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With the ongoing intensification of VUCA environment, enhancing service innovation performance has become a crucial choice for enterprises striving for sustainable development. The emergence of digital transformation offers construction enterprises an opportunity to bolster their service innovation performance. However, effectively leveraging digital transformation for this purpose remains a formidable challenge. Therefore, this study proposes a theoretical model from the perspective of Resource-Based View, named “Digital Transformation-Dual Innovation-Service Innovation Performance”, to explore the impact of digital transformation on the service innovation performance of construction enterprises. This model proposes the impact path of digital transformation on service innovation performance, as well as a mediating role of dual innovation in this relationship. A questionnaire was designed and administered in China for collecting 291 valid responses. An analysis revealed that digital transformation exerts a positive impact on both dual innovation and service innovation performance, with the former proving to be more significant. Furthermore, dual innovation not only significantly enhances service innovation performance but also serves as a partial mediator between digital transformation and service innovation performance. The findings of this research clarify the internal mechanism by which digital transformation empowers service innovation in construction enterprises, offering insights for enhancing service innovation performance and achieving sustainable development.

This study presents the moderating effect of innovative culture on the relationship between knowledge management and firm innovativeness. The consequences of organisations that do not practice innovative culture would result in their inability to respond and react effectively to changes in the dynamic nature of the business environment and henceforth unable to achieve superior performance. In attempting to answer the research questions, a total of 202 MSC Malaysia organisations took part in the survey. To assess the developed model, WarpPLS (version 7.0) was applied based on path modelling and then bootstrapping. The results highlighted that three of the four dimensions of knowledge management, namely knowledge acquisition, knowledge application and knowledge protection were positively and significantly related to firm innovativeness. On the other hand, innovative culture was found to moderate the relationships between knowledge acquisition and firm innovativeness; and knowledge application and firm innovativeness.

The upsurge in higher education is considered a key determinant for enhancing green growth. Moreover, ICT development is also the main catalyst of green growth. This research explores the role of higher education and ICT on green growth for China from 1995 to 2020. The study employs auto-regressive distributive lag (ARDL) approach for short-run and long-run estimates of green growth. The effect of higher education and ICT on green growth is significantly positive in the long run and short run. The outcomes of the empirical models reveal that financial inclusion is positively associated with green growth in both long run and short run. Moreover, renewable energy consumption is found to have a positive impact on green growth. The findings thus point to the need for policies that promote human capital and ICT infrastructure as a way of accelerating green growth.

Information technology advancements integrated with the e-commerce supply chain allow participants in the business process to effectively work with large volumes of data and control transactions. To improve the profitability and competitiveness of e-commerce companies, a blockchain solution was incorporated into the global B2B (Business-to-Business) supply chain. This technology simplified the transaction process by providing all participants in the sustainable B2B buying process with the same data about the trade. Overall, the use of blockchain improved the efficiency of logistics and digital documentation which reached 74% and 75%, respectively. The main advantage of using blockchain is that it creates a decentralized database that is secure. In addition, it increases the speed of payment and the reliability and transparency of data transfer. Further research may focus on the use of blockchain in green logistics to improve environmental sustainability in the e-commerce supply chain.

Passenger demand characteristics for electrical multiple unit (EMU) trains with sleeping cars will directly affect the train operation scheme in a long transportation corridor. Descriptive statistics of individual attributes and passenger choice intentions for EMU trains with sleeping cars are calculated based on the revealed preference (RP) and stated preference (SP) survey data in Northwest China to illustrate the overall conditions of passengers’ demands. Considering the higher dimensionality and multi-collinearity in the dataset of influencing factors, the factor analysis method was first adopted to reduce the number of dimensions of the raw dataset and obtain orthogonal common factors. Then, the ordinal logistic regression model was adopted to test and perform a regression analysis based on multinomial logit theory. The analysis shows that these influencing factors, such as income, profession, educational background and residence, would have a greater impact on the choice of an EMU train with sleeping cars. It is significant that passengers’ choice intentions are positively correlated with income and educational background. The result can provide some reference for the decision-making regarding operating an EMU train with sleeping cars in Northwest China. In addition, the proposed method can be applied to the analysis of passengers’ demand characteristics in similar situations.

Under the “new normal”, China is facing more severe carbon emissions reduction targets. This paper estimates the carbon emission data of various provinces in China from 2008 to 2014, constructs a revised gravity model, and analyzes the network structure and effects of carbon emissions in various provinces by using social network analysis (SNA) and quadratic assignment procedure (QAP) analysis methods. The conclusions show that there are obvious spatial correlations between China’s provinces and regions in terms of carbon emissions: Tianjin, Shanghai, Zhejiang, Jiangsu and Guangdong are in the center of the carbon emission network, and play the role of “bridges”. Carbon emissions can be divided into four blocks: “bidirectional spillover block”, “net beneficial block”, “net spillover block” and “broker block”. The differences in the energy consumption, economic level and geographical location of the provinces have a significant impact on the spatial correlation relationship of carbon emissions. Finally, the improvement of the robustness of the overall network structure and the promotion of individual network centrality can significantly reduce the intensity of carbon emissions.

This study explores the impact of public concerns on green innovation in China’s automotive industry and examines whether the effect varies based on firm size, ownership, and time phase. The study investigates 151 automobile enterprises and provides a novel, large-scale, and data-based perspective and estimation method for exploring critical factors of green innovation. By applying transition probabilities matrix (TPM) model, this paper finds that for different-sizes automotive enterprises there are significant differences in innovation sustainability, non-innovation sustainability, and liquidity between innovation and non-innovation, and such differences also exist for state-owned and non-state-owned enterprises. Then, based on the dynamic panel random probit (DPRP) model, the paper further analyzes the possible reasons for these differences, and particularly focuses on exploring the impact of public environmental concern on the environmental technology innovation. The empirical results show: 1) public concerns encourages green innovation emerging in all automotive firms, but only affects innovation persistence in medium and large companies. 2) public concerns encourages non-innovator state-owned companies to become innovators and motivates them to maintain continuous innovation. 3) the impact of public concerns changes over time. In the periods of 2002–2007 and 2012–2013, the role of public concerns is not significant. However, in the 2007–2012 period, public concerns significantly stimulate enterprises to move from non-innovators to innovators and promotes continuous innovation.

The sustainable development of the aquaculture industry is of great significance for national food security within the context of increasing consumer demand, scarce land resources, and continuous ecological and environmental deterioration. China is a major shrimp farming country. It is crucial to investigate the spatiotemporal variations in the characteristics of shrimp aquaculture for the stability and sustainable development of China’s shrimp aquaculture industry, as well as to explore an optimization strategy for the spatial layout of this industry. Existing research mainly focuses on the fluctuations in shrimp production and their influencing factors, while studies on the spatiotemporal variations of shrimp aquaculture and their influencing mechanisms are few. In this study, we analyzed the patterns of spatiotemporal variation in shrimp aquaculture in China and further explored their influencing factors using standard deviational ellipse and Geodetector, based on China’s shrimp aquaculture production data from 2003 to 2020. The results show that (1) there has been a steady upward trend in shrimp aquaculture production in China over the past 18 years, with a growth rate of 128% and an average annual growth rate of 5.2%; (2) the spatial distribution range of shrimp farms has expanded, showing a zonal distribution pattern from the northeast to southwest, and the center of the shrimp aquaculture industry has generally shifted southward; and (3) the level of development within the fishing industry, labor quantity, and per capita income are the main factors affecting the spatial distribution variability of shrimp aquaculture. The degree of influence of each different factor on spatial distribution of shrimp aquaculture varied temporally.