5 datasets found
  1. f

    S1 Data -

    • plos.figshare.com
    bin
    Updated Aug 19, 2024
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    Yang Liu; Yuan Zhang; Rui Jiang; Jing Cheng; JingJing Dai (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0308716.s001
    Explore at:
    binAvailable download formats
    Dataset updated
    Aug 19, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yang Liu; Yuan Zhang; Rui Jiang; Jing Cheng; JingJing Dai
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Amidst growing skepticism towards globalization and rising digital trade, this study investigates the impact of Restrictions on Cross-Border Data Flows (RCDF) on Domestic Value Chains (DVCs) stability. As global value chains participation declines, the stability of DVCs—integral to internal economic dynamics—becomes crucial. This study situates within a framework exploring the role of innovation and RCDF in the increasingly interconnected global trade. Using a panel data fixed effect model, our analysis provides insights into the varying effects of RCDF on DVCs stability across countries with diverse economic structures and technological advancement levels. This approach allows for a nuanced understanding of the interplay between digital trade policies, value chain stability, and innovation. RCDF tend to disrupt DVCs by negatively impacting innovation, which necessitates proactive policy measures to mitigate these effects. In contrast, low-income countries experience a less detrimental impact; RCDF may even aid in integrating their DVCs into Global Value Chains, enhancing economic stability. It underscores the need for dynamic, adaptable policies and global collaboration to harmonize digital trade standards, thus offering guidance for policy-making in the context of an interconnected global economy.

  2. f

    Data from: Variable description.

    • plos.figshare.com
    xls
    Updated Aug 19, 2024
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    Yang Liu; Yuan Zhang; Rui Jiang; Jing Cheng; JingJing Dai (2024). Variable description. [Dataset]. http://doi.org/10.1371/journal.pone.0308716.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 19, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yang Liu; Yuan Zhang; Rui Jiang; Jing Cheng; JingJing Dai
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Amidst growing skepticism towards globalization and rising digital trade, this study investigates the impact of Restrictions on Cross-Border Data Flows (RCDF) on Domestic Value Chains (DVCs) stability. As global value chains participation declines, the stability of DVCs—integral to internal economic dynamics—becomes crucial. This study situates within a framework exploring the role of innovation and RCDF in the increasingly interconnected global trade. Using a panel data fixed effect model, our analysis provides insights into the varying effects of RCDF on DVCs stability across countries with diverse economic structures and technological advancement levels. This approach allows for a nuanced understanding of the interplay between digital trade policies, value chain stability, and innovation. RCDF tend to disrupt DVCs by negatively impacting innovation, which necessitates proactive policy measures to mitigate these effects. In contrast, low-income countries experience a less detrimental impact; RCDF may even aid in integrating their DVCs into Global Value Chains, enhancing economic stability. It underscores the need for dynamic, adaptable policies and global collaboration to harmonize digital trade standards, thus offering guidance for policy-making in the context of an interconnected global economy.

  3. f

    Descriptive statistics.

    • plos.figshare.com
    xls
    Updated Aug 19, 2024
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    Yang Liu; Yuan Zhang; Rui Jiang; Jing Cheng; JingJing Dai (2024). Descriptive statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0308716.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 19, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yang Liu; Yuan Zhang; Rui Jiang; Jing Cheng; JingJing Dai
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Amidst growing skepticism towards globalization and rising digital trade, this study investigates the impact of Restrictions on Cross-Border Data Flows (RCDF) on Domestic Value Chains (DVCs) stability. As global value chains participation declines, the stability of DVCs—integral to internal economic dynamics—becomes crucial. This study situates within a framework exploring the role of innovation and RCDF in the increasingly interconnected global trade. Using a panel data fixed effect model, our analysis provides insights into the varying effects of RCDF on DVCs stability across countries with diverse economic structures and technological advancement levels. This approach allows for a nuanced understanding of the interplay between digital trade policies, value chain stability, and innovation. RCDF tend to disrupt DVCs by negatively impacting innovation, which necessitates proactive policy measures to mitigate these effects. In contrast, low-income countries experience a less detrimental impact; RCDF may even aid in integrating their DVCs into Global Value Chains, enhancing economic stability. It underscores the need for dynamic, adaptable policies and global collaboration to harmonize digital trade standards, thus offering guidance for policy-making in the context of an interconnected global economy.

