Green process innovation, green product innovation and its economic performance improvement paths: A survey and structural model

Growing success with sustainability: The influence of green HRM, innovation, and competitive advantage on environmental performance in the manufacturing industry

President Xi set a long-term mitigation target of carbon neutrality by 2060 in September 2020 to cut carbon emissions and improve environmental performance. As a result, the current study aims to investigate how green human resource management and green innovation affect environmental performance in pursuit of the ultimate objective of carbon neutrality. Furthermore, the research considers the potential mediating effect of a green competitive advantage to clarify the mechanisms by which GHRM and green innovation impact environmental performance. Data from 278 employees in the manufacturing industry of Heilongjiang Province were collected through a questionnaire, for which we used a quantitative random sampling technique. The study employed the Smart PLS-4 structural equation modeling technique and revealed that all three factors significantly influenced environmental performance: green HRM, innovation, and competitive advantage. Resource-based view (RBV) theory served as the theoretical foundation for the study. The study uniquely contributes to the literature on GHRM, green innovation, competitive advantage, and environmental performance.

Green innovation and enterprise digital transformation: Escape from the "dilemma" of development and governance choices

The digital economy is now the expected norm for economic development, warranting strategic importance for enterprise digital transformation. Nonetheless, enterprises have a lengthy journey to embark upon for digital transformation. On the one hand, resource-based demands pose a significant challenge due to the development characteristics of the initiative; on the other hand, excessive emphasis on economic gains may result in severe environmental issues. Therefore, this paper examines whether green innovation, which combines environmental and economic benefits, can effectively address the above dilemma. The study includes all A-share listed companies from 2010 to 2020 as the research sample, and empirically investigates the impact of green innovation on enterprise digital transformation and its mechanism based on resource-based view. The study concluded that (i) green innovation has a significant positive impact on corporate digital transformation performance, exhibiting asymmetric effects. The robustness tests confirmed the validity of the findings. (ii) Enterprises that actively engage in green innovation can effectively reduce their financial constraints, enhance their operational capacity, and enable the efficient allocation of resources, thereby promoting digital transformation within the enterprise. (iii) There is a regional imbalance in the conversion of green innovation performance into economic performance. The aforementioned results offer fresh insights for investigating the connection between green innovation and digital transformation. Additionally, these findings hold significant implications for the discourse on the synergistic advancement of the environment and economy.

National innovative city and green technology progress: empirical evidence from China

In this paper, a quasi-natural experiment of national innovative city pilot policy (NICPP) is carried out to investigate the impact of the NICPP on green technology innovation (GTI) and its intrinsic mechanism with the method of difference-in-differences. It is found that the NICPP significantly enhances GTI, and there is a certain lag and persistence in this effect. Heterogeneity analysis shows that the higher the administrative level and the more the geographical advantages of NICPP, the more obvious the driving effect of GTI. The mechanism test shows that the NICPP has an effect on the GTI through three channels: innovation factor input, agglomeration effect of science and technology talent, and entrepreneurial vitality empowerment. The findings of this study provide policy insights for further optimizing the construction of innovative cities and then promoting GTI development, ultimately realizing green dynamics transformation and high-quality development of China's economy.

Natural resources-environmental technology-ecological footprint nexus: Does natural resources rents diversification make a difference?

Researchers have shown a growing interest in investigating the environmental consequences of energy exploitation and green technologies, particularly in light of the escalating severity of climate change issues in recent times. However, these researches remain incomplete in terms of the various elements and mechanisms of impact. By assessing the novel facet of resource diversification, this study has assessed the direct and indirect effects of this feature on environmental quality. This study used the Moment quantile Regression technique to examine data from 31 OECD nations spanning the time frame of 2009-2019. The findings indicate that resource diversification has an adverse effect on environmental quality, however this effect is not homogeneously observed across all countries. Countries with favorable environmental conditions will encounter a more pronounced influence from the diversification of natural resources extraction. This study further demonstrates that expanding the variety of natural resource exploitation will amplify the negative effects of resource exploitation on environmental quality. Furthermore, the degree of environmental technology exerts a beneficial impact on environmental quality across various degrees of environmental quality. Our findings offer several insightful policies for natural resources management in the context of the ongoing industrial revolution.

Transportation infrastructure upgrading and green development efficiency: Empirical analysis with double machine learning method

In order to deal with the environmental problems such as pollution emissions and climate change, sustainable development in the field of transportation has gradually become a hot topic to all sectors of society. In addition, promoting the green and low-carbon transformation of China's transportation is also an important issue in the new era. Thus, it is particularly important to correctly identify the green effect of high-speed rail. However, the traditional causal reasoning model faces several challenges such as 'dimensional curse' and multicollinearity. Based on the panel data of 283 prefecture-level cities in China from 2003 to 2019, this study uses the double machine learning model to explore the impact of transportation infrastructure upgrading on the efficiency of urban green development in China. The research shows that the upgrading of transportation infrastructure can effectively improve the efficiency of urban green development by 4%. Service industry agglomeration and green innovation are verified as two mediating channels. Moreover, the synthetic difference in difference model is employed to evaluate the regional impact of high-speed rail, and finds that the regional impact of transportation policies often exceeds the impact of individual cities. We further apply the conclusions of this paper to the research at the micro enterprise level. Goodman-Bacon decomposition and a variety of robustness tests confirm the validity of our conclusions. The study's comprehensive empirical analysis not only validates the positive effects of transportation upgrades on green development, but also offers novel insights into the underlying mechanisms and policy implications of transportation upgrading.

Enhancing urban ecological resilience through integrated green technology progress: evidence from Chinese cities

The effective resolution of environmental pollution caused by carbon haze through coordinated progress in green technology and urban ecological resilience is a crucial approach towards promoting sustainable development in Chinese cities. In this study, panel data from 281 cities in China from 2007 to 2019 were analyzed using the entropy method and the coupling coordination degree model to determine the coupling coordination degree between green technology progress and urban ecological resilience. The coordinated influence model and threshold model were applied to investigate coupled coordination types and influencing factors. Results indicate that green technology progress levels have shown an upward trend with increasing volatility from east to west and decreasing volatility with urban scale expansion. Ecological resilience levels have also steadily increased, albeit at a reduced rate. The coupling coordination degree of green technology progress and urban ecological resilience has evolved overall from low to high levels; however, the coupling coordination type has regressed to some extent, with most regions exhibiting lagging green technological progress. Pressure resilience has a positive impact on the coupling coordination degree, while state resilience and response resilience have a negative impact. Green technology progress has a dual threshold effect on the coupling coordination degree. By exploring the coupling and coordination mechanism between green technology progress and urban ecological resilience, this study not only facilitates collaborative management of pollutants and greenhouse gases in cities but also provides a comprehensive reference for the construction of an institutional system for collaborative carbon and haze management.

