Search Results (40)

Patent licensing is essential for sustainable technological diffusion, fostering innovation and strengthening industrial resilience. However, the determinants influencing patent licensing decisions remain underexplored. This study investigates these factors at both the enterprise and patent levels, emphasizing their role in promoting sustainable industrial innovation and knowledge transfer. Given the low proportion of licensed patents, this research proposes a measurement framework to identify thematically similar but unlicensed patents and applies a conditional logistic regression model to analyze the factors affecting licensing decisions. Using patent abstracts from the intelligent connected vehicles (ICVs) sector, topic modeling is conducted to classify technological themes, and Kullback–Leibler divergence is applied to measure differences between licensed and unlicensed patents. The results indicate that technological prestige and depth negatively influence licensing, whereas technological breadth, advancement, and stability have a positive effect. From a sustainability perspective, enterprises should optimize technology management to support responsible knowledge transfer and green innovation. Universities should enhance patent quality and innovation impact to contribute more effectively to sustainable development. Policymakers should refine patent licensing frameworks to foster an efficient, inclusive, and sustainable intellectual property ecosystem, thereby facilitating cross-sectoral technology diffusion, advancing eco-friendly industrial transformation, and promoting sustainable economic growth. Full article

This article addresses a topic of critical importance globally, particularly in the context of the ongoing energy crisis, climate change, and efforts to transition towards sustainable energy systems. A growing environmental awareness among consumers, along with changing regulations on energy efficiency, forces companies to adapt their products and services to meet new market demands. Eco-innovations, such as energy-efficient technologies and environmentally friendly materials, can respond to the increasing demand for products with a lower carbon footprint and reduced energy consumption. Using structural equation modelling, our study aimed to evaluate the significance of selected determinants of enterprise activities aimed at innovations that yield environmental benefits. The analysis focused on the scale of the benefits obtained due to these innovations (e.g., reduced material or water use per unit of output, reduced energy use, reduced CO₂ footprint, reduction in pollution, or recycling of waste) and during the consumption or use of goods or services by the end user (e.g., energy savings, facilitated recycling, or extended product life). The empirical data source was a database of anonymised individual data from Statistics Poland. The database comprised 8544 industrial enterprises employing 10 or more people, of which 2714 introduced eco-innovations. To verify the hypothetical relationships between variables, we proposed a structural equation modelling method. The structural model estimates indicated that requirements arising from current and future regulations, pressure from high operational costs and administrative formalities, and reputation and incentives had a positive and statistically significant impact on the scale of benefits obtained due to these eco-innovations. The assessment of the importance of factors determining the introduction of eco-innovations differed slightly between companies of different sizes. For large enterprises, the key determinants were incentives, reputation, and law requirements. For medium-sized enterprises, incentives and reputation were the most influential. For small enterprises, reputation was the primary determinant, followed closely by pressure and incentives at a similar level. Full article

As global sustainability goals gain importance, fostering green innovation has become critical for businesses to reduce environmental impact and enhance sustainability. Green credit policies, which incentivize firms to adopt eco-friendly practices, are a powerful tool in encouraging green innovation. This study examines the impact of green credit policies on corporate green innovation in China, with a focus on high-pollution enterprises, using data from A-share listed companies from 2007 to 2023. The research highlights the significant role of analyst attention in moderating the effectiveness of these policies. The findings show that while green credit policies significantly promote the quantity and quality of green innovation, the impact is further amplified when firms receive higher levels of attention from analysts. The study also finds that larger firms and those with excess cash are more likely to respond positively to green credit policies, as they have the resources to invest in green technologies. This research provides valuable insights into the relationship between green credit policies, corporate green innovation, and the moderating effect of analyst attention, offering practical recommendations for policymakers and businesses aiming to achieve sustainable development goals. Full article

This research examines the impact of digital transformation on green innovation across different regions in China, using data from the Shanghai and Shenzhen stock markets from 2007 to 2022. The study reveals that digital transformation significantly enhances green innovation in enterprises, with notable regional disparities. The effects are most pronounced in the economically advanced eastern coastal areas, followed by central regions, while the western regions lag behind. This spatial pattern underscores the importance of tailored policies and strategies to address specific regional barriers and opportunities. Integrating digital technologies such as AI and big data has empowered companies to enhance their innovation activities, particularly in energy efficiency, pollution mitigation, and eco-friendly manufacturing. However, challenges such as lack of motivation for innovation and inadequate greener technologies persist, necessitating new strategies to revive eco-friendly innovations. This research provides valuable insights for policymakers, highlighting the need for regional cooperation, knowledge sharing, and technology transfer to promote sustainable economic development. By leveraging digital transformation, regions can improve their green innovation capabilities, contributing to the broader goals of China’s “dual carbon” initiative and sustainable development. This study emphasizes the critical role of digital technologies in driving green innovation and calls for comprehensive strategies to enhance digital infrastructure, digital literacy, and environmental consciousness across all regions of China. Full article

