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Collaborative networks (CNs) are joint entities of autonomous partners that work towards a common goal with shared resources and roles. In 2016, the United Nations announced 17 sustainable development goals (SDGs) as part of the 2030 agenda. SDG 17 is "Partnerships for the goals" highlighting the importance of cross-country and cross-company collaborative action. Although the link between CNs and sustainable development is frequently declared, no study in the literature investigates the connection between CNs and the SDGs. This systematic literature review (SLR) follows the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. Based on the SLR results, a context-interventions-mechanisms-outcomes (CIMO) framework for CNs is proposed, serving as a tool to comprehend the types of CNs to achieve the SDGs. Only 10 out of 77 articles mentioned the SDGs they address. The norm is to focus on a single SDG per study and not assess the dimension of the impact on the SDGs or the trade-offs that can be established between them. The most frequently mentioned SDGs in the text are SDG 9 and SDG 12, with only 2 articles focusing on the social dimension. SDG 10 and SDG 16 were not mentioned in any of the articles. The majority of articles are case studies and technical papers, developing scale-up solutions and creating value from waste. The identified gaps lead to the proposition of several potential research areas: 1) the need for developing mechanisms that allow CNs to effectively implement interventions that achieve specific SDGs; 2) the lack of studies incorporating the social dimension given the social nature of the SDGs; 3) few SDGs are addressed by CNs (particularly SDG 9 and SDG 12) and majority of SDGs are ignored; 4) there is a scarcity of studies targeting the tertiary sector; 5) the need for alignment of CNs' business models with the SDGs; 6) a lack of studies addressing specific SDGs (6, 10, and 16); and 7) the necessity of studies demonstrating collaboration between industry and academia for systemic change. The study aids decision-makers in identifying policies that facilitate the formation of CNs aligned with the SDGs. • This review of the state-of-the-art of CNs research within SDGs establishes a foundation for future research. • A conceptual framework for research on CNs within SDGs is designed. • A research agenda was presented based on what is emerging and what is missing from the literature. • Using the CIMO framework, prescription rules are established to guide actions or decisions. [ABSTRACT FROM AUTHOR]

Since the 17 Sustainable Development Goals (SDGs) were established in 2015, scientists have attempted to utilize them for sustainability assessments. This paper aims to synthesize the existing approaches in order to make recommendations for future utilization. A systematic literature review was conducted, focusing on innovations as the assessment object and including scientific papers as well as gray literature. Of the initially identified 603 documents, 30 articles contained precise descriptions of approaches utilizing the SDGs for the sustainability assessment of innovations. These approaches were analyzed in three sequential steps: categorization of the operational choices of SDG-based sustainability assessments, discussion of the advantages and disadvantages of these operational choices, and finally deriving recommendations for future utilization. We identified two main approaches: (1) integrating the SDGs into the sustainability assessment methodology or (2) subsequently assigning the assessment results to the SDGs. For the first approach, the SDGs were most frequently used as assessment criteria, but were also used to derive benchmarks or select indicators. In the second approach, assessment results were linked to goals, targets or indicators. The majority but not all articles clearly stated that all 17 SDGs were considered. The most frequently mentioned motivation for SDG utilization was to provide a holistic definition of sustainable development, followed by providing a precise description of sustainable development and international recognition. Only the integration of all 17 SDGs into the sustainability assessment conveys all three of these motivations. Hence, this approach is recommended for maximizing the utilization of SDGs when assessing the sustainability of an innovation. Subsequently assigning the assessment results to the SDGs is suggested as an alternative approach if the scientist's time and resources are limited. Since this approach predefines the SDGs that can be linked through the sustainability assessment methodology utilized, the holistic character of the SDGs is forfeited. More generally, the diversity of approaches found in the literature can be explained by several individual limitations and prerequisites. It is therefore recommended that authors document their research motivation transparently and justify the operational choices they made to fulfil it. This study contributes to the scientific community by (a) providing an overview of possible approaches for utilizing the SDGs in sustainability assessments of innovations and (b) providing recommendations for utilization based on a discussion of the advantages and disadvantages. [Display omitted] • Sustainability assessments of innovations utilizing SDGs were systematically reviewed. • Operational choices in SDG utilization were categorized. • More than 10 (sub-)categories of SDG utilization were identified. • Most frequent reason for utilizing SDGs is their holistic nature. • Holistic nature is transferred only by integrating all 17 SDGs into the assessment. [ABSTRACT FROM AUTHOR]

Manufacturing is both an essential pillar of China's economy and a significant source of environmental pollution, and there is an urgent need for the manufacturing industry to use green innovation to accelerate its goal of sustainable development. From the intellectual property protection (IPP) perspective, this paper uses Chinese manufacturing and its 26 sub-sectors as a sample from 2003 to 2018, examining the impact of two-way foreign direct investment (FDI) coordinated development in manufacturing green innovation capability. The empirical results suggest that two-way FDI coordinated development enhances manufacturing green innovation, and this finding still holds after endogeneity and robustness tests. Under the influence of IPP, the relationship between two-way FDI coordinated development and manufacturing green innovation capability is nonlinear. Under the influence of macroscopic, mesoscopic, and microscopic dimensions IPP, the effect of two-way FDI coordinated development on manufacturing green innovation capability is U, Steps, and N shaped respectively. This paper's findings can provide empirical evidence for the government to formulate industrial development strategies and for manufacturing enterprises to improve their green innovation capabilities to achieve sustainable development. [ABSTRACT FROM AUTHOR]

