Search Results (713)

A strategic fulcrum for leading high-quality economic development and shaping the nation’s future. Core competitiveness lies in how governments can effectively stimulate consumer demand for green consumption and motivate enterprises to pursue green technology innovation through the development of precise and efficient innovative regulation models. In this paper, a tripartite evolutionary game model is constructed based on evolutionary game theory, encompassing the government, enterprises, and consumers. We analyze the strategic interactions and evolutionary path among these three entities under conditions of bounded rationality and information asymmetry. The research reveals the following: (1) the government can effectively guide enterprises towards genuine green innovation through enhanced rewards for substantive innovation and increased penalties for strategic innovation; (2) consumer purchasing decisions are significantly shaped by economic benefits, perceived social value, and government subsidies, with their market choices forming a critical external supervisory force; and (3) government regulatory strategies are dynamically adjusted in response to market integrity levels and social welfare, with a tendency to implement innovative regulation when “greenwashing” risk is elevated. In conclusion, simulation analysis is conducted using MATLAB 2018a, and governance recommendations are offered based on three dimensions: precise government regulation, enhanced corporate responsibility, and enhanced consumer capabilities. These recommendations offer both a theoretical basis and a practical path for establishing an integrated green innovation governance system based on incentive constraint empowerment. Full article

Climate change is driving the need for forest management strategies that simultaneously enhance ecosystem resilience and contribute to climate change mitigation. Voluntary carbon markets (VCMs), regulated in the European Union by the Carbon Removal Certification Framework (CRCF), offer potential financial incentives for such management, but eligibility criteria—particularly biodiversity requirements—limit the applicability of certain species. This study assessed the ecological and economic outcomes of six alternative management scenarios for a 4.7 ha, 99-year-old Scots pine (Pinus sylvestris) stand in western Hungary, comparing them against a business-as-usual (BAU) regeneration baseline. Using field inventory data, species-specific yield tables, and the Forest Industry Carbon Model, we modelled living and dead biomass carbon stocks for 2025–2050 and calculated potential CO₂ credit generation. Economic evaluation employed total discounted contribution margin (TDCM) analyses under varying carbon credit prices (€0–150/tCO₂). Results showed that an extended rotation yielded the highest carbon sequestration (958 tCO₂ above BAU) and TDCM but was deemed operationally unfeasible due to declining stand health. Black locust (Robinia pseudoacacia) regeneration provided high mitigation potential (690 tCO₂) but was ineligible under CRCF rules. Grey poplar (Populus × canescens) regeneration emerged as the most viable option, balancing biodiversity compliance, climate adaptability, and economic return (TDCM = EUR 22,900 at €50/tCO₂). The findings underscore the importance of integrating ecological suitability, market regulations, and economic performance in planning carbon farming projects, and highlight that regulatory biodiversity safeguards can significantly shape feasible mitigation pathways. Full article

This study focuses on highway service areas. Building upon prior research that identified key influencing factors through surveys and ISM–MICMAC analysis, it constructs a tripartite evolutionary game model involving the government, service area operators, and carbon reduction technology providers based on stakeholder theory. Combined with MATLAB simulations, the model reveals the dynamic patterns of the carbon reduction system. The results indicate that government strategies exert the strongest influence on the system and catalyze the other two parties, followed by service area operators. Carbon reduction technology providers adopt a more cautious stance in decision-making. Government actions shape system evolution through a “cost-benefit-incentive” triple mechanism, with its strategies exhibiting significant spillover effects on other actors. Enterprise behavior is markedly influenced by Xinjiang’s regional characteristics, where the core barriers to corporate carbon reduction lie in the costs of proactive equipment and technological investments. The willingness of technology providers to cooperate primarily depends on two drivers: incremental baseline benefits and enhanced economies of scale. The core trade-off in government decision-making lies between the cost of strong regulation (Cg1) and the cost of environmental governance under weak regulation (Cg2). An increase in Cg1 prolongs the government’s convergence time by 233.3% and indirectly suppresses the willingness of enterprises and technology providers due to weakened subsidy capacity. Enterprises are relatively sensitive to the investment costs of carbon reduction equipment and technology, with convergence time extending by 120%. Technology providers are highly sensitive to incremental baseline returns (Rt), with stabilization time extending by 500%. Compared to existing research, this model quantitatively reveals the “cost-benefit-incentive” triple transmission mechanism for carbon reduction coordination in “grid-end” regions, identifying key parameters for strategic shifts among stakeholders. Based on this, corresponding policy recommendations are provided for all three parties, offering precise and actionable directions for the sustainable advancement of carbon reduction efforts in service areas. The research conclusions can provide a replicable collaborative framework for decarbonizing transportation infra-structure in grid-end regions with high clean energy endowments. Full article

