Green Shipping Corridors: A Bibliometric Analysis of Policy, Technology, and Stakeholder Collaboration
Abstract
:1. Introduction
2. Bibliometric Analysis Research Methodology
2.1. Bibliometric Analysis Methodological Process: A Five-Step Approach
- Step 1. Data Collection through ISI Web of Science Search:
- Step 2. Bibliometric Analysis and Network Construction:
- Step 3. Thematic Clustering:
- Step 4. Selection of the Most Influential Articles in the Clusters:
- Step 5. Synthesis of Findings:
2.2. Bibliographic Data Extraction Process
3. Bibliometric Analysis: Findings and Research Insights
3.1. Bibliometric Overview of Green Shipping Corridors
3.1.1. Dataset Main Information
3.1.2. Document Contents
3.1.3. Authors and Author Collaboration
3.1.4. Document Types
3.2. Annual Scholarly Output
3.3. Ranking of Publication Outlets by Bibliographic Indices
3.4. Ranking of Publications by Bibliographic Indices
3.5. Ranking of Scholars by Bibliographic Indices
3.6. Institutional Contributions in Publication Volume
3.7. Ranking of Countries by Bibliographic Indices
3.8. Three-Fields Plot Diagram
4. Research Clusters: Content Analysis
- Cluster 1: Sustainable Green Shipping Practices and Research; focuses on conceptual frameworks, performance metrics, and resource management in maritime operations.
- Cluster 2: Alternative Fuels and Low-Carbon Strategies for Maritime Transport; addresses comparative evaluations of fuel types and decision-based strategies for decarbonization.
- Cluster 3: Green and Low-Carbon Maritime Development; underscores policy perspectives, global industry trends, and advanced modeling for emission reduction.
- Cluster 4: Environmental Sustainability in Maritime Shipping; investigates governance mechanisms, financial decision making, and technological feasibility for greener maritime operations.
4.1. Cluster 1: Sustainable Green Shipping Practices and Research
4.1.1. Subcluster 1: Conceptualization and Theoretical Integration
4.1.2. Subcluster 2: Performance, Outcomes, and Resource Management
4.1.3. Subcluster 3: Methodological and Thematic Evolution
4.2. Cluster 2: Alternative Fuels and Low-Carbon Strategies for Maritime Transport
4.2.1. Subcluster 1: Strategic Pathways to Clean Fuel Strategies
4.2.2. Subcluster 2: Comparative and Decision-Based Evaluations of Alternative Fuels
4.3. Cluster 3: Green and Low-Carbon Maritime Development
4.3.1. Subcluster 1: Strategic Overviews, Industry Trends, and Policy Perspectives
4.3.2. Subcluster 2: Quantitative Modeling, Prediction, and Emission Reduction Analysis
4.4. Cluster 4: Environmental Sustainability in Maritime Shipping
4.4.1. Subcluster 1: Governance and Financial Decision Making for Environmental Compliance
4.4.2. Subcluster 2: Technological Feasibility and Energy Efficiency Analysis
4.5. Cross-Cluster Methodological Convergence in Green Shipping Corridors Research
5. Overview of Policy, Technology, and Stakeholder Collaboration
5.1. Policy Overview
5.2. Technology Overview
5.3. Stakeholder Collaboration Overview
5.4. Extending the Green Corridor Concept: Clarifying Technological Innovations, Policy Reforms, and Stakeholder Collaborations
6. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
CH4 | Methane |
CNG | Compressed Natural Gas |
CO2 | Carbon Dioxide |
CSR | Corporate Social Responsibility |
DME | Dimethyl Ether |
EEOI | Energy Efficiency Operational Indicator |
EEDI | Energy Efficiency Design Index |
GHG | Greenhouse Gas |
GSPs | Green Shipping Practices |
ICEs | Internal Combustion Engines |
IMO | International Maritime Organization |
KBV | Knowledge-Based View |
LNG | Liquefied Natural Gas |
LPG | Liquefied Petroleum Gas |
MCDA | Multi-Criteria Decision Analysis |
MGO | Marine Gas Oil |
N2O | Nitrous Oxide |
OPS | Onshore Power Supply |
PA | Port Authority |
RBV | Resource-Based View |
