquatic habitats surveyed, 440 were positive for An. funestus, with river streams having the highest positivity (74%; n = 322) followed by ground pools (15%; n = 67). The final model had an 83% accuracy in predicting positive An. funestus habitats, with the most important characteristics being permanent waters, clear waters with or without vegetation or movement and shading over the habitats. There was also a positive association of An. funestus presence with forested areas and a negative association with built-up areas. Human population densities had no influence on An. funestus distribution.ConclusionsThe results of this study underscore the crucial role of both the specific habitat characteristics and key environmental factors, notably land cover, in the distribution of An. funestus. In this study area, An. funestus predominantly inhabits river streams and ground pools, with a preference for clear, perennial waters with shading. The strong positive association with more pristine environments with tree covers and the negative association with built-up areas underscore the importance of ecological transitions in vector distribution and malaria transmission risk. Such spatially explicit predictions could enable more precise interventions, particularly larval source management, to accelerate malaria control.Graphical

Scaling circular economy business models: A capability perspective

AbstractIn a context of growing environmental challenges, circular economy (CE) business models appear necessary for business to contribute positively to the ecological transition. While platform business models have been identified as a new and promising model in CE, we still lack a fine‐grained understanding of the critical capabilities involved in developing and scaling them. To fill this gap, we build on a single case study of Phenix, a French‐based fast‐growing start‐up in the food industry, tackling the issue of food waste. We identify three core managerial capabilities involved in the successful scaling of Phenix's business model. In addition to ecosystem orchestration capabilities, we identify two types of ambidextrous capabilities – forms of ambidexterity operating both at the organizational and at the institutional level. Our analysis highlights the importance of considering these capabilities in a bundle as they collectively contribute to the performance and scaling potential of the business model. We also call for an increased consideration of the role of institutional factors in shaping opportunities to design and scale profitable business models.

Three tales of central banking and financial supervision for the ecological transition

AbstractThe academic literature and policy discussions on the role that central banks and financial supervisors (CBFS) should play in the ecological transition, almost nonexistent five years ago, have since grown at an impressive pace. This has resulted in a wide range of proposals that often generate debates and even misunderstandings, for lack of a coherent analytical framework. Against this backdrop, this article provides a comprehensive overview of the different theoretical backgrounds and worldviews that inform existing proposals, and discusses the challenges and debates they generate when assessed from other perspectives. We identify three main approaches, or three “tales” of central banking and financial supervision in the face of ecological threats: (i) one that argues that CBFS should focus on assessing the (so‐called “physical” and “transition”) risks that environmental issues pose to price and/or financial stability; (ii) one that places great emphasis on the ability of CBFS to help trigger systemic change, and thereby promotes proactive actions by CBFS to steer financial markets toward greening their activity beyond a risk‐based approach; (iii) one that sees CBFS transformation as necessary but part of broader institutional change that they cannot deliver on their own, thereby requiring an evolutionary perspective. Through this comprehensive literature review, this article seeks to provide a coherent framework through which future academic contributions and policy proposals can be better understood and assessed.This article is categorized under: Climate Economics > Economics and Climate Change Climate Economics > Economics of Mitigation

Multifaceted nature of young-onset diabetes - can genomic medicine improve the precision of diagnosis and management?

Young-onset type 2 diabetes (YOD), defined as diabetes diagnosis before age 40, has an aggressive clinical course with premature mortality, in part due to long disease duration and lack of evidence to guide diagnosis and management. Autoimmune type 1 diabetes, maturity-onset diabetes of the young (MODY), and latent autoimmune diabetes in adults (LADA) are subtypes of diabetes in young people, which, however, cannot fully explain their complex clinical course. Similarly, family members carrying the same rare genetic variant of monogenic diabetes can have different presentations and outcomes. Ancestral heterogeneity, ecological transition, inter-ethnic differences in genomic architecture, and variations in living environment, lifestyles, access to care, and timeliness of diagnosis and treatment can influence the age of diagnosis and exposure to these cardiometabolic-renal risk factors. Despite the wealth of literature on genetic associations with diabetes, the familial cosegregation of rare variants and their relevance to YOD remains uncertain. This perspective was motivated by decades of clinical observations and learnings from an ongoing randomized controlled trial that uses biogenetic markers to classify patients with YOD for improving outcomes. Apart from highlighting the need to use family-based studies to improve the precision of diagnosis, we discussed atypical causes for diabetic ketoacidosis and the importance of lifecourse and psychosocial-behavioral factors in patients with YOD. Apart from detailed clinical evaluation, we propose using plasma C peptide, homeostasis model of assessment (HOMA) indexes, autoantibodies, and polygenic risk scores to stratify risk, classify diabetes subtypes, and personalize treatment in YOD. To achieve these goals, we advocate changing the practice environment and team structure to enable physicians to use the insights they learn from patients and their family members to implement precision medicine and improve the outlook of these high-risk individuals.

