The international community and governmental organizations are actively calling for the implementation of One Health (OH) surveillance systems to target health hazards that involve humans, animals, and their environment. In our view, the main characteristic of a OH surveillance system is the collaboration across institutions and disciplines operating within the different sectors to plan, coordinate, and implement the surveillance process. However, the multisectoral organizational models and possible collaborative modalities implemented throughout the surveillance process are multi-fold and depend on the objective and context of the surveillance. The purpose of this study is to define a matrix to evaluate the quality and appropriateness of multisectoral collaboration through an in-depth analysis of its organization, implementation, and functions. We developed a first list of evaluation attributes based on (i) the characteristics of the organization, implementation, and functionality of multisectoral surveillance systems; and (ii) the existing attributes for the evaluation of health surveillance systems and OH initiatives. These attributes were submitted to two rounds of expert-opinion elicitation for review and validation. The final list of attributes consisted of 23 organizational attributes and 9 functional attributes, to which 3 organizational indexes were added measuring the overall organization of collaboration. We then defined 75 criteria to evaluate the level of satisfaction for the attributes and indexes. The criteria were scored following a four-tiered scoring grid. Graphical representations allowed for an easy overview of the evaluation results for both attributes and indexes. This evaluation matrix is the first to allow an in-depth analysis of collaboration in a multisectoral surveillance system and is the preliminary step toward the creation of a fully standalone tool for the evaluation of collaboration. After its practical application and adaptability to different contexts are field-tested, this tool could be very useful in identifying the strengths and weaknesses of collaboration occurring in a multisectoral surveillance system.

This paper provides the first insights into the capital structure of listed companies in Vietnam, one of the most dynamic economies in the Asia-Pacific region. We employ a panel GMM (generalized method of moments) system estimator to analyse the determinants of the capital structure of non-financial firms listed on either the Ho Chi Minh Stock Exchange or the Hanoi Stock Exchange for the period 2007–11. We conclude that, despite the emergence in recent years of equity and a corporate debt capital market, the capital structure of Vietnamese enterprises is still dominated by the use of short-term financing sources. Further, our results show that state-controlled enterprises continue to have preferential access to finance and that high-growth firms still rely principally on external debt rather than equity issuance. These results indicate that policymakers need to continue to pursue policies that will deepen capital markets and ensure that bank finance is allocated on a purely commercial basis

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