RoPax | Roll-on/Roll-off Passenger Ship |
RV | Relational View |
SEM | Structural Equation Model |
SSP | Sustainable Shipping Practices |
Appendix A
No. | Article | Article Contribution | Citations |
---|---|---|---|
Cluster 1. Sustainable Green Shipping Practices and Research | |||
1. | Yuen (2017) [39] | This article integrates stakeholder, planned behavior, and resource dependence theories, demonstrating that pressure, attitude, and control drive sustainable shipping practices. | 104 |
2. | Lai (2011) [40] | This study proposes a six-dimensional framework integrating stakeholder and institutional theories, yielding dual benefits. Growing environmental concerns and industry pressures drive greener shipping practices. | 129 |
3. | Yuen (2018) [44] | This article elaborates how sustainable shipping practices enhance shippers’ loyalty by increasing perceived value and trust while reducing transaction costs. Survey data from 2433 shippers support these mediating effects. | 87 |
4. | Yuen (2019a) [46] | This study develops a taxonomy categorizing sustainable shipping resources into intrafirm, interfirm, and organizational learning types; effective management of these resources indirectly enhances business performance. | 39 |
5. | Shi (2018a) [49] | This review highlights exponential growth in green shipping research, categorizing studies into pollution reduction, policy, economic performance, and emissions evaluation. It emphasizes the shift towards integrated sustainability assessments and clearly identifies significant knowledge gaps for further research exploration. | 44 |
Cluster 2. Alternative Fuels and Low-Carbon Strategies for Maritime Transport | |||
6. | Xing (2021) [23] | This study reviews alternative marine fuels for low-carbon shipping by 2050, focusing on energy density and emission reduction. It identifies hydrogen, ammonia, and methanol as promising options, despite cost and infrastructure challenges, underscoring the need for early consensus building. | 208 |
7. | Hansson (2020) [53] | The study’s energy systems modeling and MCDA reveal ammonia to be nearly as promising as hydrogen for low-carbon shipping. However, significant technical and economic challenges remain. | 132 |
8. | Nguyen (2023) [55] | The study categorizes fuels, reviews key challenges, and emphasizes early consensus building, infrastructure development, and integrated renewable energy strategies for a sustainable maritime transition. Due to stringent emission regulations, ship owners are exploring alternative fuels and innovative technologies to achieve low-carbon shipping by 2050. | 21 |
9. | Iannaccone (2020) [33] | The study shows that LNG-based fuel systems outperform conventional marine fuels environmentally, economically, and safely using a sustainability fingerprint methodology, providing design guidance across regulatory frameworks. | 100 |
10. | McKinlay (2021) [42] | The study compares hydrogen, ammonia, and methanol as alternative marine fuels, highlighting hydrogen’s favorable decarbonization potential despite storage challenges. It emphasizes optimizing fuel storage based on actual usage to reduce mass and volume requirements for large vessels. | 137 |
Cluster 3. Green and Low-Carbon Maritime Development | |||
11. | Wang (2023a) [50] | The extensive literature on green shipping reveals that technological innovations, alternative fuels, and integrated energy management are essential for sustainable maritime operations. Future research must emphasize collaborative governance and advanced optimization models to address operational, economic, and environmental challenges in green port construction and ship propulsion systems. | 24 |
12. | Yan (2020) [56] | The study introduces a two-stage model integrating random forest regression and mixed-integer programming predicts and optimizes dry bulk ship fuel consumption, achieving 2–7% savings by smoothing speed–fuel discontinuities. | 112 |