Application of white wine lees for promoting lactic acid bacteria growth and malolactic fermentation in wine

In the context of ecological transition, the use of wine by-products for industrial applications is a major challenge. Wine lees, the second wine by-product in terms of quantity, represent a source of nutrients that can be used for stimulating the growth of microorganisms. Here, white wine lees were used as a stimulating agent for the growth of wine lactic acid bacteria (LAB) and to promote wine malolactic fermentation (MLF) driven out by Oenococcus oeni. By adding freeze-dried wine lees to wines under different conditions – including different wine lees at different concentrations and different O. oeni strains at various initial populations - it was observed that wine lees can enhance the growth of LAB and reduce the duration of MLF. The chemical composition of wines was also evaluated, proving that wine lees do not compromise the quality of the wines. In addition, wine lees did not seem to promote the growth of spoilage microorganisms like as Brettanomyces bruxellensis. Altogether, this work reports the possibility of recovering the lees of white wine to obtain a product favoring the MLF of red wines. More general, we propose a recycling strategy of wine by-products to obtain new products for winemaking.

Usefulness of the Ordinal Logistic Biplot: Analysis of the Path Taken towards a Circular Primary Sector in Spain

Population growth and greater global interconnection require a profound transformation in how we produce, consume, and manage natural resources. In this sense, the circular transition of the agricultural and livestock sectors is vital to guarantee adequate production without compromising the availability of resources for future generations. In this work, we analyze the level of circular development of the primary sector in Spain using a sample of the 84 largest companies. We utilize the biplot analysis, multivariate graphic models that represent the joint distribution of four scores (constructed with sixteen ecological initiatives), and three financial and geographic variables. These techniques allow for visualization of the status and the relationships between all of them. We evidence an important degree of progress in initiatives associated with the use of non-polluting energy, eco-design, eco-innovation, management, and care of ecosystems. We also observe that the current transition towards a circular primary sector is strongly associated with firms’ capital investments and long-term innovations. On the other hand, the actions aimed at protecting water resources are in an intermediate state of progress, being necessary to invest in additional friendly water initiatives. In this vein, it is advisable to promote public policies focused on promoting the ecological transition of this sector and the research that advances efficient water management.

Integrating role of green buildings in achieving carbon neutrality in an era of climate emergency

AbstractThe Intergovernmental Panel on Climate Change recently stated that a swift ecological transition in transport, energy, and construction is required to reach the global emission reduction target. Around 40% of global emissions come from residential and commercial buildings. Therefore, this study developed a green building adoption model based on the Unified Theory of Acceptance and Use of Technology, which encourages firms to implement these novel green building technologies. For this, a survey of 333 respondents from Pakistani construction firms was conducted, and Partial Least Square Structural Equation Modeling approach was applied to validate the study's hypotheses. The findings showed that green building adoption provided invaluable insight by showing the strong associations between green building environmental concern, green building performance expectancy, green building effort expectancy, green building social influence, and green building innovation cost with green building behavioral intentions. Likewise, the findings also showed that green building behavioral intentions play a significant mediating role between the adoption of green buildings and its factors. The findings from this study suggest that intentions to engage in green building activities have a strong direct and mediating effect on green building adoption. Furthermore, the moderating effect of firm size demonstrated the significant differences between small, medium, and large firms size. Based on the study’ findings, the green building adoption model provided novel insights for governments and concerned stakeholders, including construction firms, to adopt green buildings for carbon neutrality in this era of climate emergency.

Attitudes towards natural wines among Spanish winemakers: Relationship with environmental awareness

There is an important movement in the wine industry towards the production of alternative and more sustainable wines. Natural wine (NW) is a controversial category of alternative wines, which needs to be further explored. Given the role of technical experts as opinion leaders, the present work aims to explore the attitudes of Spanish winemakers towards NW and their relationship with their overall environmental awareness. Therefore, 307 Spanish winemakers completed a questionnaire to evaluate: (1) their attitudes towards NW by scoring their agreement with 31 statements, (2) their ecological awareness by evaluating 11 items, (3) their frequency of consumption and interest towards NW, and (4) their sociodemographic profile and general information about wine production. PCA with varimax rotation calculated on 28 of the 31 statements related to their attitudes showed six independent dimensions. Further hierarchical cluster analysis calculated with the six dimensions showed five clusters of wine experts with different attitudes towards NW. Results show that there is a major negative attitude towards the flavour of NW, their ageing capacity and their quality-price ratio, but a positive one in terms of economic impact for the wine industry. Aspects related to the role of NW in tradition, social identity, ecology, health, artisanal production and economic feasibility mark differential attitudes. Interestingly, the dimension related to winemakerś attitude towards tradition, social identity, and ecology of NW was positively correlated with their overall ecological awareness and thus their life style. This paper sheds light in the understanding of the behaviour of Spanish winemakers regarding ecological transition and provides tools for policymaking regarding NW certification.