Policy Evaluation Model: Connecting the PSE to economic outcomes

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Policy Evaluation Model: Connecting the PSE to economic outcomes Roger Martini Trade and Agriculture Directorate, OECD OECD Regional Meeting on Agricultural Policy Reform Bucharest, Romania 24-26 September 2007

PEM is designed with the PSE in mind It was created as part of the mandate to measure and evaluate agricultural policies in OECD countries PEM s structure fits the PSE classification of policies, such that each category has an appropriate analogue in the model This is why factor markets receive so much attention in the model 2

PEM is designed with OECD agricultural policy in mind Its scope is limited to (most) OECD countries, and only agricultural markets. The scale of aggregation matches the scope of agricultural policy application in the OECD including the new EU members It is designed to investigate the potential impacts of actual and hypothetical policy reforms on production, consumption, trade, and welfare 3

PEM Basics The model is partial equilibrium It covers the markets for major crops (wheat, coarse grains, oilseeds, rice) and livestock (milk and beef) and their related input markets. It has an aggregate representation of production Production is represented at a national scale, rather than modelling an individual farm, or a number of farms 4

PEM Uses a medium-term outlook Adjustments in the model happen over a five year time horizon. This means all factors can adjust to market changes in the model, including capital, and all are substitutes For example, in the short run a farmer decides how many hours to drive the tractor. In the long run, they decide how big the tractor should be and how many they should own. 5

Multiple factor markets enrich welfare analysis A key objective is to investigate welfare-based questions such as transfer efficiency of programs Transfer efficiency measures the ratio of producer welfare gain to program costs Factor markets allow us to identify where benefits go more precisely specifically between farmers and other suppliers of farm factors of production 6

Measuring transfer efficiency P Farmers Others TOTAL PSE=A+B+C TE=A/PSE S UNIT PSE P d P w A B C S Q s 0 Resource Cost Q s Q 7

P Farmers Others S P d P w Q s 0 Q s Q P S P S p p Farm owned factors p p Input suppliers q q q q 8

While PEM represents several factor markets, land markets are a focus Policies often target land and its uses, so good policy representation requires good land representation. Land in PEM is a heterogeneous input with many possible uses Farmers maximise profits by allocating land across uses according to a hierarchical transformation function 9

PEM land supply structure All land 1 1 1 Pasture, field crops Rice Other/misc. 2 2 2 Pasture Other Arable Cereals/Oilseeds 4 4 3 3 3 Beef Milk Wheat Oilseeds Coarse Grains 10

Uses of the PEM PEM results have been featured in studies of specific countries, in analysis of specific policy reforms such as the 2003 CAP reform, and for specific policy areas such as dairy policy. The following examples demonstrate how the PEM is used and the type of analysis it can produce. 11

1/ Distribution of policy gains, subsistence and commercial maize producers in Mexico Subsistence producers Commercial producers 0 2 4 6 8 10 12 14 16 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 Subsistence, percentage of total 16 27 26 23 20 18 14 15 13 17 23 12

2/ Impact of increasing dairy quota in EU by 1% Change in the resulting from an Increase of quota only Producer Price -0.3% -2.9% Marginal production cost +0.8% +0.8% Net Exports +16.3% +6.4% World price -0.5% -0.2% Increase quota+ constant export subsidies Farm welfare -95 mio -1 084 mio 13

3/ Relative impact of policies on farm income with respect to price support 2.1 1.0 CH CN EU JP MX US -0.1 HE FI IS OU OU(all) AP AP(all) AA 14

Summary PEM contributes to the mandate to monitor and evaluate agricultural policies It applies economic concepts and related parameters to the PSE in order to enable policy evaluation. It is used by the OECD to carry out counterfactual policy scenarios illustrating the impacts of policies on production, trade, and welfare within and across countries 15

OECD Regional Meeting on Agricultural Policy Reform Bucharest, Romania Thank you! www.oecd.org/tad Roger.Martini@oecd.org 16