Measuring the Economic Impact of COVID-19 with Real-Time Electricity Indicators:
The COVID-19 pandemic is posing unprecedented challenges, making it difficult for policy makers to design appropriate policies. In this context, real-time information can play a most valuable role for policy makers in developing countries, particularly since official economic indicators, such as the...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Washington, D.C
The World Bank
2021
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | The COVID-19 pandemic is posing unprecedented challenges, making it difficult for policy makers to design appropriate policies. In this context, real-time information can play a most valuable role for policy makers in developing countries, particularly since official economic indicators, such as the evolution of GDP and unemployment, not only are released with considerable delays, but also are not always fully reliable. This paper follows the literature by using the dependent variable electricity consumption per capita as a proxy measure of economic activity in the short run. Based on this method, it examines the short-run economic impact of the pandemic itself, as well as the public health restrictions that were adopted to control the outbreak and the macro-economic measures applied to revive the economy. The analysis confirms the significant cost of lockdown measures in terms of reduction in economic activity but finds that the spread of the disease itself had an economic impact distinct from that of the lockdown measures. The analysis shows that the use of expansionary fiscal and monetary policies also played a key role in mitigating such an impact, driving some initial recovery. Finally, the evidence points to a complete structural break in economic activity at the onset of the lockdown period |
| Beschreibung: | 1 Online-Ressource (32 Seiten) |
| DOI: | 10.1596/1813-9450-9806 |
Internformat
MARC
| LEADER | 00000nmm a22000001c 4500 | ||
|---|---|---|---|
| 001 | BV049080886 | ||
| 003 | DE-604 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 230731s2021 xxu|||| o||u| ||||||eng d | ||
| 024 | 7 | |a 10.1596/1813-9450-9806 |2 doi | |
| 035 | |a (ZDB-1-WBA)072747269 | ||
| 035 | |a (OCoLC)1392142582 | ||
| 035 | |a (DE-599)KEP072747269 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxu |c XD-US | ||
| 049 | |a DE-12 |a DE-521 |a DE-573 |a DE-523 |a DE-Re13 |a DE-19 |a DE-355 |a DE-703 |a DE-91 |a DE-706 |a DE-29 |a DE-M347 |a DE-473 |a DE-824 |a DE-20 |a DE-739 |a DE-1043 |a DE-863 |a DE-862 | ||
| 100 | 1 | |a Vagliasindi, Maria |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Measuring the Economic Impact of COVID-19 with Real-Time Electricity Indicators |c Maria Vagliasindi |
| 264 | 1 | |a Washington, D.C |b The World Bank |c 2021 | |
| 300 | |a 1 Online-Ressource (32 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 520 | 3 | |a The COVID-19 pandemic is posing unprecedented challenges, making it difficult for policy makers to design appropriate policies. In this context, real-time information can play a most valuable role for policy makers in developing countries, particularly since official economic indicators, such as the evolution of GDP and unemployment, not only are released with considerable delays, but also are not always fully reliable. This paper follows the literature by using the dependent variable electricity consumption per capita as a proxy measure of economic activity in the short run. Based on this method, it examines the short-run economic impact of the pandemic itself, as well as the public health restrictions that were adopted to control the outbreak and the macro-economic measures applied to revive the economy. The analysis confirms the significant cost of lockdown measures in terms of reduction in economic activity but finds that the spread of the disease itself had an economic impact distinct from that of the lockdown measures. The analysis shows that the use of expansionary fiscal and monetary policies also played a key role in mitigating such an impact, driving some initial recovery. Finally, the evidence points to a complete structural break in economic activity at the onset of the lockdown period | |
| 650 | 4 | |a Business Cycles and Stabilization Policies | |
| 650 | 4 | |a Coronavirus | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a Disease Control and Prevention | |
| 650 | 4 | |a Electric Power | |
| 650 | 4 | |a Electricity | |
| 650 | 4 | |a Electricity Demand | |
| 650 | 4 | |a Energy | |
| 650 | 4 | |a Energy Consumption | |
| 650 | 4 | |a Energy Demand | |
| 650 | 4 | |a Health, Nutrition and Population | |
| 650 | 4 | |a Macroeconomics and Economic Growth | |
| 650 | 4 | |a Pandemic Impact | |
| 650 | 4 | |a Power Sector | |
| 856 | 4 | 0 | |u https://doi.org/10.1596/1813-9450-9806 |x Verlag |z kostenfrei |3 Volltext |
| 912 | |a ZDB-1-WBA | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034342776 | |
Datensatz im Suchindex
| _version_ | 1812671843247587328 |
|---|---|
| adam_text | |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Vagliasindi, Maria |
| author_facet | Vagliasindi, Maria |
| author_role | aut |
| author_sort | Vagliasindi, Maria |
| author_variant | m v mv |
| building | Verbundindex |
| bvnumber | BV049080886 |
| collection | ZDB-1-WBA |