13. | Christodoulou (2021) [41] | The study demonstrates how Stena Line employs a broad range of voluntary sustainability measures—including OPS, methanol conversion, electrification, and economies of scale—to reduce emissions and improve operational efficiency. These initiatives, embedded in their CSR strategy and supported by regulatory incentives, yield significant environmental benefits despite high initial costs and technical challenges. | 26 |
14. | Carriou (2019) [36] | The study quantitatively measures container shipping CO2 emission reductions—33% overall—driven by improved fuel efficiency and optimized network design, despite an 81% increase in fleet capacity. It underscores the need for supply chain and logistics strategies to further reduce emissions by designing carbon-efficient cargo routing solutions using transparent, trade-lane-specific methodologies. | 42 |
15. | Chen (2019) [47] | The study develops an allometric model that reveals that CO2 and CH4 grow slower than fleet size, but N2O increases faster. Operational reductions require stricter policies to meet IMO targets. | 100 |
Cluster 4. Environmental Sustainability in Maritime Shipping | |||
16. | Lister (2015a) [51] | The study develops a four-factor framework identifying barriers—low issue visibility, misaligned interests, broad environmental concerns, and regulatory fragmentation—that hinder effective maritime governance. It recommends that the IMO orchestrate transnational environmental initiatives using both directive mandates and facilitative support to enhance sustainability. | 106 |
17. | Acciaro (2014a) [57] | The study reveals that LNG retrofitting, despite its potential for ECA compliance and cost savings, is hindered by high capital costs and uncertain LNG pricing. Real options analysis demonstrates that deferring retrofitting decisions under uncertainty is strategically valuable, and policymakers should support adoption via incentives, funding, and regulatory clarity. | 100 |
18. | Baldi and Gabrielii (2015b) [45] | The study introduces an exergy-based methodology to estimate WHR benefits, predicting fuel savings between 4% and 16% by linking operational profiles with available waste heat. It serves as a decision support tool for shipowners, connecting fuel savings with payback time and capital investment while highlighting the impact of dynamic engine loads. | 82 |
19. | Acciaro (2014b) [48] | The study uses Real Options Analysis to balance low LNG fuel prices against high retrofitting costs amid stricter sulfur regulations. It demonstrates that deferring LNG investments can optimize compliance strategies compared to alternatives like exhaust gas cleaning systems. | 23 |
20. | Baldi (2018) [52] | The study applies energy and exergy analyses to a Baltic Sea cruise ship, revealing that propulsion consumes nearly half the energy while over 75% of energy quality is lost through combustion. It distinguishes model-driven methods from data-driven approaches, emphasizing the need for detailed operational data to enhance ship energy system efficiency and meet IMO emission targets. | 69 |
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Step | Keyword Search | No. Articles |
---|---|---|
1 | “Green Shipping Corridor*” | 21 |
2 | (“Green Shipping Corridor*” OR “Zero-Emission Shipping”) | 46 |
3 | (“Green Shipping Corridor*” OR “Zero-Emission Shipping” OR “Sustainable Maritime Transport”) | 76 |
4 | (“Green Shipping Corridor*” OR “Zero-Emission Shipping” OR “Sustainable Maritime Transport” OR “Sustainable Shipping”) | 228 |
5 | (“Green Shipping Corridor*” OR “Zero-Emission Shipping” OR “Sustainable Maritime Transport” OR “Sustainable Shipping” OR “Maritime Decarbonization”) | 269 |
