Trade and sustainability: analysing Specific Trade Concerns (STCs) through the Theory of Change

Pupo D'Andrea M. R. et al.

Studies in Agricultural Economics2025https://doi.org/10.7896/j.3045article
AJG 1ABDC C
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0.50

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Trade and sustainability: analysing Specific Trade Concerns (STCs) through the Theory of ChangeThis study explores the link between trade and sustainability, focusing on Sanitary and Phytosanitary (SPS) measures within the WTO framework.It highlights the importance of Specific Trade Concerns (STCs) as a dispute management tool and their implications for sustainability.Analysing three case studies -EU-China (African Swine Fever), EU-India (Methyl Bromide fumigation), and Senegal-EU (mango exports) -the paper identifies divergent, negotiable trade-offs, and cooperative behaviours among trading partners.The study applies the Theory of Change (ToC) framework to the three STCs to assess the effectiveness of linking trade with sustainability goals.Findings reveal that sustainability considerations are critical for resolving STCs and achieving policy coherence and integration.The EU-Senegal case demonstrates ToC alignment, showcasing the success of a cooperative approach in addressing sustainability.In contrast, unsolved issues in the EU-China and EU-India cases highlight faults in sustainability integration.The study underlines STCs' potential for modernising the WTO by fostering the linkages between trade and sustainability through institutional change.

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https://doi.org/https://doi.org/10.7896/j.3045

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@article{pupo2025,
  title        = {{Trade and sustainability: analysing Specific Trade Concerns (STCs) through the Theory of Change}},
  author       = {Pupo D'Andrea M. R. et al.},
  journal      = {Studies in Agricultural Economics},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.7896/j.3045},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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