Harmonization of Rules of Origin: An Agenda for Plurilateral Cooperation?

Hoekman, Bernard M.; Inama, Stefano

doi:10.11644/kiep.eaer.2018.22.1.336

Cited by 16 publications

(14 citation statements)

References 13 publications

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“…14 For a discussion of the difference of "form" and "substance" of PSROs, see Hoekman and Inama (2018).…”

Section: Box Continuedmentioning

confidence: 99%

A Preliminary Assessment of the Regional Comprehensive Economic Partnership

Crivelli¹,

Inama²

2022

ADB Briefs

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Mega-regional trade deals require economies to forge appropriate policy responses to navigate implementation challenges and unlock potential opportunities. The Regional Comprehensive Economic Partnership (RCEP), which entered into force on 1 January 2022, is no exception. 1 Partnering 10 Southeast Asian nations with Australia, the People's Republic of China (PRC), Japan, the Republic of Korea, and New Zealand, RCEP is the most recent plurilateral initiative to foster regional cooperation and integration in Asia and the Pacific. 2 As a strong commitment to open, transparent, and inclusive trade and investment regimes, the agreement is expected to strengthen the region's manufacturing supply chains, raise productivity, and increase wages and employment, with world income gains estimated at $263 billion (Park, Petri, and Plummer 2021).At the same time, compared to the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) and other agreements in Asia and the Pacific, RCEP does not provide strong disciplines in new areas and has been qualified as a "shallow" agreement.

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“…14 For a discussion of the difference of "form" and "substance" of PSROs, see Hoekman and Inama (2018).…”

Section: Box Continuedmentioning

confidence: 99%

A Preliminary Assessment of the Regional Comprehensive Economic Partnership

Crivelli¹,

Inama²

2022

ADB Briefs

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“…In the absence of WTO harmonization of non-preferential RoO, every WTO Member establishes its own rules to determine whether a product can be considered as made in a specific country (Hoekman and Inama, 2018, p. 7). This has resulted in a variety of RoO that can cause serious problems to economic operators operating in different States[7].…”

Section: Fta Negotiations and Roomentioning

confidence: 99%

Brexit and the EU–UK free trade agreement: dos and don’ts when drafting rules of origin

Soprano

2019

JITLP

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Purpose The purpose of this paper is to highlight the pros and cons of different models of the European Union (EU)-style Rules of Origin (RoO) that could be chosen by negotiators for a future UK–EU Free Trade Agreement (FTA). It will also underline the impact that any choice would have on economic operators and certain criteria that should be evaluated before taking any decisions on the adoption of RoO. Design/methodology/approach The paper will describe three different RoO models that could be chosen by negotiators. For each of them, it analyses the pros and cons and the impact on economic operators. Findings The choice of a RoO would have an impact on future EU–UK trade relations. It will affect the utilization rate of the FTA as well as investment (and divestment) corporate strategies in the UK and EU. Originality/value The paper introduces different criteria to evaluate the impact of RoO that should be taken into consideration by negotiators. It emphasizes that RoO should be simple, predictable, coherent, IT compatible and easily adaptable.

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“…Adopting transparent, easy-to-comprehend ROOs to minimise the scope for policy interpretations and administrative discretions, and reducing cross-agreement inconsistencies by ensuring that products be subject to homogenised ROO regimes across trade treaties are also considered "best practices" to make customarily restrictive ROOs more liberal (Brenton, 2011). Non-preferential ROOs (Estevadeordal and Suominen, 2003;Hoekman and Inama, 2018), for its part, is to be distinguished from preferential ROOs. Unlike the preferential ROOs that are predominately relevant in the context of FTAs or preferential arrangements (e.g.…”

Section: Policy Simulation Scenariosmentioning

confidence: 99%