Resumen
Green port governance is an emerging and recent port restructuring process influencing port authorities regarding adopting recurring sustainable governance practices within their business models. However, contemporary academic bias towards a particular aspect of port sustainable governance practice leads to publication results fragmentation and difficulty in a collective assessment of the conclusions. The lack of holistic research endeavors to port sustainable governance practices hinders the identification of organized, specific, and goal-oriented factors indispensable for coherently directing ports to sustainable and green transitions. In order to bridge the identified gap, this paper conducts a bibliometric analysis of 278 scientific articles on the emerging green port governance concept in the maritime industry, published in 113 academic outlets, authored by 695 scholars, and obtained from the world?s most reputable scientific database?ISI Web of Science. The conducted meta-analysis via HistCite software revealed the most prestigious academic institutions, the most prominent scientific journals, the most impactful scientific articles, and the most influential scholars. The bibliographic coupling methodology via Bibliometrix tool in R software indicated five concurrent research streams on the basis of the top 10% of the scientific articles: (1) Adoption of contextualized models of port governance reform as a consequence of port multi-scalar embeddedness forces and institutional stretching; (2) Fostering port sustainability competitiveness via extended resource pools in terms of dry ports coupling; (3) The digitalization role of information systems regarding the interaction between transport, infrastructure, and institutional management in ports; (4) Assessment and innovation in seaport competition policies for the integration of green and sustainable operations; and (5) Conceptual development and awareness raising of port management practices on account of CO2 evidence-based policies regarding port terminals. The application of co-citation analysis methodology revealed future research directions within the five concurrent research streams on the basis of the top 5% trending scientific articles. The detailed content analysis assesses the scientific mapping of future research directions via the structural associations of the Driver-Pressure-State-Impact-Response (DPSIR) framework. The cause-and-effect relationships of the structural associations of the DPSIR framework possess the possibility of providing substantial insights into the most influential factor identification regarding the development of green port governance models and self-assessment toolkits.