Can anybody gives clues on data related to comparing any critical and insightful dimension of performance of sharing economy during pre-pandemic and pandemic periods? Also any insightful analysis of preparedness to cope up pandemic like situations?
You raised an important topic to discuss. I did my best to find appropriate case-studies:
1) Tashiro, S., Choi, S. Labor market outcomes under digital platform business models in the sharing economy: the case of the taxi services industry. Bus Econ (2021). https://doi.org/10.1057/s11369-021-00237-0, Free access:
Article Labor market outcomes under digital platform business models...
2) Bozana Zekan, Ulrich Gunter (2021). Zooming into Airbnb listings of European cities: Further investigation of the sector’s competitiveness, Tourism Economics, Early View, First Published Oct. 7, 2021, Available at: https://journals.sagepub.com/doi/abs/10.1177/13548166211044889?journalCode=teua
3) Karthik, K. A. and Sinha, Manish, The Impact of Physical Distancing on the Sharing Economy, Australasian Accounting, Business and Finance Journal, 15(1), 2021, 22-36. doi:10.14453/ aabfj.v15i1.3 Free access: https://ro.uow.edu.au/cgi/viewcontent.cgi?article=2194&context=aabfj
First of all, I have to ask one thing that this question is to focus the stakeholders in developing countries or developed countries because things are totally different from these two countries context.
The developing countries having more agricultural wage labourers whereas in the developed countries have technical know-how are more.
Whatever the COVID 19 destruction that most of the economic productive activities were totally stopped.
The no money rotation and the failure of the business cycle operations in the given economy.
Even agriculture, livestock production have deteriorated and have drastic decrease in production and output.
The GDP growth has also affected in most of the countries. Both pre-pandemic and pandemic period have serious impact of the COVID 19 pandemic in the country.
The slackness in the business cycle from production upto market that there was no option to expedite process due to the pandemic period.
The income of the household has been decreased that reflected in the purchase power of the people.
I agree with Senapathy Marisennayya explanation and suggestions. In addition, macro-economic secondary data can be analyzed (pre-pandemic and during pandemic). Regarding, coping with COVID-19 Pandemic, government initiative or Ad hoc policies/ special allocation for vulnerable population in developing country settings could be investigated to see any impact of those interventions on the betterment of target population.