ORCID Jan.Szambelanczyk@ue.poznan.pl
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(2) ǣͳͲǤʹ͵ͷͶȀǤ͵ǤʹǤͻǤʹͲʹͲ. Ewa Kulińska-Sadłocha* ORCID: 0000-0002-8183-6111 Ewa.Kulińska68@gmail.com. Monika Marcinkowska** ORCID: 0000-0002-3494-9834 monika.marcinkowska@uni.lodz.pl. Jan Szambelańczyk*** ORCID: 0000-0002-4340-5193 Jan.Szambelanczyk@ue.poznan.pl.
(3) Ǧͳͻ. Abstract
(4) ǦͳͻǦ Ǥ ǯϐ ǡ ǡ ǡǡϐ
(5) Ǧͳͻ Ǥ Ǧ ϐ ϐ ϐ ǡǡǦ Ǧ ǡ ǡϐ Ǥ Ǥ ǡ ǡ ϐ Ǧ ϐ
(6) ǦͳͻǤ ϐ ȋǤǤϐ Ȍǡ Ǥ Key words: ǡ ǡ
(7) Ǧͳͻǡϐ ǡ ǡ JEL: ʹͳǡ ʹͺǡ
(8) ͳͷǡͳ ȗ. ÑǦÏ Ȃ Ǥ ȂǤ ȗȗȗ Ñ ȂÑ Ǥ ȗȗ. ͵ͳ.
(9) ʹȋͻȌʹͲʹͲ. . WpÏyw ryzyka pandemii na dziaÏalnoä© banków na przykÏadzie polskiego sektora bankowego w trakcie COVID-19 Streszczenie ä ä
(10) Ǧͳͻ ǤϦ Ǧ ä ϐ¦ǡ Ǧ ǡ×ǡĂ ϐǦ ¦
(11) Ǧͳͻ Ï Ǥ Ï Ï ϐ ×æ ǡǤǤǣ¸× Ăä ǡ Ï × Ăä Ï×ÏĂ Ǥ Ïä Ǥ ¸ Ǧ ¸ä ×Ȃϸ¦Ï¸Ï×ϐǦ צ ä ϐ Ï
(12) ǦͳͻǤäǤǤĀ ×ϐ × ¦ × Ïä ȋǤ ϐǦ Ȍǡ ä ×ä Ǥ SÏowa kluczowe: ǡ ǡ
(13) Ǧͳͻǡ ϐǡ ǡ . Introduction ͵Ͳ ʹͲʹͲǡ ȋ Ȍ ʹͲͳͻǦ ǡ ϐ ʹͲͳͻ ǡ Ǥ
(14) Ǧͳͻͳ ǡ ǡ Ǥ ϐ Ǥ Ǧ ǡ Ǥ ʹͲʹͲ ǡ ǡ Ǧ ǡ ǡǡ Ǥ ϐ ϐ ǡ ǡ Ǥ ͳ.
(15) ʹͲʹͲǡ ǡϐ ʹͲͳͻǦȋ ȌDzǦʹͲͳͻdzǤ. ͵ʹ.