State-owned capital and quality of green innovation: Evidence from Chinese listed private firms

Green innovation is pivotal for global sustainability, with state-owned capital playing a significant role, especially in the Chinese corporate landscape. This study, spanning 2008 to 2020 and leveraging a comprehensive dataset of listed companies, explores the intricate relationship between state-owned capital and the quality of green innovation in Chinese private enterprises. Motivated by the imperative to address crucial issues in green innovation quality in China, this research utilizes empirical data to uncover the mechanisms through which state-owned capital fosters green innovation. The study reveals how state-owned capital optimizes internal governance structures and reinforces environmental consciousness within private firms. Findings underscore the crucial role of state-owned capital in enhancing the quality of green innovation in private enterprises, operating through two primary mechanisms. Firstly, state-owned capital cultivates a heightened inclination towards green innovation within these firms. Secondly, it facilitates the adoption of enhanced internal governance practices, catalyzing the development of high-quality green innovation projects. A battery of mechanism tests provides robust evidence that state-owned capital enhances environmental awareness, restrains self-serving behaviors among major shareholders, mitigates financing constraints, and amplifies the motivation and capability of private enterprises for green innovation. This multifaceted approach ultimately fosters high-quality green innovation within companies. The study reveals the subtle interplay between state capital and private sector green innovation, highlighting its relevance to policymaking and practical considerations. It provides valuable insights into the ongoing pursuit of sustainability and the integration of green practices into the corporate world.

Artificial intelligence and green product innovation: Moderating effect of organizational capital

Green product innovation (GPDI) is crucial for addressing ecological issues and essential for enterprises' green operations and long-term growth. Digitization offers new possibilities for enhancing corporate green practices. Nevertheless, previous studies have predominantly addressed the association between overall digitalization and corporate green innovation, and research on the outcome of specific digital technology categories on green innovation is lacking. Within this framework, this study broadens the investigation into the connection between distinct categories of digital technologies and corporate green innovation. The period 2013-2022 was selected as the sample observation period, with companies listed on China's A-share market as the study objects. The fixed-effects model was applied to investigate the impact of artificial intelligence (AI) on firms' GPDI while exploring the interaction effect of firms' organizational capital. The findings indicate that AI is beneficial to GPDI in businesses. This effect is enhanced by employee and board human capital but diminished by board social capital. These results remained valid after two-stage least squares regression. This study broadens the utilization of the resource-based view and dynamic capacity theory in business implementation. Furthermore, it extends the resulting study of AI and provides a digital enhancement pathway for corporate GPDI. This study has significant theoretical and practical implications.

Get the win-win: Sustainable circular model of 'generation-value-technology' of industrial solid waste management

The management of industrial solid waste (ISW) and promoting sustainable circular development of the industrial economy is an urgent priority today. Therefore, this article constructs a sustainable circular model of 'generation-value-technology' of ISW management through the lens of industrial added value (IAV) and technology level. Also, the importance of the role of government is considered in the model. Based on actual data of China, this article simulates the future trend of the model using a system dynamics approach. The chief findings of the study are as follows: (1) under the current policy, China's future industrialization is increasing and the technological level of industrial enterprises is rising, but this is accompanied by a climb in ISW generation. (2) The win-win situation of ISW decrease and IAV increase can be achieved through enhanced information disclosure, technology innovation and government incentives. (3) Government subsidy should be oriented towards supporting technology innovation in industrial enterprises while reducing the proportion of incentives for ISW management results. Based on the results, this study proposes targeted policy implications for government and industrial enterprises.

Determining the green technology innovation accelator and natural resources towards decarbonization for the EU countries: evidence from MMQR

Gearing up for green technology innovation (GTI) and natural resources has become even more important in the transition to a zero-emission life, a green economy, and sustainable development goals. This attempt has become a situation that needs to be overpowered much sooner by the European countries, which have encountered challenges in many ways, especially regarding natural resources, energy supply, and the climate crisis. In this vein, the current study follows the novel, robust Method of Moment Quantile-Regression (MM-QR), which successfully yields heterogeneous information structure across quantiles, to examine the determinants of GTI for 15 EU countries over the period of 2003-2018. MM-QR estimation results indicate that the determinants of green technology innovation are heterogeneous across the EU countries. While green growth (GG) has an adverse impact on GTI in middle- and high-GTI countries, the effect of ecological footprint on GTI is positive for countries in the highest-GTI countries. The positive effects of financial development (FD) on GTI are revealed for all countries. Remarkably, environmental taxes have an adverse and positive influence on GTI in the lowest and highest quantile countries, respectively. Finally, renewable energy and greenfield FDI have no effect on GTI. Governments can promote GTI by providing financial resources, in the most immaculate way, to firms that engage in green technology projects, as well as by encouraging these through environmental taxes.

Disentangling circular economy practices and firm's sustainability performance: A systematic literature review of past achievements and future promises

This paper systematically and critically reviews the literature on the intersection of circular economy practices (CEPs) and sustainability performance (SP). We synthesize and analyze the extant literature to uncover the knowledge gaps, highlight the contradictory views, and provide a comprehensive overview of the field. Following a detailed database search, we selected 104 empirical studies published in peer-reviewed journals for analysis. Our review reports the publication trends, top publishing journal outlets, research methodologies, and empirical contexts. We outline the theoretical underpinnings, identify the diverse circular economy practices and the key factors that impact circular economy practices and sustainable performance. The review shows a propensity for most authors to reuse established theories or not use theory at all, revealing the need for theory development. Furthermore, our analysis revealed that R&D and innovation, digital technologies, organizational capabilities/resources, and stakeholder and institutional pressure substantially influence the CEPs - SP relationship. Through our detailed assessment of the existing literature, we identified and proposed several themes and avenues for future research.

