Case Study: COVID-19 Flashcards

(9 cards)

1
Q

What theoretical policy interference was COVID-19, and what theory does it apply to?

A

Punctuated Equilibrium Theory (PET) - sudden, volatile change.
This has been applied in “institutionalism”.

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2
Q

What sort of policy challenges did COVID-19 impose?

A

High uncertainty.
Conflict: public health vs economy.
Resource shortages (e.g., PPE, ICU).
Negative Lockdown Effects.
Ensuring Compliance.
Essential Service Continuity.

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3
Q

What problems did Italy face when implementing policy during COVID-19?

A

Institutional complexity (weak central govt vs. strong regions).
Unpreparedness, slow initial response.
Political and expert fragmentation – 15 task forces (450 people).

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4
Q

What measures did Italy take during COVID-19?

A

Red zones, travel bans, social distancing, school closures.
Phased lockdowns → full lockdown.
Regional implementation of testing/tracing.

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5
Q

What policy lesson can be learnt from Italy’s COVID response?

A

Policy style and institutional norms dominate response – “a country can only be what it is” (Capano, 2020).

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6
Q

What issues did the UK Government have when implementing COVID-19 policy?

A

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

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7
Q

What factors explain different outcomes between nations during COVID-19?

A

Psychological (trust, risk perception).
Institutional (state capacity, federalism).
Strategic (speed, ideology).
Higher federalism = slower response.

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8
Q

What problem did COVID-19 tell us about the traditional policy processes?

A

Policy formation is too slow.

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9
Q

What elements from policy-making did COVID-19 require?

A

Faster decision-making.
Constant iteration due to evolving challenges (e.g., new variants).
Flexibility under uncertainty.

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