(16) ʹȋͻȌʹͲʹͲ. . ϐ ǡ ϐ Ǥǡ ǡǡ ǡ ǡǡϐǡ ǡ Ǥ
(17) Ǧͳͻ Ǥ Ǧ Ǥ ǡ ǡ Ȃ ȋ ǡ Ȍǡ ȋ ǡ Ȍ ϐ ȋ¦× ǡ ȌǡǤ ʹͲǡʹͲʹͲǡϐ ͵ͳǡʹͲʹͲǤ. 1. The impact of the COVID-19 pandemic on socio-economic systems ǡ ʹǡ ǡ ȋ Dz dzȌǡ ϐ Ǥ ǡ Ǧ ͵Ǥ ϐ ǡ ȀͶǤ. ʹ. Ǥ ǡǤ ǡCzarna ämier© epidemie w Europie od staroĂytnoäci do czasów wspóÏczesnychǡǦ ǡʹͲʹͲǤ ͵ Ǥ Ǥ ǡǤ ǡThe Global Macroeconomic Impacts of COVID-19: Seven Scenariosǡ ͳͻȀʹͲʹͲǡ ʹͲʹͲǡ ǣȀȀǤ ǤȀ Ȁ͵͵ͻͷͺ͵͵̴ ̴ ̴ ̴
(18) ̴̴
(19) Ǧͳͻ̴̴ ȋ ͳǤͲͶǤʹͲʹͲȌǤ Ͷ Ǥ ǡA Look at COVID 19 in terms of 10. EconomicsǡǡͳͳǤͲͶǤʹͲʹͲǡǣȀȀ Ǥ ǤȀ Ȁ͵ͶͲͷͶͲ͵͵̴ ̴̴̴̴
(20) ̴ͳͻ̴̴̴̴ͳͲ̴ Ǧ ̴ʹͲʹͲ̴͵̴ͲͶͲͻʹͲ̴ ȋ ʹǤͲͶǤʹͲʹͲȌǢ Ǥ Ǥ ǡ Ǥ ǡ Global Macroeconomic Consequences of Pandemic Inϔluenzaǡ ǡ ʹͲͲǡ ǣȀȀ Ǥ ǤǤǤȀȀȀϐȀ Ȁ ̴ ̴̴̴ ȀʹͲͳǦͲʹȀʹ̴ ̴̴ʹͲͲǤ ȋ ͳǤͲͶǤʹͲʹͲȌǢ ǤǤ ǡ Ǥ ǡ Severe Acute Respiratory Syndrome (SARS) in Asia: A Medical Geographic Perspectiveǡ Ǧ ʹͲͲͶǡͶͷȋͷȌǡǤ͵ͳȂ͵ʹǤ. ͵͵.
(21) ʹȋͻȌʹͲʹͲ. . ϐ ȋǤǤ Ȍ ǡ ǡ ͷǤ ǡǡ Ǥ ǡ ǡ ǡ Ǥ
(22) Ǧͳͻ ǣ Ȃ ȋ ǡǡ Ȍ ǡ ǡ Ȃ ȋǡǡǡ ǡ ǡ ǤȌǡ Ȃ ȋǤǤǦ ǡ Ǧ Ȍ ǯ ǡ Ȃ ϐ Ȃ ǡ ǡ ϐ ǡ ǡ ǡ Ȃ ϐ ȋǤǤ ǡ Ǧ ǡ ǡ ϐ ǡ Ǧ ǡ Ȍǡ Ȃ Ǧ ǡϐ Ǥ ͷ. ǤǤǡǤǡ ǤǡThe Effect of Health on Economic Growth: Theory and Evidenceǡ Ǥͺͷͺǡ
(23) ʹͲͲͳǡǣȀȀǤǤȀȀͺͷͺǤȋ Ǧ ͳͶǤͲͶǤʹͲʹͲȌǢ ǤǤ ǡ Ǥ ǡ Population Health and Economic Growth. Commission on Growth and DevelopmentǡǡǤʹͶǡǡǣʹͲͲͺǡǣȀȀǦ ǤǤȀȀͳͲͻͺȀʹͺͲ͵ȋ ʹͶǤͲͶǤʹͲʹͲȌǢHealth and Economic Growth, Findings and Policy Implicationsǡ Ǥ×ǦǡǤǡǤȋǤȌǡ
(24) ʹͲͲǢ Macroeconomics and Health: Investing in Health for Economic DevelopmentǤǦ ǡ ʹͲͲͳǡ ǣȀȀǤǤȀȀ ȀȀͳͲͷȀͶʹͶ͵ͷȀͻʹͶͳͷͶͷͷͲǤǢ αͳȋ ͳͲǤͲͶǤʹͲʹͲȌǤ World Bank Group. 2014. The Economic Impact of the 2014 Ebola Epidemic: Short- and Medium-Term Estimates for West Africa. ǡ ǣ ʹͲͳͶǡ ǣȀȀǤǤ ȀȀͳͲͻͺȀʹͲͷͻʹȋ ͳʹǤͲͶǤʹͲʹͲȌǤ Ǥ ǡThe economic impact of COVID-19 (novel coronavirus)ǡǣȀȀʹǤǤ ȀȀ ȀȀ Ȁ
(25) ǦͳͻȀ Ǧ Ǧ
(26) ǦͳͻǤ ȋ ʹͳǤͲ͵ǤʹͲʹͲȌǢ Ǥ ǡ Ǥ ǡ The Economic Impact of COVID-19 in Low- and Middle-Income Countriesǡ ǣȀȀǤ Ǧ ǤȀȀ Ǧ Ǧ
(27) ǦͳͻǦǦǦǦ Ǧ ȋ ʹͲǤͲ͵ǤʹͲʹͲȌǢ Ǥ ǡ Combat The Economic Impact Of COVID-19ǡ ǣȀȀ ǦǤ Ȁ Ȁ ȀʹͲʹͲͲ͵ʹͷȀ Ǧ Ǧ Ǧ
(28) Ǧͳͻȋ ͵ͳǤͲ͵ǤʹͲʹͲȌǤ. ͵Ͷ.
