Felipe Bastos dos Reis, Adriana Marotti de Mello, João Valsecchi Ribeiro de Souza
Industry 4.0 technologies are increasingly recognized as important contributors to the transition toward a circular economy, yet their association with circular business models (CBMs) remains poorly understood. This paper examines how Industry 4.0 technologies contribute to CBM implementation. Drawing on a systematic literature review of 34 papers and an analysis of 13 illustrative cases from the Circular X and Ellen MacArthur Foundation databases, the study maps the relationship between technologies, applications, and CBM patterns. The findings identify seven core technologies, Artificial Intelligence, Big Data, Cloud Computing, Internet of Things, Additive Manufacturing, Augmented Reality, and Blockchain, and 14 key applications linked to circular business models, such as data integration, predictive maintenance, smart energy management, and supply chain traceability. The results suggest that technology adoption alone is not necessarily associated with circular outcomes. Most applications correspond to efficiency-oriented strategies, particularly the reduction of material and energy consumption, indicating that current uses of Industry 4.0 in CBMs remain strongly oriented toward digital optimization. When technologies are not aligned with circular value propositions, efficiency gains may generate rebound effects, potentially increasing environmental impacts. This study advances the circular economy literature by providing a configurational perspective on the implementation of Industry 4.0 technologies within CBMs and by mapping how digital capabilities contribute to specific circular applications. Practically, the findings offer guidance for managers seeking to prioritize technology investments and move circular business strategies beyond operational efficiency toward circular transformation. Overall, the study contributes to a more comprehensive understanding of how the association between Industry 4.0 technologies and circular transformation, rather than digital optimization alone, appears stronger when their applications align with CBM patterns and circular value propositions.
Huriye Gonca Di̇ler, Münevvere YILDIZ, N. Serap VURUR, Letife Özdemir
In today's world, sustainability strategies play a critical role in the transformation of global economies and industries. Green Economic Growth (GEG), which prioritizes environmental factors, is gaining increasing importance. Financial and green innovation are identified as the main driving forces behind GEG. However, research on the effects of these factors in OECD countries remains limited, and existing findings often show inconsistencies regarding the direction and magnitude of these effects. This study aims to comprehensively examine the impact of financial and green innovation on GEG in OECD countries. Using annual data from 15 OECD countries for the period 1996–2021, panel data techniques are applied. Cointegration tests are conducted to determine the presence of long-run relationships among the variables. Subsequently, long-run coefficients are estimated using the panel quantile regression method. The robustness of the findings is tested through OLS and fixed effects models. Additionally, causality tests are employed to explore the directional relationships between the variables. The results indicate that green innovation has a positive long-run effect on GEG, whereas financial innovation exerts a negative impact. Causality tests reveal bidirectional relationships among all variables. Policy recommendations include the promotion of green bonds and sustainable finance instruments, support for green investments through regulations that take environmental risks into account, and the expansion of access to green projects via technologies such as blockchain-based carbon markets. This research provides valuable insights for policymakers in designing more effective strategies to foster sustainable economic growth.
This study examines whether green finance promotes green development across Chinese prefecture-level cities from 2005 to 2019. We find a positive association between green finance and green development using panel regressions with city and year fixed effects. This result remains robust after accounting for potential endogeneity and implementing a series of robustness checks. Further heterogeneity analysis shows that this positive effect is stronger in regions characterized by high fiscal capacity and within the Yangtze River Economic Belt. Additionally, green finance drives regional green development by promoting green innovation. Environmental decentralization moderates the relationship, with a stronger positive effect at higher levels of decentralization. This study offers empirical evidence regarding how green finance shapes green development outcomes.