In the digital era, digitalization brings great opportunities and challenges for cities' environmental governance and economic growth. However, it is worth noting that the impact of digitalization on cities' green transition has not been studied from the perspective of Metcalfe's Law. This paper uses the principal component method and non-radial directional distance function (NDDF) to calculate the digital development level and the green economic performance of 269 Chinese cities from 2003 to 2019. (1) The empirical findings demonstrate that digitalization has become a strong driver for cities' green economic transformation. (2) Digitalization indirectly promotes green transition through industrial structure optimization and green technological innovation. (3) The heterogeneity results show that the positive effect of digitalization on green development is more obvious in eastern and economically developed cities. (4) Using the partially linear functional-coefficient model (PLFC), this paper studies the non-linear nexus between digitalization and green economic transition from the perspective of Metcalfe's Law. Thus, Metcalfe's law is confirmed in the green transition of Chinese cities. Some policy recommendations are offered for realizing the coordinated development of digitalization and greening of the urban economy. [ABSTRACT FROM AUTHOR]

Circular actions cannot be considered sustainable if their financial benefits are not demonstrated. While the environmental benefits of the circular economy have been widely studied, sustainable development from a financial point of view has been much less studied. In this paper we assess the financial benefits of circular innovations applied in the fashion industry that have been previously assessed as sustainable using the Life Cycle Assessment. The focus is on two innovative processes such as salt recovery and tannin baths reuse that reuse water, chemicals and raw materials in an Italian small company operating in the tanning industry. A cost benefit analysis was carried to evaluate the net contribution of these actions to the operating margin. Then we model a forward-looking cash flow projection in order to determine the fundamental value of circular investments. Through these practices, the company achieved an increase in operating profitability above 30% and the 10-year value of the salt recovery is 159,061.40 euros, while the reused tanning water equals just over one million euros. The results show unexpected and strong financial benefits that can leverage similar initiatives that would advance resource equity and finally promote a real and convenient industrial dedication to environmental guardianship. [ABSTRACT FROM AUTHOR]

In the emerging landscape of Industry 5.0, the integration of innovative technologies such as Cognitive Digital Twins (CDTs) is pivotal for steering industrial processes towards sustainability and inclusivity, particularly in developing nations striving to align with Sustainable Development Goals (SDGs). The study explores the transformative capabilities of CDTs in Industry 5.0, concentrating on India's quest for inclusive and sustainable industrialization in alignment with SDGs. The inclusion of the TOE-HOT framework enriches the research's analytical foundation, providing a nuanced perspective to investigate the multifaceted dynamics of technology, organization, environment, and human aspects within the sphere of industrial evolution. By employing the Best-Worst Method (BWM), Interpretive Structural Modelling (ISM), and MICMAC analysis, the study delves deep into the synergies between industrial strategies, technology, and sustainable development. The findings reveal the paramountcy of the Technological Dimension, emphasizing CDTs strategies like real-time optimization and data analytics, which are instrumental in dynamically adjusting manufacturing processes and fostering alignment with market demands. The research also stresses the roles of various CDTs strategies like strategic alignment, change management, job security, skill augmentation, and environmental compliance in industrial sustainability and inclusivity. The paper concludes with invaluable insights for policymakers, industry leaders, and researchers, emphasizing the necessity for a holistic, interconnected approach to fully harness the potential of CDTs in realizing the aspirations of Industry 5.0 and contributing to India's sustainable industrial advancement by 2030. [ABSTRACT FROM AUTHOR]

This paper is the inaugural attempt to investigate the herding behavior of firms in the context of environmental orientation to achieve the UN SDGs (Sustainable Development Goals) in the ASEAN region. Insights from the previous literature infer that peer effect is visibly seen in firms across various fields, especially amongst their CSR and ESG performance. Using data from the Thai listed firms, we document strong evidence of peer effects concerning environmental performance and its dimensions (emission reduction, product innovation, and resource reduction). The targeted time frame for the current study is from 2009 to 2019 for which we analyze the firms listed on the Thailand Stock Exchange (SET). Moreover, the results of our study support the fact that mimicking behavior is one of the common behaviors that is followed by the majority of the firms keeping in view their varied purposes which include enhancing their market reputation, increasing profits, attracting shareholders and investors and most importantly raising their sustainability standing. Thus, overall our study highlights the main perspective that peer effects and herding behavior a common practices amongst firms concerning their environmental policies. [ABSTRACT FROM AUTHOR]

