Exploring the future of shipping
`For researchers to make a difference, we need to stay connected to the challenges the industry is facing in the real world´, Professor Haiying Jia says.
Professor Haiying Jia
- Haiying.Jia@nhh.no
- Telephone
- +47 55 95 97 51
- Department
- Business and Management Science
- Centre
- Shipping and Logistics
- Office
- C410
- Expertise
- International Business Shipping, transport and logistics Sustainability Finance
Haiying Jia holds a PhD in Finance from Bayes Business School, United Kingdom. Prof. Jia started out as an investment analyst in the finance industry in London in the early stage of her career before joining the Center for Applied Research (SNF) at NHH in 2014 and the Department of Business and Management Science at NHH from 2019. Jia has been a visiting scholar at the Massachusetts Institute of Technology in 2018/19 and a visiting professor at the University of Tokyo in 2022 (Fall).
Jia is responsible for the courses in Ship Finance and Marine Insurance (FIE460) and Maritime Economics (FOR18). Jia’s research interests include sustainable investment, big data analysis in shipping, and global trade. Jia has published extensively in the areas of energy efficiency, shipping emissions and operational behavior, risk assessment, and trade predictions in top academic journals.
Selected publications
| Author(s) | Title | Publisher |
|---|---|---|
| Wang, Shuang; Jia, Haiying; Lu, Jing; Yang, Dong | Crude oil transportation route choices: A connectivity reliability-based approach | Reliability Engineering & System Safety Volume 235 (11 pages); 2023 |
| Jia, Haiying | Multilevel analysis of bulk shipping fleet productivity: a big data approach | Maritime Policy & Management; 2023 |
| Bai, Xiwen; Jia, Haiying; Xu, Mingqi | Identifying port congestion and evaluating its impact on maritime logistics | Maritime Policy & Management (18 pages); 2022 |
| Tran, Nguyen Khoi; Lam, Jasmine Siu Lee; Jia, Haiying; Ådland, Roar Os | Emissions from container vessels in the port of Singapore | Maritime Policy & Management Volume 22 (3); page 306 - 322; 2021 |
| Ådland, Roar Os; Jia, Haiying; Harvei, Hans Christian Olsen; Jørgensen, Julius | Second-hand vessel valuation: an extreme gradient boosting approach | Maritime Policy & Management; 2021 |
| Ådland, Roar Os; Jia, Haiying; Lode, Tønnes Berg; Skontorp, Jørgen | The value of meteorological data in marine risk assessment | Reliability Engineering & System Safety Volume 209 (10 pages); 2021 |
| Cariou, Pierre; Lindstad, Elizabeth; Jia, Haiying | The impact of an EU maritime emissions trading system on oil trades | Transportation Research Part D: Transport and Environment Volume 99; 2021 |
| Bai, Xiwen; Jia, Haiying; Xu, Mingqi | Port congestion and the economics of LPG seaborne transportation | Maritime Policy & Management; 2021 |
| Bai, Xiwen; Xu, Mingqi; Jia, Haiying | A Dynamic Feedback System Analysis on the Mechanism of Shipping Freight | IEEE International Conference on Industrial Engineering and Engineering Management; 2021 |
| Jia, Haiying; Ådland, Roar Os; Wang, Yuchen | Latin American Oil Export Destination Choice: A Machine Learning Approach | IEEE International Conference on Industrial Engineering and Engineering Management; page 345 - 348; 2020 |
| Jia, Haiying; Ådland, Roar Os; Wang, Yuchen | Global Oil Export Destination Prediction: A Machine Learning Approach | Energy Journal Volume 42 (4); page 111 - 130; 2020 |
| Greene, Suzanne; Jia, Haiying; Rubio-Domingo, Gabriela | Well-to-tank carbon emissions from crude oil maritime transportation | Transportation Research Part D: Transport and Environment Volume 88; 2020 |
| Jia, Haiying; Lam, Jasmine Siu Lee; Tran, Nguyen Khoi | Spatial variation of travel time uncertainty in container shipping | Transportation Research Procedia Volume 48; page 1740 - 1749; 2020 |
| Yang, Dong; Wu, Lingxiao; Wang, Shuaian; Jia, Haiying; Li, Kevin X. | How big data enriches maritime research – a critical review of Automatic Identification System (AIS) data applications | Transport reviews Volume 39 (6); page 755 - 773; 2019 |
| Ådland, Roar Os; Jia, Haiying | Contractual Barriers and Energy Efficiency in the Crude Oil Supply Chain | IEEE International Conference on Industrial Engineering and Engineering Management; page 6 - 10; 2019 |
| Jia, Haiying; Prakash, Vishnu; Smith, Tristan | Estimating vessel payloads in bulk shipping using AIS data | International Journal of Shipping and Transport Logistics Volume 11 (1); page 25 - 40; 2019 |
| Ådland, Roar Os; Cariou, Pierre; Jia, Haiying; Wolff, Francois-Charles | The energy efficiency effects of periodic ship hull cleaning | Journal of Cleaner Production Volume 178; page 1 - 13; 2018 |
| Jia, Haiying | Crude oil trade and green shipping choices | Transportation Research Part D: Transport and Environment Volume 65; page 618 - 634; 2018 |
| Ådland, Roar Os; Alger, Harrison Marshall; Banyte, Justina; Jia, Haiying | Does fuel efficiency pay? Empirical evidence from the drybulk timecharter market revisited | Transportation Research Part A: Policy and Practice Volume 95; page 1 - 12; 2017 |
| Jia, Haiying; Ådland, Roar Os; Prakash, Vishnu; Smith, Tristan | Energy efficiency with the application of virtual arrival policy | Transportation Research Part D: Transport and Environment Volume 54; page 50 - 60; 2017 |
RESEARCH AREAS AT THE DEPARTMENT
Main: Shipping, Logistics and Operations Management
Secondary: Energy Markets, Resource Management and Sustainability
Dissemination
CSL Participates at the International Association of Maritime Economist Conference in Valencia and starts counting to host next year's conference
On the sunny city of Valencia in Spain, members of the Centre of Shipping and Logistics (CSL) had the opportunity to participate and present their research findings at the International Association of Maritime Economists (IAME) 2024 Conference.
New article by Jia and Azevedo
The article "Green premium and the role of financial investors in sustainable investment in container shipping" has been published in Transportation Research Part E: Logistics and Transportation Review.
New article by Jia
The article "Navigating uncertainty: A dynamic Bayesian network-based risk assessment framework for maritime trade routes" has been published in Reliability Engineering & System Safety.
Top publication by Haiying Jia
The article "How do navy escorts influence piracy risk in East Africa? A Bayesian network approach" has been published in Risk Analysis.
New article by Jia
The article "Crude oil transportation route choices: A connectivity reliability-based approach" has been published in Reliability Engineering & System Safety.
From finance in London to shipping professor at NHH
Haiying Jia was recently appointed full professor at NHH. She is an expert on shipping and finance. During her PhD in UK, she worked as an investment analyst in London.
New article by Jia
The article "The impact of an EU maritime emissions trading system on oil trades" has been published in Transportation Research Part D: Transport and Environment.
New article by Ådland and Jia
The article "The value of meteorological data in marine risk assessment" has been published in Reliability Engineering & System Safety.
New article by Jia
The article "Well-to-tank carbon emissions from crude oil maritime transportation" has been published in Transportation Research Part D: Transport and Environment.