This study examines how fiscal governance structures influence corporate environmental performance by exploiting China’s 2003 tax delegation reform as a quasi-natural experiment. The reform transferred corporate income tax collection authority from locally-governed Local Tax Bureaus (LTBs) to centrally-managed State Tax Bureaus (STBs) based on a firm registration date cutoff of January 1, 2002. Using a Regression Discontinuity Design (RDD) with micro-level panel data from Chinese manufacturing firms (2004-2008), we identify the causal impact of tax administration assignment on firm-level energy efficiency, measured as output per unit of energy consumed. Our findings reveal that firms under LTB administration exhibit 8-12% higher energy efficiency compared to comparable firms under STB administration. This effect persists across multiple robustness checks, including alternative bandwidth specifications, placebo tests using unaffected firms, and alternative energy efficiency measures. Mechanism analysis demonstrates that the energy efficiency gains stem from three primary channels: (1) relaxed financial constraints enabling greater investment capacity, (2) transition toward cleaner energy sources with reduced coal dependency, and (3) increased adoption of energy-saving technologies and green innovation. These effects are particularly pronounced among financially constrained firms, non-exporters, and firms in regions with higher fiscal capacity or stronger environmental pressure. These results contribute to three strands of literature. First, they provide novel evidence that fiscal administrative structures—traditionally viewed as purely revenue instruments—can have substantial unintended environmental consequences. Second, they demonstrate how local fiscal flexibility may create conditions conducive to green technological upgrading by alleviating financial frictions. Third, they extend the Porter Hypothesis to the institutional level, showing that supportive governance arrangements can simultaneously enhance economic efficiency and environmental sustainability. The findings suggest that integrating environmental performance metrics into local tax administration evaluation frameworks could align fiscal incentives with sustainability objectives, offering a promising pathway for emerging economies to achieve coordinated economic and environmental goals. • LTB oversight improves firm energy efficiency by 8–12% over STB control. • Lenient tax enforcement eases financing constraints for cleaner energy adoption. • Environmental benefits are stronger in fiscally surplus or high-pressure cities. • Financing-constrained and non-exporting firms benefit most from LTB regulation. • Study links decentralized tax control to unexpected environmental improvements.
Marta Massi, Andrea Vocino, Chiara Piancatelli, Paola Cillo · 5 authors
Non-fungible tokens (NFTs) are revolutionizing luxury fashion by offering digital experiences that promise innovation, exclusivity, and sustainability. While luxury brands increasingly experiment with these technologies, little is known about how they influence consumer perceptions of sustainability, brand legitimacy, and purchase likelihood. Drawing on dematerialization theory, institutional and legitimacy theory, and the sufficiency model, this research investigates NFTs’ role in promoting sustainable consumption and brand legitimacy. Building on insights from a preliminary qualitative study, three experiments test how product type (non-NFT, NFT, digital twin) affects purchase likelihood and how perceived product sustainability and brand legitimacy moderate and mediate these effects. Study 1 shows that digital twin products combining physical and NFT components yield the highest likelihood of purchase. Study 2 finds the positive effect of NFTs strengthens when perceived product sustainability is high. Study 3 reveals perceived product sustainability acts as a boundary condition, shaping how product type influences brand legitimacy and purchase likelihood. Findings offer theoretical insights and actionable guidance for managers.
Open access
Consumer Behavior in Brand Consumption and Identification
This research investigates how inclusive digital finance affects corporate green technological innovation, environmental decentralization, and how green transformational leadership moderates these relationships. As finance becomes more digitalized, especially in an inclusive manner, it encourages corporations to adopt sustainable practices, such as green technology integration, and to further decentralize their adaptive environmental strategies. This research applies the Resource-Based View (RBV) theory to explore the role of digital finance in promoting organizational green innovations, and the Ability-Motivation-Opportunity (AMO) leadership framework regarding the innovation mediating role of leadership. This study seeks to its address empirical research gaps regarding the role of inclusive digital finance in fostering environmentally sustainable corporate practices from an environmental and financial inclusivity perspective. The anticipated results would inform policy and practice in digital finance as a driver for sustainable corporate green innovations.
