RETRACTED ARTICLE: Assessing the impact of green finance and urbanization on the tourism industry—an empirical study in China

As a result of the COVID-19 pandemic, production costs have grown, while human and economic resources have been reduced. COVID-19 epidemic costs can be reduced by implementing green financial policies, including carbon pricing, transferable green certificates, and green credit. In addition, China's tourist industry is a significant source of revenue for the government. Coronavirus has been found in 30 Chinese regions, and a study is being conducted to determine its influence on the tourism business and green financial efficiency. Econometric strategies that are capable of dealing with the most complex issues are employed in this study. According to the GMM system, the breakout of Covid-19 had a negative effect on the tourism business and the efficiency of green financing. Aside from that, the effects of gross capital creation, infrastructural expansion, and renewable energy consumption are all good. The influence of per capita income on the tourism industry is beneficial but detrimental to the efficiency of green finance. Due to the current pandemic condition, this report presents a number of critical recommendations for boosting tourism and green financial efficiency.

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Impact of the COVID-19 outbreak on China’s tourism economy and green finance efficiency

Zhu²

2023

“…The latest estimates by the UNWTO see China overtaking the USA as the most frequented nation by 2020 (Mishra et al, 2021 ). Considering this importance, researchers intend to research enhancing tourism growth through carbon emission mitigation with the role of green finance (Ip et al, 2022 ). This is the core motivation for studying.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: The role of green financing to enhance tourism growth by mitigating carbon emission in China

Wang

2023

The tourism industry has undergone rapid inquiry in modern times. Based on climatic importance, current research intends to inquire about the role of green financing in enhancing tourism growth by mitigating carbon emissions in China. The study used Data Envelopment Analysis to infer the efficiency of the study model in the study context based on research topicality. Our findings highlighted that China’s local tourism destination, renowned for its health and wellness tourism, indicated tourist inspiration to visit climate-supporting visit stations. Study results extended that using green financing for climate change mitigation in a Chinese tourist destination is essential. Empirical results confirmed that green funding directly mitigated climate change and enhanced tourism growth in Chinese settings by solving related issues. On such findings, the study yielded the practical implications for green financing institutions, climate change policymakers and Chinese officials for tourism development.

“…We review the most recent literature on SS models and the best–worst methods in this section to identify any gaps and explain why the suggested methods are needed (Akbar et al 2021 ; Chang et al 2022 ; Hou et al 2019 ; Ip et al 2022 ; Z. Liu et al 2022 ; Wen et al 2022 ). Because of the burgeoning amount of existing research on supplier selection, the current study reviews the usually used context of multi-standard SS.…”

Section: Theoretical Background On Supplier Selection (Ss)mentioning

confidence: 99%

“…We review the most recent literature on SS models and the best-worst methods in this section to identify any gaps and explain why the suggested methods are needed (Akbar et al 2021;Chang et al 2022;Hou et al 2019;Ip et al 2022;Z. Liu et al 2022;Wen et al 2022).…”

Section: Theoretical Background On Supplier Selection (Ss)mentioning

confidence: 99%

A model for green-resilient supplier selection: fuzzy best–worst multi-criteria decision-making method and its applications

Hailiang

Khokhar

Islam

et al. 2023

Supplier selection is regarded as the primary goal of supply chain management (SCM) because it affects its performance, productivity, pleasure, flexibility, and system speed in lockdown. A new method is proposed based on a multi-stage fuzzy sustainable supplier index (FSSI). Experts can use the triple bottom line (TBL) criteria to select the best supplier. In addition, the worst method is proposed based on trapezoidal membership and fuzzy membership functions, which can cover uncertainties and ambiguous environments. Because it collects the related criteria and sub-criteria and uses a direct fuzzy methodology, this research has impacted the SCM literature because it helps solve previous expert methods’ computational difficulties. In addition, an ordered mean integration representation method has been implemented to prioritize the selection of the best supplier (SS) based on the sustainability performance of the best supplier, which improves the selection accuracy compared to the previous ranking method. This study can be used as a benchmark to determine which supplier is the best in sustainability. To provide the superiority and broad applicability of the proposed model, a practical case study was completed. On the other hand, the COVID-19 pandemic harms productivity, company performance, and selecting the best suppliers based on sustainability performance. The lockdown situation caused by the COVID-19 pandemic hurts company performance and management.