Many governments are concerned about how to stimulate economic activity once the COVID-19 health crisis is in a manageable state.
This blog examines New Zealand’s unique stimulus approach, which focuses on “shovel-ready” infrastructure. This approach promises to stimulate economic activity while minimizing risks of wasteful spending. The New Zealand approach could inform how governments and multilateral development banks (MDB) approach financial stimulus support in developing countries.
Infrastructure spending is a safe stimulus option to overcome the unprecedented demand shock.
The world will be able to get back to
work once the pandemic spread slows, probably later this year. It will be
essential to get people back to work quickly and stimulate economic activity. Furthermore,
the infrastructure spending could make the post-crisis world more resilient.
Sound infrastructure underpins all
economic activity and, in most countries, infrastructure constraints are
usually well-understood by both the government and the private sector. Therefore,
with appropriate controls in place, the chances that a government-supported
infrastructure project will fail to stimulate economic activity, or be wasteful
in the long term, are lower than for a non-infrastructure project.
New Zealand’s “shovel-ready” approach is interesting.
New Zealand has an interesting and
potentially replicable idea for fiscal stimulus. The government has announced a
plan to increase infrastructure spending quickly once the pandemic restrictions
end. What is special about the New Zealand approach is that the government has
announced the plan now, even though it may be months before it can be
The government has called for information about “shovel-ready” projects. These are infrastructure projects that can commence in the next six to 12 months. The deadline for submitting information is 14 April 2020.
By announcing and kicking off this plan
now, in the midst of the pandemic restrictions, the government is providing a
clear signal of its intentions, and some certainty to the infrastructure sector
about which projects might be under consideration for fiscal support.
The New Zealand plan rapidly identifies
potential infrastructure projects that can be commenced soon. This increases
the likelihood that the positive economic impact of infrastructure project
development occurs during the period that demand is suppressed and people are
out of work. The plan also provides government support at a time when economic
activity in the private sector is likely to be low, thus reducing potential
“crowding out” of private spending.
New Zealand’s criteria and process for “shovel-ready” infrastructure projects.
New Zealand has appointed a reference
group of infrastructure experts and senior officials to receive information
about potential projects. The group will further develop criteria to evaluate
projects for the Government to consider.
At this initial stage, in addition to the
time-driven “shovel-ready” requirement, the following high-level criteria will
Demonstrated positive direct and indirect employment effects
Demonstrated social, environmental and economic benefits, with
emphasis on the New Zealand Treasury’s Living Standards Framework and the UN’s
Sustainable Development Goals.
Project developers must also outline how
COVID-19 has affected the project and how COVID-19 presents risks to on-time
construction and completion to specifications. Project developers are also
asked to outline specifically how Government could support their project. This
Expedited regulatory approvals (for example, environmental permits
or planning permissions)
Regulatory or law changes to enable infrastructure (for example, fast-tracking
foreign investor rules)
Other government support (for example, commitments by government to
use the infrastructure or purchase services).
The full criteria and process for
evaluating projects will be developed in the coming weeks. New Zealand has
well-developed infrastructure evaluation frameworks for public capital
investment (Better Business Case framework, overseen by the Treasury). We
expect further information on a robust evaluation process to emerge soon.
Developing countries can develop a “stimulus tool kit” borrowing from New Zealand’s “shovel-ready” approach.
There are some lessons from the New
Zealand approach that developing countries and MDBs could apply. Developing
countries are likely to be fiscally stretched, and therefore infrastructure
stimulus might be financed by MDBs and other donors.
Many countries will want MDB support.
MDBs should consider developing a “post-COVID infrastructure stimulus toolkit”,
which any interested country could adopt.
The toolkits should be rolled out as soon as possible. This will allow countries to identify projects and get them shovel ready now. An information-gathering exercise, such as the New Zealand “shovel-ready” approach, can be done quickly. The sooner MDBs begin to think about criteria for infrastructure finance, the faster infrastructure developers and investors can respond with projects that can deliver immediate economic and longer-term resilience benefits.
