Case Study: COVID-19 Flashcards
(9 cards)
What theoretical policy interference was COVID-19, and what theory does it apply to?
Punctuated Equilibrium Theory (PET) - sudden, volatile change.
This has been applied in “institutionalism”.
What sort of policy challenges did COVID-19 impose?
High uncertainty.
Conflict: public health vs economy.
Resource shortages (e.g., PPE, ICU).
Negative Lockdown Effects.
Ensuring Compliance.
Essential Service Continuity.
What problems did Italy face when implementing policy during COVID-19?
Institutional complexity (weak central govt vs. strong regions).
Unpreparedness, slow initial response.
Political and expert fragmentation – 15 task forces (450 people).
What measures did Italy take during COVID-19?
Red zones, travel bans, social distancing, school closures.
Phased lockdowns → full lockdown.
Regional implementation of testing/tracing.
What policy lesson can be learnt from Italy’s COVID response?
Policy style and institutional norms dominate response – “a country can only be what it is” (Capano, 2020).
What issues did the UK Government have when implementing COVID-19 policy?
Assumed preparedness (for flu), but was unprepared.
Complacency, delayed lockdown, poor leadership.
Populism undermined expert advice.
The Behavioral Insights Team advised on public communication.
Abandoned test/trace early.
Furlough scheme; huge spending (£261bn), fraud/losses.
Poor care home response.
Proliferation of expert bodies (SAGE, SPI-M, etc.), but advice is inconsistently followed.
Devolved govts pursued differing strategies
What factors explain different outcomes between nations during COVID-19?
Psychological (trust, risk perception).
Institutional (state capacity, federalism).
Strategic (speed, ideology).
Higher federalism = slower response.
What problem did COVID-19 tell us about the traditional policy processes?
Policy formation is too slow.
What elements from policy-making did COVID-19 require?
Faster decision-making.
Constant iteration due to evolving challenges (e.g., new variants).
Flexibility under uncertainty.