(29) ʹȋͻȌʹͲʹͲ. . ǡ Ǥ ǡ ǡ ȋͳȌǤ ǡϐ ǡ Ǥ
(30) ϐ ϐ ǡ Ǥǡǡ Ǥ Ǥ ǡ ǡ Ǥ ǡ ǡ ǡ ǡ ǡǡ Ǥ ǡ ϐ ǡ Ǥ ǡ ϐ ǡ Ǥ ǡ ǡ ǡ ǡ ϐ ϐ Ǥ Ǧ ǡ Ǥǡ ǡϐ ǡ Ǥ Ǥ ex ante Ȁ ǡ ǡ ǡ Ǥ ǡ
(31) ȋ
(32) ȌͺǤ. ͺ.
(33) Ǧͳͻ Ǧ Ȃ Ǧ
(34) Ǥ Ǥ Ï ǡ Ǥ ǡ Analizy epidemiologiczne w ärodowisku matlab/octaveǡ Ï ͷǡ. ÑʹͲͳͻǡǤͳʹȂͳ͵Ǥ. ͵ͷ.
(35)
(36) Ǧ
(37) Ȁ
(38) .
(39)
(40) Ȁ
(41) .
(42) .
(43) . . n0+e0 . CROSS BORDER EXPANSION n0+e0+K n0 + e0+K+L. EPIDEMIC/PANDEMIC n0 + e0+K+L+P. POST-PANDEMIC RECOVERY. Ǧ Ƭ Ƭ Ƭ. Ǧ. Ȁ ǡ Ǧ Ǧ ǡ Ƭ Ȁ ϐ ǦǦǦǦǦǦǦǦǦǦǦǦǦǦ Ȁ
(44) Ȁ
(45) ǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦ
(46) ǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦǦ Ǧ Ǧ Ǧ Ǣ ǡ Ǣ Ǧ ƬǦ Ƭ Ǧ ǦǦ ǡ ǡ Ǣ Ǣ Ǧ ǦǦ ǡ ǡ ǡ ǡ ǡ ϐ ǡ Ǣ ǡ Ǣ . . .
(47)
(48) . n0. OUTBREAK COUNTRY. SPECIFICATION. Table 1. Periodisation and systematisation of prevention, anti-pandemic and post-pandemic actions or interventions in the process of stabilizing the socio-economic system. ʹȋͻȌʹͲʹͲ . ͵.
(49) Ǧ Ǧ Ǧ ǡ Ǧ Ǧ Ǧ ϐ Ǧ . Ǧ ǡ ȋ ȌǢ Ǧ ǣǡ ǡǡǦ ǡ Ǣ ϐǡǦ ǢǦ ϐ . Ǧ ǡ Ǧ Ǧ ϐ ϐ Ǧ ϐ ǡ ȋǦ ȌǤ. EPIDEMIC/PANDEMIC ϐ Ǣ ǡ ǡ
(50) ǡϐ Ǧ ǡ ǡ Ǣϐ Ǧ ǡ . POST-PANDEMIC RECOVERY. ǣǤ. ǣ ͲȂ ȋ
(51) ǦͳͻʹͲͳͻȌǢ ͲȂ ȋǡǡ ϐ ȋǤǤ
(52) ǦͳͻǣͳȂ͵ȌǢ Ȃ ǡ ǡ ͲǡεͲȋǤǤ
(53) ǦͳͻǣεʹȌǢ Ȃ ǡ ǡεͲȋǤǤ
(54) Ǧͳͻǣ͵ȂȌǢ ȂΪȋǤǤ
(55) Ǧͳͻǣ εͳʹȌǤ. CROSS BORDER SPECIFICATION OUTBREAK COUNTRY EXPANSION Ǧ Ǧ Ǧ ǡ ǡ Ǧ Ǧ ǡ Ǧ ϐ Ǧ Ǥ . Table 1 – continued. ʹȋͻȌʹͲʹͲ . ͵.
