Increased complexity and density of transnational problems create unprecedented challenges and opportunities for contemporary international governance. “Issue linkage” is one institutional arrangement through which states address these changing circumstances. In this article, we examine the widening scope of the nontrade agenda in preferential trade agreements (PTAs). Nontrade issues (NTIs) such as human rights, democracy, environment, corruption, and labor standards are increasingly linked to PTAs. This issue linkage has important implications for understanding changing patterns of international trade, including the shift to PTAs and the rise of NTIs. We show that (1) states’ choices to commit to bilateral or plurilateral versions of traditional PTAs and to PTAs with NTIs are highly interdependent, (2) states increasingly incorporate NTIs into PTAs, as the associated costs of policy change are lowered through earlier agreements, and (3) network pressures favor the increasing adoption of bilateral and especially plurilateral NTIs over time. Using an original data set on NTIs covering 522 PTAs and spanning the period 1951 to 2009, we evaluate states’ motives behind the widening nontrade agenda of trade agreements using longitudinal network modeling. We employ multiplex coevolution stochastic actor-oriented network models in a novel design to account for interdependencies within and across states’ decisions. Following a descriptive mapping of major NTIs, we evaluate our theoretical arguments. Testing against the alternative explanations of power and commitment, we find that endogenous cost considerations are the most significant factor explaining the inclusion of NTIs into PTAs.
In cases of suspected abnormalities of the upper airway in small infants unable to be weaned from ventilatory support, tracheobronchography may be a more reliable investigation method than rigid bronchoscopy. The ability to assess the structural and dynamic components of the airway accurately and safely allows a correct and long-term treatment plan to be established in this group of patients.
The G7 should address new, unprecedented and highly disruptive issues that characterise our complex world, rather than well‐understood international problems that fit into existing categories. We argue that the G7 can do this by playing to its strengths – informality and like‐mindedness in particular – in addressing emerging and transversal issues such as Artificial Intelligence (AI) and cryptocurrencies.
New international agreements often recycle language from previous agreements, using boilerplate solutions alongside customized provisions. The presence of boilerplate in international agreements has important implications for understanding how international rules are made. The determinants behind boilerplate in international agreements have not previously been systematically evaluated. Using original data from a sample of 348 preferential trade agreements (PTAs) adopted between 1989 and 2009, we combine novel text analysis measures with Latent Order Logistic (LOLOG) graph network techniques to assess the determinants behind boilerplate in labor and environmental provisions commonly found in PTAs. Our results indicate that whereas boilerplate can be used for both efficiency and distributive purposes, international boilerplate is used primarily for efficiency gains and power-distribution considerations are not systematically important.
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