Does the patent value of green technology affect its transfer? The moderating role of industry competition

Green technology transfer can improve the economic benefits accrued by firms and promote regional green development. Patent value can comprehensively reflect the development prospects of green patents and is an important indicator for predicting green technology transfer. In order to explore the impact of patent value on green technology transfer, this study used a sample of 16,169 green technology patents from Chinese manufacturing industry, which were analyzed using the binary logistic regression model. The results suggest that the technical and economic value of green technology patent positively impact green technology transfer, while the effect of legal value is opposite. Industry competition strengthens the negative impact of the legal value of green technology patents on green technology transfer and weakens the positive impact of green technology patent's economic value. This study explores the factors impacting firms' green technology transfer from a value perspective and proposes suggestions for the transformation of green technology in firms.

From Covid-19 to conflict: Does environmental regulation and green innovation improve industrial sector decarbonization efforts and environmental management?

During the COVID-19 period, industrial production was slowed or halted due to COVID restrictions and lockdowns, followed by global tensions and conflicts, which created uncertainties for industrial production. Similarly, during this period, the growth in carbon emissions was seen shrinking. However, it is greatly important to explore whether this shrinking trend will continue or whether a new growth pattern could emerge. Considering this, the research was carried out to investigate the relationship between green innovation initiatives and environmental regulations in the process of environmental management and environmental performance in the industrial sector. To do so, the survey-based research methodology using PLS-SEM was adopted, and data was gathered from 279 managers working in the equipment manufacturing industry. Our empirical findings revealed that environmental regulation and green innovation efforts strengthen decarbonization efforts, which further improve environmental management and environmental performance. The mediating role of decarbonization efforts was found to be prominent among green process innovation, environmental management and environmental performance. Moreover, decarbonization serves as a mediator between green product innovation and environmental management. In contrast, we could not verify that decarbonization mediates the relationship between green product innovation and environmental performance. The key findings are greatly important and provide a fresh roadmap for environmental management in the post-COVID era.

Translating environmental corporate social responsibility into environmental performance and competitive advantage: a moderated mediation model

Organizations are extending their corporate social responsibility (CSR) practices to environmental corporate social responsibility (ECSR) to cope with environmental challenges. Yet, the process of translating ECSR into positive organizational outcomes is underdeveloped in the literature. The literature often ignored key boundary conditions, leaving the underlying mechanism underdeveloped. This research makes up for the deficiency by investigating the impact of ECSR on environmental performance and competitive advantage through the mediation of green product innovation and by examining important boundary conditions in a moderated mediation model. We collected data from 151 manufacturing companies using judgmental and snowball sampling to ensure that the target organizations perform certain ECSR activities and analyzed it using partial least square structural equation modelling (PLS-SEM). The findings reveal that ECSR leads to competitive advantage (CA) and environmental performance (EP) through green product innovation, and this indirect path is moderated by organizational agility. The findings add substantial value to the literature by documenting the impact of ECSR on CA and EP with moderated mediation paths. The study also offers implications for policymakers and managers to amplify the impact of ECSR on favorable organizational outcomes.

The impact of green technology innovation on carbon dioxide emissions: The role of local environmental regulations

Environmental pollution has become a global issue attracting ever-increasing attention. Green technology innovation (GTI) is considered an effective strategy in countering this problem and helping achieve sustainability goals. However, the market failure suggests that intervention from the government is necessary to promote the effectiveness of technological innovation and hence, its positive social impacts on emissions reduction. This study investigates how the environmental regulation (ER) influences the relationship between green innovation and CO₂ emissions reduction in China. Employing data from 30 provinces from the period 2003 to 2019, the Panel Fixed-effect model, the Spatial Durbin Model (SDM), the System Generalised Method of Moments (SYS-GMM) and the Difference-In-Difference (DID) models are applied to take issues relating to endogeneity and spatial impact into consideration. The results indicate that environmental regulations positively moderate the impact of green knowledge innovation (GKI) on CO₂ emissions reduction but have a much weaker moderation effect when green process innovation (GPI) is considered. Among different types of regulatory instruments, investment-based regulation (IER) is the most effective in promoting the relationship between green innovation and emissions reduction, followed by command-and-control-based regulation (CER). Expenditure-based regulation (EER) is less effective and can encourage short-termism and opportunistic behaviour among firms, who can accept the paying of fines as a cheaper cost over the short-term than investment in green innovation. Moreover, the spatial spillover effect of green technological innovation on carbon emissions in neighbouring regions is confirmed, in particular when IER and CER are implemented. Lastly, the heterogeneity issue is further examined by considering differences in the economic development and the industrial structure across different regions, and the conclusions reached remain robust. This study identifies that the market-based regulatory instrument, IER, works best in promoting green innovation and emissions reduction among Chinese firms. It also encourages GKI which may assist firms in achieving long-term sustained growth. The study recommends further development of the green finance system to maximise the positive impact of this policy instrument.

The impact of green innovation initiatives on competitiveness and financial performance of the land transport industry

The transportation sector is one of the primary contributors to greenhouse gas emissions that have deteriorating effects on the state of the environment. The implementation of sustainable practices has become one of the most challenging tasks of organizations at present. This study examined the effect of implementing green innovation initiatives on a firm's competitiveness and financial performance of motor vehicle companies in the Philippines. Data were gathered through an online survey questionnaire with a total of 206 respondents composed of employees of various ranks working in companies engaged in the manufacture, distribution, retail, and service of motor vehicles. The theoretical framework presented a hierarchical latent variable model which was validated using the partial least square structural equation modelling (PLS-SEM). The model fit, measurement, general construct fit, discriminant validity, and structural model parameters were examined and found to have acceptable values. The findings indicated that environmental regulations, market demand, government pressure, competitor pressure, corporate social responsibility, and employee conduct were the significant drivers of green innovation initiatives. The study also revealed that the implementation of green innovation initiatives positively affects the firm's competitiveness and financial performance. Motor vehicle companies and other types of organizations are encouraged to demonstrate not only their concern for society or community but also their concern for the environment to acquire better market leverage and financial position.

