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.

While digitalization offers new opportunities for small- and medium-sized enterprises (SMEs), it also introduces the phenomenon of the “digitalization paradox”. This paper develops a theoretical model comprising digitalization, digital technology–business alignment, external social capital, and SMEs’ performance, rooted in strategic alignment theory (SAT) and social capital theory (SCT). The necessary data for the study were obtained by distributing questionnaires to 352 small and medium-sized enterprises engaged in digital practices in China, and hierarchical regression analysis was employed to investigate the impact of digitalization on the performance of SMEs and its boundaries of influence. The results indicate an inverted U-shaped relationship between digitalization and SME performance, with both digital technology–business alignment and external social capital serving as positive moderators. Specifically, digital technology–business alignment and external social capital both enhance the positive impact of digitalization on the performance of SMEs and mitigate its negative effects. The findings enhance comprehension of the “digitalization paradox” and offer new insights and solutions for SMEs to navigate the opportunities and challenges of digitalization.

Amidst the digital economy surge, live streaming e-commerce of agricultural products has significantly boosted agricultural prosperity. Investigating farmers’ behavioral intentions toward adopting live streaming e-commerce holds critical importance for fostering agricultural healthy and swift growth. Utilizing the Technology Acceptance Model (TAM) as a foundation, this study incorporates three additional variables—government support, platform support, and social learning—to devise a theoretical model. It takes the agriculture-related live streaming e-commerce platform as an example, with 424 Chinese farmers as the sample, to quantitatively assess the factors that impact the intentions to adopt live streaming e-commerce behaviors. The findings indicate that, firstly, the TAM is applicable to the assessment of farmers’ intentions to adopt live streaming e-commerce. Secondly, government support positively impacts perceived usefulness, social learning enhances perceived ease of use, and platform support positively impacts both perceived ease of use and usefulness. Lastly, the technology acceptance extension model applicability varies among farmer groups: government support influence on perceived ease of use is more significant among traditional farmers, social learning impact on perceived ease of use is higher in farmers with higher education levels, and platform support effect on perceived usefulness is stronger among farmers experienced in e-commerce. Therefore, differentiated promotion strategies by the government are necessary, and e-commerce platforms should leverage their technology to offer efficient services and encourage farmer education. A multi-party collaboration model involving the government, platforms, and farmers is essential to collectively foster the healthy development of rural live streaming e-commerce.

Manufacturing new ventures aiming to realize green innovative development play an essential role in the process of realizing the green transformation of economy and society. However, there is limited research on green manufacturing new ventures, and scholars have different views on whether green innovation strategy can improve new venture performance. This paper attempts to fill this gap by proposing a comprehensive framework of the relationship among green innovation strategy, green knowledge sharing, business model innovation, and new venture performance, based on the natural resource-based view. Through the empirical analysis of 240 sample enterprises in China, the results show that green innovation strategy has a significant positive effect on new venture performance. Green knowledge sharing and business model innovation are the essential paths for new ventures to achieve performance growth. Additionally, green knowledge sharing and business model innovation play a chain mediating role between green innovation strategy and new venture performance. This study suggests directions for manufacturing new ventures implementing a green innovation strategy to enhance performance and establishes a theoretical basis for the green transformation development of China’s economy and society.

Manufacturing enterprises have realized that organizational learning is conducive to the development of environmental and economic sustainability. However, prior literature has paid less attention to how green learning orientation affects sustainable performance. Based on organizational learning theory, this article constructs a moderated mediating model of the impact of green learning orientation on sustainable performance, using green innovation behavior as the mediating variable and corporate social responsibility (CSR) as the moderating variable. Through the empirical analysis of 193 valid questionnaires from middle and senior managers in Chinese manufacturing enterprises, the results show that green learning orientation positively affects green innovation behavior and sustainable performance, green innovation behavior plays a partial mediating role between green learning orientation and sustainable performance, the relationship between green learning orientation and green innovation behavior depends on CSR, and the mediating effect of green innovation behavior is moderated by CSR. The results provide a theoretical basis and practical implications for promoting green learning and improving sustainable performance of enterprises.

In the 21st century’s global push for sustainable development, strategies for new urbanization and rural revitalization in China have transitioned from traditional geographic expansion to a focus on high-quality integration across ecological, social, and economic dimensions. Employing advanced methods such as the entropy weight TOPSIS, coupling coordination model, kernel density estimation, Markov chain, and geographic detector, this study comprehensively explores the spatiotemporal dynamics and driving mechanisms of urban–rural integration in China from 2001 to 2022. Key findings reveal increasing coupling coordination degrees in each province, with significant spatial variations. Notably, during the 15th Five-Year Plan, all regions, including eastern, central, and western areas, exhibited low-level coupling coordination. However, a decreasing ladder-like distribution emerged during the 13th and 14th Five-Year Plans, forming a development pattern centered on eastern coastal regions and spreading inland. The central regions experienced significant changes in development kernel density, while the national eastern and western regions remained relatively stable. Looking ahead, highly coupled regions are expected to maintain leadership, positively influencing neighboring areas and propelling overall urban–rural development towards sustainable goals. Conversely, low-level coupled regions require deeper reforms for leap-frog development. The core driving forces behind spatiotemporal differences in coupling coordination degrees involve innovation within the environment, government capabilities, openness to the outside world, and population agglomeration. Secondary roles are played by factors like non-agricultural industrialization, per capita GDP, government investment, and market conditions, while education, healthcare, transportation, and natural resource levels act as bridges in spatiotemporal differentiation. Overall, this study provides a concise spatiotemporal interpretation and strategic recommendations for urban–rural sustainable integration development, advancing towards a more harmonious, green, and just future in alignment with the core principles of sustainable development.