This research aims to investigate financing decisions of capital-constrained small and medium-sized enterprise (SME) manufacturers and distributors under a Green Supply Chain (GSC) framework. By evaluating the impact of Supply Chain Finance (SCF) instruments, this study utilizes Stackelberg game model to explore a decentralized decision-making system. To our knowledge, this investigation represents the first exploration of game models that uniquely compares financing through trade credit, where the manufacturer offers zero-interest credit without discounts with reverse factoring, while also considering distributor’s efforts on sustainable marketing under the impact of supportive government policies. Our study suggests that manufacturers should adopt reverse factoring for optimal profits and actively participate in distributors’ financing decisions to address inefficiencies in decentralized systems. Furthermore, the distributor’s demand quantity, profits and sustainable marketing efforts show significant increase under reverse factoring, aided by favorable policies. Finally, the results are validated through Python 3.8.8 simulations in the Anaconda distribution, offering meaningful insights for policymakers and supply chain managers.
The effect of competitive pressure on ESG may diverge. On the one hand, when competitive pressure increases, firms have incentives to increase moral capital by fulfilling ESG to hedge against risks, on the other hand, the decline in firm performance due to competition may weaken firms' ability to fulfill ESG. Research on this issue has important theoretical and practical significance. Based on data from Chinese listed companies from 2010 to 2022, we used business similarity as a proxy for competitive pressure and find it significantly improves corporate ESG performance, i.e., the risk hedging effect of ESG dominates. Corporate financing constraints negatively moderate this effect. The ability of firms to transfer risk increases as their business becomes more decentralized, which in turn weakens this effect. Conversely, when firms have more concentrated sales, their ability to transfer risk diminishes, amplifying this effect. Our study explores the measure of competitive pressure and business similarity, also expands the research on the impact of business characteristics on the non-economic consequences of firms and ESG motivations.
This bibliometric study explores the evolution of green finance research from 2000 to 2024, employing a comprehensive dataset derived from Scopus. It analyzes the development of themes, the geographic distribution of research, and the dynamics of academic collaboration within the field. Our findings indicate a significant growth in literature, with a pronounced focus on sustainable investments, green bonds, and the integration of environmental concerns into banking practices. The study highlights the role of technological innovation and decentralized finance in advancing the field, reflecting a shift towards more efficient and transparent financial processes. Geographical analysis reveals a strong contribution from countries like China, India, and the United States, with extensive international collaborations across continents. The research landscape is characterized by a diverse array of contributions that address both the economic and environmental aspects of green finance. This study provides valuable insights into the intellectual structure of green finance and suggests areas for future research, including the need for more interdisciplinary approaches and empirical studies to assess the effectiveness of green finance mechanisms.
ABSTRACT Blockchain technology, when combined with smart contracts, enables buyers to distinguish between greenwashed and genuinely eco‐friendly products. The presence of counterfeit items can severely impact supply chains by diminishing brand value, eroding consumer confidence, and undermining market trust. This article explores how smart contracts can help mitigate the circulation of counterfeit goods and safeguard brands by establishing institutional trust through tamper‐proof data, enhanced transparency, and improved traceability. Information asymmetry on digital marketing platforms significantly contributes to the proliferation of greenwashed counterfeit goods. We introduce an infection‐leakage model based on anecdotal case evidence to explain the interactions between different market types. The transition from relying solely on traditional written contracts, certifications, and brands to incorporating blockchain and smart contract technology is analyzed for its potential to strengthen supply chains and curtail the spread of counterfeit greenwashed products. Blockchain technology provides consumers with detailed product information, empowering them to choose authentic green products over counterfeit “lemons.” Our theoretical framework suggests that this shift to blockchain smart contracts can reduce the transaction costs associated with counterfeit infiltration, thereby protecting brands and the intellectual property rights of authentic sustainable products.
This study explores how disruptive technologies, and financial innovations can strengthen climate and sustainable finance by addressing persistent structural, institutional, and social barriers. Using a systematic literature review, the research analyzes academic and policy sources to explore the integration of tools such as blockchain, artificial intelligence, and decentralized finance into climate finance frameworks. The central hypothesis is that these innovations enhance the transparency, accessibility, and effectiveness of climate finance, particularly in developing economies. Findings suggest that innovation can improve fund traceability, stakeholder inclusion, and project evaluation, contributing to more equitable and resilient financing mechanisms. However, technological adoption faces limitations related to regulatory gaps, technical capacity, and institutional resistance. The article’s originality lies in linking disruptive innovation to climate justice and proposing a framework for more just and efficient financial architecture. It contributes to climate policy, finance, and development debates by bridging technological potential with sustainability goals.
