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There is a dearth of empirical research examining the influence of various facets of sustainable banking on the environmental sustainability performance (SP) of banks in developing economies like Bangladesh. This study looks at how green banking practices (GBPs), green finance (GF) and corporate social responsibility (CSR) practices affect SP in both direct and indirect ways.

The research framework of this study was designed based on legitimacy theory to examine the direct and indirect impacts of GBP on environmental SP through GF and CSR practices. Based on a structured questionnaire and convenience sampling, the data were collected from banking institutions to investigate the association among the study variables. Subsequently, the obtained data were evaluated using a well-established structural equation modeling (SEM) approach via SmartPls 4.0 software.

The empirical findings reveal that GBP has a significant direct impact on GF, CSR practices and the banks' SP. Further, the findings show that GF has a direct and significant impact on CSR practices and SP. Likewise, CSR practices have a direct and significant influence on the SP of banks. Additionally, among indirect effects, both CSR practices and GF mediate the association between GBP and SP, whereas GF also has an indirect effect on the relationship between GBP and CSR practices. Surprisingly, the findings demonstrate that CSR practices do not have an indirect effect on the association between GF and SP. Hence, the greater the bank's involvement in green banking activities, the greater the influence of green financing and CSR practices on environmental sustainability.

This study adds to the growing body of research in the areas of sustainable banking and environmental sustainability literature by evaluating the link between GBP, CSR practices, GF and SP. Besides, this is a ground-breaking study that examines both direct and indirect effects of different aspects of sustainable banking (GBP, GF and CSR practices) on the SP of the banking industry in an emerging country like Bangladesh. On the theoretical level, it adds to the application and expansion of legitimacy theory in the sphere of banking and finance. It provides new insights into the dynamics of green banking, GF and CSR practices within the framework of legitimacy theory. Hence, the current study offers significant suggestions to managers, academicians and researchers on how to advance the sustainability of the banking industry by adopting green banking, GF and CSR practices.

One of the best ways to assist China is through infrastructure investment. China might become more resilient to natural calamities by pouring more money into its transport network. Analyzing the relationship between China's degree of planned expansion and the country's current network of transport hubs can help with city development estimates. A wide range of factors were taken into consideration while evaluating China's dominance and the caliber of its transportation infrastructure. Using a geographical autocorrelation model and a coupling coordination model, the dynamic link between China's adaptability and the caliber of its transportation infrastructure is examined.

China's northwest is underdeveloped in comparison to the southeast, which has a high level of resilience and development of its transportation infrastructure. The relationship between the levels of resilience upheld by China's transport infrastructure is suggested to be coordinated.

The authors find a positive geographical autocorrelation between the degree of coupling coordination and the degree of agglomeration, despite the fact that the distance between cities increases with time. They now believe that there is a connection between an area's population density and the degree of interspousal cooperation within. The consequence is an improvement in both national security and economic prosperity. The facilities for disaster management and transportation in China have received several proposals for improvement.

The authors' Practical Implications suggests that scale inefficiency is a major contributor to the relatively poor efficiency of China's primary inland river ports. Different types of inland river ports may have vastly different water system efficiencies. Input and output congestion at China's important interior river ports has reached 51%, making it very clear that massive amounts of valuable port resources are being wasted.

Many variables, such as climate and human error, affect the total amount of goods that can be moved via inner river ports. Ports situated either higher up or lower down the same canal may perform better or worse, respectively, depending on the circumstances.