6 | (“Green Shipping Corridor*” OR “Zero-Emission Shipping” OR “Sustainable Maritime Transport” OR “Sustainable Shipping” OR “Maritime Decarbonization” OR “Green Shipping*”) | 528 |
7 | (“Green Shipping Corridor*” OR “Zero-Emission Shipping” OR “Sustainable Maritime Transport” OR “Sustainable Shipping” OR “Maritime Decarbonization” OR “Green Shipping*” OR “Low-Carbon Shipping*”) | 598 |
8 | (“Green Shipping Corridor*” OR “Zero-Emission Shipping” OR “Sustainable Maritime Transport” OR “Sustainable Shipping” OR “Maritime Decarbonization” OR “Green Shipping*” OR “Low-Carbon Shipping*”) AND “Maritime” | 455 |
9 | Exclusion Criteria: English Language | 454 |
10 | Exclusion Criteria: Article | 388 |
11 | Exclusion Criteria: Article Manual Screening for Inquired Relevance | 238 |
No | Publication Outlet | NA * | LC * | LC/NA * | h-Index | PY Start * |
---|---|---|---|---|---|---|
1 | Sustainability | 20 | 200 | 10.0 | 8 | 2018 |
2 | Transportation Research Part D | 16 | 617 | 38.6 | 12 | 2014 |
3 | Journal of Marine Science and Engineering | 13 | 154 | 11.8 | 6 | 2019 |
4 | Maritime Policy & Management | 11 | 307 | 27.9 | 8 | 2014 |
5 | Journal of Cleaner Production | 10 | 431 | 43.1 | 8 | 2015 |
6 | Transportation Research Part E | 10 | 310 | 31.0 | 7 | 2015 |
7 | Ocean & Coastal Management | 9 | 116 | 12.9 | 5 | 2002 |
8 | Marine Policy | 8 | 183 | 22.9 | 4 | 2017 |
9 | International Journal on Hydrogen Energy | 7 | 227 | 32.4 | 4 | 2021 |
10 | Ocean Engineering | 7 | 242 | 34.6 | 6 | 2015 |
No | Publication | Year | LC * | GC * | LC/GC * |
---|---|---|---|---|---|
1 | Xing, H. (2021), J. Clean. Prod. [31] | 2021 | 16 | 208 | 7.6 |
2 | Lirn, T.C., (2014), Marit. Policy Manag. [32] | 2014 | 10 | 54 | 18.5 |
3 | Lun, Y.H.V., (2014), Marit. Policy Manag. [33] | 2014 | 7 | 38 | 18.4 |
4 | Parviainen, (T., 2018), WMU. J. Marit. Aff. [34] | 2018 | 7 | 38 | 18.4 |
5 | Iannaccone, (T., 2020), J. Clean. Prod. [35] | 2020 | 6 | 100 | 6.0 |
6 | Lister, J., (2015), Glob. Policy [36] | 2015 | 5 | 36 | 13.8 |
7 | Psaraftis, H.N., (2019), Marit. Econ. Logist. [37] | 2019 | 5 | 54 | 9.2 |
8 | Pierre, C., (2019), Int. J. Prod. Econ. [38] | 2019 | 5 | 84 | 5.9 |
9 | Lin, D.Y., (2021), J. Clean. Prod. [39] | 2021 | 4 | 47 | 8.5 |
10 | Alexandrou, S.E., (2022), Marit. Policy Manag. [40] | 2022 | 4 | 25 | 16.0 |
No | Scholar | NP * | TC * | TC/NP * | h_Index | PY Start * |
---|---|---|---|---|---|---|
1 | Yuen K.F. | 10 | 400 | 40.0 | 9 | 2017 |
2 | Li K.X. | 7 | 271 | 38.7 | 7 | 2018 |
3 | Wang H. | 9 | 130 | 14.4 | 7 | 2019 |
4 | Wang X. | 9 | 306 | 34.0 | 7 | 2017 |
5 | Lun Y.H.V. | 6 | 252 | 42.0 | 6 | 2011 |
6 | Wang S. | 12 | 299 | 24.9 | 6 | 2020 |
7 | Acciaro M. | 6 | 214 | 35.7 | 5 | 2014 |
8 | Hansson J. | 5 | 255 | 51.0 | 5 | 2020 |
9 | Cheng T.C.E. | 5 | 246 | 49.2 | 5 | 2011 |
10 | Wong Y.D. | 5 | 261 | 52.2 | 5 | 2017 |
No | Institution | Publication Volume |
---|---|---|
1 | Hong Kong Polytechnic University | 50 |
2 | Shanghai Maritime University | 32 |
3 | Nanyang Technological University | 30 |
4 | Dalian Maritime University | 23 |
5 | Chalmers University of Technology | 21 |
6 | Shanghai University | 17 |
7 | Wuhan University of Technology | 17 |
8 | Chung—Ang University | 15 |
9 | Kedge Business School | 12 |
10 | Shanghai Jiao Tong University | 11 |
No | Country | PV * | APC * | SCP * | MCP * | MCP_Ratio * |
---|---|---|---|---|---|---|
1 | China | 79 | 20.6 | 56 | 23 | 0.29 |
2 | Sweden | 16 | 33.7 | 13 | 3 | 0.19 |
3 | Norway | 16 | 24.1 | 11 | 5 | 0.31 |
4 | Germany | 12 | 17.3 | 9 | 3 | 0.25 |
5 | Finland | 8 | 10.3 | 6 | 2 | 0.25 |
6 | United Kingdom | 9 | 24.4 | 5 | 4 | 0.44 |
7 | Canada | 7 | 50.3 | 5 | 2 | 0.29 |
8 | Poland | 6 | 16 | 4 | 2 | 0.33 |
9 | Italy | 5 | 31.2 | 4 | 1 | 0.20 |
10 | Korea | 10 | 18.2 | 3 | 7 | 0.70 |