Big data industry development and carbon dioxide emissions reduction are the crucial driver and objective functions of economic growth, respectively. Whether the two types of corresponding policies can achieve the "win-win" effect is the key to green development transformation in the future. However, little attention has been paid to the influence of big data industry development on carbon dioxide emissions. Based on the quasi-natural experiment in China's national big data comprehensive experimental area, the paper identifies the causal effect between big data industry development and carbon dioxide emissions. Specifically, the panel data of 282 cities in China spanning from 2010 to 2019 are used in regression analysis. The study reveals that the big data industry development has a substantial impact in reducing carbon dioxide emissions. Meanwhile, the findings are confirmed by a set of rigorous robustness checks. The heterogeneity analyses suggest that the effect of inhibiting carbon dioxide emissions due to the big data industry development is more significant in eastern & central China, and large-sized cities. In addition, the big data industry reduces carbon dioxide emissions through the effects of industrial structure optimization, technological innovation, and resource allocation. Our findings contribute to the nexus between big data industry development and carbon dioxide emissions. In light of these findings, the paper recommends that governments integrate economic growth and environmental protection policies by promoting big data industry development. • The paper provides a novel insight into the CO 2 emission from the perspective of big data industry. • Based on quasi-natural experiment, the paper has identified the causal effect between the big data industry development and CO 2 emissions with the Difference-in-Difference (DID) methodology. • Big data industry development effectively stimulate the reduction of CO 2 emissions. [ABSTRACT FROM AUTHOR]

Food, energy, and water, as the basic resources supporting human survival, are fundamental to the sustainable development of humanity. Urban space plays an influential role in promoting the sustainable development of the three resources. As environmental problems such as global warming, ecological destruction, and resource shortages become increasingly severe, there is also a growing recognition of the importance of community as the fundamental component of urban space in sustainable development. In order to systematically understand the impact between food–energy–water nexus and community spatial planning, this paper provides a comprehensive literature review to bridge the current gaps in this area. This paper uses the nexus approach to summarize the trends and results of the food–energy–water nexus research in the community space field from the following five aspects: spatial scale, spatial interface, interactions, synergistic effects, and research methods. The results show that food–energy–water systems in community space are closely related to each other. However, the existing studies mostly focus on resource interaction and environmental impact, and lack of discussion on how food–energy–water nexus affects community spatial planning and its optimization. Finally, based on the current results, this paper proposes a conceptual research framework of the food–energy–water nexus in community space including influential mechanisms, space utilization, disciplinary integration, new technology application, data and methods. Therefore, the major findings of this review highlight the importance of the impact between food–energy–water nexus and community spatial planning and develop a conceptual framework for research. • This paper reviewed the FEW nexus research in the community space field. • It shows that FEW systems in community space are closely related to each other. • Researchers mainly focus on interactions of the FEW but rarely on other constraints. • It summarized new FEW system integration approaches to promote synergistic effects. • A conceptual research framework for the FEW nexus in community space is proposed. [ABSTRACT FROM AUTHOR]

Industrial internet is an effective means to realize the green development of manufacturing industry. Whether the industrial Internet platform can improve the green innovation performance of enterprises is a very significant issue. Based on the Internet platform empowerment theory, this paper takes the industrial internet pilot demonstration project released annually by the Ministry of Industry and Information Technology in 2018–2021 as a quasi-natural experiment. By selecting the data of listed companies from 2011 to 2021 as research samples, this paper explores the impact of industrial Internet platforms on enterprises' green innovation performance. The findings indicate that the industrial internet platform dramatically improves enterprises' green innovation performance. And we also find that the impact of industrial internet platforms has greatly boosted the green innovation performance the enterprises with medium-and large-scale and situated in the first tier and new first tier cities. • Chinese industrial Internet pilot demonstration project is taken as a quasi-natural experiment. • The PSM-DID method is used in this paper. • Industrial internet platform can improve green innovation performance in enterprises. • Innovative capability plays an intermediary role between industrial internet platform and green innovation performance. [ABSTRACT FROM AUTHOR]

Rapid population growth and urbanisation have accelerated waste generation, and effective waste management has become a major challenge worldwide. With advances in technology and management methods, waste management strategies have begun embracing digitalisation, leveraging the Internet of Things (IoT), big data analytics, cloud/edge computing, machine learning, 5G communication, and blockchain technologies. Amongst them, the blockchain technology has the structural features of achieving information security and integrity without central guarantees. Blockchain also meets the data record/storage needs of waste management and the design of new mechanisms for effective waste management. These benefits make blockchain an attractive technology in the field of waste management, with researchers and practitioners alike investigating its broad applications to support sustainable waste management. However, this emerging technology has not yet been widely accepted by potential users. To further champion the application of blockchain technology, this review paper provides a systematic overview of the various pathways in which the technology has been applied in the waste management industry and further discusses its related challenges and opportunities via considering the promising prospect of combining blockchain technology with IoT, artificial intelligence (AI) and life cycle assessment (LCA). This review also provides insights for interpreting some emerging applications of blockchain in the field of waste management and clarifying the research paths in the context of blockchain, digitalised waste management, and circular economy. [Display omitted] • Impacts of blockchain technology on waste management have been substantial. • Recent development from blockchain's functional perspectives was surveyed. • There is a long way towards blockchain-based sustainable waste management. • Relevant challenges and opportunities in blockchain applications were discussed. • Outlooks in digitalised waste management and circular economy were clarified. [ABSTRACT FROM AUTHOR]