The aviation industry requires a series of actions that will transform its current status, aiming for sustainable operations. Aviation’s end-of-life stream is a pivotal lever for circularity, yet current dismantling and recycling practices leave significant value unrealized. Circular Economy could be considered as a transformational approach to the aviation industry and address its environmental and economic challenges, meeting sustainability principles. This study conducts a PRISMA-guided qualitative systematic review across academic and industry sources to synthesize regulations, technologies, and economics of aircraft decommissioning. It aims to quantify material recovery potential and environmental gains at the aircraft level and assess technology readiness and cost drivers for metals, polymers, and composites. Findings indicate that optimized decommissioning enables high-value part reuse and substantial material recovery (notably aluminum), with associated lifecycle greenhouse-gas avoidance at the aircraft scale. However, high costs, weak regulations, and limited recycling technologies hinder adoption. Results show that optimized dismantling and certified part-reuse pathways can recover up to 85–90% of total aircraft mass, with potential CO₂-emission avoidance of 25–35 t per narrow-body aircraft compared with landfill disposal. Metal recycling technologies (TRL 8–9) already achieve high yields, whereas polymer and composite recycling remain limited (TRL 5–6) by purity and certification barriers. A comparative assessment of EU, US, and Asia–Pacific regulations identifies enforcement and infrastructure gaps hindering implementation. The study introduces an integrated CE roadmap for aviation comprising (i) standards-aligned design-for-disassembly and digital traceability, (ii) accredited MRO-to-reuse networks, and (iii) performance-based policy incentives. Full article

The corporate water use audit system is an important part of implementing China’s strictest water resource management system and building a water-saving society. Since 2009, seven provinces (municipalities/autonomous regions) in China have begun to explore corporate water audits. However, conflicts of interest between the Chinese government, water-using enterprises, and commissioned third-party auditors may lead to the ineffective promotion of the corporate water audit policy. In this paper, we study corporate water auditing behavior from the perspective of information asymmetry, construct an evolutionary game model of the three parties, explore the strategy choices of each party, study the asymptotic stability of the evolutionary stability problem via numerical methods, and analyze the impact of parameter changes on it. The study shows that, firstly, strict governmental supervision plays a key role in promoting the implementation of corporate water audit systems. Incentive subsidies had a positive and direct impact on firms and auditors in the water audit system. Secondly, the higher rent-seeking costs of tripartite audit institutions affect the probability of firms’ participation in rent-seeking. As a social institution, regulation and penalties for firms should be strengthened to reduce the risk of information asymmetry. The results of this study provide insights into the existence of asymmetry problems and possible coping strategies. Full article

Agrivoltaic (AV) systems are increasingly recognized as a strategy to enhance sustainable land management, yet their application in post-conflict settings remains underexplored. This study addresses this gap by evaluating AV deployment in two Colombian municipalities located in PDET/ZOMAC regions, using an integrated framework that expands the conventional Water–Energy–Food (WEF) nexus into the Water–Energy–Food–Soil–Climate–Communities (WEFSCC) nexus. The research combined GIS-based site characterization, crop yield and water balance modeling (contrasting traditional irrigation with hydroponics), and photovoltaic performance simulations for 30 kW systems, under conservative and moderate scenarios. Economic analyses included Net Present Value (NPV), Internal Rate of Return (IRR), and Free Cash Flow (FCL), with sensitivity tests for crop prices, yields, tariffs, and costs. Results indicate that AV can reduce crop irrigation demand by up to 40%, while generating 17 MWh/month of electricity per site. Cabrera exhibited higher profitability than Pisba, explained by yield differences and site-specific energy outputs. Comparative analysis confirmed consistency with experiences in Africa and Europe, while emphasizing local socio-environmental benefits. Conclusions highlight AV systems as resilient tools for sustainable land management in Colombia’s post-conflict regions, with actionable implications for land-use regulation, fiscal incentives, and international cooperation programs targeting rural development. Full article

