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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

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