The rapid development of digital finance has profoundly changed the pattern of economic and social development, which is of great significance for the realization of the harmonious coexistence between humans and nature and for the promotion of sustainable development. This study measures the state of China's provincial ecological footprint from 2011 to 2019, combines the characteristics of digital financial development, and explores whether such development can promote sustainable development from an ecological footprint perspective. The results show that (1) China's provincial ecological footprint per capita, which was continuously aggravated, increased by an average of 29.15% during the sample period. Digital financial development is shown to be able to effectively suppress the ecological footprint, and an environmental inclusion effect is also observed, which helps achieve a win‒win solution for economic development and ecological conservation while promoting environmental equality. Endogeneity tests and other robustness tests indicate that causality holds. (2) Bridging the digital divide, the improvement of environmental constraints and government digital governance capacity can help amplify the marginal effects of digital finance and mitigate the ecological footprint. (3) Green technological innovation and green finance are critical paths to achieve sustainable development. Digital financial development can facilitate green-biased technological innovation and increase the scale of green credit effectiveness, thereby reducing the ecological footprint. In the future, digital technology should be used to achieve the precise sinking of financial resources, while the government's role in guiding sustainable development should be enhanced, the digital divide should be narrowed, and the role of digital finance in supporting sustainable development should be strengthened. • Using the latest improved methodology, this paper measures the provincial ecological footprint in China. • This paper investigates the impact of digital finance development on the ecological footprint. • Digital finance development can effectively mitigate the ecological footprint and has an environmentally inclusive effect. • The reasons for this are the green bias push of digital finance towards technological innovation and the increase in the scale of green credit effectiveness. [ABSTRACT FROM AUTHOR]

In recent years, green innovation has become an important means of achieving sustainable development, but the impact of peer firms on green innovation is less discussed. To fill this research gap, this paper explores the effect of peer firms on the green innovation activities of the Chinese A-share listed firms in the manufacturing industry from 2011 to 2020 and investigates influencing factors of peer effect. The main findings are as follows. First, there is a peer effect in making green innovation decisions. Second, industry competition has a positive moderating effect on the peer effect of green innovation. Third, digital financial inclusion and government intervention both promote the peer effect of green innovation. The peer effect is more significant with a high degree of digital financial inclusion. But the peer effect has no significant difference between different degrees of government intervention. This paper aims to explore the influencing factors of a firm's green innovation from the perspective of peer effect. The research results can provide a guide for the government to better promote green innovation activities of firms and benign competition in the industry. • A firm's green innovation activities are positively affected by industry peers. • Industry competition has a positive moderating effect on green innovation peer effect. • Digital financial inclusion and government intervention both promote the peer effect. • The peer effect is more significant with a high degree of digital financial inclusion. • The peer effect has no significant difference between different degrees of government intervention. [ABSTRACT FROM AUTHOR]

Globally, the interaction among innovation, tourism, and climate change has become a point of focus recently. This study examines the impact of innovation and tourism development on the sustainable development of the G7 economies. Panel data from 2000 to 2019 was analyzed for cross-sectional dependency, and a series of panel unit root tests were used to confirm the variables' unit root properties. Pedroni and Kao's tests confirm the cointegration relationship among the variables. The fully modified OLS and dynamic OLS results show that higher economic prosperity and lower environmental pollution are associated with innovation as measured in scientific publications and patents, highlighting the importance of innovation. The results highlight the positive significant impact of tourism arrivals on pollution reduction and economic expansion, which mark the steps for sustainable development. The study finds further evidence that asylum refugees did not positively contribute to economic prosperity, nor were they active in the environmental correction plans of the countries. The level of education provides strong evidence supporting sustainable development by encouraging economic growth and discouraging environmental degradation. Overall, the results recommend raising the level of innovation, tourism development, and higher technical education for the sustainable development of the G7 economies. These findings offer important contributions to firms, policymakers, and UN sustainable development agendas. [Display omitted] • The paper assesses the impact of innovation and tourism on sustainability. • The results show that innovation helps improve environmental quality. • The results reveal that innovation helps foster economic prosperity. • The paper finds that tourism helps in pollution reduction and economic expansion. • The results show that the level of education is important for sustainability. [ABSTRACT FROM AUTHOR]

The rapid development of digital finance has profoundly changed the pattern of economic and social development, which is of great significance for the realization of the harmonious coexistence between humans and nature and for the promotion of sustainable development. This study measures the state of China's provincial ecological footprint from 2011 to 2019, combines the characteristics of digital financial development, and explores whether such development can promote sustainable development from an ecological footprint perspective. The results show that (1) China's provincial ecological footprint per capita, which was continuously aggravated, increased by an average of 29.15% during the sample period. Digital financial development is shown to be able to effectively suppress the ecological footprint, and an environmental inclusion effect is also observed, which helps achieve a win‒win solution for economic development and ecological conservation while promoting environmental equality. Endogeneity tests and other robustness tests indicate that causality holds. (2) Bridging the digital divide, the improvement of environmental constraints and government digital governance capacity can help amplify the marginal effects of digital finance and mitigate the ecological footprint. (3) Green technological innovation and green finance are critical paths to achieve sustainable development. Digital financial development can facilitate green-biased technological innovation and increase the scale of green credit effectiveness, thereby reducing the ecological footprint. In the future, digital technology should be used to achieve the precise sinking of financial resources, while the government's role in guiding sustainable development should be enhanced, the digital divide should be narrowed, and the role of digital finance in supporting sustainable development should be strengthened. • Using the latest improved methodology, this paper measures the provincial ecological footprint in China. • This paper investigates the impact of digital finance development on the ecological footprint. • Digital finance development can effectively mitigate the ecological footprint and has an environmentally inclusive effect. • The reasons for this are the green bias push of digital finance towards technological innovation and the increase in the scale of green credit effectiveness. [ABSTRACT FROM AUTHOR]