This study clarifies the impact of global supply chain risks on global logistics companies, with a focus on the potential implications for sustainable supply chain management. The study employs the vector auto-regression model to examine the relationship between the Global Supply Chain Pressure Index (GSCPI) and the stock prices of global logistics companies, yielding the following results. First, the GSCPI does not have a statistically significant effect on most global logistics firms, except for shipping companies, which tend to be negatively impacted by supply chain disruptions. The t-statistics of the GSCPI on air cargo, integrated logistics, and pipeline companies were below the threshold of 1.291, corresponding to a 90% confidence level, which indicates that these results were not statistically significant. Therefore, logistics companies should prioritize the development of resilient and sustainable supply chain strategies incorporating alternative energy sources, such as liquefied hydrogen, ammonia, green methanol, and liquefied natural gas, to enhance their ability to respond to unexpected situations. Second, contrary to other logistics sectors, shipping enterprises have been positively impacted by the GSCPI, suggesting that they may find new opportunities during periods of global instability. By adopting eco-friendly fuel alternatives and green technologies, shipping companies can capitalize on these opportunities and contribute to the global transition toward sustainable logistics practices. These findings suggest that global logistics companies, including pipeline, air cargo, and integrated logistics companies, should develop resilient global supply chain management strategies that incorporate supply chain platforms, nearshoring, and import diversification. This study offers important implications for entrepreneurs and policymakers, emphasizing the role of sustainable energy solutions in stabilizing global supply chains. Full article

This study analyzed the operational environment of supply chains involved in the production of eco-friendly plastics, with a particular emphasis on small- and medium-sized businesses worldwide. Qualitative research methods were used to highlight the significance of extended producer responsibility (EPR) regulations and strong recycling programs for the sustainability of small- and medium-sized enterprises (SMEs). Also, this study looked at international regulations affecting the implementation of circular economy strategies and the difficulties in creating sustainable supply chains. It concluded that waste reduction, effective supply chain management, and sustainable practices are crucial aspects of a more effective and sustainable global plastic-manufacturing sector. This research highlighted the significance of government policies in SME revival and used Multiple-Criteria Decision Analysis (MCDA) to help SMEs adopt sustainable supply chain practices that act as a catalyst for industry reform. Full article

This study aims to examine how female CEOs influence green innovation and whether firm size moderates this connection. Our paper focuses on CEOs, who are considered the strategic leaders of corporations, because of their crucial role in making important decisions. This research paper examines how female CEOs influence green innovation (GI) in the Asian industrial sector. The primary goal is to address these research questions: Do Asian industrial firms with female and male CEOs differ in their GI efforts? Is there a positive moderating influence of Asian industrial enterprises’ size on the nexus between women in CEO positions and eco-innovation? Based on our research questions, firm size is likely a determining factor in the GI of female CEOs. This research employs rigorous econometric modeling to analyze a substantial dataset of listed Asian industrial companies from 2013 to 2022. We have found a significant positive correlation between female CEOs and GI in Asian industrial firms. It has been proven that female CEOs in the industrial sector are more inclined to promote environmentally friendly practices. Furthermore, the size of an industrial firm amplifies the beneficial influence of a female CEO on the firm’s chances of engaging in GI initiatives. Regarding the moderating effect of size, the size of companies significantly magnifies the impact of female CEOs on GI. The effectiveness of female CEOs on environmentally friendly practices is more prominent in large corporations than in smaller ones. Our outcomes remain robust with respect to endogeneity issues using two-step GMM estimators. This study proposes that stakeholders, particularly in Asian countries, should promote the increased representation of females in CEO roles, particularly within large corporations. This is because women-led companies demonstrate superior performance in GI endeavors. Hence, regulators must establish policies that facilitate the participation of women in CEO positions within large-scale enterprises. These policies may strengthen the private sector’s capacity to foster sustainable innovation. Full article

