Research on development of digital finance in improving efficiency of tourism resource allocation

Wang, Qin; Yang, Li; Zhong-gang, Yue

doi:10.1016/j.resenv.2022.100054

Cited by 33 publications

(29 citation statements)

References 10 publications

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“…On the other hand, the information matching function of digital finance can alleviate information asymmetry and enhance the allocation efficiency of financial resources [50,51]. Most scholars believe that information asymmetry between the financial market and innovation subject is one of the main reasons for inefficient resource allocation.…”

Section: Research Hypothesesmentioning

confidence: 99%

Digital Finance, Environmental Regulation, and Green Technology Innovation: An Empirical Study of 278 Cities in China

Dai

Zhao

2022

Sustainability

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Digital finance provides a premises guarantee for green technology innovation, and effective environmental regulation helps to achieve green and sustainable development. This article selects Chinese urban panel data from 2011 to 2019 to explore the impact mechanism of the influence of digital finance and environmental regulation on the innovation capacity of green science and technology. It is found that extensive financing channels and the strong information-matching ability of digital finance have a significant promoting effect on local green science and technology innovation. Moreover, government environmental regulation not only facilitates the development of green technology innovation locally and in nearby regions, but also strengthens the utility of digital finance in driving green science and technology innovation. Further research found that the influence of digital finance and environmental regulation on the ability of green science and technology innovation has regional heterogeneity, and only digital finance in Central China can promote green science and technology innovation in both local and adjacent areas. Therefore, the government should continue to promote the development of digital finance, optimize environmental regulations by increasing environmental protection subsidies and creating a green innovation environment, and further stimulate willingness to innovate green technologies. At the same time, it is also important to note the coordinated development and governance with neighboring regional governments.

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Section: Research Hypothesesmentioning

confidence: 99%

Digital Finance, Environmental Regulation, and Green Technology Innovation: An Empirical Study of 278 Cities in China

Dai

Zhao

2022

Sustainability

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“…Digital information level is an essential tool to improve tourism environmental performance (Peng et al, 2017;Shu et al, 2022) and promote tourism towards sustainability (Filipiak et al, 2020). Information theory holds that digital technology development can reduce information asymmetry between tourists, businesses, and tourism authorities (Wang et al, 2022) and enhance the strategic agility of organizations (Hadjielias et al, 2022). Wang et al (2022) argues that digital finance can improve resource allocation efficiency by increasing tourism demand and promoting tourism entrepreneurship.…”

Section: Technical Conditions 2211 Digital Information Levelmentioning

confidence: 99%

“…Scholars have pointed out the impact of technological conditions on TET. Increasing digital information levels reduces information asymmetry and facilitates TET by easing access to information between subjects (Hadjielias et al, 2022;Wang et al, 2022). In the face of environmental and technological uncertainty, technology innovation capability reduces perceived risk and improves resource efficiency (Sarpong et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

What configurational conditions promote tourism eco-transformation? a fuzzy-set qualitative comparative analysis based on the TOE framework

Wang

Zheng

Zeng

et al. 2022

Front. Environ. Sci.

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Tourism eco-transformation can provide a long-lasting competitive advantage. However, successful transformation is a challenge for both academia and industry. The literature has focused on the net effect of a single factor. Still, we build on the Technology-Organization-Environment framework and propose that tourism eco-transformation does not depend on a single condition but the configurational effect of organization, environment, and technology. We found six conditions that influence eco-transformation in Chinese provinces. The results show that 1) the tourism eco-transformation in China from 2016 to 2019 “declines first and then rises,” indicating a “U” shape. Spatial distribution is stable; 2) We can classify the high-level transformation model into four configurational types: technology-pulling organization, proactive organization, environmental stress organization, and comprehensive organization. Not-high-level transformation model can be categorized as comprehensive absence and respectable; 3) There are three critical conditions for tourism external connections, environmental regulation, and tourism ecology promotion. In contrast, digital information level, technology innovation capability, and tourism resource endowment are largely determined based on the specific situation. We explore high-level and not-high-level configurational paths of tourism eco-transformation and gain new theoretical insights. We also guide tourism managers to choose or modify high-level tourism eco-transformation paths based on local characteristics to avoid not-high-level tourism eco-transformation situations.

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“…In contrast to single-resource indices, such as research and development (R&D) investment, technological innovation, and energy efficiency, resource allocation provides a comprehensive view of the resource utilization of a firm (Harrison et al 2017). Although some scholars have found that the digital economy can improve resource allocation, no corresponding econometric literature supports this finding (Wang et al 2022); since most studies on resource allocation and carbon emissions have focused on the macro level (Bian et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Relationship between the digital economy, resource allocation and corporate carbon emission intensity: new evidence from listed Chinese companies

Chen

2022

Environ. Res. Commun.

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Many studies have focused on the relationship between the digital economy and carbon emissions at the macro level. However, there is a relative dearth of research on this relationship at the micro level. In this study, we determined the impact of the digital economy on the carbon emissions of individual companies and the mediating role of resource allocation in this relationship using data from listed Chinese manufacturing companies between 2011 and 2019. This analysis yielded three main findings. First, based on firm-level carbon emissions and the borderless organization theory, we found that the digital economy significantly reduced corporate carbon emission intensity. Second, the digital economy reduced resource misallocation and improved resource efficiency, which in turn reduced corporate carbon emission intensity. Third, market drivers and government regulations improved and hindered the ability of the digital economy to reduce corporate carbon emission intensity, respectively. These findings provide evidence for the need for government investment in the development of digital technologies and corporate digitization; the use of digital technologies by businesses to improve resource and energy efficiency; and minimal government regulation of the digital economy in favor of self-regulation through market forces. These measures are important for economic transformation and the achievement of carbon neutrality in emerging developing countries, including China.

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Research on development of digital finance in improving efficiency of tourism resource allocation

Cited by 33 publications

References 10 publications

Digital Finance, Environmental Regulation, and Green Technology Innovation: An Empirical Study of 278 Cities in China

Digital Finance, Environmental Regulation, and Green Technology Innovation: An Empirical Study of 278 Cities in China

What configurational conditions promote tourism eco-transformation? a fuzzy-set qualitative comparative analysis based on the TOE framework

Relationship between the digital economy, resource allocation and corporate carbon emission intensity: new evidence from listed Chinese companies

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