In recent years, green innovation has become an important means of achieving sustainable development, but the impact of peer firms on green innovation is less discussed. To fill this research gap, this paper explores the effect of peer firms on the green innovation activities of the Chinese A-share listed firms in the manufacturing industry from 2011 to 2020 and investigates influencing factors of peer effect. The main findings are as follows. First, there is a peer effect in making green innovation decisions. Second, industry competition has a positive moderating effect on the peer effect of green innovation. Third, digital financial inclusion and government intervention both promote the peer effect of green innovation. The peer effect is more significant with a high degree of digital financial inclusion. But the peer effect has no significant difference between different degrees of government intervention. This paper aims to explore the influencing factors of a firm's green innovation from the perspective of peer effect. The research results can provide a guide for the government to better promote green innovation activities of firms and benign competition in the industry. • A firm's green innovation activities are positively affected by industry peers. • Industry competition has a positive moderating effect on green innovation peer effect. • Digital financial inclusion and government intervention both promote the peer effect. • The peer effect is more significant with a high degree of digital financial inclusion. • The peer effect has no significant difference between different degrees of government intervention. [ABSTRACT FROM AUTHOR]

Globally, the interaction among innovation, tourism, and climate change has become a point of focus recently. This study examines the impact of innovation and tourism development on the sustainable development of the G7 economies. Panel data from 2000 to 2019 was analyzed for cross-sectional dependency, and a series of panel unit root tests were used to confirm the variables' unit root properties. Pedroni and Kao's tests confirm the cointegration relationship among the variables. The fully modified OLS and dynamic OLS results show that higher economic prosperity and lower environmental pollution are associated with innovation as measured in scientific publications and patents, highlighting the importance of innovation. The results highlight the positive significant impact of tourism arrivals on pollution reduction and economic expansion, which mark the steps for sustainable development. The study finds further evidence that asylum refugees did not positively contribute to economic prosperity, nor were they active in the environmental correction plans of the countries. The level of education provides strong evidence supporting sustainable development by encouraging economic growth and discouraging environmental degradation. Overall, the results recommend raising the level of innovation, tourism development, and higher technical education for the sustainable development of the G7 economies. These findings offer important contributions to firms, policymakers, and UN sustainable development agendas. [Display omitted] • The paper assesses the impact of innovation and tourism on sustainability. • The results show that innovation helps improve environmental quality. • The results reveal that innovation helps foster economic prosperity. • The paper finds that tourism helps in pollution reduction and economic expansion. • The results show that the level of education is important for sustainability. [ABSTRACT FROM AUTHOR]

This paper describes a systematic literature review of how market-based instruments can influence the development of sustainable innovation. Our analysis of empirical papers published in selected peer-reviewed journals from 1992 to 2021 shows that contextual factors such as geography and industrial sector impact whether market-based instruments successfully stimulate firms to adopt sustainable innovation. Interestingly, while most of our selected papers on East Asia report positive effects of market-based instruments, about half of the papers on Europe report negative or non-significant effects. Moreover, we appear to uncover a link between the research method they use for analysis and the observed effectiveness of market-based instruments. We reflect on the limitations and bias in current methodological approaches and discuss explanations for our findings, implications for policymakers, and avenues for future research. • We review the effect of market-based instruments on sustainable innovation. • Results from 76 empirical papers show mixed effects. • The observed effect appears to depend on geography and the research method applied. • Instruments appear more effective in East Asia than in Europe. • Reported effectiveness is higher in studies using patent data versus surveys. [ABSTRACT FROM AUTHOR]

Frugal innovation can help to foster sustainability and address global challenges, like building economic growth, addressing various social needs, and protecting the environment. However, if one wants to measure the sustainability impacts of frugal innovation or enable companies to make empirically informed decisions between frugal and alternative innovation, the question of how to assess these empirical impacts arises. The main objectives of this paper are the identification of approaches and indicators for assessing the sustainability impacts of frugal innovation and the analysis of empirical findings relating to prior assessments. To this end, a systematic literature review was conducted, which identified 15 texts, and a qualitative content analysis was employed to evaluate their contents. From these analyses two main approaches for assessment emerged. First, the assessment based on the triple bottom line or the dimensions of sustainability (ecological, social, and economic). Second, assessment against the Sustainability Development Goals. In the identified texts, the sustainability dimensions are preferred over the Sustainable Development Goals for assessing the sustainability impacts of frugal innovation. From the 15 identified texts, 13 use qualitative indicators and two quantitative (conceptual) indicators. To answer the research question of the paper, a set of 47 qualitative indicators relating to integrated dimensions of sustainability for the assessment of the sustainability impacts of frugal innovation is proposed. In addition, this paper presents new insights relating to the empirical evidence of sustainability impacts of frugal innovation. Approximately 60% of 334 empirical findings from 70 different cases related to the Sustainable Development Goals contribute to the five (socially and economically focused) SDGs 8, 3, 10, 12, and 9. After a transformation to the Triple Bottom Line, these findings contribute predominantly to the economic and social dimensions (in each case 45%), and only slightly to the ecological dimension (the remaining 10%). In turn, 164 empirical results from 77 different cases related to the Triple Bottom Line show an almost similar contribution to all three sustainability dimensions with a small lead of the economic dimension. Nonetheless, in the opinion of the author, these findings confirm other studies, that from an empirical perspective, frugal innovation can be described as inherently socially and economically sustainable and ecological sustainability is mostly not the primary focus. [ABSTRACT FROM AUTHOR]