With the advent of the digital age, platform ecosystems have emerged as a crucial organizational form. Focusing on innovation-oriented platforms where collaborative innovation is paramount, this study developed a two-stage principal–agent model to examine how a platform enterprise’s value preference parameter governs collaborative outcomes. Our framework demonstrates that this parameter systematically regulates the endogenous portfolio of incentives and supervision, determining governance effectiveness and value co-creation outcomes in platform ecosystems. Further analysis revealed that as the platform enterprise deepens its understanding of an embedded enterprise’s capabilities, its governance mode spontaneously transitions from supervision-intensive to incentive-intensive, establishing a self-reinforcing cycle of value creation. These findings provide a principled basis for designing dynamic governance mechanisms and advance the platform governance literature by establishing the central role of the platform enterprise’s value preference parameter in coordinating endogenous governance instruments. Full article

The construction industry is transforming toward innovative and sustainable building methods, with modular building emerging as a viable alternative to conventional techniques. Modular building practices (MBPs) are regarded as an efficient and sustainable alternative driven by the need to reduce costs, minimise material waste, improve project timelines, and meet technological and environmental demands in the construction industry. This study, therefore, explores the key factors promoting the adoption of MBPs within the construction space. Using a quantitative research design, data were collected through structured questionnaires administered to registered and practising construction professionals, including architects, engineers, project managers, and quantity surveyors across various construction firms in South Africa. The instrument’s reliability was confirmed with a high Cronbach’s alpha coefficient of 0.974, indicating excellent internal consistency. Findings reveal that education and training, increased funding for research and development, tax imposition on traditional building components, introducing relevant support policies and legislations, and awareness creation among the stakeholders are key drivers of MBPs. The findings underscore the importance of aligning industry practices with policy incentives, investing in workforce upskilling, and enhancing stakeholder engagement to accelerate the transition toward modular construction. The study contributes to both the academic literature and industry knowledge by providing empirical evidence on the multidimensional factors promoting modular practices. Implementation of supportive regulations and incentives that promote sustainability, streamlined approval processes, and innovation is highly recommended. Full article

Quality Infrastructure (QI) underpins safe, sustainable, and competitive markets through metrology, standardization, accreditation, conformity assessment, and market surveillance. While mandatory schemes address immediate safety concerns, voluntary conformity assessments offer strategic advantages for emerging technologies by enabling market differentiation, regulatory anticipation, and gradual adaptation without compliance burdens. Focusing on Brazil’s National Institute of Metrology, Quality, and Technology (Inmetro), this study addresses operational gaps in implementing voluntary schemes under the modernized regulatory framework introduced by Inmetro’s Ordinance No. 30/2022. Using electric mobility to illustrate sustainability pathways, we show how voluntary assessments can operationalize and enable measurement of environmental and social co-benefits. Our five-stage qualitative methodology integrated documentary analysis of Brazilian regulations; comparative examination of approaches in the European Union, the United States, and South Korea; development of a 14-step methodological roadmap aligned with ISO/IEC standards; expert validation through a structured questionnaire with twelve specialists from government, industry, academia, and certification bodies; and systematic consolidation of feedback. The roadmap provides operational guidance on product definition, technical requirements, certification processes, and continuous improvement, with optional modules for advanced technologies and ESG criteria. Expert validation confirmed viability while identifying barriers (costs, laboratory capacity, cultural limitations) and enablers (fiscal incentives, procurement recognition). When applied to electric mobility, voluntary battery certification enhances safety and performance, charging infrastructure assessment improves reliability, and component schemes enable circular economy principles, directly supporting the Sustainable Development Goals. We conclude that strategically designed voluntary conformity schemes can accelerate regulatory convergence, strengthen competitiveness, and contribute to sustainability outcomes in modernizing economies. Full article

