With the continuous advancement of green development strategies, environmental regulation has gradually shifted from administrative control to market-based governance mechanisms. The environmental protection tax, as an important institutional arrangement in China’s environmental regulatory system, internalizes pollution costs through taxation and significantly influences corporate production decisions and resource allocation. This study takes the implementation of China’s Environmental Protection Tax Law in 2018 as a quasi-natural experiment and uses data from Chinese A-share listed companies from 2015 to 2022. A difference-in-differences (DID) model is constructed to examine the impact of the environmental protection tax on the green transformation of heavy polluting enterprises. The empirical results show that the environmental protection tax significantly promotes the green transformation of heavily polluting firms. Further analysis indicates that the policy encourages enterprises to increase environmental investment and adopt cleaner production technologies, thereby improving environmental performance and innovation capability. Robustness tests confirm the reliability of the findings. The results provide empirical evidence for improving green taxation systems and offer policy insights for promoting coordinated development between economic growth and environmental protection.

Under the background of coordinated promotion between dual-carbon goals and digital economy , how enterprises can balance green innovation with economic benefits through environmental regulation, while leveraging digital transformation to drive green development, has become a critical issue. This study treats China's 2018 environmental protection tax (EPT) implementation as a quasi-natural experiment, employing difference-in-differences (DID) to examine its impact on corporate green innovation. Key findings:(1) EPT significantly promotes green innovation, with stronger effects on substantive innovation than strategic innovation; (2) Digital transformation shows a U-shaped moderating effect, which indicate that the impact of environmental protection tax on corporate green innovation varies across different stages of digital transformation; This study reveals the effects of EPT in driving corporate green innovation through dual pathways, providing practical references and management implications for achieving coordinated 'digital - green' development.

Purpose This study aims to explore how innovation ecosystem characteristics (actor heterogeneity, relational embeddedness and organizational interdependence) impact technological innovation performance in megaprojects. It focuses on the roles of value co-creation and network innovation capability, aiming to uncover the mechanisms driving innovation in complex project environments. Design/methodology/approach A quantitative approach is employed, using survey data from megaproject stakeholders. Structural equation modeling analyzes the relationships between ecosystem characteristics, value co-creation, network innovation capability and innovation performance. Findings Value co-creation significantly enhances technological innovation performance, while network innovation capability partially mediates this relationship. Actor heterogeneity has no direct effect, but relational embeddedness and organizational interdependence indirectly influence performance through value co-creation and network innovation capability. Value co-creation emerges as the stronger driver of innovation outcomes. Originality/value This research integrates innovation ecosystem and network theories to reveal the critical role of value co-creation in megaproject innovation. It introduces network innovation capability as a mediator, emphasizing the importance of relational and organizational dynamics. The study offers practical insights for fostering collaboration and innovation in megaprojects, advancing both theoretical and practical understanding.

Green Architecture and Environmental Renewable Energy Innovations: A Comparative Study between Siwa Oasis in Egypt and Sicily Island, Italy

Board gender diversity and emissions performance: Insights from panel regressions, machine learning, and explainable AI.

Cultivating an optimal environment for nursing innovation.

This study examines the structural mechanism through which environmental pressure influences firm performance via environmental innovation, while investigating the moderating role of government support and firm size differences. Using microdata from the 2024 Korean Innovation Survey (manufacturing sector), the analysis focuses on 2,674 firms that have introduced at least one eco-beneficial innovation. Partial least squares structural equation modeling (PLS-SEM) was employed, with environmental innovation specified as a second-order construct. In addition, multi-group analysis (PLS-MGA) was conducted to explore firm size heterogeneity. The results indicate that environmental pressure positively affects environmental innovation and firm performance, both directly and indirectly through environmental innovation. Government support shows a significant negative moderating effect on the relationship between environmental pressure and environmental innovation, suggesting a buffering or substitution effect among firms that have already adopted environmental innovations. Multi-group analysis reveals that large firms exhibit stronger effects of environmental pressure on both environmental innovation and performance than medium-sized firms, whereas small firms show a stronger linkage between environmental pressure and environmental innovation than medium-sized firms. These findings suggest that the performance implications of environmental pressure and policy support vary by firm size and innovation stage, providing important implications for differentiated environmental and innovation policy design.