Cluster 1: Sustainable Green Shipping Practices and Research | Cluster 2: Alternative Fuels and Low-Carbon Strategies for Maritime Transport | Cluster 3: Green and Low-Carbon Maritime Development | Cluster 4: Environmental Sustainability in Maritime Shipping |
---|---|---|---|
Yuen (2017) [44] | Xing (2021) [31] | Wang (2023a) [41] | Lister (2015a) [45] |
Lai (2011) [46] | Hansson (2020) [42] | Yan (2020) [47] | Acciaro (2014a) [48] |
Yuen (2018) [49] | Nguyen (2023) [50] | Christodoulou (2021) [51] | Baldi and Gabrielii (2015b) [52] |
Yuen (2019a) [53] | Iannaccone (2020) [35] | Carriou (2019) [38] | Acciaro (2014b) [54] |
Shi (2018a) [55] | McKinlay (2021) [56] | Chen (2019) [57] | Baldi (2018) [58] |
Policy Name | Policy Definition | Reference |
---|---|---|
Institutional Frameworks for GSP Adoption | Policy frameworks leveraging coercive regulatory measures, normative industry standards, and mimetic market-driven pressures to ensure the adoption of green shipping practices (GSPs), including eco-friendly equipment and voyage optimization. | Lai et al. (2011) [46] |
Stakeholder-Driven Sustainability Policies | Policies designed to engage stakeholders, utilizing stakeholder theory, planned behavior theory, and resource dependence theory to encourage sustainable behavior in shipping firms through direct and indirect influences. | Yuen et al. (2017) [44] |
Quantitative Policy Impact Assessments | Policies necessitating quantitative assessments of how green initiatives influence environmental and economic performance, employing interdisciplinary methodologies including mathematical modeling and scenario analyses. | Shi et al. (2018) [55] |
Zero-Carbon Fuel Transition Policies | Policies promoting adoption of alternative marine fuels (especially hydrogen and ammonia) with incentives for infrastructure investments, technological maturity, and addressing economic feasibility to achieve emission reduction targets by 2050. | Xing et al. (2021) [31]; Nguyen et al. (2023) [50] |
Voluntary Initiative Support Policies | Economic and regulatory policies designed to support and incentivize corporate voluntary sustainability measures (e.g., electrification and vessel retrofitting), overcoming initial investment barriers and promoting widespread adoption. | Christodoulou and Cullinane (2021) [51] |
Collaborative Governance Policies | Policies that foster integrated operational cooperation between ports and shipping companies, including optimized berth allocation, adjusted sailing speeds, and coordinated scheduling for emission reductions. | Wang et al. (2023) [41] |
Flexible Investment Decision Policies | Policies employing strategic decision support tools (e.g., real options analysis—ROA) to address financial and market uncertainties in investment decisions for sustainable technologies, encouraging timely and informed investment choices. | Acciaro (2014a, 2014b) [48,54] |
Transnational Environmental Governance Policy | Policies enhancing international regulatory coordination through orchestration, balancing direct and indirect regulatory tools and soft and hard governance approaches involving state and non-state actors to address environmental governance challenges effectively. | Lister et al. (2015) [45] |
Strategic Operational Emission Reduction Policy | Policies that emphasize strategic and operational initiatives, including slow steaming, idle status management, and operational speed optimization, alongside regulatory compliance frameworks to achieve measurable emission reductions. | Chen et al. (2019) [57]; Yan et al. (2020) [47] |
Technological Innovation and Adoption Policies | Policies supporting investment in innovative energy-efficient technologies (e.g., waste heat recovery systems), employing detailed feasibility and economic performance analysis to encourage technology uptake and sustainability in maritime operations. | Baldi and Gabrielli (2015) [52]; Baldi et al. (2018) [58] |