Whether financial agglomeration is conducive to eco-efficiency is of great importance for countries to better pursue cleaner production, low carbon emission reduction, and sustainable development paths. This paper focuses on 38 Organization for Economic Co-operation and Development (OECD) members. Based on the scientific accounting of green eco-efficiency by the super-efficiency slack-based measure (SBM) model, the relationship between financial agglomeration and eco-efficiency is thoroughly investigated by combining the spatial Durbin model (SDM), the mediating effects model, and the panel threshold regression (PTR) model, bridging the knowledge gap. Empirical results reveal that (1) Financial agglomeration has strong positive externalities for eco-efficiency in the home country and its neighbors, with the trickle-down effect playing a key role. (2) Financial agglomeration can indirectly promote cleaner production and eco-efficiency by strengthening technological innovation and upgrading industrial structure, with the latter being more strongly mediated. (3) The effect of financial agglomeration in enhancing eco-efficiency has clear stage differences. The low-level financial agglomeration will impede the improvement of green eco-efficiency while the high-level will support it, which is in line with the Environmental Kuznets Curve theory and the law of economic development. The research broadens the theoretical underpinnings of financial agglomeration and eco-efficiency and provides guidance and implications for OECD members and other emerging economies on how to optimize the spatial allocation of financial resources, promote eco-efficiency, and advance green sustainable development. [Display omitted] • The eco-efficiency of 38 OECD members was estimated. • The impact of financial agglomeration on eco-efficiency was examined quantitatively. • The spatial Durbin model considering potential spatial spillover effects was employed. • Technology innovation, industrial upgrading, and urbanization may affect eco-efficiency. • Financial agglomeration can greatly boost eco-efficiency, but the relation is non-linear. [ABSTRACT FROM AUTHOR]

Recently, cleaner production (CP) has attracted more attention from developing countries because of its various advantages. However, due to the lack of management constraints, CP activities often cannot keep efficient for long. To alleviate this problem, we put forward the cleaner production management (CPM) system and applied it in China. Based on our previous research, this paper constructed a comprehensive performance evaluation system to effectively supervise the implementation effect of CPM system. By analysing the flows of material, energy and information, a multi-level index system integrating the CPM requirements and sustainable development needs was established. And the quantification of performance was realized by combining the analytic hierarchy process and grey relational degree operation, which reliability was confirmed by sensitivity analysis. The case study in Chinese steel enterprise showed that after implementing CPM system for three years, the overall performance level increased by about 25%. It has confirmed that the application of CPM mode could obviously promote the sustainable green development of the steel enterprise and provide the directions for carrying out CP plans in the next step, such as strengthening innovation of management system and improving employees' awareness of CP activities. In the context of enterprises seeking sustainable development, CPM system and performance evaluation possess broad application value. [Display omitted] • Quantitative evaluation of a new management system integrating cleaner production. • Case study of the cleaner production management system applied in steel enterprise. • An index system focused on the green sustainable development benefits. • A performance evaluation method combining AHP and grey relational analysis. [ABSTRACT FROM AUTHOR]

Scholars, governments, and society are interested in how entrepreneurship and innovation can help overcome the challenges that humanity is facing. Investment has been done to search new business models for sustainable development. But theory still needs progress to examine and support practice. This paper poses a taxonomy based on the social entrepreneurial theory to offer a classifications structure, helping theoretical consolidation. It also enlarges the research focus by describing changes in the Portuguese social economy, highlighting the relationship between incumbent and new SEIs. The research design relies on several statistical steps to comply with topic complexity and delivery a structure that allows further replication. Exploratory factor and cluster analyses provided the information structure, confirmed by MANOVA and post-hoc tests. A social entrepreneurial initiative (SEI) can be Persistent, Innovative or stuck in the middle., Persistent SEI are the best when the innovation regards risk and cost reduction. If the main goal is to solve a critical social problem or sustain effective social change, the solution will be riskier and more expensive. In that case, Innovative SEIs are the best. It is hard to cut cost and go for innovations simultaneously, so SEIs stuck in the middle tend toward underperformance. • We pose a taxonomy to classify business models as Persistent, Innovative, or stuck. • Exploratory factor analyses and cluster analyses provide the taxonomy structure. • MANOVA and post-hoc tests confirm the taxonomy. • It highlights incumbent and new initiatives relationship (31.3% increased). • The results favor sustainable development to help in solving social problems. [ABSTRACT FROM AUTHOR]