Carbon emissions from dairy farms have significantly hindered the advancement of sustainable agriculture, and improving carbon efficiency is a key pathway to mitigate these emissions. As a critical technological innovation, smart farming technology exerts a substantial impact on boosting carbon efficiency in dairy farms. Based on field survey data collected from Chinese dairy farms, this study employs an integrated empirical approach, including endogenous switching regression, two-stage least squares, and propensity score matching, to rigorously evaluate the impact of smart farming technology on economies of scale. A mediation analysis is further conducted to examine the interrelationships among smart farming technology, economies of scale, and carbon efficiency, while the moderating role of government regulation is also empirically tested. The findings reveal three key results: (1) Smart farming technology exerts a direct and positive influence on the economies of scale in dairy farms, with this effect becoming more pronounced as farm size increases. (2) Economies of scale serve as a partial mediator in the relationship between smart farming technology and carbon efficiency. This indicates that smart farming technology not only directly enhances carbon efficiency but also does so indirectly by facilitating the expansion of production scale and reducing unit costs. (3) Government regulation positively moderates this mediating pathway. Specifically, through standardizing production practices, offering policy incentives, and guiding the application of technology, government interventions strengthen the ability of smart farming technology to foster economies of scale. These insights underscore the importance of steering dairy farms toward the adoption of smart farming technologies to simultaneously improve scale efficiency and carbon performance, thereby supporting the transition toward low-carbon and sustainable agricultural development. Finally, this study proposes three policy implications: strengthening institutional support for the adoption of smart farming technologies in dairy production systems, significantly enhancing training programs related to these technologies, and systematically guiding dairy farms toward smart technology adoption to simultaneously improve economies of scale and carbon efficiency. Full article

Carbon emissions from the manufacturing sector have long been a critical environmental concern. New quality productive forces (NEP), which integrate advanced technologies and innovative practices to enhance production efficiency while reducing environmental impact, provide robust support for the green and sustainable development of manufacturing. However, previous studies have not established empirical evidence linking NEP to manufacturing carbon emission intensity (CEI), nor have they identified the underlying transmission channels. This study makes a methodological innovation by explicitly differentiating technological innovation into disruptive and progressive categories to examine their distinct mediating roles. Using panel data from 30 Chinese provinces from 2012 to 2021, we investigate the direct, heterogeneous, and spatial effects of NEP on CEI, along with the mediating effects of different innovation types. The results demonstrate that NEP significantly reduces CEI, and this finding remains robust after addressing endogeneity concerns and conducting comprehensive robustness checks. Mechanism analysis reveals that NEP achieves emission reduction primarily through promoting disruptive innovation—fundamental shifts in operational paradigms that substantially reduce environmental footprints. Heterogeneity analysis indicates the strongest emission reduction effect in central China. Based on these findings, we propose targeted policy recommendations: cultivating NEP as a fundamental driver, accelerating green technology industrialization, establishing a three-dimensional policy framework integrating innovation incentives, market regulation, and supervisory safeguards, and implementing regionally differentiated strategies. These approaches provide actionable pathways for achieving China’s dual-carbon goals and promoting sustainable manufacturing development. Full article

This study explores the impact of financial technology (Fintech) on economic, social, and environmental sustainability in Saudi Arabia using survey-based empirical evidence. Using ordinal logistic regression, the results provide evidence of a positive and significant role of fintech adoption in each of the three areas of sustainability. On the economic front, fintech fosters financial inclusion, bank efficiency, and sector diversification. Socially, it promotes equality by providing greater access to financial services for vulnerable groups like women, youth, and SMEs, as well as creating new job opportunities. Environmentally, fintech reduces the environmental footprint of financial transactions and funnels capital into green initiatives, as outlined in Saudi Arabia’s Vision 2030 aspirations. The findings have important policy and managerial implications, suggesting that banks should include fintech as a strategic source of sustainable development, while policymakers must implement enabling regulation and incentives to encourage innovation. Cross-country analysis within the GCC and examination of moderating variables such as institutional quality and corporate governance could form part of future research. Full article