Key features, which can be rapidly
Ensuring a project evaluation body is appropriately qualified and suitably independent
Identification of the key results sought from projects, such as jobs, environmental sustainability, social inclusiveness, and resilient infrastructure
Mechanisms to determine project timeframes and risks to meeting timeframes.
Some precedents already exist for rapid disbursement methodologies. These could be applied for post-COVID infrastructure. P4R (Pay for Results) could be incorporated. A P4R loan, for example, could disburse X amount per km of road built to the required standard, which would be much quicker than normal MDB processes.
Even so, provisions to ensure that the projects funded are ones that are needed, would be important—here the New Zealand “shovel-ready” criteria could be considered as a base. Proper construction supervision would need to be ensured also.
https://castalia-advisors.com/wp-content/uploads/2020/04/virus-4970581_1920.jpg12001920Site Adminhttps://castalia-advisors.com/wp-content/uploads/2019/03/castalia-logo-white_transp.pngSite Admin2020-04-09 20:48:562020-04-10 02:34:09New Zealand’s “shovel-ready” approach to infrastructure-led stimulus could benefit developing countries
As countries around the world are agonizing about how tough the forced closures and lock-downs should be and how long they should last, it may seem premature to think about what the world economy will look like after the end of the pandemic (most likely, after an effective vaccine is generally available in the next year to 18 months). However, many decisions made by investors and governments in the period before a global all-clear is sounded will involve the creation of institutions, business models and assets that will last well into the future. To ensure that we get best value from the decisions whose effects will last well beyond the pandemic, we have no option but to start forming a view on the structural changes that will stay with us after the pandemic is over. Of course, anyone who tries to do that will get lots of things wrong, but rigorous analysis can help reduce the magnitude of that error and help us figure out what signs we need to watch.
Much is already being written about the likely “hangover” from the current emergency fiscal and monetary measures being implemented by many countries. There is no doubt it will take the world a long time to dig itself out from the mountain of debt that is being created. However, that has been done before, including the recovery from the debt to finance World War II. Some analysts have pointed out that the current economic shock resulting from the health measures to control the pandemic differs from previous economic crises, such as the Great Depression; it is not only a demand shock due to people losing income but also a supply shock due to governments deliberately suppressing some economic activities. However, that again is similar to the experience of major wars, where civilian economy suffers a supply shock both from the diversion of resources to military production and, in some countries, from physical destruction.
In other words, from the macroeconomic
point of view, while the recovery will be hard, the script for such a recovery
is reasonably well understood. Some countries will do better than others, the
speed is hard to predict, but we would argue that the general trajectory of the
macroeconomic recovery is already reasonably well understood.
It is much harder to predict the microeconomic shape of the recovery. How will various individual markets adjust? Will people rush back to social activities—such as restaurants, bars and mass tourism—restrained only by the available incomes? Or will people’s habits fundamentally change as a result of the lock-downs? In other words, is the future of investments, such as airports and airlines and commercial real estate, simply a function of the rate of macroeconomic recovery or will something more fundamental happen?
In this article, we want to focus on one
likely permanent or at least very long-lasting change in preferences: the increase
in the value governments and businesses place on the resilience and reliability
of their supply chains. The pandemic crisis has sharply focused attention on
the particular way that global markets have evolved in the past 20 or so years:
The emphasis on minimizing cost and just-in-time supply means that, in general, stores of goods are low, and the supply chain from producers to consumers is optimized to meet steady demand. When there is a shock, it takes a long time for the supply chain to adapt and respond. Toilet paper ran out in the supermarkets not because the world does not have enough toilet paper, but because it takes time to change production and delivery schedules and to shift equipment and personnel to respond
The realization that supply chains pass through multiple borders, both national and regional. While during normal times that is not a problem as long as international treaties and domestic arrangements take care of tax and customs issues, it is striking to see how quickly origin of supply becomes critical when countries and regions respond to crisis conditions by looking after their own first
Single source dependence. It has become increasingly obvious that China’s growth as a low-cost supplier has been the story of global concentration of the supply chain on China as a source. It is unlikely that such concentration will be tolerated in the future. For example, The New York Times has reported an effort by the US to limit its reliance on the import of medicines from China. There is no doubt such efforts would have been spurred by the discussion in the Chinese media of possible export bans and the effects of such bans on the US.