(56) . ʹȋͻȌʹͲʹͲ.
(57)
(58) ǦͳͻͻǤ
(59) Ǧͳͻ ǡ ǡ ͳǤ Figure 1. Simulated transmission model of COVID-19. Cases being reported. Timing and width of peak uncertain due to: • Stochasticity in early dynamics • Heterogeneities in contact patterns • Spatial variation • Uncertainty in key epidemiological parameters. Social distancing flattens curve Risk of resurgence following lifting of interventions. Epidemic growth, doubling time 4–7 days 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. Months since transmission established. ǣ ǤǤ ǡ Ǥ ǡ Ǥ ǡ Ǥ ǡ How will country-based mitigation measures inϔluence the course of the COVID-19 epidemic?ǡ ǡ ʹͲʹͲǡǤ͵ͻͷǡ Ǥ ͻ͵ͳȂͻ͵ͷǡ ǣȀȀǤ Ǥ Ȁ ȀǫαͲͳͶͲǦ͵ΨʹͺʹͲΨʹͻ͵ͲͷǦͷ ȏ ʹͲǤͲͶǤʹͲʹͲȐǤ. ͳ Ǥ
(60) ǡ ǡ Ǥϐ ȋǡ ǡ ǡ ȌǤ
(61) ǡ ǣ ǡǡ Ǥ ͻ. ǤǡWhat Will Be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease ScenariosǡǤʹͺǡ ʹͲʹͲǡǣȀȀǤǤȀȀʹͺȋ ͳǤͲͶǤʹͲʹͲȌǢǤǤǡSIR Model for COVID-19 calibrated with existing data and projected for ColombiaǡʹͶǤͲ͵ǤʹͲʹͲǣȀȀǤȀȀʹͲͲ͵Ǥͳͳʹ͵ͲǤȋ ͳǤͲͶǤʹͲʹͲȌǢǤǡEstimation of the ϔinal size of the coronavirus epidemic by the SIR modelǡǡǡ ʹͲʹͲǡ ǣȀȀǤ ǤȀ Ȁ͵͵ͻ͵ͳͳ͵ͺ͵̴̴̴̴ϐ̴ ̴̴̴ ̴ ̴̴̴
(62) ̴ ȋ ͲͷǤͲͷǤʹͲʹͲȌǢ Ǧ ǡ Ǧ ǡǦǡǦ ǡA Time-dependent SIR model for COVID-19 with Undetectable Infected Personsǡ ǣȀȀͳǤǤǤǤȀ̴
(63) ̴̴
(64) ̴̴ ̴
(65) ̴ͳͻǤ ȋ ͳ͵ǤͲͷǤʹͲʹͲȌǤ. ͵ͺ.
(66) ʹȋͻȌʹͲʹͲ. . ǡ ϐ Ǥ Ǥ ǡ ǡ Ǧ Ǥ
(67) ǡ ϐ ǡ ϐ ǡǡǡ Ǥ ǦǤ ǡ Ǧ ǡ Ǥ Ǧ Ǥ Ǧ ǡ ǡ ϐ ǡ ǡ ǡ ǡ ϐ Ǥ ʹͲͳͻǦ ͳͲǡ
(68) Ǧͳͻ Ǧ ǡǯǦ Ǥ ǡ ϐ Ǥ ͳͳǤ ͳǡǯ ϐ Ǥ. ͳͲ.
(69) Ǧͳͻ Ǧȋǡǡǡ ȌǤ
(70) ǡ ǡ ʹͲͳͻǦǤ ʹͲͳͻǦ ǡʹͲΨ͵ǡͳͳ ǡͳͲΨ ͲǤͳΨǤ ͳͳ ǤǡMothballing the economy and the effects on banksǡȏǣȐPandemic Crisis and Financial Stabilityǡ ǤǤ Ƭ ǤǦ Ǥ ȋǤȌǡ
(71) ʹͲʹͲǡ ǣȀȀǤǤ Ȁ͵ȀǤ ǫ ̴α͵Ͳͻ͵Ͳȋ ʹʹǤͲͷǤʹͲʹͲȌǤ. ͵ͻ.