As important methods of ecofriendly transportation, the supply chain coordination of new energy vehicles (NEVs) is an important issue in the field of sustainability. This study constructs a Stackelberg game composed of a power battery supplier and an NEV manufacturer. To better describe the coordination relationship in the NEV supply chain, we introduce the Nash bargaining framework into the fairness concern preference utility function. Through a comprehensive discussion of shareholding ratios and external environment factors, we discover that the traditional shareholding strategy fails to coordinate the NEV supply chain effectively, as enterprises seek to avoid losing management control, which occurs when excessive shares are held by others. In this context, this study proposes a novel industry–university–research (IUR) shareholding strategy, which can more easily achieve supply chain coordination and improve social welfare. In particular, this study reveals the superiority of the novel strategy in eliminating the double-marginal effect caused by high fairness concern preference among NEV enterprises. Based on these facts, we provide enterprises with optimal strategies under different conditions and offer a government-optimal subsidy to maximize the social welfare function. Full article

Analyzing the trajectory and mechanism of rural industrial change is important for understanding urban–rural integration and facilitating rural revitalization. Based on the data of industrial enterprises in 1112 administrative villages of Guangzhou, China, from 1978 to 2020, we identify the evolution trend of rural industry by investigating the spatial–temporal dynamics of industrial changes in rural areas. An extended triple-process framework incorporating urbanization and greenization was employed to unravel the underlying mechanism of the trajectory of rural industrialization. The results highlight the transformation from rural to suburban industrialization. In the past twenty years, rapid urbanization has contributed to the establishment of development zones. The agglomeration economy has led to a higher concentration of manufacturing industries in these development zones rather than rural areas. The eco-friendly development has resulted in a green transition in rural areas, further restricting the growth of traditional rural industries. Our analysis provides a nuanced picture of Guangzhou’s spatial–temporal dynamics of rural and suburban industrialization. Meanwhile, it emphasizes the importance of urbanization and greenization in explaining the recent transformation of industrialization in China. Full article

Increasingly, manufacturing enterprises are compelled to pursue innovative solutions to environmental issues. Addressing such issues requires mindful leadership to support employees and organizations in maintaining awareness during complex situations, which then promotes environmental sustainability. Drawing on social information processing theory, this study theorizes and tests the relationships between mindful leadership, employee moral reflectiveness, environmental passion, and employee green creativity. To test the model, we utilize a two-wave multisource dataset comprising 215 workers from manufacturing firms in China. The findings demonstrate that mindful leadership has a positive relationship with employee green creativity. Additionally, our research reveals that both moral reflectiveness and environmental passion serve as mediators in linking mindful leadership to employee green creativity. Crucially, our empirical analysis suggests a serial mediation model, examining the sequential role of moral reflectiveness and environmental passion in the relationship between mindful leadership and employee green creativity. The findings provide a new viewpoint on employees’ eco-friendly behaviors and have practical implications for improving environmental sustainability within organizations. Full article

Rising carbon emissions are worsening global climatic conditions, posing a grave threat to the environment. Analysing and reducing carbon footprints are vital for combating climate change. A carbon footprint analysis categorises emissions into three scopes, aiming to identify re- duction areas and promote sustainable practices, such as energy efficiency, renewable energy use, and eco-friendly choices in consumption. The current study’s purpose is to track and analyse the carbon emissions in the inbound and outbound logistics of a process industry belonging to Micro Small and Medium Enterprises using life cycle analysis. Ultimately, this study recommends mitigation strategies to bring down the carbon footprint. Full article

Numerous advanced industrial countries emphasize green environmental protection alongside athletic healthcare. Many world-renowned sports brands are actively developing highly functional, environmentally friendly, and aesthetically pleasing products. For example, in the production of sports shoes, the eco-friendly yarn process is one of the important processes. This process involves multiple crucial larger-the-better quality characteristics closely tied to the functionality of sports shoes. Facing green environmental regulations and external competitors, it is evidently an imperative issue for enterprises to consider how to improve the quality of newly developed products, increase product value, and lower rates of both rework and scrap to accomplish the goals of saving energy and minimizing waste. Aiming to solve this problem, this study proposed a fuzzy evaluation model for products with multifunctional quality characteristics to assist the sporting goods manufacturing industry in evaluating whether all functional quality characteristics of its products meet the required quality level. This study first utilized the larger-the-better Six Sigma quality index concerning environmental protection for evaluation and then proposed product evaluation indicators for the eco-friendly yarn. Since the parameters of these indicators have not yet been determined, sample data need to be used for estimation. Enterprises require rapid response, so that the sample size is relatively small. Sampling error will increase the risk of misjudgment. Therefore, taking suggestions from previous studies, this study constructed the fuzzy evaluation model based on confidence intervals of quality indicators for the eco-friendly yarn. This method incorporated previous experience with data, thereby enhancing assessment accuracy. Full article

