Assessing the impact of COVID-19 and related interventions on poverty and economic growth in Pakistan: A structural path analysis
This study uses social accounting matrix multipliers and structural path analyses to estimate effects of COVID-19 and related fiscal stimuli on five household groups. The COVID-19 lockdown increased poverty in Pakistan by 15%, which was addressed using a $1.5 billion, digitally implemented Ehsaas Em...
| Main Authors: | , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/131866 |
| _version_ | 1855518099167510528 |
|---|---|
| author | Davies, Stephen Quershi, Tehseen Rana, Abdul Wajid Haider, Zeeshan Raja, Sehrish |
| author_browse | Davies, Stephen Haider, Zeeshan Quershi, Tehseen Raja, Sehrish Rana, Abdul Wajid |
| author_facet | Davies, Stephen Quershi, Tehseen Rana, Abdul Wajid Haider, Zeeshan Raja, Sehrish |
| author_sort | Davies, Stephen |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This study uses social accounting matrix multipliers and structural path analyses to estimate effects of COVID-19 and related fiscal stimuli on five household groups. The COVID-19 lockdown increased poverty in Pakistan by 15%, which was addressed using a $1.5 billion, digitally implemented Ehsaas Emergency Cash (EEC) program that reached 14.8 million poor households. The study's models show that the largest multipliers from Ehsaas program finance were in agriculture, as a 1 Rupee shock adds 0.225 Rupee income to households. About 30% of that gain was estimated to go to poor farm families. In contrast, our models find that construction and trade growth added three times as much income to poor nonfarm and urban households as to farm households. However, those sectors added only one third as much total income as agriculture. From the structural path analysis, the importance of capital assets in generating income was seen, as was the possibility of greater poverty reduction from sectors with proportionally fewer intermediate inputs and more value added. |
| format | Journal Article |
| id | CGSpace131866 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1318662024-11-07T09:48:58Z Assessing the impact of COVID-19 and related interventions on poverty and economic growth in Pakistan: A structural path analysis Davies, Stephen Quershi, Tehseen Rana, Abdul Wajid Haider, Zeeshan Raja, Sehrish coronavirus coronavirus disease coronavirinae covid-19 economic growth households poverty social welfare development This study uses social accounting matrix multipliers and structural path analyses to estimate effects of COVID-19 and related fiscal stimuli on five household groups. The COVID-19 lockdown increased poverty in Pakistan by 15%, which was addressed using a $1.5 billion, digitally implemented Ehsaas Emergency Cash (EEC) program that reached 14.8 million poor households. The study's models show that the largest multipliers from Ehsaas program finance were in agriculture, as a 1 Rupee shock adds 0.225 Rupee income to households. About 30% of that gain was estimated to go to poor farm families. In contrast, our models find that construction and trade growth added three times as much income to poor nonfarm and urban households as to farm households. However, those sectors added only one third as much total income as agriculture. From the structural path analysis, the importance of capital assets in generating income was seen, as was the possibility of greater poverty reduction from sectors with proportionally fewer intermediate inputs and more value added. 2023-12 2023-09-14T20:15:54Z 2023-09-14T20:15:54Z Journal Article https://hdl.handle.net/10568/131866 en Open Access Wiley Davies, Stephen; Quershi, Tehseen; Rana, Abdul Wajid; Haider, Zeeshan; and Raja, Sehrish. 2023. Assessing the impact of COVID-19 and related interventions on poverty and economic growth in Pakistan: A structural path analysis. Applied Economic Perspectives and Policy 45(1): 2017-2033. https://doi.org/10.1002/aepp.13372 |
| spellingShingle | coronavirus coronavirus disease coronavirinae covid-19 economic growth households poverty social welfare development Davies, Stephen Quershi, Tehseen Rana, Abdul Wajid Haider, Zeeshan Raja, Sehrish Assessing the impact of COVID-19 and related interventions on poverty and economic growth in Pakistan: A structural path analysis |
| title | Assessing the impact of COVID-19 and related interventions on poverty and economic growth in Pakistan: A structural path analysis |
| title_full | Assessing the impact of COVID-19 and related interventions on poverty and economic growth in Pakistan: A structural path analysis |
| title_fullStr | Assessing the impact of COVID-19 and related interventions on poverty and economic growth in Pakistan: A structural path analysis |
| title_full_unstemmed | Assessing the impact of COVID-19 and related interventions on poverty and economic growth in Pakistan: A structural path analysis |
| title_short | Assessing the impact of COVID-19 and related interventions on poverty and economic growth in Pakistan: A structural path analysis |
| title_sort | assessing the impact of covid 19 and related interventions on poverty and economic growth in pakistan a structural path analysis |
| topic | coronavirus coronavirus disease coronavirinae covid-19 economic growth households poverty social welfare development |
| url | https://hdl.handle.net/10568/131866 |
| work_keys_str_mv | AT daviesstephen assessingtheimpactofcovid19andrelatedinterventionsonpovertyandeconomicgrowthinpakistanastructuralpathanalysis AT quershitehseen assessingtheimpactofcovid19andrelatedinterventionsonpovertyandeconomicgrowthinpakistanastructuralpathanalysis AT ranaabdulwajid assessingtheimpactofcovid19andrelatedinterventionsonpovertyandeconomicgrowthinpakistanastructuralpathanalysis AT haiderzeeshan assessingtheimpactofcovid19andrelatedinterventionsonpovertyandeconomicgrowthinpakistanastructuralpathanalysis AT rajasehrish assessingtheimpactofcovid19andrelatedinterventionsonpovertyandeconomicgrowthinpakistanastructuralpathanalysis |