The trend to re-shoring and the shift of focus to resilience were already emerging. The COVID-19 crisis will put it on steroids. In addition, it seems likely that we will see the return to the political dimension in trade. In many ways, the last 15 to 20 years have been a historical anomaly: trade relations have become largely divorced from political and security considerations. Countries which could be considered rivals from the perspective of nation state interests nonetheless become increasingly interdependent in the supply of goods and services.
This time was already coming to an end as countries were beginning to recast their national security debates in terms of supply vulnerabilities. COVID-19 will accelerate this trend.
So, can we speculate on what the
post-crisis supply chains may look like, as countries and companies balance
considerations of resilience and cost?
We think a number of trends are likely to
Companies and countries will seek to diversify their supply sources
and carry higher stocks to achieve resilience
Supply chains will increasingly follow political alliances. That is,
there will still be an incentive to find the cheapest source of supply, but
such sources will increasingly need to be within countries that are bound
together by something other than trade deals. Common security interests and
cultural affinities will likely play a much greater role in the structure of
the supply chains
Procurement strategies, while not necessarily explicitly moving to
“buy local” preferences will emphasise capability to provide rapid response and
security of supply.
Such trends will have important
implications for the infrastructure sector. Careful and detailed analysis would
be required for each infrastructure asset, but here are some initial thoughts
on possible effects:
The recent trend towards ever larger container ships has been driven
by the concentration in the flow of goods along a single “belt and road” from
China. If supply chains diversify, such super large container ships may go the
way of A380 aircraft—there will be renewed demand for vessels that can provide
point to point connections across multiple supply chains. This will have
implications for port expansion and dredging projects around the word intended
to accommodate the ever-larger vessels
If companies and governments carry larger stocks for reliability and
security reasons, the premium for timeliness and reliability in the
transportation parts of the supply chains may reduce. Ports and shipping lines
may find new ways to manage their costs
Larger stocks and more diversified production will have important
implications for the demand for warehousing and light industrial real estate in
Castalia will be carefully watching the emerging structural effects of the COVID-19 crisis and helping our clients navigate the risks and opportunities.
As the costs of regulatory responses to COVID 19 mount, we have developed a framework analyzing which measures governments should adopt, when, and for how long.
How do we plan the next phase of the fight against COVID 19?
As New Zealand begins its second week of lockdown, with only essential services operating, some difficult questions are emerging. The economic pain is mounting, the social impact is enormous, we need to get out of this situation as quickly as we can. How do we know which restrictions to relax first and when? Can we remove the most stringent restrictions a week early? In this thought piece we seek to develop a rigorous method to chart a path out of lockdown.
In case you’ve been living in a bubble for the last two weeks…
The COVID 19 virus is spreading around the world at pace. Expectations for creating a vaccine range from 12-24+ months. Other drugs to treat the virus have potential but are not yet proven and no timeline exists for their production and dissemination. The reported death rates vary from 0.5 percent in places where intensive care is available to 5 percent in places where health systems are overwhelmed. No nation’s medical system has enough capacity to deal with uncontrolled spread due to the speed at which COVID 19 transmits.
Unprecedented actions are being taken as governments around the world make radical regulatory calls to shutdown large swathes of economic activity to limit the spread of the virus. In New Zealand this is called ‘lockdown’ and people are required to stay in their homes except for essential service needs. All non-essential businesses are closed.
The objective of lockdown is to reduce the COVID 19 transmission rate (R) to a manageable level
R is the transmission rate of the virus – it is the speed at which COVID 19 spreads. For each infected person, R is the number of people they will go on to infect. An R greater than 1 means that the virus will grow in the population, an R less than 1 implies the virus will die out.
In the absence of interventions, COVID 19 has an R of approximately 2.5. This means that in the absence of interventions, every infected person would go on to infect 2.5 other people. This is substantially higher than the seasonal strains of influenza that infect large proportions of the world’s population each year.
A manageable level of cases is defined by the capacity of the health system to cope with the case load until a vaccine is developed and distributed (12-24 months). Modelling of outcomes under different response strategies is shown in the chart below.