Green finance and sustainable investment strategies have gained significant attention as key mechanisms to address global environmental challenges and drive sustainable development. This study employs bibliometric analysis to explore the thematic, geographical, and temporal trends in research on green finance and sustainable investments, using data from the Scopus database. The findings reveal that central themes, such as "sustainability," "green economy," and "investments," dominate scholarly discourse, with growing emphasis on emerging topics like "green technology innovation" and "decentralized finance." China, the United Kingdom, and European nations are identified as leading contributors to research in this field, with notable collaborations across regions. However, disparities in regional representation and challenges such as inconsistent ESG frameworks and perceived financial risks hinder the adoption of green finance globally. The study highlights opportunities for harmonizing global standards, leveraging technological innovations, and expanding research in underrepresented regions. These insights provide valuable guidance for policymakers, financial institutions, and researchers aiming to enhance the effectiveness of green finance and sustainable investments.
Matilde Messina, Mohammad H. Eslami, Joaquín Cestino
Blockchain research has proliferated in recent years, attracting more attention from academics and practitioners. However, the current body of management literature is widely scattered and lacks a comprehensive view of how the use of blockchain in organisations impacts environmental and social sustainability. To bridge this gap, our review comprehensively examines 238 academic papers sourced from the Scopus database, synthesising previous research on the convergence of blockchain and sustainability. Employing a systematic approach and incorporating bibliometric analysis, our study provides an analysis of the current management research landscape concerning blockchain and sustainability. Our study yields a comprehensive model comprising the antecedents, blockchain mechanisms, and sustainability outcomes of the use of blockchain in organisations. Based on our literature review, we establish a future research agenda and provide practical implications.
Purpose There is little empirical evidence on how blockchain affordances may encourage consumers to make sustainable choices. Thus, this paper examines how blockchain affordances affect consumers’ sustainable consumption. Design/methodology/approach We focus on three blockchain affordances: transparency, traceability, and immutability in this paper. By integrating the affordance lens and theory of consumption values (TCV), we develop a research model wherein we posit that blockchain affordances influence several consumption values, which then affect consumers’ intention to purchase sustainable products. In the study, we designed a scenario and user interface for a novel blockchain-based app for sustainable consumption in the context of the fashion industry and surveyed 295 European consumers to examine the study’s research model. We then analyzed the collected data using the partial least squares technique. Findings The results show that blockchain affordances positively affect consumption values, including efficiency, social impression, trust, and sustainability information clarity. In turn, these values influence the consumers’ purchase intention of sustainable products. Additionally, our post hoc analysis shows that these consumption values fully mediate the effect of blockchain affordances on consumers’ purchase intention, where trust and sustainability information clarity is found to have a higher impact. Originality/value Empirical research studies focusing on understanding blockchain’s effect on sustainable consumption values have been limited in prior literature. This study, drawing on the affordance lens, proposes distinct blockchain affordances and empirically validates their impact on consumers’ sustainable purchase intention. By integrating TCV, it highlights the mediating mechanism that drives blockchain’s impact on consumers’ purchase intention. We empirically identify the values that mediate the effects of blockchain affordances on consumers’ purchase intention; further, we discuss implications for research and practice based on the study findings.