Technology Adaptation Name | Technology Adaptation Definition | Reference |
---|---|---|
Zero-Carbon Synthetic Fuels | Adoption of hydrogen and ammonia as zero-carbon synthetic fuels for maritime transport, primarily for domestic and short-sea shipping, characterized by high energy density by mass and favorable environmental profiles despite storage and infrastructure challenges. | Xing et al. (2021) [31]; Nguyen et al. (2023) [50] |
Biofuel Hybrid Configurations | Utilization of biofuels blended with conventional fuels, offering commercial attractiveness due to emission reductions, despite challenges like feedstock availability, high production costs, and compatibility issues. | Nguyen et al. (2023) [50] |
Waste Heat Recovery (WHR) Systems | Installation of WHR systems onboard vessels, capable of recovering and converting waste heat into usable energy, achieving realistic fuel savings between 5% and 15%, thus significantly reducing both environmental impacts and operational costs. | Baldi and Gabrielli (2015) [52] |
Energy and Exergy Analysis Systems | Utilization of detailed onboard energy and exergy analyses to identify inefficiencies within propulsion, auxiliary, and heat recovery systems, guiding technological upgrades to enhance overall vessel energy efficiency. | Baldi et al. (2018) [58] |
Intelligent Energy Management Systems | Deployment of advanced energy management technologies, including intelligent monitoring and optimized operational controls for vessel energy use, enabling precise energy efficiency improvements, emissions reduction, and cost management. | Nguyen et al. (2023) [50] |
Optimized Fuel Storage Solutions | Strategic utilization and optimization of onboard fuel storage systems, notably cryogenic storage for hydrogen and ammonia, to overcome the storage constraints posed by these fuels’ volumetric energy density, enhancing their feasibility for long-distance maritime voyages. | McKinlay et al. (2021) [56] |
Low-Pressure Dual-Fuel LNG Systems | Utilization of low-pressure dual-fuel LNG systems onboard ships as a cleaner alternative to conventional marine fuel oils, significantly reducing environmental impacts and overall sustainability footprint, while maintaining acceptable operational and economic feasibility. | Iannaccone et al. (2020) [35] |
Fuel Optimization through Speed Management | Implementation of speed optimization techniques based on predictive modeling (e.g., machine learning), optimizing fuel consumption and significantly reducing CO2 emissions by adjusting sailing speeds according to environmental conditions and operational requirements. | Yan et al. (2020) [41] |
Optimized Storage and Operational Practices | Application of operational optimizations such as reducing unnecessary fuel carriage, thus enhancing vessel performance by adjusting fuel storage closer to actual consumption requirements, reducing onboard fuel mass and volume, and consequently enhancing efficiency. | McKinlay et al. (2021) [56] |
Onshore Power Supply (OPS) and Electrification | Adoption of electrification initiatives, including shore-to-ship power supplies, vessel electrification, and integration of hybrid propulsion systems, significantly decreasing the environmental impacts of port operations and vessel energy consumption. | Christodoulou and Cullinane (2021) [51] |
Cruise Ship Energy System Optimization | Detailed onboard energy and exergy analyses to identify inefficiencies in cruise ships’ propulsion, heat, and electrical systems, supporting targeted interventions for improved sustainability through advanced measurement and modeling approaches. | Baldi et al. (2018) [58] |
Stakeholder Collaboration Mechanism Name | Stakeholder Collaboration Mechanism Definition | Reference |
---|---|---|
