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Socioeconomic Impacts of COVID-19 in Kenya on Firms : Rapid Response Phone Survey Round One (English)

The COVID-19 pandemic has severe impacts on the Kenyan economy and society as a whole. This report analyzes the impact of COVID-19 on businesses in Kenya based on a nationally representative Business Pulse Survey implemented by the World Bank between June and August, 2020. The results indicate that about 93 percent of firms experienced a decline of sales compared to the same period of the previous year. Sales dropped by around 50 percent in the average and median Kenyan firms, and by more than 70 percent for one-quarter of firms. Close to 65 percent of firms are experiencing a decline in demand, cash flow, and available finance. Moreover, firms expect sales to continue declining in the coming months. The pandemic is disproportionally affecting small and female-owned businesses. Firms in Kenya are responding to the crisis through the adoption of digital technologies. About 20 percent of firms have received public support, but lack of awareness of public assistance options is still large among those that did not receive any support. Finally, the COVID-19 Business Pulse Survey (COV-BPS) suggests policy response options divided into four areas: access to finance, firm capabilities, access to new markets, and reducing uncertainty. Additional follow-up surveys are being conducted for monitoring the current circumstances and updating the policy recommendations.

Details

  • Author

    Vargas Da Cruz,Marcio Jose, Haynes,Alastair Peter Francis, Torres Coronado,Jesica, Lee,Kyungmin

  • Document Date

    2021/01/01

  • Document Type

    Report

  • Report Number

    156787

  • Volume No

    1

  • Total Volume(s)

    1

  • Country

    Kenya,

  • Region

    Africa East, Africa,

  • Disclosure Date

    2021/02/18

  • Disclosure Status

    Disclosed

  • Doc Name

    Socioeconomic Impacts of COVID-19 in Kenya on Firms : Rapid Response Phone Survey Round One

  • Keywords

    small and medium enterprise; higher level of technology; social work education; short period of time; leave of absence; distribution of uncertainty; access to finance; supply chain management; reduced work; lack of awareness; impact on sales; number of jobs; effect of size; number of workers; information and communication; types of firms; differentiated impact; reallocation of resource; high productivity growth; Junior Professional; social service sector; supply of labor; availability of labor; availability of credit; use of service; Innovation and Entrepreneurship; sale of business; public health measures; female employment; tourism sector; standard deviation; transmission channel; Cash flow; export status; average change; linear regression; other sectors; business administration; tax deferral; Real estate; percent change; digital technology; regression results; female workforce; monetary transfer; Digital Solutions; public support; lower demand; employment growth; sales growth; in work; adjustment measure; new market; reducing uncertainty; payment method; high vulnerability; Cash Transfer; paid worker; digital equipment; retail firms; public policy; missing value; linear prediction; lower rate; mobility pattern; Employment Change; average employment; Food Services; recreational activity; representative sample; low consumption; inefficient firms; export demand; local value; demand shock; supply shock; temporary shock; short-term intervention; loan payment; credit condition; financial shock; personal service; sales development; capacity restriction; sale close; business reporting; retail trade; manufacturing sector; Retail Sector; global estimate; food sector; productivity gain; large mining; wholesale service; marketing activity; substantial variation; digital service; marketing tool; management method; delivery note; technological capability; private fund; response rate; tax relief; firm operation; labor demand; Economic Stimulus; Mobile Wallet; mobile money; nonperforming loan; firm size; infection rate; value chain; transmission mechanism; government regulation; government mandate; liquidity problem; public assistance; longer period; firm survival; Financial Sector; probit regression; social disruption; running cost; employment adjustments; trade sector; smaller number

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Citation

Vargas Da Cruz,Marcio Jose Haynes,Alastair Peter Francis Torres Coronado,Jesica Lee,Kyungmin

Socioeconomic Impacts of COVID-19 in Kenya on Firms : Rapid Response Phone Survey Round One (English). Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/532861613625822308/Socioeconomic-Impacts-of-COVID-19-in-Kenya-on-Firms-Rapid-Response-Phone-Survey-Round-One