(72) ʹȋͻȌʹͲʹͲ. . 2. Channels of inϐluence of COVID-19 on the banking sector
(73) ǡ ϐ ϐ ͳʹǤ ϐ ǡ ǡ ȋ ǡ ǡ ϐ ǡ ǡ ϐ ȌǤ ǡϐ ϐ ǡ ǡ Ǥ ǡ ϐ
(74) Ǧͳͻ ǡ ȋ Ǯǯ ȌǤ
(75) Ǧͳͻ ǡǡ ȋǤǤ ǡ ǡǡ ȌǡȋǤǤ
(76) ǡ ǡ Ȍǡ Ǥ
(77) Ǧͳͻ ǡ ǡ ͳ͵ǡ ȋʹȌǤ
(78) Ǧͳͻ Ǧ Ǥ ǡ Ǥ
(79) ǡ ϐ ǡ Ǥ Ǥ ǡ ϐ Ǥ
(80) ǡǡǡ Ǥ ͳʹ. ǤǡDo Globalization, Deregulation and Financialization Imply a Convergence of Contemporary Capitalisms?
(81) ǡ ʹͲͳͺ ͓ͲͻǢ Ǥ Ǥ ǡ Ǥ ǡ Financialization of Economǡ ʹͲͳͺǡǤͶͳǢǤ ǡPaÑstwo a ϔinansjalizacjaǤ ʹͲʹͲǡͳȋͺȌǡǤͻȂʹͲǤ ͳ͵ Ǥ ǡ ǡ
(82)
(83) Ǥ ϐ ǡ . ǡ ǡ ǡ Ǥ Prac¸ i opiek¸ nad dzieckiem Ϧczy poÏowa mam.ǣȀȀǤǤ Ȁ ǦȀͷͳͲͷͷȀ ǦǦǦǦ Ǧ ǦǦǦǦǦǦ Ǧȋ ʹͷǤͲͷǤʹͲʹͲȌǤ. ͶͲ.
(84) . ʹȋͻȌʹͲʹͲ. Table 2. The short-term impact of the COVID-19 pandemic on banking activities. Additional expenditure on banking activity. Limited employee availability. . . . . . . Ǧ. .
(85) . . . . . . . . . . Cost savings in banking activity. Ȃ ǡǡ Ȃ Ǥ Ȃ Ǧ
(86) ǡ ǣǤ. ǡ Ǥ ϐ ǡ Ǥ ǡ ϐ ǡ ǡ ǡ ǡ ǡ ϐ Ǧ Ǥ ǡ Ǥǡ ϐ ͳͶ Ǥ ǡ ϐ ǣ ͳͶ. ϐ
(87) ǦͳͻǤ Ǧ ǡǦ ϐǡ . Ͷͳ.
(88) ʹȋͻȌʹͲʹͲ. . Ȃ ϐ ǡ Ǧ ǡ Ȃ ǡǦ ǡ ǡ ͳͷǡ ȋǤǤ ǡǡȌǡ Ǧ ȋǤǤǡ ǡȌͳǡ Ȃ ϐ Ȃ ȋǤǤ ǡ Ǧ ǡ Ȍǡ Ȃ Ǧ ǡ Ȃ ϐ ϐǦ ǡ ǡ ϐ ǡ ǡ ǡ Ȁ ȋȌǤ
(89) ǡϐ ǡǤǡ ǡ Ǧ ϐ Ǧ ǡ Ǥ. 3. The general situation of the Polish banking sector and instruments for cushioning the effects of the pandemic
(90)
(91) Ǧͳͻ ǡ ǡ ϐ ϐ ǯǡ ϐ Ǧ ͳǤ ȋͳͻ ʹ͵ ƬͷͲͲ
(92) ͵ΨȌǤ Ȁ ȀǤ ͳͷ ǡ ǡ Ǥ Ǥ ͳ
(93) ǯ ʹͳΨȋ ͳͳͻ ʹͲʹͲͻ͵ ʹͲʹͲȌǤ ͳ
(94) ʹͲͳͻǡ ȋ Ȍ Ǧ ͻ͵Ȁͳ͵ Ǥ ǡ Ǥ ǡ . Ͷʹ.