| ctrlnum | (ZDB-1-WBA)072747269 (OCoLC)1392142582 (DE-599)KEP072747269 |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| doi_str_mv | 10.1596/1813-9450-9806 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nmm a22000001c 4500</leader><controlfield tag="001">BV049080886</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">230731s2021 xxu|||| o||u| ||||||eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1596/1813-9450-9806</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-1-WBA)072747269</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1392142582</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP072747269</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">XD-US</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-12</subfield><subfield code="a">DE-521</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-Re13</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Vagliasindi, Maria</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Measuring the Economic Impact of COVID-19 with Real-Time Electricity Indicators</subfield><subfield code="c">Maria Vagliasindi</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Washington, D.C</subfield><subfield code="b">The World Bank</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (32 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">The COVID-19 pandemic is posing unprecedented challenges, making it difficult for policy makers to design appropriate policies. In this context, real-time information can play a most valuable role for policy makers in developing countries, particularly since official economic indicators, such as the evolution of GDP and unemployment, not only are released with considerable delays, but also are not always fully reliable. This paper follows the literature by using the dependent variable electricity consumption per capita as a proxy measure of economic activity in the short run. Based on this method, it examines the short-run economic impact of the pandemic itself, as well as the public health restrictions that were adopted to control the outbreak and the macro-economic measures applied to revive the economy. The analysis confirms the significant cost of lockdown measures in terms of reduction in economic activity but finds that the spread of the disease itself had an economic impact distinct from that of the lockdown measures. The analysis shows that the use of expansionary fiscal and monetary policies also played a key role in mitigating such an impact, driving some initial recovery. Finally, the evidence points to a complete structural break in economic activity at the onset of the lockdown period</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Business Cycles and Stabilization Policies</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Coronavirus</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COVID-19</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Disease Control and Prevention</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electric Power</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electricity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electricity Demand</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Energy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Energy Consumption</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Energy Demand</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Health, Nutrition and Population</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Macroeconomics and Economic Growth</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pandemic Impact</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Power Sector</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1596/1813-9450-9806</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-WBA</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034342776</subfield></datafield></record></collection> |
| id | DE-604.BV049080886 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:27:58Z |
| indexdate | 2024-10-12T04:03:00Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034342776 |
| oclc_num | 1392142582 |
| open_access_boolean | 1 |
| owner | DE-12 DE-521 DE-573 DE-523 DE-Re13 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-91 DE-BY-TUM DE-706 DE-29 DE-M347 DE-473 DE-BY-UBG DE-824 DE-20 DE-739 DE-1043 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
| owner_facet | DE-12 DE-521 DE-573 DE-523 DE-Re13 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-91 DE-BY-TUM DE-706 DE-29 DE-M347 DE-473 DE-BY-UBG DE-824 DE-20 DE-739 DE-1043 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
| physical | 1 Online-Ressource (32 Seiten) |
| psigel | ZDB-1-WBA |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | The World Bank |
| record_format | marc |
| spellingShingle | Vagliasindi, Maria Measuring the Economic Impact of COVID-19 with Real-Time Electricity Indicators Business Cycles and Stabilization Policies Coronavirus COVID-19 Disease Control and Prevention Electric Power Electricity Electricity Demand Energy Energy Consumption Energy Demand Health, Nutrition and Population Macroeconomics and Economic Growth Pandemic Impact Power Sector |
| title | Measuring the Economic Impact of COVID-19 with Real-Time Electricity Indicators |
| title_auth | Measuring the Economic Impact of COVID-19 with Real-Time Electricity Indicators |
| title_exact_search | Measuring the Economic Impact of COVID-19 with Real-Time Electricity Indicators |
| title_exact_search_txtP | Measuring the Economic Impact of COVID-19 with Real-Time Electricity Indicators |
| title_full | Measuring the Economic Impact of COVID-19 with Real-Time Electricity Indicators Maria Vagliasindi |
| title_fullStr | Measuring the Economic Impact of COVID-19 with Real-Time Electricity Indicators Maria Vagliasindi |
| title_full_unstemmed | Measuring the Economic Impact of COVID-19 with Real-Time Electricity Indicators Maria Vagliasindi |
| title_short | Measuring the Economic Impact of COVID-19 with Real-Time Electricity Indicators |
| title_sort | measuring the economic impact of covid 19 with real time electricity indicators |
| topic | Business Cycles and Stabilization Policies Coronavirus COVID-19 Disease Control and Prevention Electric Power Electricity Electricity Demand Energy Energy Consumption Energy Demand Health, Nutrition and Population Macroeconomics and Economic Growth Pandemic Impact Power Sector |
| topic_facet | Business Cycles and Stabilization Policies Coronavirus COVID-19 Disease Control and Prevention Electric Power Electricity Electricity Demand Energy Energy Consumption Energy Demand Health, Nutrition and Population Macroeconomics and Economic Growth Pandemic Impact Power Sector |
| url | https://doi.org/10.1596/1813-9450-9806 |
| work_keys_str_mv | AT vagliasindimaria measuringtheeconomicimpactofcovid19withrealtimeelectricityindicators |