Economies are structured around certain climatic conditions, so it is not surprising that changes in climate have significant impact on economic activity.
Economic structures also determine the extent to which different populations are vulnerable to climate change. Research has shown that overall the poor in developing countries are the most vulnerable to climate change. And so the opportunity for vulnerability reduction should be large in developing countries. Yet there is a challenge: in financial terms poor communities do not have the level of assets of productivity that could be protected compared to richer communities.
Taken at face value, if projects are assessed and prioritized solely based on the level of monetized assets protected, then projects that reduce the vulnerability of asset- rich communities would be favoured over asset-poor communities with the same or higher levels of vulnerability. Furthermore, poorer communities generally lack the very assets that afford them higher levels of resiliency.
This would seem perverse when aggregate human needs such as shelter, food security, and health are much greater in developing countries. There is therefore a need to consider alternative methodologies for ‘asset’ valuation that can more suitably value social, economic and environmental assets in developing countries, enabling us to set meaningful ‘baseline’ valuations that underpin meaningful climate vulnerability and damage estimates.
ADJUSTING VRC ISSUANCES FOR DEVELOPMENT LEVELS: SUPPRESSED DEMAND AND MINIMUM SERVICE LEVELS
Suppressed Demand Baselines have particular relevance in developing countries, where basic needs are not being met. The idea of crediting future increases in demand, where it is currently being suppressed, has a basis in Clean Development Mechanism (CDM) emission reduction crediting rules and may be applied for vulnerability reduction credits VRCs™.
In the CDM, the minimum service level is a baseline of emissions where minimum human needs such as basic energy services (including lighting, cooking and drinking water supplies) are met. A Suppressed Demand Baseline is appropriate when basic energy services are below the “minimum service level” at the time of implementation of the CDM project activity.
We can borrow this “minimum service level” concept and apply it to climate adaptation if assets in developing countries, such as irrigation, storm drainage, or building standards, are below a minimum service level to withstand climate impacts. This effectively makes investment in vulnerable communities look more attractive, and by doing so, puts them on a more equal footing with countries (and communities) already operating at that minimum service level.
One way to define a minimum service level might be through gross national income. Other measures, such as the Human Development Index, may provide a broader perspective on a community’s resilience to climate change, but may be too involved, or expensive, to quantify at the community level for VRC project registration.
The adoption of a universal “minimum service level” factor for all vulnerable communities seeking VRC registration would serve as a baseline point from which to measure and compare the monetary benefit of a project. It allows us to compare the value of projects and issuance of VRCs in a fair way, by enabling us to quantify the ‘vulnerability reduction’ of projects. The minimum service level is therefore a major assumption – but a very useful one when it comes to measuring the climate vulnerability reduction from specific projects.