Figure 1: Epidemic Modelling of the spread of COVID 19 in New Zealand under Mitigation and Suppression Strategies
Source: University of Otago, cited in https://www.nzherald.co.nz/nz/news/article.cfm?c_id=1&object id=12321353
There is evidence emerging that the initial lockdown phase is working to reduce R below 1
In New Zealand, the daily number of new cases appears to have stopped increasing in the past week, as shown in the chart below. Further evidence is required to confirm the new rate of infection under lockdown. At the time of writing, the lockdown appears to be working and the health care system is not overwhelmed. This could change at any time however and in two weeks we will know with more certainty.
There is evidence of suppression measures working in Korea, China, and Taiwan. Analysis of infection rates in Hubei province, China, suggests that R fell to 0.32 during the height of local suppression efforts (though there is some doubt on the reliability of Chinese data). This had led to a substantial reduction in the actual number of people infected in Hubei. This level of effectiveness would be enough to halt the growth of the virus in the population with a significant margin of error.
We will not have to wait long for an empirical understanding of the R that the lockdown measures are achieving in New Zealand. Over the next few weeks, we will have enough observations to determine the trend in our infection rate under lockdown, and thus calculate R. For this piece of analysis, we use 0.32 as an illustrative estimate of what the total impact of our lockdown measures might be. The actual number may be higher or lower, and we will know this soon.
Figure 2: Confirmed and Probable New COVID 19 Cases in New Zealand, 1 April
Stringent public health measures carry enormous economic and social costs
To gain control of the outbreak in the initial phase almost all measures that reduce R should be taken, but the costs of these measures cannot be sustained for long. Lockdown measures carry enormous social costs, losses in productivity, administration costs, and compliance costs. Over time additional costs could emerge as new problems are created in areas such as law and order, domestic violence, mental health, lost educational opportunities, and the like.
There is now a rapidly compounding economic crisis. New Zealand’s GDP may fall by 10 percent in the three months to June, and at the point of lockdown economic activity fell by 40 percent immediately, according to some commercial bank estimates. Not all of these costs can be attributed to the public health measures, however. Some of these costs will be incurred irrespective of the measures the New Zealand Government takes because restrictions imposed by other countries and the severe downturn in the global economy will impact New Zealand in any case.
Undershooting interventions early on carries an enormous economic cost in lives lost, however, overshooting (either maintaining restrictions for too long or imposing them unnecessarily) equally carries enormous economic costs. The magnitude of these impacts necessitates that we have a robust balancing method that is nimble and effective.
To guide decisions, we need a strategy for relaxing restrictions that balances the risk of further outbreaks against social and economic costs
Interventions range from detection and isolation of cases, to public hygiene campaigns, travel restrictions, assembly restrictions and forced closures of businesses and institutions.
We have compiled the following list of potential interventions to reduce the transmission of COVID 19 in New Zealand. This list is not exhaustive. Most, although not all, have been included in the lockdown phase in New Zealand.
Table 1: Potential Interventions to Reduce the Transmission of COVID 19
Which of these interventions will remain necessary in the next phase?
When we reverse the spread of COVID 19 and reach a manageable number of infected people, the key questions for policy makers will be which of these restrictions can be relaxed and when. The two factors to consider when making these decisions are:
The impact the restriction has on the transmission rate (R)
The economic cost of the restriction.
It will make sense to remove the least cost-effective interventions up to the point when R approaches 1. If R can be held at or below 1 then the number of infected people will stay constant or reduce over time. Reducing R substantially below 1 for too long will carry unnecessary cost.
The impact on R and the economic cost of each intervention are not known with certainty at this point but we can make reasonable estimates based on overseas evidence adjusted for New Zealand specific factors.
Evidence of lockdown policies effectiveness are emerging in South Korea, Singapore, Hong Kong and China. Effectiveness of the interventions listed above can be measured as reducing R from 2.5 to 0.32 (a change of 2.18). Reducing R to zero would mean a change of 2.5 (but no country has yet reported this). We recognise that there will be cultural differences in the effectiveness of individual measures, but this is an empirical example of the total potential impact of lockdown measures on R.
