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Green finance (GF) regards social responsibility and environmental protection interests as the core of development and has become a new growth point and a new engine for promoting the development of the green economy (GE). To more accurately grasp the coordination between GF and the GE, the selection of appropriate indicators and feasible methods is worth exploring. Aiming at sustainable development by evaluating the coupling coordination between GF and the GE by means of a comprehensive index system and an integrated approach, this study establishes a coupling coordination degree model based on panel data of 30 Chinese provinces over the period 2007–2016. Furthermore, it evaluates the spatial distribution difference and dynamic evolution trend of the coordination by introducing global/local spatial autocorrelation, a space Markov chain, and a local indicators of spatial association (LISA) Markov chain. According to the research results, the coupling coordination degrees of the provinces exhibit gradual upward trends, and most regions in China are in a barely coordinated state at present. The coordination degree of GF and the GE shows strong spatial dependence overall, and partially presents the characteristics of “high-high (HH)” and “low-low (LL)” clustering patterns. The forecast results show that the future coordination of GF and the GE will remain stable and be affected by the coordinated development of surrounding areas.

Digital financial inclusion (DFI) plays an increasingly important role in raising residents’ income levels and optimizing income structures. Using data from the 2015–2019 China Household Finance Survey (CHFS), this paper examines the impact of DFI on residents’ income and income structure from a microeconomic perspective using OLS fixed effects models and panel Tobit models. It was found that (1) DFI significantly raises residents’ income, increasing their total annual per capita household income by CNY4200, and increasing their annual per capita household wage income, business income and property income by CNY2430, CNY1030, and CNY450, respectively. In terms of different functions of DFI, the use of digital payment, digital lending and digital financing can raise the annual per capita household income of residents by CNY4250, CNY10,360 and CNY3050, respectively. (2) DFI increases wage income by enhancing residents’ household employment level, increases business income by promoting residents’ entrepreneurship, and increases property income by improving the financial market participation. (3) DFI has a more significant effect on increasing income for higher income groups as well as rural residents. The findings of this paper provide theoretical and practical support for optimizing the design of financial inclusion policies and exploring new drivers of income growth for residents.

Prefabricated construction (PC), with the characteristics of green, environmentally friendly, energy saving and high production efficiency, is attracting more and more attention from all over the world. Supply chain management is closely related to the application efficiency of PC, but only in the last three years has this interdisciplinary research received due attention. The prefabricated construction supply chain management (PCSCM) have not received enough attention. Especially recently, the related literature shows explosive growth. This paper adopted the method of systematic literature review through the tool of bibliometric statistics. And we reviewed 152 articles from 2001 to 2018, with the goal of understanding the current situation, trends, and gaps in PCSCM research, and a framework is proposed to promote its development. First, the study discussed the four themes of clustering, concentrating mainly on strategic research and project evaluation, PC supply chain process design and optimization, supply chain integration and management, and the application of advanced technology. Then, the research gaps and conceptual development framework to promote PCSCM were reported. Only through the coordinated development of technology, market circumstances, and decision-making level of participants, can the PCSC form an integrated whole, so as to optimize the efficiency and sustainability of prefabricated construction industry and improve its level.

The development of cross-border e-commerce is generally faced with problems such as high freight, long transportation time, and low service level. However, overseas warehouses can effectively solve the above problems to a certain extent, and they can improve consumer satisfaction. Therefore, this paper proposed a method combined with the entropy technique for order of preference by similarity to ideal solution (E-TOPSIS) model and complex network analysis theory to make a comprehensive determination of overseas warehouse locations for China’s e-commerce exports in the context of the Belt and Road Initiative (B&R). We selected 62 countries along the B&R as pre-candidates for overseas warehouse locations and then evaluated the significance of each node in cross-border e-commerce for Chinese export products. Finally, 15 countries were identified as the optimal overseas warehouse locations for Chinese export products along the B&R. The results can provide reference for overseas warehouse deployment of Chinese cross-border e-commerce enterprises as well as the development and the construction of the B&R.

Renewable energy resources (RESs) play an important role in the upgrading and transformation of the global energy structure. However, the question of how to improve the utilization efficiency of RESs and reduce greenhouse gas emissions is still a challenge. Combined heating and power (CHP) is one effective solution and has experienced rapid development. Nevertheless, with the large scale of RESs penetrating into the power system, CHP microgrid economic operation faces great challenges. This paper proposes a CHP microgrid system that contains renewable energy with considering economy, the environment, and system flexibility, and the ultimate goal is to minimize system operation cost and carbon dioxide emissions (CO2) cost. Due to the volatility of renewable energy output, the fuzzy C-means (FCM) and clustering comprehensive quality (CCQ) models were first introduced to generate clustering scenarios of the renewable energy output and evaluate the clustering results. In addition, for the sake of improving the flexibility and reliability of the CHP microgrid, this paper considers the battery and integrated energy demand response (IEDR). Moreover, the strategy choices of microgrid operators under the condition of grid-connected and islanded based on environment and interest aspects are also developed, which have rarely been involved in previous studies. Finally, this stochastic optimization problem is transformed into a mixed integer linear programming (MILP), which simplifies the calculation process, and the results show that the operation mode under different conditions will have a great impact on microgrid economic and environmental benefits.

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.

The supplier selection decision, within the scope of supply chain management (SCM), is one of the key decisions that plays an important role in the success of the business. The supplier selection problem, which aims to determine the most suitable suppliers in line with the demands of the enterprises, can be defined as a Multi-Criteria Decision Making (MCDM) problem that includes both quantitative and non-quantitative criteria. While there is a large body of literature on supplier selection studies using MCDM methods, the number of studies in the health sector is relatively low compared to other sectors. Although much research can be found regarding the application of MCDM techniques in clinical operations, less research has been conducted on the problem of supplier selection in healthcare services, which has a high complexity level. The main purpose of the study is to develop a holistic MCDM model as a decision support system for supplier selection in the health sector. The decision-making trial and evaluation laboratory (DEMATEL) and Analytical Network Process (ANP) methods were used together to analyze the model. The main criteria used in the study are price, quality, logistics, sustainability, and occupational health and safety (OHS). As sustainability and OHS rarely exist in supplier selection studies in the health sector, this holistic model can contribute to the literature in that aspect. According to the findings and the main criteria ranking, the most important criteria, emerged as price, quality, sustainability, OHS, technique, and logistics. The results indicate the importance of sustainability in supplier selection in the health sector. The method proposed in this study may help health managers as a support system for making purchasing decisions.

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.