The role of quality institutions and technological innovations in environmental sustainability: Panel data analysis of BRI countries

The majority of countries struggle to accomplish sustainable development and environmental sustainability; nevertheless, environmental degradation issues can be resolved by enhancing technological innovations and institutional effectiveness. This study assesses the impact of technological innovations and institutional quality on carbon dioxide emission in the Belt and road initiative countries for the time period of 2002 to 2019. Fixed effect, OLS, and generalized method of moment estimators were applied to the panel data for analysis. The results shows that energy from fossil fuels, economic growth and technological innovations increase environmental degradation by rising carbon dioxide emission. Renewable energy consumption, the rule of law, and the quality of institutions make a significant contribution to the improvement of environmental quality. In particular, the Environmental Kuznets Curve and Innovation Claudia curve is valid in the Belt and Road Initiative countries. In the presence of quality institutions, countries can achieve sustainable growth and environmental sustainability by expanding their use of green technology and renewable energy. The findings provide suggestions to the sample countries on the improvement of institutional framework and technological innovations in order to achieve sustainable development.

The spatiotemporal effects of environmental regulation on green innovation: Evidence from Chinese cities

Environmental regulation is expected to stimulate green innovation for the promotion of urban sustainability, while the effectiveness of this stimulus has long been debated under the Porter hypothesis and the crowding out theory. Empirical studies under different contexts have not reached a consistent conclusion yet. Based on the data of 276 cities in China from 2003 to 2013, this study captures the spatiotemporal non-stationarity in the effects of environmental regulation on green innovation with the combination of Geographically and Temporally Weighted Regression (GTWR) and Dynamic Time Warping (DTW) algorithm. The results show that environmental regulation has an overall U-shape impact on green innovation, indicating that the Porter hypothesis and the crowding out theory are not in conflict, but are theoretical interpretations of different stages of local responses to environmental regulation. Specifically, the effects of environmental regulation on green innovation present to be diverse in patterns that include enhancing, stagnant, undermining, U-shape, and inverted U-shape. These contextualized relationships are shaped by local industrial incentives and innovation capacities of pursing green transformations. The spatiotemporal findings allow policymakers to better understand the multi-staged and geographically diverse impacts of environmental regulation on green innovations, and formulate targeted policies for different localities.

How does population agglomeration influence China's energy eco-efficiency? Evidence from spatial econometric analysis

The contradiction between rapid urbanization and energy supply and demand is constraining the green development of Chinese cities. The impact of population agglomeration on urban energy eco-efficiency is still unclear. We used DMSP/OLS and NPP/VIIRS night lighting data, LandScan population dynamics statistics to extract "real urbanized areas" and "real urbanized populations" to measure the population agglomeration index. Considering the spatial interaction effects of economic behavior, we used panel data of 260 Chinese cities from 2006 to 2020 to construct a dynamic spatial Durbin model to explore the impact of population agglomeration on energy eco-efficiency. The study finds that population agglomeration contributes to regional energy eco-efficiency, with a spillover effect to surrounding areas. Endogeneity and robustness tests support the credibility of the results. Technological innovation plays a positive mediating role in the relationship between agglomeration and energy eco-efficiency. Heterogeneity analysis shows that the effect of population agglomeration on energy eco-efficiency varies across temporal and spatial dimensions. Our study provides valuable information for promoting urban energy eco-efficiency from the perspective of population agglomeration.

Environmental protection tax and green innovation

How environmental taxes affect green innovation in businesses is closely related to enterprise sustainable development and green economic development. This study uses the data of non-financial listed companies from 2010 to 2020 in China, and adopts the difference-in-difference method to examine the effect of the environmental protection tax (EPT) on corporate green innovation in China. Results show that EPT reform has a significantly negative effect on corporate green innovation, and the robustness test supports this result. EPT has a larger inhibitory effect on non-state-owned enterprises' green innovation than state-owned enterprises. This inhibiting effect is particularly prominent in companies situated in northern and low-marketization regions. Further analysis shows that EPT affects enterprises' green innovation by reducing the cash flow and financing of enterprises. This study provides an empirical basis for the implementation of the EPT policy.

Do trade openness and institutional quality contribute to carbon emission reduction? Evidence from BRICS countries

The quest for rapid economic development by modern nations has led to an unprecedented increase in carbon emissions. Knowledge spillovers from increasing trade activities and effective environmental regulations have been suggested as viable means of controlling these rising emissions. To that end, this study aims to examine the impact 'trade openness' and 'institutional quality' had on CO2 emissions in BRICS countries from 1991 to 2019. Three indices, namely, institutional quality, political stability, and political efficiency, are constructed to measure the overall institutional impact on emissions. A single indicator analysis is conducted for a deeper investigation of each index component. Given the existence of cross-sectional dependence among variables, the study uses the modern dynamic common correlated effects (DCCE) method to estimate their long-run relationships. Confirming the pollution haven hypothesis, the findings reveal that 'trade openness' indeed is a cause of environmental degradation in the BRICS nations. Through reduced corruption, improved political stability, bureaucratic accountability, and better law and order, 'institutional quality' is found to be contributing positively to environmental sustainability. It is also confirmed that renewable energy sources do have a positive environmental impact; however, it is found to be insufficient to offset the adverse effects caused by non-renewable sources. Based on the results, it is advised that BRICS countries should strengthen their cooperation with developed countries so that positive spillovers of green technologies may occur. Moreover, renewable resources should be aligned with firms' profits so that sustainable production practices can become the new norm.

Carbon emission reduction alliance, green technology, and emission reduction performance: an empirical study based on the synergistic perspective of environment and economy

From the synergetic perspective of "Environment-Economy," this paper defines the enterprises' emission reduction performance as the financial income and ecological benefits obtained of implementing emission reduction measures. Based on the resource-based theory and ecological modernization theory, applying 314 listed construction companies' data from 2005 to 2020, the PSM-DID method is adopted to empirically research the effect and mechanism of carbon emission reduction alliance on the emission reduction performance of construction enterprises. The research shows that ① the carbon emission reduction alliance can improve the enterprises' emission reduction performance. However, it is only significant for environmental benefit but not for economic benefit. After the parallel trend test and placebo test, this conclusion is still valid. ② The regression results of the mechanism demonstrate that the carbon emission reduction alliance can promote green innovation, thereby boosting the enterprises' emission reduction performance. The knowledge absorption capacity of enterprises positively regulates the main effect and intermediary effects. ③ Further analysis indicates that there is a U-shaped relationship between green innovation and economic emission reduction performance and an inverted U-shaped connection with emission reduction performance from an environmental perspective.