This study examines corporate sustainability in Ecuador using the Global Reporting Initiative (GRI) methodology, considering 104 companies in the period 2018–2023. Using a quantitative and longitudinal approach, sectoral trends and the influence of regulations and incentives on the adoption of responsible practices were identified. The results show that companies prioritize the social component over economic and environmental ones, and that sectors with greater public exposure such as mining and manufacturing show greater progress compared to financial services and telecommunications. Statistical analysis reveals significant interrelationships between the three dimensions, confirming that performance in one drives the others. The main contribution of this work lies in offering a multivariate analysis that is unprecedented in the Ecuadorian context, which allows for an understanding of sectoral gaps and raises the need for differentiated public policies to promote more consistent sustainability reports that are aligned with the Sustainable Development Goals (SDGs). Full article

In recent years, European and national policies on energy efficiency and sustainable construction have promoted a profound rethinking of building practices and strategies for upgrading the existing building stock. With the conversion of Law Decree No. 34 of 19 May 2020 (Decreto Rilancio) into Law No. 77 of 17 July 2020, and of Law Decree No. 76 of 16 July 2020 (Decreto Semplificazioni) into Law No. 120 of 11 September 2020, the tax deduction rate was increased to 110% for expenses related to specific interventions such as seismic risk reduction, energy retrofit, installation of photovoltaic systems, and charging infrastructures for electric vehicles in buildings—commonly known as the Superbonus 110%. Furthermore, the category of “building renovation,” as defined in Presidential Decree No. 380 of 6 June 2001 (art. 3, paragraph 1, letter d), was expanded with specific reference to demolition and reconstruction of existing buildings, allowing—under certain conditions—interventions that do not comply with the original footprint, façades, site layout, volumetric features, or typological characteristics. These measures were designed not only to positively affect household investment levels, thereby significantly contributing to national income growth, but also to support the broader objective of decarbonising the building sector while improving seismic safety. Within this regulatory and policy framework, instruments such as the Superbonus 110% have acted as a driving force for the diffusion of renovation projects aimed at enhancing energy performance and reducing greenhouse gas emissions, in line with the objectives of the European Green Deal and the Energy Performance of Buildings Directive (EPBD). This paper is situated within such a context and examines a real-world case of bio-based renovation admitted to fiscal incentives under the Superbonus 110%. The focus is placed on the procedural framework as well as on the technical, economic, and evaluative aspects, adopting a multidimensional perspective that combines regulatory, operational, and financial considerations. The case study concerns the demolition and reconstruction of a single-family residential chalet, designed according to near-Zero-Energy Building (nZEB) standards, located in the municipality of San Roberto, in the province of Reggio Calabria. The intervention is set within an environmentally and culturally sensitive area, being situated in the Aspromonte National Park and subject to landscape protection restrictions under Article 142 of Legislative Decree No. 42/2004. The aim of the study is to highlight, through the analysis of this case, both the opportunities and the challenges of applying the Superbonus 110% in protected contexts. By doing so, it seeks to contribute to the scientific debate on the interplay between incentive-based regulations, energy sustainability, and landscape–environmental protection requirements, while providing insights for academics, practitioners, and policymakers engaged in the ecological transition of the construction sector. Full article

This umbrella review examined the application of behaviour change techniques (BCTs) and their associations with physical activity (PA) outcomes in interventions targeting adults with chronic conditions. A comprehensive search of five databases was conducted up to 20 December 2024, identifying eighteen eligible systematic reviews (including nine meta-analyses), encompassing 468 primary studies and over 57,500 participants. BCTs were coded using the BCT Taxonomy v1, and review quality was assessed using AMSTAR 2. Across the included studies, eleven BCTs were most frequently employed, clustering into four core domains: self-regulation, instruction/information, social or contextual support, and modelling. Among these, four BCTs—goal setting (behaviour), social support (unspecified), instruction on how to perform the behaviour, and graded tasks—were consistently associated with significant increases in PA. Subgroup analysis revealed condition-specific patterns: graded tasks combined with social incentives were most effective for metabolic disorders, instructional techniques for cardiovascular disease, combined instruction and social support for musculoskeletal conditions, goal setting for mixed chronic conditions, and pairing action planning with graded tasks for cancer survivors. These findings advance both theoretical and practical understanding of components associated with successful PA interventions and provide a robust evidence base to inform future program design for chronic disease management. Full article