| Literature DB >> 35096752 |
Xiaotao Zhang1, Da Huo1, Shuang Meng1, Junhang Li1, Zhicheng Cai1.
Abstract
This is the first study to analyze the spatial spillover effect of the internet on trade performance based on a vision of the public's sleep health. The internet's effect on trade performance has been enhanced in a new economy consisting of larger global markets. An overall improvement in health gradually impacts economic development. In this study, hierarchical modeling is applied to reveal the effect of the internet on trade performance at a fundamental level, and the effect of sleep health on trade performance at general level. The global network is structured by a spatial weight matrix based on the Mahalanobis distance of the internet and sleep health. Furthermore, spatial autoregressive modeling is applied to study the effect of the spatial weight matrix based on the Mahalanobis distance matrix of the internet and sleep health on trade performance. The spatial Durbin modeling is applied to further analyze the interaction effect of the spatial weight matrix and countries' factors on trade performance. It was found that the internet has a positive effect on trade performance, and good sleep health can be helpful to the spillover effect of the internet on trade performance. The interaction of the spatial weight matrix and gross domestic product (GDP) can further enhance the effect. This research can assist global managers to further understand the spatial spillover effect of the internet on trade performance based on a vision of the public's sleep health.Entities:
Keywords: global network; internet spillover effect; sleep health; spatial modeling; trade performance
Mesh:
Year: 2022 PMID: 35096752 PMCID: PMC8793007 DOI: 10.3389/fpubh.2021.806694
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Hierarchical model to effect of internet and sleeping health on trade performance.
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|---|---|---|---|---|
| Server | 0.022 | 0.014 | 0.097 | −0.016 |
| Exchange | 0.003 | −0.014 | 0.083 | 0.03 |
| GDP | 0.735 | 0.769 | 0.775 | 0.731 |
| Population | −0.047 | −0.023 | −0.032 | 0.061 |
| Server*Exchange | −0.006 | −0.002 | ||
| Server*GDP | 0.001 | 0.01 | ||
| Server | −0.006 | −0.015 | ||
| Sleep | −1.323 | −1.065 | −0.708 | −0.099 |
| N | 330 | 330 | 330 | 330 |
p < 0.05,
p < 0.01,
p < 0.005.
Spatial autoregressive model to effect of internet and sleeping health on trade performance.
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|
|
| |
|---|---|---|---|---|
| Server | 0.006 | 0.0002 | 0.141 | 0.026 |
| Exchange | 0.009 | −0.009 | 0.092 | 0.039 |
| GDP | 0.639 | 0.665 | 0.719 | 0.67 |
| Population | 0.028 | 0.076 | 0.014 | 0.126 |
| Server | −0.007 | −0.003 | ||
| Server | −0.004 | 0.006 | ||
| Server | −0.001 | −0.01 | ||
| rho | 0.481 | 0.502 | 0.482 | 0.473 |
| N | 330 | 330 | 330 | 330 |
p < 0.05,
p < 0.01,
p < 0.005.
Figure 1Global network structured by internet and public's sleep health.
Spatial durbin model to effect of internet and sleeping health on trade performance.
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| |
|---|---|---|---|---|
| Server | 0.022 | −0.008 | −0.021 | −0.113 |
| Exchange | 0.006 | −0.134 | 0.085 | 0.022 |
| GDP | 0.615 | 0.669 | 0.611 | 0.593 |
| Population | 0.111 | 0.082 | 0.093 | 0.134 |
| Server*Exchange | −0.006 | −0.002 | ||
| Server | 0.003 | 0.01 | ||
| Server | −0.001 | −0.008 | ||
| W | −0.061 | 0.019 | −1.262 | −1.027 |
| W | −0.169 | −0.162 | −0.189 | −0.648 |
| W | 0.369 | 0.371 | 0.717 | 0.828 |
| W | 1.113 | 0.033 | −0.668 | −1.468 |
| W | −0.016 | 0.026 | ||
| W | −0.056 | −0.067 | ||
| W | 0.162 | 0.165 | ||
| rho | 0.167 | 0.146 | 0.218 | 0.153 |
| N | 330 | 330 | 330 | 330 |
p < 0.05,
p < 0.01,
p < 0.005.