3 datasets found
  1. The respondents’ viewpoints about Impact of COVID-19 on SMEs.

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Zhengwei Ma; Yiran Liu; Yida Gao (2023). The respondents’ viewpoints about Impact of COVID-19 on SMEs. [Dataset]. http://doi.org/10.1371/journal.pone.0257036.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Zhengwei Ma; Yiran Liu; Yida Gao
    License

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

    Description

    The respondents’ viewpoints about Impact of COVID-19 on SMEs.

  2. Leading digital coupon categories during COVID-19 pandemic in the U.S. 2020

    • statista.com
    Updated Mar 24, 2025
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    Statista (2025). Leading digital coupon categories during COVID-19 pandemic in the U.S. 2020 [Dataset]. https://www.statista.com/statistics/192125/us-adult-most-searced-retail-coupon-categories-coronavirus/
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    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2020
    Area covered
    United States
    Description

    A May 2020 U.S. shopper survey revealed that household items, restaurants & delivery, and grocery delivery were the most searched for coupon categories. Digital shopping has taken off during the global coronavirus pandemic as people attempt to avoid stores in order to social distance or quarantine. Discounts during online shopping have become even more important during COVID-19 as job losses and product shortages impact day to day life.

  3. R

    G²LM|LIC - Tracking the Value of Time of Informal Sector Workers During and...

    • dataverse.iza.org
    • datasets.iza.org
    zip
    Updated Nov 12, 2023
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    Ashley Whillans; Belal, Saika; Ashley Whillans; Belal, Saika (2023). G²LM|LIC - Tracking the Value of Time of Informal Sector Workers During and Post-Curfew in Nairobi [Dataset]. http://doi.org/10.15185/glmlic.701.1
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    zip(2691072), zip(586597)Available download formats
    Dataset updated
    Nov 12, 2023
    Dataset provided by
    Research Data Center of IZA (IDSC)
    Authors
    Ashley Whillans; Belal, Saika; Ashley Whillans; Belal, Saika
    License

    https://www.iza.org/wc/dataverse/IIL-1.0.pdfhttps://www.iza.org/wc/dataverse/IIL-1.0.pdf

    Time period covered
    Oct 2020 - Jan 2021
    Area covered
    Kenya
    Description

    Poverty entails more than a scarcity of material resources—it also involves a shortage of time. To examine the causal benefits of reducing time poverty, we conducted a longitudinal field experiment over six consecutive weeks in an urban slum in Kenya with a sample of working mothers, a population who is especially likely to experience severe time poverty. Participants received vouchers for services designed to reduce their burden of unpaid labor. We compared the effect of these vouchers against equivalently valued unconditional cash transfers (UCTs) and a neutral control condition. Participants completed a detailed survey. As part of this survey, they provided contact information and then they completed a series of subjective well-being measures from prior research. Specifically, participants answered questions about their overall subjective well-being and their positive and negative emotions. Participants then completed demographic items including their gender, age, marital status, whether they were currently living with their partner, or were the head of the household. They also reported on the highest level of formal education they had completed, the number of children they had living at home, their current childcare status, and they answered a series of income questions including how many people they financially supported, how many people relied on their income. Third, they answered a series of employment questions including whether they currently worked for pay, how many jobs they worked, what kinds of jobs they worked in, how much money they earned per month, how their earnings and employment status had changed during the COVID-19 pandemic, and whether they were currently looking for new employment opportunities and why. Fourth, respondents answered questions about the earnings of their household members and the amount of savings and debt that they had, and how these estimates had changed during the COVID-19 pandemic. Participants also reported how many hours they spent on unpaid labor in the past 7 days, and whether they had experienced any of the negative impacts of COVID-19 for their own health and their concerns with COVID-19 exposure. Participants also reported how valuable they felt their time was on a series of different measures. Lastly, participants reported how much money they expected to earn in the next six months as well as their predictions for their expenses over the next 6 months.

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Zhengwei Ma; Yiran Liu; Yida Gao (2023). The respondents’ viewpoints about Impact of COVID-19 on SMEs. [Dataset]. http://doi.org/10.1371/journal.pone.0257036.t001
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The respondents’ viewpoints about Impact of COVID-19 on SMEs.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Jun 8, 2023
Dataset provided by
PLOShttp://plos.org/
Authors
Zhengwei Ma; Yiran Liu; Yida Gao
License

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

Description

The respondents’ viewpoints about Impact of COVID-19 on SMEs.

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