Forests Sourcebook - HCV Resource Network
Forests Sourcebook - HCV Resource Network
Forests Sourcebook - HCV Resource Network
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ANNEX 6.3B<br />
TOOLS FOR RAPID ASSESSMENT OF CROSS-SECTORAL IMPACTS<br />
This annex is based on Hamilton and Mani (2005).<br />
Analysis of price changes<br />
For reforms that will have a foreseeable effect on prices, it<br />
may be possible to carry out a partial equilibrium analysis of<br />
the effects of price changes, assuming that sufficient data<br />
and time for analysis are available. The prices of interest will<br />
typically be natural resource and energy prices because<br />
these will have the most direct effect on the environment<br />
and natural resources. Three forms of analysis are possible:<br />
■<br />
■<br />
■<br />
Supply response. Will the price change affect the supply of<br />
a good (timber, for example)? Can supply elasticities,<br />
including cross-elasticities, be estimated? How rapid is<br />
the supply response likely to be?<br />
Demand response. Will the price change affect the<br />
demand for an environmentally sensitive good? Can<br />
demand elasticities, including cross-elasticities, be estimated<br />
(for example, will raising natural gas prices make<br />
coal relatively more attractive to consumers)?<br />
von Thunen analysis. Will the price change affect the relative<br />
price of goods in such a manner as to change the<br />
location of economic activity? For example, will it make<br />
conversion of forested land to agriculture more profitable?<br />
Heuristic tools<br />
Checklists. When time and data limitations preclude the<br />
quantitative analysis of links between a policy-based operation<br />
and forests, one fallback is to pose a set of questions<br />
about the individual operation or the broader country program.<br />
This could be on the availability of adequate analytical<br />
underpinnings, policy and regulatory frameworks covering<br />
the forest sector, institutional issues, and issues relating<br />
to transparency and accountability (see Hamilton and Mani<br />
2005). Depending on the answers to these questions, actions<br />
might be taken in the design of the operation, or within the<br />
country program, to enhance positive and mitigate negative<br />
effects of the operation.<br />
Action-effect matrices. A more structured nonquantitative<br />
approach to analyzing effects can be achieved through<br />
the use of action-effect matrices. Using an action-effect<br />
matrix, a given policy reform may be analyzed according to<br />
the likelihood of effects on the poor mediated by the environment,<br />
forest, and natural resources, and the likelihood of<br />
other effects on the environment (see Hamilton and Mani<br />
2005). Based on this more structured analysis of the individual<br />
components of a policy-based operation, it may be<br />
possible to suggest design changes, mitigating actions, or<br />
indicators that should be monitored over time.<br />
Red flags<br />
Another nonquantitative approach to reviewing and analyzing<br />
policy-based operations is to look for “red flags”—issues<br />
that raise the likelihood of significant effects on the environment<br />
and natural resources. At the operational level these<br />
include energy price reforms, natural resource price reforms,<br />
and changes in exchange rate regimes. At the country program<br />
level, they could include economic, political, and<br />
resource risks; policy and institutional failures (particularly<br />
in the resource sectors); weak regulation and implementation<br />
capacity; and lack of monitoring and enforcement.<br />
NOTE 6.3: IDENTIFYING THE NEED FOR ANALYSIS ON FORESTS IN DEVELOPMENT POLICY REFORMS 237