Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Trade Wars and Trade Negotiations in Agriculture

Authors: Harrison, Glenn; Rutstrom, E.;

Trade Wars and Trade Negotiations in Agriculture

Abstract

We employ a numerical equilibrium model to evaluate the payoffs to agricultural and non-agricultural interests in the EC and the US. A government objective function for each region is calibrated as a weighted sum of the payoffs to the two interest groups with weights corresponding to the benchmark political influence. The objective function is employed by each government to determine the level of agricultural support. The influence weights on agricultural interests that would rationalize the existing protection system with these objective functions are 72% in the EC and 61% in the US. A negotiated outcome which fulfills certain economic efficiency criteria with this disagreement point could result in partial liberalization of the CAP by 75% while simultaneously allowing US agriculture to gain an additional 50% protection. There are, however, alternatives to direct negotiations that could result in partial CAP liberalization. A marginal change in the political influence weights of European interest groups would also result in a 75% liberalization of the CAP. A complete liberalization of the CAP would nonetheless require substantial changes in these political weights. Even if the EC were indifferent to income distributional aspects of the outcome, corresponding to 50:50 weights, these would be an efficiency argument in favor of unilaterally keeping some endogenous protection in place. Complete liberalization would therefore, to some extent, require a reversal of the bias in income distributional considerations that now favors agricultural interests.

Country
United States
Related Organizations
Keywords

Policy, Agricultural and Resource Economics, 330, Statistical Models, Models and assessment tools, Economic Policy, Agriculture

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!