Cold chain logistics are crucial for reducing agricultural product loss, yet the environmental impact of energy and packaging consumption, among others, demands attention, making the search for eco-friendly development modes essential. Based on data from 30 provinces in China from 2015 to 2021, this study analyzes the basic correlation between the development of cold chain logistics of fresh agricultural products (CCLFAP) and the ecological environment (EE) by using a random forest regression model in comparison with the XGBoost model. Correlation heatmaps were used to analyze the relationships between the cold chain logistics of fresh agricultural products and various factors of the ecological environment. The generalized additive model was then used to establish the connection between cold chain logistics and the ecological environment, identifying significant factors impacting EE. The results demonstrate that a higher development level of cold chain logistics corresponds to a better development trend of EE. The economic efficiency and technical aspects of cold chain logistics for fresh agricultural products are closely related to ecological pressures and responses. The number of employees in the logistics industry, the trading volume of fresh agricultural products, the number of refrigerated vehicles, and the capacity of the cold room have significant positive correlations with the ecological environment, while the per capita consumption of fresh agricultural products, the number of cold chain logistics patent applications, and the road density had significant negative correlations with the ecological environment. The effects of the number of cold chain logistics enterprises and the freight turnover of agricultural products transported by the cold chain on the ecological environment fluctuated. These findings contribute to reducing climate and environmental emergencies throughout the life cycle, offering sustainable development solutions for the fresh agricultural product cold chain logistics industry. Full article

China’s economy has experienced a period of remarkable growth and entered a stage of high-quality development, necessitating the implementation of innovative eco-friendly practices involving green technology innovation. The capital market environment plays a direct role in influencing the sources and scale of external financing for businesses, thus affecting their green technology innovation activities. The Shanghai–Hong Kong Stock Connect (SHSC) mechanism in China is the first official two-way opening of China’s capital market. Therefore, this paper regards the SHSC policy as a quasi-natural experiment platform for the opening of the capital market and employs a difference-in-difference methodology to investigate the impact of the SHSC policy on enterprise green technology innovation and its influence mechanisms. The overall sample covers Chinese A-share listed enterprises from 2012 to 2017. The findings demonstrate that the SHSC policy significantly enhances the level of green technology innovation by enhancing corporate governance and alleviating financing constraints. Non-state-owned enterprises are more affected than state-owned ones, and there is no significant difference in the impact between heavily polluting industries and non-heavily polluting ones. Full article

The growing global emphasis on environmental issues has driven companies to exert greater efforts on making their products more sustainable. Natural dyeing, an eco-friendly dyeing method used in the textile and apparel industry, is safer for both the environment and human health, aligning with the needs of sustainable design development. This paper examines the key factors affecting Chinese consumers’ satisfaction with naturally dyed garments, aiming to provide research-based strategies for the design and development of such garments. In this study, we utilized the KJ method for the detailed categorization of the functionalities of naturally dyed garments, establishing five dimensions and thirty demand indicators. Based on this, the KANO model, coupled with the Better–Worse coefficient and the quadrant analysis method, was used to classify different demand items, ranking their satisfaction and importance. The results indicate that the wearing experience and environmental characteristics of products are key determinants influencing Chinese consumers’ demand for naturally dyed clothing. The top five factors significantly impacting product satisfaction, in descending order of importance, are comfort, environmentally friendly dyeing techniques, safety, degradability, and durability. Therefore, to ensure consumer satisfaction with naturally dyed clothing, these factors should be prioritized when establishing a support system that caters to consumer needs. Our findings can help companies to better understand consumers’ actual need for naturally dyed garments, enabling the more targeted development and optimization of such garments, enhancing product competitiveness, and promoting the green transformation and sustainable development of enterprises. Simultaneously, this study also contributes novel theoretical approaches and ideas for future research on consumer demand. Full article