The digital economy is becoming increasingly important in the field of carbon governance. However, there is little literature examining the relationship between the digital economy and clean energy development. This paper aims to fill this gap by exploring the relationship between the digital economy and clean energy and its spatial effects. We explored the effects of the digital economy using adouble fixed effects model and a spatial econometric model using 276 cities in China from 2011 to 2019 as the original data. We find that the digital economy can drive clean energy development. Technological innovation and city bank loans play an important mediating role in this. Second, we find that market-driven amplifies the positive effects of the digital economy compared with government intervention, and the effects of the digital economy are different under different regions. Finally, we find that the digital economy can drive clean energy not only in local cities, but also indirectly in neighboring cities. These facts suggest that the digital economy is an important way to drive clean energy development and thus effectively achieve sustainable development. Our study provides new ideas for building digital economy and clean energy development in emerging developing countries such as China. [ABSTRACT FROM AUTHOR]

Controlling carbon emissions and sustaining growth constitute essential concerns in the post-financial crisis era combined with low-carbon sustainable development. However, the impact of financial development on carbon emissions remains controversial and lacks mechanisms investigation covering finance spatial attributes. Relying on China province's data during 2005–2019, this paper contributes to the literature by constructing multi-spatial models to investigate how financial geo-density mitigates carbon emission intensity and explore the spatial transmission mechanisms. The results reveal that there is a balance between financial geo-density and carbon emission intensity. The intrinsic mechanisms include: (1) raising financial geo-density is accompanied by the law of marginal diminishing carbon emission intensity tendency; (2) high financial geo-density accelerates technological innovation and industrial structure upgrading, thereby decreasing carbon emission intensity, but drives industrial-scale expansion, thereby increasing carbon emission intensity; and (3) financial institution competition and inter-industry linkage notably influence the relationship between financial geo-density and carbon emission intensity, promoting the emission reduction effect of financial geo-density in accelerating technological innovation and industrial structure upgrading, and suppressing the emission increase effect of financial geo-density in driving industrial expansion. Our findings provide new insights for developing systemic emission reduction policies for employing financial sectors as catch-all and integrating industries and competition. • Mechanism analysis of financial geo-density affects carbon emission intensity (IC). • Propose an integrated spatial model including spatial mediated moderating effects. • Financial geo-density drives IC by industrial-scale expansion. • Reduce IC by technological innovation and industrial upgrading. • Financial institution rivalry and inter-industry link mitigate total driven effect. [ABSTRACT FROM AUTHOR]

This paper provides an in-depth understanding of the mechanisms of green finance on green innovation, focusing on their spatial and non-linear relationships. Using panel data of 30 provinces of China during the period of 2009–2017, a green finance index is constructed, and the spatial Durbin model and panel threshold model are used. The results reveal that: (1) Green finance and green innovation had significant positive autocorrelation, and the development of green finance in provinces of central and western China were still in the lower-level range. (2) The coefficients of the direct effect and indirect effect of green finance on green innovation were significantly positive, which indicated that green finance was conducive to enhancing green innovation in local and adjacent provinces during the research period. (3) Double threshold effects of green finance on green innovation were observed, which demonstrated that the driving effect of green finance was decreased with the raising of intensity of environmental regulation. The implication of these results is that government should make full use of the radiation and trickle-down functions of green finance and green innovation to narrow regional gaps in sustainable development while maintaining a moderate intensity of environmental regulation. • A green finance index of 30 provinces of China during the period of 2009 to 2017 was constructed on the basis of green credit, green securities, green insurance, and green investment. • The heterogeneity of region and time for green finance were analyzed employing the spatial exploratory analysis, which manifested that the spatial evolution of green finance in China presents a gradient decreasing pattern from east to west. • The impact of green finance on green innovation was explored by the spatial Durbin model, which proved that the direct effect and the spatial spillover effect were significantly positive. • Moderate intensity of environmental regulation helps green finance promote green innovation and this value should not exceed a maximum of 0.935. [ABSTRACT FROM AUTHOR]

China has incorporated green technology innovation into its national development strategy based on its national conditions and development needs. The emission permit system is a typical environmental regulation, and one of the driving forces of green technology innovation. Research into the pollution discharge permits system is a key for improving environmental regulations. This study seeks to investigate the impact of pollution permits system on green innovation in China. Using econometric methods, we constructed and tested the model of green technology innovation incentives based on the emission permits system, and applied it to several Chinese counties and districts. The results revealed shortcomings in implementation of the emission permits system in various counties and districts. From a governmental perspective, this was due to poor standardization of management processes and insufficiently innovative supervisory methods. On the corporate side, problems included poor auditing of law enforcement plans, poor implementation of the ledger system, and a lack of disclosure of pollution data. We propose comprehensive strategies to address these issues. This paper explores the emission reduction potential of the pollution discharge permits system at the county level, in accordance with the Porter hypothesis, and provides reference data for the formulation and optimization of energy conservation and emission reduction policies. This will promote green development of the chemical and other industries, and green technology innovation in China. • We explore the pollution discharge permits system at the county level. • We construct a model of the impact of pollution discharge permits system. • We put forward some strategies for promoting green technology innovation. [ABSTRACT FROM AUTHOR]