Subject. The impact of the competitiveness of regional economic sectors on the integral indicator of the sustainable development of the region in the context of economic modernization. Objectives. To establish and quantify the relationship between the competitiveness of the region's industries and the sustainability of its socioeconomic development, substantiate the priorities of economic diversification aimed at improving financial stability and the quality of economic growth. Methods. The methodological basis of the research is based on a comprehensive statistical and econometric approach, including analysis, synthesis, induction and deduction, a comparative analysis of scientific concepts of sustainable development, competitiveness and entrepreneurship. Results. It has been established that there is a statistically significant relationship between the indicators of competitiveness of the region's industries and the integral indicator of sustainable development. The basic industries (mining and metallurgy) are characterized by a weak or negative relationship with the sustainability indicator, which indicates the limitations of an extensive growth model. A high positive relationship between the STR effect and sustainable development has been identified for the chemical industry and the IT services sector, confirming the role of structural diversification and knowledge-intensive sectors. Conclusions. The sustainable development of the region in the context of economic modernization is determined not so much by the scale of growth of individual industries as by the quality and structural balance of the sectoral system. The formation of an innovative environment, the development of knowledge-intensive and service sectors, as well as increasing the structural stability of industries are key factors in strengthening the financial stability of the region.

Artificial intelligence (AI) holds immense promise for enhancing medical imaging analysis, particularly in the realm of anatomical segmentation. However, the technical complexities of developing and deploying AI models, often requiring substantial coding expertise, have traditionally posed a barrier to entry for many clinicians. This review explores the emerging landscape of low-code (LC) AI solutions in medical imaging, focusing on their potential to empower radiologists and other healthcare professionals to actively participate in AI development. We examine a practical workflow using the fastMONAI library, an LC extension of established tools like MONAI and fastai, demonstrating how clinicians can train a U-Net-based model for cardiac MRI segmentation with minimal coding. This approach significantly reduces the technical overhead, enabling clinicians to focus on clinically relevant aspects of model development and customization. The review highlights the benefits of LC AI in fostering a more inclusive and collaborative environment for AI innovation in radiology, while also acknowledging the potential limitations and considerations for successful implementation.

Purpose Digital service innovation (DSI) is a crucial strategy for the manufacturing firms to capitalize on digital innovation and maintain competitiveness. DSI can be affected by the interaction of technological tools, technological applications and innovation environments. Little is known about how the configurations of these capabilities drive DSI. Therefore, this paper aims to investigate the harnessing capability configurations for enhanced DSI. Design/methodology/approach This paper, based on 401 manufacturers operating in China engaged in digital servitization, uses a multimethod strategy integrating symmetric (partial least squares-structural equation modeling [PLS-SEM]) and asymmetric (fuzzy set qualitative comparative analysis [fsQCA]) analyses to comprehensively examine the impact of digital service innovation capabilities on digital service innovation performance (DSIP). Findings The results of PLS-SEM show that five capabilities have a positive impact on DSI, but their effects are small. From a combination perspective, the results of the fsQCA show the presence of complementary effects among capabilities at the technological tool level, subject-activated level and contextual support level, revealing four equivalent paths that promote high DSIP. Originality/value Using a perspective from the technology affordance theory, this paper provides a holistic understanding of the role of single capabilities in promoting DSI and pioneers a tripartite capability framework, including the technological tool level, the subject-activated level and the contextual support level in DSI. Most significantly, the authors develop an equifinality matrix that identifies four archetypal capability configurations that achieve DSI equivalence, providing managers with strategic portfolio options under resource constraints.

Frugal innovation is an important area of academic research for organizations seeking to create value with limited resources. However, one important theoretical issue remains unclear: the available literature does not clarify how environmental orientations produce frugal innovation outcomes or how leadership capabilities determine this relationship within the resource-based view. Specifically, the processes by which both external and internal environmental orientations contribute to frugal innovation in resource-constrained environments, and the way transformational leadership is viewed as an intangible strategic resource, are not developed in theory. Therefore, the objective of this study is to explain the importance of frugal innovation in telecom companies in Saudi Arabia and to examine its theoretical link to the resource-based view. Furthermore, this study aims to investigate the relationship between environmental orientation and frugal innovation. Environmental orientation is estimated using both internal and external orientations. Furthermore, this study examines the moderating role of transformational leadership in the relationship between external and internal environmental orientation and frugal innovation in telecom companies in Saudi Arabia. For the empirical analysis, data were collected via a well-developed questionnaire sent to employees of three leading telecom companies: Zain, Mobily, and Saudi Telecom Company (STC). The sample size consisted of 436 employees. Furthermore, SmartPLS 4 software was used for PLS-SEM modeling to test hypotheses and assess model validity. After the data analysis, it was found that external environmental orientation has a positive and significant relationship with frugal innovation, and internal environmental orientation also shows a positive relationship. Furthermore, it was found that transformational leadership positively moderates the relationship between external and internal environmental orientations with frugal innovation in the telecommunications company. Furthermore, this study concluded that the telecommunications sector makes a significant contribution to economic development and that executives’ transformational leadership skills are an important moderator in analyzing environmental orientation and in enhancing employees’ abilities to utilize limited resources to achieve maximum benefits. This study is highly relevant to policymakers and researchers in the context of frugal innovation, in support of the organization’s objective.