Hope-hype of green innovation, corporate governance index, and impact on firm financial performance: a comparative study of Southeast Asian countries

The current production and conception have impacted the environmental hazards. Green innovation (GI) is the ideal solution for sustainable production, consumption, and ecological conservation. The objective of the study is to compare comprehensive green innovation (green product, process, service, and organization) impact on firm financial performance in Malaysia and Indonesia, along with the first study to measure the moderation role of the corporate governance index. This study has addressed the gap by developing the green innovation and corporate governance index. Collected panel data from the top 188 publicly listed firms for 3 years and analyzed it using the general least square method. The empirical evidence demonstrates that the green innovation practice is better in Malaysia, and the outcome also shows that the significance level is higher in Indonesia. This study also provides empirical evidence that board composition has a positive moderation relationship betwixt GI and business performance in Malaysia but is insignificant in Indonesia. This comparative study provides new insights to the policymakers and practitioners of both countries to monitor and manage green innovation practices.

Performance effects of green production capability and technology in manufacturing firms

The proclamation of the sustainable development goals is driving companies to implement protective measures that favour the environment, thereby occupying a strategic place in the creation of green product innovation (GPI). This new management paradigm could be impacting capabilities, techniques, technologies, efficient energy use and green-oriented production policies and systems. Therefore, one of the challenges is to configure green production capabilities (GPC) coordinated with the technology dimension (TECH) because the design of ecological products and their manufacture requires the backup of capabilities and the possible support of green technology. To this effect, this article aims to establish the impact of the association of GPC and TECH on organisational performance. To do so, we test whether the adoption and high implementation of GPC and TECH affect environmental and financial performance. Empirical evidence is supported by the European Manufacturing Survey (EMS), using a sample of 1018 manufacturing companies from seven European countries. Our results show that the adoption of GPC and TECH and their high levels of implementation have a significant impact on environmental and financial performance. Regarding the association between the implementation of GPC and TECH, its contribution to environmental performance but not financial performance is evidenced. Furthermore, at high levels of implementation of this association, there is no significant effect on either environmental or financial performance. These findings drive theoretical and practical implications and provide opportunities for academics, managers and government bodies.

Can hurricanes drive green innovations?

We propose that natural disasters (specifically hurricanes) encourage the development of green innovations in small island developing states (SIDS). Using a novel and unique dataset of hurricane instances and green innovation activities in SIDS, we find that hurricanes follow a U-shaped relationship with green innovations. This suggests that while initially hurricanes negatively impact green innovations, as firms experience more hurricanes, this will trigger the development of green innovations. Our results also reveal that present and future government regulations act as antecedents to green innovation, however government incentives (i.e., grants, subsidies, and financial incentives) are not found to impact on firms' willingness to develop green innovations. Furthermore, customer/market demand and industry codes of environmental good practice (societal influences) are found to trigger green innovation activities in SIDS firms. Finally, we find that hurricanes have no significant effect on other 'traditional' types of innovation. Our study deepens understanding of the underexplored nexus between natural disaster events and green innovations and has implication for optimizing policy design ('command and control' regulations vs 'market-based' incentives) for green innovations.

Impact of Pilot Zones for Green Finance Reform and Innovations on green technology innovations: evidence from Chinese manufacturing corporates

Green technology innovation is a crucial factor in the global quest for sustainability. In 2017, China approved the establishment of Pilot Zones for Green Financial Reform and Innovations to build and improve the green financial system. Using a difference-in-difference (DID) model, this paper examines the impact of this pilot policy on corporate green technology innovation and its transmission mechanism based on the data of green patents of Chinese A-share listed manufacturing companies between 2014 and 2019. It is found that Pilot Zones for Green Financial Reform and Innovations have contributed to the growth of green technology innovations. This conclusion is confirmed after a series of robustness tests. The pilot policy's promotion of green technology innovations is mainly reflected in the application of corporate green invention patents. However, it is more significant for non-heavy polluting enterprises, high-tech certified enterprises, and large enterprises. The paper also finds that the pilot policy promotes corporate green technology innovation by promoting social financing, talent support, and government financial support.

Regional differences and convergence of green innovation efficiency in China

Green innovation facilitates high-quality economic development and ecological environmental protection. Herein, the minimum distance to strong efficient frontier (MinDS) model was used to measure green innovation efficiencies (GIEs) of 30 Chinese provinces over a period of 21 years (2000-2020). Gini coefficient decomposition and kernel density estimation methods were used to analyze the regional differences of GIE. Spatial correlation was estimated to analyze spatial-spillover effects and spatial convergence of the GIE. China's GIE has shown an increasing trend with significant spatial differences in GIE among provinces. Regional differences and transvariation intensity are the primary sources of spatial differences in GIE. Regional differences in GIE have decreased, except for eastern regions. The results of spatial convergence estimation suggest spatial absolute and conditional convergence in all regions. Therefore, for the GIE improvement in China, the effects of economic level, industrial structure, and environmental regulations must be considered.

How Can Resource-Exhausted Cities Get Out of "The Valley of Death"? An Evaluation Index System and Obstacle Degree Analysis of Green Sustainable Development

Resource-based cities are suffering from resource scarcity and environmental deterioration. Spirit, vitality and prosperity are disappearing and cities have moved towards "the valley of death" in terms of urban development. This typically appears in environments where it is difficult to maintain sustainable development. Based on empirical analysis, a qualitative analysis method for the selection of evaluation indicators, as well as a quantitative analysis method for index weighting and principal component extraction for constructing a three-level evaluation index system of green development for coal-resource-exhausted cities, was adopted. This study also discussed the life cycle at different development stages of resource-based cities, including mature resource-based and growing resource-based cities. We further argued that the obstacle degree can act as an evaluation basis and make recommendations accordingly to improve the green development of cities. Through star-standard divisions and statistical analysis, it can be explicated that the increase in green development in the first stage is greater than that in the later stage, which is more obvious in cities with lower stars. The results also show the evolution trend and stability coefficient. There is no end in sight for urban green development, and this study can provide a new perspective to relieve the declining trend and promote green sustainable development.