As the world second largest economy, China aims at achieving high-quality and innovation-driven development. This paper investigates the effects of different technological innovations on green productivity in 261 Chinese cities from 2004 to 2017. We employ the super-efficiency Epsilon-based measure (EBM) model with undesirable outputs under meta frontier and a global Malmquist-Luenberger (GML) index. We decompose the GML index into efficiency change (GEC) index and technology change (GTC) index to measure the dynamic changes of China's urban green development. Results showed that the average GML index is 0.924 thereby, indicating China's urban green development is at a decreasing trend. The eastern region had the highest GML index among three regions followed by the western region. Moreover, we explored the determinants of urban green productivity through panel quantile regression and found the heterogeneous impacts of different technological innovations on green productivity. Invention patents and design patents positively affected the urban green productivity while utility patents exerted a significantly negative influence. Invention patents promoted the GTC and GEC index while utility patents impeded at some quantiles. FDI yielded both "Pollution Halo Hypothesis" and "Pollution Heaven Hypothesis" effects. Invention, utility and design patents all have threshold effects on China's green productivity. [ABSTRACT FROM AUTHOR]

This paper aims at distinguishing the effects of different types of environmental regulations on different ways of green technology innovation behaviors and whether industrial agglomeration has a moderating effect. In this study, the theoretical framework of "Environmental regulation stimulates green innovation intention, while green innovation intention promotes green innovation behavior" is constructed, the mediating effect of green technology innovation intention is studied, and moderating effect based on industrial agglomeration is also analyzed. The empirical results show that controlling environmental regulation has a more significant influence on the green innovation intention compared to incentive regulation. The green innovation intention plays a mediating role in the logic chain of environmental regulation and green innovation behavior, which verifies the hypothesis of "incomplete environmental regulation" to some extent. Industrial agglomeration plays a positive moderating role in the logic chain of "environmental regulation—green innovation intention—green innovation behavior". It is proven that in the face of strict environmental regulations, the geographical proximity accelerates the diffusion of green knowledge and technology and stimulates intention and enthusiasm of enterprises towards green innovation. Our research lays a solid foundation for enterprises to realize cleaner production and government to formulate policies to realize circular economy and sustainable development. [Display omitted] • Innovation intention plays a mediating role between regulation and behavior. • Controlling regulation has a more significant influence on innovation intention. • Industrial agglomeration plays a positive moderating effect in logical chain. • Agglomeration has a greater moderating effect on green product innovation. [ABSTRACT FROM AUTHOR]

There is now evidence of a growing demand for green product innovation (GPI), leading to reduced negative environmental effects. This context is an opportunity for the organizational reconfiguration of companies in the manufacturing sector to accommodate these new product attributes and characteristics. Although the identification of the determinants of GPI has improved, its characterization is still fragmented and there is limited coherence in terms of the administrative approach leading to GPI development. The main purpose of this paper is the selection and configuration of the determinants of GPI and their organization into an innovation management model. This is achieved by identifying and categorizing the determinants of GPI in association with green innovation capabilities (GIC) and organizational dimensions (OD). The results provide a set of determinants of GPI, paving the way for organizational challenges, the adaptation and definition of new GIC, and the selection of green-oriented OD. All the above is represented in a framework showing the structural relationships and operationalized in a matrix product of the taxonomy referring to how the determinants of GPI affect GIC and OD, thus facilitating the definition of the variables that assess the progress of the company in pursuit of GPI. This research contributes in the field of management and organizational theories for the managerial transition to sustainable development from the dynamics typical of innovation. It also widens the scope of study for researchers, manufacturing company managers, and governmental bodies responsible for environmental management. [ABSTRACT FROM AUTHOR]

To achieve sustainable economic development, many developing countries have continuously tightened their environmental regulations; for example, the Chinese government revised some policies to protect the environment, such as the Environmental Protection Law, and levied environmental taxes. Will these regulatory tools affect the growth of the industrial economy? What are the differences in the influence of various types of environmental regulations? Based on city-level panel data from China, this paper applied a difference-in-difference (DID) model and a bootstrap panel Granger causality test to investigate the relationship between two types of environmental regulations (command-and-control environmental regulation and market-Based incentive environmental regulation) and industrial growth. The results show that (1) Command-and-control environmental regulation (CAC) has a significant inhibitory effect on industrial growth. (2) In most regions, there is no significant Granger causality between market-based incentive environmental regulation (MBI) and industrial growth. (3) Compared with command-and-control environmental regulation, market-based incentive environmental regulation allows more flexibility for enterprises, which is more beneficial for technological innovation. Meanwhile, market-based incentive environmental regulation does little to suppress industrial growth. • Environmental regulation are subdivided into the MBI(Market-Based Incentive) and the CAC(Command and Control). • We reflect the influence of the CAC environmental regulation on overall industrial performance to the industrial growth. • It investigates the relationship between the two types of environmental regulations and industrial growth respectively. [ABSTRACT FROM AUTHOR]