If we estimate the total potential impact of lockdown measures, then we are primarily concerned with the relative effectiveness of each intervention. Table 2 shows illustrative estimates of the impact of individual interventions on R, scaled so that the sum of all interventions is ΔR 2.18. The interventions were first categorised as having either ‘Low’, ‘Medium’, or ‘High’ effectiveness. We assume that Interventions labelled ‘Medium’ are half as effective as those labelled ‘High’, while those labelled ‘Low’ are half as effective as those labelled ‘Medium’. The largest observed ΔR (2.18) was then split between these interventions in proportion with these defined ratios. The results of this analysis are shown below.
Table 2: Illustrative Estimates of the Impact of Interventions on Transmission Rates
Notes: The actual ΔR for each intervention will depend on social, cultural, and geographic factors, meaning that each country is likely to have different results. We would also expect to see learning in each category, meaning that the effectiveness of each intervention should grow over time. We put these estimates forward to start a discussion about their real values in New Zealand. We welcome any empirical evidence or expert judgement that could improve these estimates.
What do these interventions cost us?
Economic costs include all impacts on society including administrative costs, compliance costs, and losses in productivity. It is the broadest measure that seeks to account for all costs – not just observable traded costs. It is not to be confused with financial costs to an individual party as it includes all costs to society, traded and non-traded, irrespective of where they fall.
We are interested in the additional economic cost impact of each intervention and we exclude the costs that will occur anyway (for example costs resulting from reduced foreign demand due to outbreaks in trading partner economies).
We estimated the cost of interventions using categories from 1 (lowest) to 10 (highest). Table 3 shows initial estimates of the cost category each intervention might fall in to. These estimates are based on an initial assessment and carry significant uncertainty.
Table 3: Initial Estimates of the Real Economic Costs and Cost Effectiveness of Interventions
Notes: These are initial first estimates of categories of real economic costs, some of which are better understood than others. As with our estimates for ΔR, we put this categorisation forward to start a discussion about the real costs in New Zealand. We welcome any empirical evidence or expert judgement that could more precisely estimate the costs.
The next phase of virus control will involve progressive relaxation of interventions
Ranking interventions by cost-effectiveness, we can identify the interventions that should be relaxed first. The categories of interventions are listed in Figure 3 from those with the highest cost-effectiveness on the left, to those with the lowest cost-effectiveness on the right.
Figure 3: Prioritised Interventions by Category
Using this framework, and our initial illustrative numbers, domestic travel restrictions would be eased first, since in this example such a relaxation would not result in exceeding the critical R = 1. Of course, this is illustrative only. The actual cost effectiveness ranking of the various interventions can only be estimated once more data has been gathered and more analysis done.
Our proposed framework, properly applied, can provide a foundation for the difficult policy decisions of if, when and which interventions to relax. To properly apply the framework, we need to gather and assess information on the economic costs of the various interventions. Additional, more in-depth analysis is required before applying the framework to ease any restrictions. If we can get the evidence, then we can use this framework to find the most cost-effective way to protect New Zealanders against the corona virus epidemic.
 This is known as the ‘basic reproduction number’ R0. Estimates for the R0 of COVID 19 range between 2 and 3 (James et al., 2020).
 Seasonal strains of influenza have an R0 of between 0.9 and 2.1. (see Coburn BJ; Wagner BG; Blower S (2009). “Modelling influenza epidemics and pandemics: insights into the future of swine flu (H1N1)”. BMC Medicine. 7. Article 30.)
 The data from China are controversial, and there is evidence that some numbers are unreliable, so it is worth treating the Hubei estimate cautiously. There is, however, reported evidence that the number of new infections in Hubei have fallen since their local peak in January. This means that, by definition, Hubei has been able to achieve an R below 1.
 There are likely to be crowding-out effects between interventions whereby each additional intervention reduces the ΔR of all the other interventions applied. Conversely, as policy makers remove interventions, the ΔR of the remaining interventions will increase marginally. It is therefore reasonable to assume that the ΔR values for each intervention listed in Table 2 is a low estimate, and its effectiveness would increase if other interventions were removed. We have estimated a linear adjustment factor to account for this effect, which we intend to expand upon in subsequent posts.