Organizational Agility and Sustainable Manufacturing Practices in the Context of Emerging Economy: A Mediated Moderation Model

Since the beginning of the 21st century, agility and sustainability have played a significant role in the global manufacturing industry. The manufacturing paradigm leaning toward green procurement and organizational agility has crossed all levels of sustainability by colossally influencing the firms’ sustainable practices, innovation capacity, and eco-friendly procurements. Integrating sustainable practices in manufacturing is a complex task that demands that global economies conduct comprehensive research on the factors influencing the firms’ sustainable practices. Therefore, the study considers empirical research between organizational agility and sustainable manufacturing practices. The data was collected from 461 respondents working in the manufacturing sector by applying a convenience sampling technique. We utilized structural equation modeling (SEM) for direct and indirect hypothesis testing. The study results revealed that operational, customer, and partnering agility significantly and positively impact sustainable manufacturing practices and green procurement. Green procurement mediates the relationship between operational, customer, partnering agility and sustainable manufacturing practices. The study results showed a significant moderating role of big data between green procurement and sustainable manufacturing practices. The study findings are helpful to managers and policymakers.

Spatio-temporal effect of provincial technological innovation on environmental pollution in China

The relationship between technological innovation (TL) and environmental pollution (EP) and its action mechanisms are complex and controversial aspects of discussion. Using the spatial autocorrelation analysis, standard deviation ellipse analysis, kernel density function, spatial econometric model, this study analyzed the spatial distribution, evolution characteristics, and influencing factors of the EP and TL from 2000 to 2020 in China. Results found there was a significant spatial autocorrelation between the EP and TL in 2000-2020. The standard deviation ellipse of EP was broadly distributed in the "southwest-northeast" direction, indicating that EP presented a trend of concentration in the direction of "southwest-northeast." The moving trajectory of the center of gravity for the EP in 2000-2020 was essentially moved from the northeast to southwest. Overall, the national level of TL exhibited a "north-south change, high in the east, and low in the west" trend. Regional differences were gradually expanding, and the polarization was evident. Regardless of using least squares method (OLS) or quantile regression (QR) models, TL, human capital (HC), and industrial structure (IS) all had an inhibitory effect on the EP at the effective significance level. Total population (TP), foreign direct investment (FDI), and local fiscal expenditure (LFE) were positively related to the EP.

How does digital economy affect green total factor productivity at the industry level in China: from a perspective of global value chain

The digital economy is an important way to relieve current pressure on resources and the environment. Based on ecological modernization theory and global value chain theory, this paper adopts panel data of 17 manufacturing industries from 2000 to 2014, uses the non-radial directional distance function and the meta-frontier method to measure China's green total factor productivity (GTFP) and its sub-indices, and takes the embedding degree and embedding position as moderating variables and threshold variables to construct an econometric model to explore the relationship among the digital economy, global value chain, and GTFP. The results show that (1) the digital economy has a positive effect on GTFP in both time and space. And in terms of time, the digital economy mainly enhances GTFP by improving technical efficiency and narrowing the technology gap. (2) Global value chain embedding position positively moderates the relationship between the digital economy and GTFP; In terms of sub-samples, labor-intensive and capital-intensive industries show the same impact characteristics as the total sample. (3) Further, it is found that the digital economy and GTFP have nonlinear characteristics. There is a single threshold effect on the embedding position. When the embedding position is low, the digital economy is positively correlated with GTFP but not significant; when the threshold value is crossed, the digital economy can significantly promote GTFP. The conclusions of this paper are helpful to realize the digital economy to promote the green development of the manufacturing industry, and provide an effective reference for the realization mechanism of China's green economy transformation and ecological civilization construction in the post-pandemic era.

Does green financial reform pilot policy promote green technology innovation? Empirical evidence from China

As a new financial model that balances economic and ecological benefits, green finance (GF) plays an important role in promoting green economic development and ecological environmental protection. Based on the panel data set of 30 provinces in China from 2010 to 2020, this paper uses the synthetic control method (SCM) to explore the impact of the green financial reform pilot policy (GFRP) on the green technology innovation (GTI) capabilities of pilot areas and evaluate the policy effects. The specific research conclusions are as follows: (1) On the whole, the GFRP has a positive role in promoting the GTI capability of the pilot areas, but this role is different due to the different resources, environment, and economic development levels of each region. The areas with economic development levels in the middle and head are obviously affected by the policy, and the less developed areas are less affected by the policy or even have a restraining effect. (2) Although the pilot policy has improved the GTI capability of the pilot area, the promotion effect is unstable, that is, the implementation effect of the policy is unstable. In the early stage of policy implementation, the promotion effect of the policy on the regional GTI capacity is the most obvious, and this promotion effect begins to show a downward or stable trend in the 2-3 years after the policy is implemented. Based on the above conclusions, it can provide some reference for the revision and improvement of GFRP.

The Mixed Impact of Environmental Regulations and External Financing Constraints on Green Technological Innovation of Enterprise

Green technological innovation is an important force for high-quality economic development and high-level ecological environment protection. Environmental regulation and market financing are important factors affecting enterprise green technological innovation, while the relationship between environmental regulation and enterprise green technological innovation is most likely to be nonlinear. Additionally, this impact may be moderated by market financing. Based on the data of 2278 manufacturing enterprises in China, this article intends to empirically test the nonlinear relationship between environmental regulation and enterprise green technological innovation. Green technological innovation is divided into green process innovation and green product innovation. Based on this, the analysis of the heterogeneous impact of environmental regulations on different types of green technology innovation is implemented. Moreover, the moderating effect of external financing constraints on the relationship between environmental regulation and green technological innovation is further discussed. It shows that there is an inverted U-shaped relationship between environmental regulation and enterprise green technological innovation. This conclusion will not change due to the types of green technological innovation, while the impact of environmental regulation on enterprise green product innovation is greater than that of green process innovation. In addition, external financing constraints will reduce the impact of environmental regulation on enterprise green technological innovation. The research conclusions have certain reference value for deepening the understanding of green technological innovation and optimizing the relationship between government and market.