  4. f

    Mechanism test: mediating effect.

    • plos.figshare.com
    xls
    Updated Aug 19, 2024
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    Yang Liu; Yuan Zhang; Rui Jiang; Jing Cheng; JingJing Dai (2024). Mechanism test: mediating effect. [Dataset]. http://doi.org/10.1371/journal.pone.0308716.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 19, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yang Liu; Yuan Zhang; Rui Jiang; Jing Cheng; JingJing Dai
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Amidst growing skepticism towards globalization and rising digital trade, this study investigates the impact of Restrictions on Cross-Border Data Flows (RCDF) on Domestic Value Chains (DVCs) stability. As global value chains participation declines, the stability of DVCs—integral to internal economic dynamics—becomes crucial. This study situates within a framework exploring the role of innovation and RCDF in the increasingly interconnected global trade. Using a panel data fixed effect model, our analysis provides insights into the varying effects of RCDF on DVCs stability across countries with diverse economic structures and technological advancement levels. This approach allows for a nuanced understanding of the interplay between digital trade policies, value chain stability, and innovation. RCDF tend to disrupt DVCs by negatively impacting innovation, which necessitates proactive policy measures to mitigate these effects. In contrast, low-income countries experience a less detrimental impact; RCDF may even aid in integrating their DVCs into Global Value Chains, enhancing economic stability. It underscores the need for dynamic, adaptable policies and global collaboration to harmonize digital trade standards, thus offering guidance for policy-making in the context of an interconnected global economy.

  5. f

    Regression results.

    • plos.figshare.com
    xls
    Updated Aug 19, 2024
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    Yang Liu; Yuan Zhang; Rui Jiang; Jing Cheng; JingJing Dai (2024). Regression results. [Dataset]. http://doi.org/10.1371/journal.pone.0308716.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 19, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yang Liu; Yuan Zhang; Rui Jiang; Jing Cheng; JingJing Dai
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Amidst growing skepticism towards globalization and rising digital trade, this study investigates the impact of Restrictions on Cross-Border Data Flows (RCDF) on Domestic Value Chains (DVCs) stability. As global value chains participation declines, the stability of DVCs—integral to internal economic dynamics—becomes crucial. This study situates within a framework exploring the role of innovation and RCDF in the increasingly interconnected global trade. Using a panel data fixed effect model, our analysis provides insights into the varying effects of RCDF on DVCs stability across countries with diverse economic structures and technological advancement levels. This approach allows for a nuanced understanding of the interplay between digital trade policies, value chain stability, and innovation. RCDF tend to disrupt DVCs by negatively impacting innovation, which necessitates proactive policy measures to mitigate these effects. In contrast, low-income countries experience a less detrimental impact; RCDF may even aid in integrating their DVCs into Global Value Chains, enhancing economic stability. It underscores the need for dynamic, adaptable policies and global collaboration to harmonize digital trade standards, thus offering guidance for policy-making in the context of an interconnected global economy.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
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Yang Liu; Yuan Zhang; Rui Jiang; Jing Cheng; JingJing Dai (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0308716.s001

S1 Data -

Related Article
Explore at:
binAvailable download formats
Dataset updated
Aug 19, 2024
Dataset provided by
PLOS ONE
Authors
Yang Liu; Yuan Zhang; Rui Jiang; Jing Cheng; JingJing Dai
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Amidst growing skepticism towards globalization and rising digital trade, this study investigates the impact of Restrictions on Cross-Border Data Flows (RCDF) on Domestic Value Chains (DVCs) stability. As global value chains participation declines, the stability of DVCs—integral to internal economic dynamics—becomes crucial. This study situates within a framework exploring the role of innovation and RCDF in the increasingly interconnected global trade. Using a panel data fixed effect model, our analysis provides insights into the varying effects of RCDF on DVCs stability across countries with diverse economic structures and technological advancement levels. This approach allows for a nuanced understanding of the interplay between digital trade policies, value chain stability, and innovation. RCDF tend to disrupt DVCs by negatively impacting innovation, which necessitates proactive policy measures to mitigate these effects. In contrast, low-income countries experience a less detrimental impact; RCDF may even aid in integrating their DVCs into Global Value Chains, enhancing economic stability. It underscores the need for dynamic, adaptable policies and global collaboration to harmonize digital trade standards, thus offering guidance for policy-making in the context of an interconnected global economy.

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