ABSTRACT Biodiversity decline poses rising risks for firms, yet its effects on technological innovation remain underexplored. I thus investigate the influence of biodiversity risk on corporate innovation in the United States (US) from 2000 to 2023. I analyze firm‐level innovation along two dimensions: aggregate innovation, proxied by the cumulative number of patents granted, and green innovation, measured through environmentally oriented patents. To ensure robust estimation, a high‐dimensional Poisson pseudo‐maximum likelihood (PPML) framework is adopted. I reveal a consistent suppressive effect of biodiversity risk on overall and green innovation. The innovation response, however, exhibits significant sectoral heterogeneity: Utilities pursue broad modernization, real estate engages in compliance‐driven adjustments, and information technology firms tend toward strategic disengagement. I also identify three underlying mechanisms. Specifically, capital misallocation exacerbates the negative impact of biodiversity risk. Local market competition exerts a modest buffering effect, stimulating innovation in more competitive environments. Financial constraints unexpectedly lead firms toward targeted aggregate and green innovation under pressure from biodiversity. My research suggests that policies and institutions are needed to maintain stable innovation systems amid ecological and financial stress.

Local wisdom as the basis for environmental policy innovation with the practice of sea sasi and sago hamlets in Papua’s ecological governance

This study analyzes the effects of environmental concern, product innovation, and attitude on green purchase intention among Le Minerale consumers in Yogyakarta. This study employs a quantitative approach using a survey design involving 130 respondents selected through purposive sampling. Data were collected through an online questionnaire and analyzed using multiple linear regression using SPSS version 26. The results indicate that environmental concern has a negative and significant effect on green purchase intention, whereas product innovation and attitude have positive and significant effects. These findings suggest that product innovation and attitude play a crucial role in encouraging green purchase intention, while environmental concern does not necessarily translate directly into purchasing behavior. Therefore, companies are encouraged to place greater emphasis on product innovation strategies and the development of positive consumer attitudes to enhance green purchase intention.

Social trust and firms’ environmental innovation: the role of green commitment and customer geographic distance

Purpose: This study investigates the impact of managerial myopia on green innovation in Chinese listed companies from 2001 to 2021, focusing on how short-termism undermines sustainable innovation at both firm and industry levels. Design/methodology/approach: Utilising Management Discussion and Analysis (MD&A) textual analysis and corporate patent data, we employ high-dimensional fixed-effects and robustness tests to assess the relationship between managerial myopia and green innovation. Heterogeneity analysis and mediation models explore variations across firm types and mediating mechanisms, including R&D investment, digital transformation and environmental, social and governance (ESG) management. Findings/results: Results confirm that managerial myopia significantly inhibits green innovation, with stronger effects in non-state-owned enterprises (non-SOEs), non-heavy polluting firms and non-CEO-duality firms. At the industry level, managerial myopia indirectly suppresses green innovation through reduced R&D investment, limited digital transformation and weaker ESG management, as validated by mediation analysis. Practical implications: The findings offer policymakers and corporate leaders’ insights into aligning managerial incentives with long-term environmental and economic goals. Encouraging sustainable focus in non-SOEs and enhancing R&D and ESG practices could mitigate the adverse effects of short-termism on green innovation. Originality/value: This research integrates MD&A textual analysis with patent-based metrics to provide a novel perspective on managerial myopia’s impact on green innovation in an emerging market context. It elucidates nuanced mechanisms – R&D, digital transformation and ESG management – through which short-termism disrupts sustainability, contributing to the literature on corporate governance and environmental innovation.

Amid growing international pressure for carbon neutrality, the maritime industry is facing mounting institutional demands for environmental innovation. Drawing on protection motivation theory, this study surveyed 499 employees from 1519 shipping service firms to examine how coercive, mimetic, and normative pressures shape green innovative work behavior. By extending protection motivation theory to a highly regulated maritime context, this study demonstrates that institutional pressures do not directly drive green innovation; instead, they enhance employees’ self-protective motivation, which subsequently fosters eco-innovation. Moreover, these relationships are stronger when firms perceive greater climate risks or receive government subsidies, indicating that contextual conditions amplify the translation of motivation into behavior. Overall, the findings reveal how macro-level institutional forces shape the sustainable transition of maritime services through employee psychology, offering governance-relevant insights for policymakers and firms seeking to promote green innovation.