Does air pollution collaborative governance promote green technology innovation? Evidence from China

With the data of Chinese A-share-listed companies from 2004 to 2017, this paper builds a difference-in-differences model to investigate the impact of air pollution collaborative governance on green technology innovation. The main results show that air pollution collaborative governance promotes green technology innovation, and a series of robustness tests also verify this conclusion. Patent heterogeneity analysis suggests that air pollution collaborative governance increases the number of green utility model patents, but has no obvious impact on green invention patents. In terms of enterprise heterogeneity, air pollution collaborative governance can effectively stimulate the non-heavy-polluting enterprises to innovate green technology, but the incentive effect on heavy-polluting enterprises is not evident. Moreover, by constructing a mediating effect model and a moderating effect model, mechanism analysis reveals that R&D investment plays a positive mediating role in the impact of air pollution collaborative governance on green technology innovation, and the increase of government subsidy also enhances the promotion effect of air pollution collaborative governance on green technology innovation.

How Do Environmental Regulation and Environmental Decentralization Affect Regional Green Innovation? Empirical Research from China

Green innovation is vital in transforming China’s economic development from high speed to high quality. Environmental regulation plays an important role in stimulating regional green innovation, and appropriate environmental decentralization is the institutional basis to consolidate the innovation compensation of environmental regulation. Clarifying the relationship among environmental regulation, environmental decentralization, and green innovation is of great theoretical and practical significance for regional environmental management and green innovation development. This paper incorporates environmental regulation, environmental decentralization, and regional green innovation into the same analytical framework and constructs a fixed-effects model and a threshold panel model to empirically examine the intrinsic relationship between them based on panel data of 30 Chinese provinces from 2006 to 2015. The estimation results indicate that environmental regulation has a positive impact on regional green innovation, which is greater in developed regions than in underdeveloped regions. Environmental decentralization plays a negative role in regional green innovation, with underdeveloped regions being affected to a greater extent. The impact of environmental regulation on regional green innovation shows a threshold characteristic with the change of the degree of environmental decentralization, while the green innovation utility of environmental regulation gradually decreases with the increase of the degree of environmental decentralization.

How Do Green Innovation Strategies Contribute to Firm Performance Under Supply Chain Risk? Evidence From China's Manufacturing Sector

With environmental issues increasingly becoming prominent in today's business world, firms may need to pay extra attention to developing their environmental strategies and capabilities in response to environmental concerns and achieving sustainable growth. While a broad consensus exists on the value of green innovation, current empirical research on how different types of green innovation strategies may account for the international performance of a firm remains scant. Addressing this gap is important because determining how to better manage a firm's green innovation strategies nowadays has become increasingly important for firms hoping to achieve and maintain their sustainable performance advantages. This study aims to bridge this gap by systematically examining how various types of green innovation strategies (i.e., green product, green process, and green service innovations) can be beneficial to firms in an emerging market economy. This study also examined the important role that potential risks of supply chain play in shaping the relationships between various types of green innovation strategies and firm performance. This study proposes that the effective management of supply chain risks may be important to the successful implementation of green innovation strategies because green innovation has increasingly become a collaborative effort. This study empirically tested the hypotheses by gathering survey data from a sample of 337 firms in China's manufacturing industries. Results demonstrate that the green innovation strategies of firms are positively related to their firm performance. Additionally, the potential risks faced by the firms in efficiently and effectively managing their supply chain significantly moderate the impact of green product innovation and green process innovation strategies on their firm performance. This study not only offers useful theoretical implications for the green innovation strategy research and for better and effective supply chain risk management. It also provides important practical guidelines and managerial actions that practicing managers can implement to accelerate their green innovation strategy, assess the effect of supply chain risks, and thus improve firm performance in the post-pandemic era.

The Promoting Effect of Green Technology Innovations on Sustainable Supply Chain Development: Evidence from China’s Transport Sector

This paper analyses direct and indirect mechanisms of the promoting effect of green technology innovation of transport companies on the SSC development. Based on China’s transport sector data, we conduct an empirical study using the LL-FE model. Theoretical and empirical studies have two key findings: (1) On the direct mechanism, green technology innovations of transport companies have a positive role of promoting SSC development. When the level of green technological innovation of transportation enterprises increases by 1% totally, the level of transportation carbon emissions decreases by about 0.23%. (2) As for indirect mechanisms, green technology innovations of transport companies will promote SSC development through technology spill over, market competition and social network. This paper enriches the understanding of green technological innovation and SSC both in theoretical and empirical aspects.

What Myths about Green Technology Innovation and Financial Performance’s Relationship? A Bibliometric Analysis Review

The relationship between green technology innovation and corporate financial performance has gained considerable traction in academics and businesses. However, there is limited overall bibliometric analysis on this topic. To meet the research need, this study, using Citespace (Citespace5.8r3 version, ChaomMei Chen, Philadelphia), performed the bibliometric analysis of the relationship between green technology innovation and corporate financial performance from 2007 to 2021, with 251 academic papers published in the Web of Science databases being analyzed, thus identifying the research hotspots and trends. The results showed that: (i) the number of publications has moved from slow to rapid growth and is expected to ramp up further; (ii) only a small collaboration network has been formed among the authors; (iii) institutions’ work operates relatively independently. There is still more room for inter-institutional or cross-discipline cooperation against geographical regions. However, there is a strong network of cooperation among countries. China performs best in this research area, followed by Spain and the UK; (iv) several significant co-citation relationships are also formed in the literature network. The burst literature on green innovation, product innovation, and financial performance is considered a research hotspot; and (v) “green innovation”, “corporate performance”, “legitimacy”, “environmental disclosure”, and “corporate sustainability” have become trends in research. Our results provide academics and practitioners with a robust roadmap on the relationship between green technology innovation and corporate financial performance.