Purpose This paper aims to investigate the emergence of blockchain-enabled traceability in complex multi-tiered supply chains, focusing on the perspective of upstream suppliers. Blockchain technology receives attention for its potential to enable better traceability and thus sustainability risk management, yet there is limited empirical evidence on how actual implementation unfolds. We aim to understand how blockchain adoption unfolds in practice, particularly in critical mineral supply chains that are critical to the sustainability transition yet linked to severe environmental and human rights risks and to explore the role of traditionally non-focal firms in this process. Design/methodology/approach Adopting a process-based case study design, our research is grounded in data collected through participant observation (>12 months) within an upstream mining company, supplemented by interviews and document review. Our study employs the complex adaptive systems (CAS) lens and uses an abductive approach for data analysis. Findings In our case, blockchain-based traceability in the cobalt supply chain was co-constructed over time, fundamentally driven by a large upstream supplier but enabled through supply-chain-spanning collaboration with like-minded downstream actors and successive expansion into the opaque midstream, enabled through a stakeholder alliance forum and formalized in the blockchain. We find, however, that visibility, standards, trust and follow-up capacities need to exist in their own right, ideally prior to blockchain implementation. Originality/value Our paper provides empirical insights from an upstream (vs downstream) perspective and investigates blockchain’s implementation (vs potential) to complement and ground existing research. Further, we extend the CAS framework by emphasizing agency and visible horizon of traditionally non-focal firms.
Eduardo Acosta Llano, Pia Hurmelinna‐Laukkanen, Lauri Haapanen
Purpose This study examines the intricate interplay of blockchain, public governance and the circular economy (CE), aiming to assess the potential of blockchain technology (BT) in addressing challenges associated with the adoption of CE principles, particularly in the public sector. Design/methodology/approach Focused on public governance, the research employs in-depth interviews with Finnish policymakers actively engaged in CE initiatives. Qualitative analysis is applied to derive insights and patterns from the gathered data, providing a nuanced understanding of blockchain’s transformative role. Findings The study uncovers key dimensions for leveraging blockchain in the CE within the public sector. Notable findings include the significance of contextual transparency, the use of incentivization as a regulatory tool, the role of standardization through strategic autonomy and the importance of public engagement and participation. Originality/value This research contributes a unique framework that illuminates the transformative potential of blockchain within the CE, emphasizing its relevance to public governance. The identified dimensions offer practical insights for policymakers and practitioners seeking to navigate the complexities of circular transitions in the public sector.
Abstract Although the significance of sustainable supply chain finance (SSCF) has been recognized, our knowledge of its antecedents remains limited. Drawing upon organizational information processing theory (OIPT), our research explores how blockchain technology adoption influences SSCF via supply chain visibility, and the moderating role of supply chain ethical leadership. We examine the proposed relationships employing survey data from 317 manufacturers in China. The findings indicate that blockchain technology adoption positively affects SSCF. Supply visibility and demand visibility partially mediate the influence of blockchain technology adoption on SSCF. Furthermore, supply chain ethical leadership undermines the positive influence of blockchain technology adoption on demand visibility. This research enriches our understanding of the antecedents affecting SSCF by offering insights from the perspective of OIPT.
Blockchain technology has brought innovation to supply chain management, particularly in managing carbon emissions in the manufacturing sector. However, there is a research gap regarding the policy tools and the role of local governments in implementing blockchain technology to achieve carbon emissions traceability. Additionally, the strategic relationships and policy implications resulting from the implementation of blockchain technology are not examined systematically. An effective method for examining the strategies used in interactions between supply chain stakeholders and governments is evolutionary game theory, or EGT. This paper employs mathematical modelling and MATLAB 2016 software simulation to examine the decision-making process of manufacturing companies when considering implementing blockchain technology traceability. Specifically, the subjects in the model include product manufacturers (PM), product suppliers (PS), and local governments (LGs). The aim is to examine the decision-making behavior of carbon traceability participants in blockchain technology. This paper analyses the most effective blockchain-based traceability strategies for low-carbon supply chain members under a variety of scenarios by modifying the parameters. The findings suggest the following: (1) Manufacturers and suppliers need to manage the cost of blockchain traceability, collaborate to create an environmentally friendly product certification system, and improve brand image. (2) Local governments should set up efficient reward and punishment systems to incentivize supply chain stakeholders to engage in the blockchain traceability system. The aforementioned discoveries furnish policymakers with guidance to encourage the implementation of blockchain-based carbon footprint traceability technology, thereby establishing a transparent carbon footprint traceability framework across the entire supply chain.