Stakeholder Pressure and Behavioral Influence | Stakeholders exert pressure on shipping firms influencing attitudes and behavioral controls, driving the adoption of sustainable practices directly and indirectly, enhancing overall business performance. Particularly effective in bulk shipping and larger shipping firms. | Yuen et al. (2017) [44] |
Cross-Functional Corporate Integration | Collaboration mechanism involving integration of multiple organizational functions and processes, ensuring widespread adoption and successful implementation of green shipping practices (GSPs). | Lai et al. (2011) [46] |
Shipper–Carrier Cooperation | Active collaboration between shippers and carriers to reduce environmental impacts, enhance operational efficiency, and jointly adopt green shipping practices, involving alignment with customer demands and industry standards. | Lai et al. (2011) [46] |
Interfirm Relationship Management | Collaborative framework including relational governance, contractual agreements, and effective communication channels among multiple organizations, facilitating effective sustainable shipping management and resource exchange. | Yuen et al. (2019) [53] |
Organizational Learning Resources | Cross-stakeholder mechanism involving shared knowledge exploitation and exploration, enhancing inter-organizational learning, continuous improvement, and effective application of sustainability strategies within shipping companies. | Yuen et al. (2019) [53] |
Collaborative Governance | Structured cooperation mechanism between ports, shipping companies, and regulatory bodies, involving operational integration such as optimized berth allocation, coordinated scheduling, and adjusted sailing speeds to achieve substantial emission reductions and improved operational efficiencies. | Wang et al. (2023) [41] |
Voluntary Corporate Sustainability Initiatives | Stakeholder-driven voluntary initiatives integrated into Corporate Social Responsibility (CSR) strategies to proactively address sustainability challenges, including vessel electrification, methanol conversion, and onshore power supply, encouraged by targeted regulatory incentives and supportive collaboration. | Christodoulou and Cullinane (2021) [51] |
Customer Engagement and Loyalty Development | Collaborative interactions among shipping operators, logistics providers, and customers, focused on creating tangible economic, emotional, quality, and social benefits to foster sustained customer loyalty and stakeholder commitment through sustainable shipping practices. | Yuen et al. (2018) [49] |
Institutional Collaboration Framework | Mechanism grounded in institutional theory comprising coercive (regulatory), normative (industry standards), and mimetic (market-driven) pressures to collaboratively ensure broad adoption of sustainable shipping practices across maritime sectors. | Lai et al. (2011) [46] |
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Jugović, A.; Sirotić, M.; Jugović, T.P.; Žgaljić, D. Green Shipping Corridors: A Bibliometric Analysis of Policy, Technology, and Stakeholder Collaboration. Appl. Sci. 2025, 15, 3304. https://doi.org/10.3390/app15063304
Jugović A, Sirotić M, Jugović TP, Žgaljić D. Green Shipping Corridors: A Bibliometric Analysis of Policy, Technology, and Stakeholder Collaboration. Applied Sciences. 2025; 15(6):3304. https://doi.org/10.3390/app15063304
Chicago/Turabian StyleJugović, Alen, Miljen Sirotić, Tanja Poletan Jugović, and Dražen Žgaljić. 2025. "Green Shipping Corridors: A Bibliometric Analysis of Policy, Technology, and Stakeholder Collaboration" Applied Sciences 15, no. 6: 3304. https://doi.org/10.3390/app15063304
APA StyleJugović, A., Sirotić, M., Jugović, T. P., & Žgaljić, D. (2025). Green Shipping Corridors: A Bibliometric Analysis of Policy, Technology, and Stakeholder Collaboration. Applied Sciences, 15(6), 3304. https://doi.org/10.3390/app15063304