Does Proactive Green Technology Innovation Improve Financial Performance? Evidence from Listed Companies with Semiconductor Concepts Stock in China

Academia and business alike are paying increasing attention to innovation in green technology due to the potential environmental and financial performance benefits. However, a limited amount of research has been carried out on the effect of proactive green technology innovation on corporate financial performance. This study examines the effects of two dimensions of proactive green technology innovation, namely, proactive green process innovation and proactive green product innovation, on corporate financial performance. Moreover, the moderating role of absorptive capacity on these relationships is introduced. The proposed hypotheses were tested empirically using a dynamic panel dataset of 126 Chinese listed semiconductor concept stocks from 2010 to 2020 and a difference-GMM approach. It was found that proactive green process innovation has a significant positive effect on both short-term and long-term corporate financial performance. Moreover, proactive green product innovation has a significant positive effect on long-term corporate financial performance. However, it does not improve short-term corporate financial performance. In addition, absorptive capacity has a positive moderating effect on the relationship between proactive green process innovation and both short-term and long-term corporate financial performance, and shows a positive moderating effect on the relationship between proactive green product innovation and long-term financial performance. However, it has a significant negative moderating effect on short-term corporate financial performance. Thus, we suggest that firms adopt more supportive proactive green technology innovation practices in order to improve their financial performance.

How to Improve Green Innovation Performance: A Conditional Process Analysis

Green innovation strategy (GIS) is an appropriate choice for most enterprises to deal with environmental problems. Organizational green learning (OGL) enables enterprises to obtain more updated environmental knowledge and promote green innovation performance (GIP). It is unclear whether adopting green innovation strategy is inevitably beneficial to green product innovation and green process innovation, and the studies in this area are still incomplete. According to the Natural Resource-Based View and Knowledge-Based View, this study advances a conditional processmodel to understand how green innovation strategy impacts green innovation performance through organizational green learning in a context of green technological turbulence (GTT). We conducted an empirical study with a probabilistic sample of 316 innovative enterprises using the partial least squares and regression analysis in order to verify the research framework. The results show a positive relationship between green innovation strategy and green innovation performance, organizational green learning played a partial mediating effect, and green technology turbulence significantly moderated the relationship between organizational green learning and green innovation performance. The impact of organizational green learning on green innovation performance is greater when green technology turbulence is higher than when it is low. These findings extend the green innovation performance research and practice.

The Heterogeneous Relationship between Pollution Charges and Enterprise Green Technology Innovation, Based on the Data of Chinese Industrial Enterprises

Enterprises’ green technology innovation is critical to achieving the “win-win” of enterprise competitiveness and environmental protection. The impact of environmental regulation on green technology innovation by enterprises has been widely considered, but the conclusion has not yet been determined, and needs to be studied in detail. To this end, we studied the impact of pollution charge policy on different types of green technology innovation by industrial enterprises in China. We found that (1) the impact of pollution charges on most types of green technology innovation by enterprises has increased significantly over time; (2) the pollution charge policy has a certain inhibition effect on the end-of-pipe technology innovation, but can promote the process improvement of reducing industrial wastewater emissions; (3) there is a U-shaped relationship between the pollution charges and some green technological innovation (e.g., emission intensity of SO2, industrial wastewater emission intensity, and industrial wastewater removal intensity), which is dynamically adjusted over time; and (4) the larger the enterprise’s solid assets, the faster the asset depreciation will inhibit the enterprise from adopting the green process innovation strategy.

Vinculum of Sustainable Development Goal Practices and Firms’ Financial Performance: A Moderation Role of Green Innovation

The 2030 Agenda for Sustainable Development (SDGs) has been established to alter our world by addressing the challenges faced by humanity in order to promote wellbeing, economic prosperity, and the protection of the environment. The SDGs provide a holistic and multi-dimensional approach to development compared to conventional development plans that focus on a limited range of dimensions. As a result, linkages between the SDGs may result in differing outcomes. This research is the first to investigate the direct relationship of environmental and social SDGs with firms’ financial performance and the moderating role of green innovation. Data from 67 companies from five continents (Europe, Australia and New Zealand, Asia, North America, and Africa) and their top five blue-chip firms were collected through content analysis. Generalized least squares (GLS) were used to test for direct relationships. The results showed a positive correlation between environmental SDGs and the negative significance of social SDGs on firms’ financial performance. However, mixed findings regarding the moderation variable green innovation over SDGs and firms’ financial performance were found. The new findings extend the SDG literature and provide empirical evidence to practitioners and policymakers.

Firm Sustainable Development Goals and Firm Financial Performance through the Lens of Green Innovation Practices and Reporting: A Proactive Approach

The current global economy demands synergy between ecological responsiveness and proactive business models. To analyze these dynamics, the objective of this study is to simultaneously investigate the effects of green innovation practices concerning the sustainable development goals (SDG) and financial performance of firms. This study also advocates for the injection of green innovation reporting into sustainable reporting for greater disclosure. Data from sixty-seven companies from five continents and the top five blue chip firms for each country are collected through content analysis, with the generalized least squares (GLS) approach used to test a causal relationship hypothesis. The results indicate mixed findings, with green product innovation showing positive relationships with returns on equity (ROE) and returns on investments (ROI). At the same time, green process innovation shows negative relationships with returns on assets (ROA) but shows a positive impact on returns on investments (ROI) and firm SDGs. In contrast, green service innovation shows an insignificant relationship with financial performance and SDGs. On the other hand, non-operational green innovation variables and green marketing positively affect returns on assets and investment, showing significant negative impacts on returns on equity. However, green organizational innovation shows an insignificant relationship with firm financial performance and SDGs. In addition, this study also shows that the Australia/New Zealand region is the leader in green innovation reporting, followed by Europe, Asia, Africa, and lastly, North America.

Institutional Pressure and Green Product Success: The Role of Green Transformational Leadership, Green Innovation, and Green Brand Image

Rapid economic growth has led to economic activities which have caused extensive environmental damage to the planet. Companies have sought to adapt their business methods to reduce their carbon footprint in order to meet regulations, satisfy consumer preferences and keep up with changing societal expectations. The relationship between institutional pressure and green product performance will be an important issue in corporate green management. This article looked through the lens of green innovation and explored the moderating role of green brand image between green product innovation and new green product success. Utilising the data of 243 managers in Mainland China, structural equation modelling results found that institutional pressure is positively correlated to green transformational leadership, green transformational leadership is positively correlated to green process innovation, green process innovation is positively correlated to green product innovation, green product innovation is positively correlated with new green product success, green brand image moderates the relationship between green product innovation and new green product performance. The research results provide theoretical and practical implications for enterprises to relieve institutional pressure and build specific green competitive advantages.