Consumers’ growing interest in the environmental and social impacts of products has increased demand for sustainable fashion items, particularly denim. Emerging technologies such as blockchain technology and labeling certifications have been developed to address sustainability issues by improving supply chain transparency and efficiency. This research investigates the trade-offs consumers make when purchasing sustainable denim jeans and the impact of sociodemographic factors on their decision-making process. Employing a conjoint analysis approach, four attributes were examined: price, brand name, types of materials, and eco-labeling. The results indicated that price is still the most influential factor, followed by material, brand name, and eco-label. Although eco-labeling is of little importance to consumers, it offers valuable insights for effective communication of sustainable practices. Consumers prefer denim with a blockchain eco-label, followed by a fair-trade certificate. This research enhances the understanding of consumer behavior toward sustainable consumption and offers strategic insights for denim producers and marketers.
Abstract A sustainable future entails addressing net‐zero emissions, which balances greenhouse gas emissions, thereby mitigating climate change. This study explores the relationship between the information quality, system quality, and service quality of blockchain‐enabled smart contracts (BSCs) with collaboration quality to achieve net‐zero emissions. The study further explores the role of collaboration quality in influencing the intention‐to‐use BSC and organizational satisfaction. The study employed the revised DeLone and McLean model and validated it with data from 434 respondents using structural equation modeling. The results validate all the hypotheses derived from the updated DeLone and McLean information system (IS) success model. There exist significant relationships between information quality, system quality, and service quality in the BSCs leading to collaboration quality to achieve net‐zero emissions. The study establishes the significant role of collaboration quality which positively impacts usage behavior and organizational satisfaction, mediated by the intention to use. The findings of this study offer insights for organizations and policymakers seeking to harness blockchain for environmental sustainability.
The field of sustainability accounting aims to integrate environmental, social, and governance factors into financial reporting. With the growing importance of sustainability practices, emerging technologies have the potential to revolutionize reporting methods. However, there is a lack of research on the factors influencing the adoption of blockchain and cloud-based sustainability accounting in China. This study employs a mixed-methods approach to examine the key drivers and barriers to technology adoption for sustainability reporting among Chinese businesses. Through a systematic literature review, gaps in knowledge were identified. Primary data was collected through an online survey of firms, followed by in-depth case studies. The findings of the study reveal a positive relationship between company size and reporting behaviors. However, size alone is not sufficient to predict outcomes accurately. The industry type also has significant but small effects, although its impact on reporting behaviors varies. The relationship between profitability and reporting behaviors is intricate and contingent, requiring contextual examination. The adoption of blockchain technology is positively associated with capabilities, resources, skills, and regulatory factors. On the other hand, cloud computing adoption is linked to resources, management support, and risk exposures. However, the specific impacts of industry on adoption remain inconclusive. This study aims to offer empirical validation of relationships, shedding light on the intricate nature of interactions that necessitate nuanced conceptualizations incorporating contextual moderators. The findings underscore the importance of providing customized support and adaptable guidance to accommodate the evolving practices in sustainability accounting. Moreover, the assimilation of technology and organizational changes highlights the need for multifaceted stakeholder cooperation to drive responsible innovation and address the challenges posed by digital transformations in this field.
The burgeoning interest in both the circular economy and blockchain technology has spurred numerous proposed integrations. Despite this enthusiasm, empirical research examining the practical feasibility and critical assessment of blockchain's potential within the circular economy remains limited. This study engages with eleven distinguished blockchain experts to critically analyze the prospects of technology integration across various facets of the circular economy, aiming to predict potential outcomes. Utilizing the Delphi method, this research seeks to attain a consensus on the experts' visions and opinions. The findings suggest a nuanced perspective: while certain integrations in the circular economy may face challenges and are unlikely to succeed, others could prove effective in the long term, provided specific conditions are met. When appropriately designed Tokenomics are in place, and the necessary level of digitalization is achieved, blockchain technology can significantly incentivize circular economy practices. However, the complete disintermediation of circular practices through blockchain is viewed as less feasible, owing to its reliance on external data providers.