(95) . ʹȋͻȌʹͲʹͲ. ʹͲʹͲǡ ǡͷͻͺ ǡ ǣ ͵Ͳ ǡ ͷ͵ͷ ȋϐ Ȍͳͺ͵͵ ȋ ȌǤ ͳͷǡͲͲͲ ͳʹǡʹͲͲ ϐ ȋ ǡ ǡ ǡ ϐ ȌǤͶͲΨ ǯͺǦ ȋ ʹȌǤ Figure 2. Structure of the banking sector in Poland by asset value [as at 29 February 2020] By origin of the capital Polish private capital 13.3%. By bank structure Cooperative banks 7.3%. Branches of foreign credit institutions 3.5%. Foreign capital 46.3%. State Treasury 40.4%. Commercial banks 89.2%. ǣ ʹͻ ʹͲʹͲǡ ǡǣȀȀǤǤǤȀǫǦ
(96) αͷʹʹͶƬ̴αͳͺȋ ͳ͵ǤͲͷǤʹͲʹͲȌǤ. ǡ ǡ Ȃ ʹͲͳͻ ʹǤͻȋ Ȍǡ͵ͶͺǡͲͶͶ ȋ ȌǤ ʹͲͳͻǡ ϐͳͶǡʹ͵ͲǤͳͻ ͳͷȋͶ ͳͷ ȌǤϐ ʹͲʹͲͷͺǤͺΨ ʹͲͳͻǤǡ Ͷ ǡȋͳͺͶȌǤ Ǥ ǡ Ǧ Ǥ
(97) ǡ ǡ ǡ ͲǤ ͳͺ
(98) ǡ ǣǤΨǡǤͳͲΨǡΨǡ Ǧϐ ǤͳͲΨǤ ȋʹͻΨ ǡʹͳΨ ȌǤǡ͵ʹΨͶͲΨ ǡͷͺΨǤ. Ͷ͵.
(99) ʹȋͻȌʹͲʹͲ. . ϐ ʹͲʹͲ ͳǤͻǡǤͻǤ ǡǦ ʹͲͳͻǡ Ǧ Ǥ ϐ ǡ ʹͲʹͲ ϐ ǣ ǡ ǡϐ ǡ ϐǤǡ Ǥ ǡ Ǥ Ǧ Ǥ
(100) ǡ ϐ
(101) Ǧͳͻ Ͷ ʹͲʹͲǡ ǡ ǡ ǡ ǡ ǡ ǡ ǡ ǡ Ǥ ϐǤ ǡ Ǧ Ȃ
(102) ʹͲ ͳ͵Ǥ͵Ψǡ
(103) ͳʹǤΨͳͻǤ
(104) ǡ Ǥ ǡ ϐ Ǥ ʹ͵Ψ Ǧ ȋ ͵ȌǤ ǡ ǯ Ǥ
(105) ǡǡ Ǥ ǡʹͲǤ ͳͻ.
(106)
(107) Ȃ
(108) ͳͻͻͳ Ǥ
(109) ʹͲ ʹͲ Ǥ ʹͲ Ǧǡ Ǧ ǯ ϐ ǤPolacy wystraszyli si¸ plotek o niewypÏacalnoäci bankówǡǣȀȀǤǤȀǦ Ȁ ǦǦǦǦǦ ǦǦǦǦǦǦͷͳǦǦ ǦǦǦ ǦͷͳͷʹͷͳͲʹͻͺͻǤȋ ͵ͳǤͲͷǤʹͲʹͲȌǤ. ͶͶ.
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The questionnaire was divided into 3 parts – the first one included inquiries about respondents’ characteristics and the attitude to telemedicine, the second one covered the level
Seven European countries belonging to the European Network of Transmission System Operators for Gas (ENTSOG) were selected, for which the hi- ghest inland consumption of natural gas
We study the impact of six different WHO announcements regarding COVID-19 on five different sectors (Pharma, Healthcare, Information Technology, Hotel & Airline) based on
The analysis of ten major stock markets world- wide shows that the effects of COVID-19 can gener- ate similar damage to the Crisis 1929 ( = 0.23).. It will require a
By using de- scriptive analysis, this study shows that the major economic variables, such as economic growth, global trade, health sector, unemployment and underemployment,
owner’s individual rights to the sphere related to the protection of public interest and spatial