4 datasets found
  1. f

    DFI, AIS and urban–rural income disparity.

    • figshare.com
    xls
    Updated Jun 27, 2024
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    Changcun Wen; Yiping Xiao; Bao Hu (2024). DFI, AIS and urban–rural income disparity. [Dataset]. http://doi.org/10.1371/journal.pone.0303666.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 27, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Changcun Wen; Yiping Xiao; Bao Hu
    License

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

    Description

    Rising income inequality challenges economic and social stability in developing countries. For China, the fastest-growing global digital economy, it could be an effective tool to promote inclusive development, narrowing urban–rural income disparity. It investigates the role of digital financial inclusion (DFI) in narrowing the urban–rural income gap. The study uses panel data from 52 counties in Zhejiang Province, China, from 2014 to 2020. The results show that the development of DFI significantly reduces rural–urban and rural income inequality. The development of DFI helps optimize industrial structure and upgrade the internal structure of agriculture, facilitating income growth for people in rural areas. Such effects are greater in poorer counties. Our findings provide insights into why rapid DFI and the narrowing of the rural–urban income disparity exist in China. Moreover, our results provide clear policy implications on how to reduce the disparity. The most compelling suggestion is that promoting the optimization of industrial structure through DFI is crucial for narrowing the urban–rural income gap.

  2. f

    DFI, IIS and urban–rural income disparity.

    • plos.figshare.com
    xls
    Updated Jun 27, 2024
    Share
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    Changcun Wen; Yiping Xiao; Bao Hu (2024). DFI, IIS and urban–rural income disparity. [Dataset]. http://doi.org/10.1371/journal.pone.0303666.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 27, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Changcun Wen; Yiping Xiao; Bao Hu
    License

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

    Description

    Rising income inequality challenges economic and social stability in developing countries. For China, the fastest-growing global digital economy, it could be an effective tool to promote inclusive development, narrowing urban–rural income disparity. It investigates the role of digital financial inclusion (DFI) in narrowing the urban–rural income gap. The study uses panel data from 52 counties in Zhejiang Province, China, from 2014 to 2020. The results show that the development of DFI significantly reduces rural–urban and rural income inequality. The development of DFI helps optimize industrial structure and upgrade the internal structure of agriculture, facilitating income growth for people in rural areas. Such effects are greater in poorer counties. Our findings provide insights into why rapid DFI and the narrowing of the rural–urban income disparity exist in China. Moreover, our results provide clear policy implications on how to reduce the disparity. The most compelling suggestion is that promoting the optimization of industrial structure through DFI is crucial for narrowing the urban–rural income gap.

  3. f

    IV Results.

    • plos.figshare.com
    xls
    Updated Jun 27, 2024
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    Changcun Wen; Yiping Xiao; Bao Hu (2024). IV Results. [Dataset]. http://doi.org/10.1371/journal.pone.0303666.t011
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 27, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Changcun Wen; Yiping Xiao; Bao Hu
    License

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

    Description

    Rising income inequality challenges economic and social stability in developing countries. For China, the fastest-growing global digital economy, it could be an effective tool to promote inclusive development, narrowing urban–rural income disparity. It investigates the role of digital financial inclusion (DFI) in narrowing the urban–rural income gap. The study uses panel data from 52 counties in Zhejiang Province, China, from 2014 to 2020. The results show that the development of DFI significantly reduces rural–urban and rural income inequality. The development of DFI helps optimize industrial structure and upgrade the internal structure of agriculture, facilitating income growth for people in rural areas. Such effects are greater in poorer counties. Our findings provide insights into why rapid DFI and the narrowing of the rural–urban income disparity exist in China. Moreover, our results provide clear policy implications on how to reduce the disparity. The most compelling suggestion is that promoting the optimization of industrial structure through DFI is crucial for narrowing the urban–rural income gap.

  4. f

    Descriptive statistics.

    • plos.figshare.com
    xls
    Updated Jun 27, 2024
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    Changcun Wen; Yiping Xiao; Bao Hu (2024). Descriptive statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0303666.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 27, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Changcun Wen; Yiping Xiao; Bao Hu
    License

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

    Description

    Rising income inequality challenges economic and social stability in developing countries. For China, the fastest-growing global digital economy, it could be an effective tool to promote inclusive development, narrowing urban–rural income disparity. It investigates the role of digital financial inclusion (DFI) in narrowing the urban–rural income gap. The study uses panel data from 52 counties in Zhejiang Province, China, from 2014 to 2020. The results show that the development of DFI significantly reduces rural–urban and rural income inequality. The development of DFI helps optimize industrial structure and upgrade the internal structure of agriculture, facilitating income growth for people in rural areas. Such effects are greater in poorer counties. Our findings provide insights into why rapid DFI and the narrowing of the rural–urban income disparity exist in China. Moreover, our results provide clear policy implications on how to reduce the disparity. The most compelling suggestion is that promoting the optimization of industrial structure through DFI is crucial for narrowing the urban–rural income gap.

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Changcun Wen; Yiping Xiao; Bao Hu (2024). DFI, AIS and urban–rural income disparity. [Dataset]. http://doi.org/10.1371/journal.pone.0303666.t005

DFI, AIS and urban–rural income disparity.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Jun 27, 2024
Dataset provided by
PLOS ONE
Authors
Changcun Wen; Yiping Xiao; Bao Hu
License

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

Description

Rising income inequality challenges economic and social stability in developing countries. For China, the fastest-growing global digital economy, it could be an effective tool to promote inclusive development, narrowing urban–rural income disparity. It investigates the role of digital financial inclusion (DFI) in narrowing the urban–rural income gap. The study uses panel data from 52 counties in Zhejiang Province, China, from 2014 to 2020. The results show that the development of DFI significantly reduces rural–urban and rural income inequality. The development of DFI helps optimize industrial structure and upgrade the internal structure of agriculture, facilitating income growth for people in rural areas. Such effects are greater in poorer counties. Our findings provide insights into why rapid DFI and the narrowing of the rural–urban income disparity exist in China. Moreover, our results provide clear policy implications on how to reduce the disparity. The most compelling suggestion is that promoting the optimization of industrial structure through DFI is crucial for narrowing the urban–rural income gap.

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