PurposeCustomers' focus increasingly turns to the green practices of firms. Organizations need to rethink their strategies and position themselves concerning their environmental responsibility. The idea behind this study is to observe the influence of hotel website quality and hotel environmental management initiative (HEMI) on green customer loyalty in the Pakistan hotel industry with the mediating role of green trust (GT) and green satisfaction (GS).Design/methodology/approachThe study is quantitative, and partial least squares structural equation modelling followed to test the proposed hypotheses. A total of 542 questionnaires were used for analysis through SPSS 25.0 and SmartPLS 3.2.9.FindingsThe findings confirm the proposed positive influence of hotel website quality and HEMI on green customer loyalty. Moreover, GT and GS significantly mediate the relationship, further enhancing the relevance of green practices for hotels.Practical implicationsHotel management can get maximum customer loyalty to concentrate on hotel website quality, HEMI, GT and GS.Originality/valueThis study aims to develop a research model to incorporate hotel website quality, HEMI, GT, GS and green customer loyalty by using signalling theory and natural resource-based view theory that prior studies ignored.

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The purpose of this article is to screen out the most important factors affecting China’s economic growth. Based on a literature review and relevant financial theoretical knowledge, China’s economic growth factors are selected from international and domestic aspects. Four methods, including least squares estimation, stepwise regression, ridge regression estimation, and Lasso regression, are used to screen and optimize 12 variables and analyze the degrees of influence empirically. The study finds that consumption levels and the development of the tertiary industry play significant roles in promoting China’s economic growth. Additionally, financial development and industrialization promote China’s economic growth, although in a gradual manner.

Industry sustainability plays a vital role in shaping the environment for cultural and creative business development. However, considering the influence of the external environment and random factors on the technical efficiency (T.E.) of cultural and creative industries with the inherent defects of the traditional data envelopment analysis (DEA) model; this manuscript analyzed the operating efficiency of 56 cultural and creative enterprises using the three-stage DEA model from 2012 to 2018. An analysis of the results shows that differences in efficiency exist between stage one and stage three DEA. Furthermore, the environmental elements and statistical noise measured by the stochastic frontier analysis (SFA) in stage two reveal positive and negative influences on the creative cultural enterprises at different stages. As a result, the overall efficiency of the listed cultural and creative industries was revealed to be low in China. Finally, this study suggested effective countermeasures and recommendations for better-operating efficiency systems for cultural and creative enterprises.

Knowledge learning is a vital pre-factor and the driving force of green enterprise innovation; hence, meriting the numerous academic research and accumulated relevant literature. In this paper, the meta-analysis methodology was used to explore the direction and intensity of the influence of knowledge learning on green enterprise innovation, taking 32 independent documents as research samples. Meta-analysis results showed that the search breadth and the search depth of green resources and the green resources absorption and integration have significant positive effects on the green innovation of enterprises, among which green resources absorption and integration were the most important. Further, the research on the moderating effect found that the measurement method of green innovation affected the relationship between knowledge learning and green enterprise innovation; however, the moderating effect of the research object was not pronounced.