Socioeconomic Impact Of The Covid-19 Pandemic And Of The Response Policy In Moldova: An Intergenerational Perspective Based On The Computable General Equilibrium Model
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DOI: 10.36004/nier.es.2021.2-01
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General Computable Equilibrium model; Social Accounting Matrix; macroeconomic policy; policy response; inter-generational transfers; National Transfer Accounts.Àâòîð èñïîëüçóåò ïðèêëàäíóþ ìîäåëü îáùåãî ðàâíîâåñèÿ (ÏÌÎÐ); êàëèáðîâàííóþ íà îñíîâå ìàòðèöû ñîöèàëüíîãî ó÷åòà äëÿ ýêîíîìèêè Ìîëäîâû è äîïîëíåííóþ äåìîãðàôè÷åñêèìè äàííûìè; ÷òîáû îòâåòèòü íà òðè âîïðîñà: 1) êàêîâî áûëî êðàòêîñðî÷íîå ñîöèàëüíî-ýêîíîìè÷åñêîå âîçäåéñòâèå COVID-19 ñ òî÷êè çðåíèÿ ïîëà è âîçðàñòà? 2) íàñêîëüêî âåðîÿòíî; ÷òî ìåðû ïîëèòèêè 2020 ãîäà îáåñïå÷àò àäåêâàòíûé îòâåò íà êðèçèñ? è 3) ñóùåñòâóåò ëè ëó÷øàÿ àëüòåðíàòèâíàÿ ïîëèòèêà? Ìîäåëü ïðåäñêàçûâàåò; ÷òî ñîâîêóïíûé ýôôåêò ýêîíîìè÷åñêèõ ïîòðÿñåíèé; âûçâàííûõ COVID-19; ñîñòàâëÿåò îêîëî 11% ÂÂÏ è ÷òî ñïàä áóäåò âî âñåõ ñåêòîðàõ; íàèáîëåå çàòðîíóòûìè èç êîòîðûõ áóäóò òðàíñïîðò; HORECA (ãîñòèíèöû; ðåñòîðàíû è êàôå) è ñåêòîð óñëóãïðåäîñòàâëÿåìûå íàñåëåíèþ.  òðàíñïîðòíîì ñåêòîðå â îñíîâíîì çàíÿòû ìóæ÷èíû ñðåäíåãî âîçðàñòà; à â äâóõ äðóãèõ -ãëàâíûì îáðàçîì æåíùèí. Âîçðàñòíàÿ è ïîëîâàÿ ñòðóêòóðà çàíÿòîñòè ïî ñåêòîðàì îáúÿñíÿåò; ïî÷åìó ìóæ÷èíû â âîçðàñòå 25-34 ëåò è æåíùèíû â âîçðàñòå 15-24 ëåò ñòðàäàþò îò íàèáîëüøåãî ñíèæåíèÿ çàðàáîòíîé ïëàòû (10%). Îòðàæàÿ ñíèæåíèå äîõîäîâ ýêîíîìè÷åñêè àêòèâíûõ êàòåãîðèé è ñîêðàùåíèå òðàíñôåðòîâ âíóòðè äîìîõîçÿéñòâ; ïîòðåáëåíèå äåòåé ñîîòâåòñòâåííî ñíèæàåòñÿ. Ñòàðøèå ïîêîëåíèÿ; êîòîðûå çàâèñÿò îò ãîñóäàðñòâåííûõ ïåíñèé; îòíîñèòåëüíî ëó÷øå çàùèùåíû îò ñîöèàëüíî-ýêîíîìè÷åñêèõ ïîñëåäñòâèé COVID-19; ïîñêîëüêó ïåíñèè îñòàþòñÿ ñòàáèëüíûìè. Àíàëèç ïîêàçûâàåò; ÷òî ìåðû; ïðèíÿòûå Ïðàâèòåëüñòâîì; îêàçàëè íåçíà÷èòåëüíîå âëèÿíèå; à ñíèæåíèå ÍÄÑ äëÿ ñåêòîðà HORECA èìåëî ìåíüøèé êîìïåíñèðóþùèé ýôôåêò ïî ñðàâíåíèþ ñ ïðÿìûìè âûïëàòàìè èíôèöèðîâàííûì âðà÷àì è ñóáñèäèðîâàíèåì çàíÿòîñòè. Ñî÷åòàíèå ôèñêàëüíûõ è ñòðóêòóðíûõ ìåð îáåñïå÷èëî áû áîëåå ñïðàâåäëèâûé â ñîöèàëüíîì è ýêîíîìè÷åñêîì îòíîøåíèè áîëåå ýôôåêòèâíûé îòâåò íà êðèçèñ.Êëþ÷åâûå ñëîâà: Ïðèêëàäíàÿ ìîäåëü îáùåãî ðàâíîâåñèÿ; Ìàòðèöà ñîöèàëüíîãî ó÷åòà; ìàêðîýêîíîìè÷åñêàÿ ïîëèòèêà; îòâåòíûå ìåðû ïîëèòèêè; ìåæïîêîëåí÷åñêèå òðàíñôåðòû; íàöèîíàëüíûå òðàíñôåðíûå ñ÷åòà.INTRODUCTION The COVID-19 pandemic engendered asystemic impact on the Moldovan economy. Domestic administrative restrictions and external shocks undermined the economic activities and boiled the economic system down. Due do the multifaceted and often opposing changes shocks involved; a net assessment of COVID-19 should account for general equilibrium effects. Computable General Equilibrium (CGE) models are particularly useful for undertaking such system-wide analyses. They consistently account for all changes in prices and quantities that shocks trigger in all markets. COVID-19 may have also involved significant distributional effects; as the crisis did not equally hit all economic sectors and; implicitly; all generations. It is thus of practical policy importance to understand which economic sectors and social groups may have been hit particularly hard by the crisis and to assess if the immediate policy measures offered a meaningful response to the crisis. If not; what combination of policy tools would have suited this purpose better? To address these questions; we employ a CGE model calibrated on a Moldovan Social Accounting Matrix augmented with demographic details.;All these keywords.
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