ABSTRACT Firms currently operate in increasingly complex business environments, often facing increasingly diverse environmental requirements from their customers. This challenge is reflected in the concept of “customer base complexity,” which encompasses three dimensions: horizontal complexity (i.e., number of customers), vertical complexity (i.e., depth of customer relationships), and spatial complexity (i.e., customers being located in diverse geographical locations). These complexities can negatively affect a firm's environmental performance because the number and diversity of customer‐specific environmental requirements make it difficult to efficiently deploy resources to minimize environmental impacts. This study applied the absorptive capacity perspective to investigate how two environmental routines—environmental management system (EMS) and environmental innovation (EI)—can mitigate the adverse effects of customer base complexity on environmental performance. Secondary data from four databases (Thomson Reuters ESG, KLD, Bloomberg SPLC, and Compustat) were used to construct a panel dataset with 940 firm‐year observations across 236 US‐listed manufacturing firms. Fixed effects regression analyses reveal that three dimensions of customer base complexity are associated with poorer environmental performance, as indicated by increased energy use and/or CO 2 emissions per unit of sales. Moreover, EMS and EI, as absorptive capacity routines, are found to be effective for mitigating the negative effects of different complexity dimensions. These findings suggest that firms can combine these two absorptive routines to mitigate the negative influences of customer base complexity in the context of environmental management.

Morocco is increasingly vulnerable to climate change, as reflected by recurrent droughts and rising soil and groundwater salinization, which threaten staple crops and rural livelihoods. In this context, the introduction of drought- and salinity-tolerant crops such as quinoa represents a strategic option for enhancing agricultural resilience and supporting sustainable rural development. This study analyzes quinoa adoption in two contrasting Moroccan regions, Rehamna and the Oriental, with the aim of determining key socio-economic, institutional, and environmental drivers. Field surveys were conducted to collect data on farmers’ personal characteristics, farm attributes, and access to resources related to quinoa cultivation, including water, information, and credit. Data analysis combined descriptive statistics, a binary logistic regression model (Logit), Factorial Analysis for Mixed Data (FAMD), and Hierarchical Cluster Analysis (HCPC) to identify adoption determinants and explore heterogeneity among farmers. The results reveal both common factors and region-specific dynamics shaping quinoa adoption. Cooperative membership emerges as a central determinant in both regions, facilitating access to information, collective learning, and market integration, with a stronger effect observed in the Oriental region. Water scarcity appears as a critical constraint, particularly in Rehamna. Adoption pathways also differ across regions, with a higher prevalence of direct adoption among farmers in the Oriental. Interpreted through the lens of innovation diffusion and multidimensional sustainability, the findings show that quinoa adoption is not merely a technical choice but a socio-economic adaptation strategy. Quinoa should therefore be considered a complementary crop within diversified farming systems, contributing to environmental resilience, income diversification, and social inclusion. These results provide relevant insights for the design of policies aimed at promoting sustainable agricultural innovation in marginal environments.

ABSTRACT Despite technical advancements and good governance, the G7 economies still significantly contribute to global CO 2 emissions, illustrating the ongoing difficulty of balancing growth and sustainability. This paper analyzes the economic, institutional, and technological factors affecting CO 2 emissions and environmental quality in G7 countries from 1990 to 2022. It uses the Environmental Kuznets Curve (EKC), institutional theory, and technological innovation theory to develop a dual‐model approach based on the Energy Transition Index (ETI) and the Green Quality Index (GREENQ) to capture both efficiency and ecological sustainability. Using advanced panel estimators like Driscoll–Kraay Fixed Effects, Prais–Winsten PCSE, and Feasible GLS, the results support the EKC hypothesis, indicating a nonlinear link between GDP and CO 2 emissions. AI reduces emissions, highlighting its importance in energy optimization and decarbonization. The link between Institutional Quality (IQ) and CO 2 emissions is positive and significant, suggesting that institutional robustness in advanced economies may not always lead to environmental accountability. ETI shows transitional emission rises during energy restructuring, whereas globalization reduces emissions through technical diffusion. This study sheds light on advanced countries' structural and transitional emission behavior by incorporating AI, institutional capacity, and globalization into a sustainability model. The findings help achieve SDGs 7, 9, 11, 12, and 13 by providing evidence‐based guidance for low‐carbon growth, technology, and governance.