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.
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.
Author(s) | Title | Publisher |
---|---|---|
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 |
Ådland, Roar Os; Jia, Haiying; Strandenes, Siri Pettersen | Are AIS-based trade volume estimates reliable? The case of crude oil exports | Maritime Policy & Management Volume 44 (5); page 657 - 665; 2017 |
Ådland, Roar Os; Fonnes, Gro; Jia, Haiying; Daae Lampe, Ove; Strandenes, Siri Pettersen | The impact of regional environmental regulations on empirical vessel speeds | Transportation Research Part D: Transport and Environment Volume 53; page 37 - 49; 2017 |
Jia, Haiying; Daae Lampe, Ove; Šoltészová, Veronika; Strandenes, Siri Pettersen | An automatic algorithm for generating seaborne transport pattern maps based on AIS | Maritime Economics & Logistics Volume Published ahead of print; page 1 - 12; 2017 |
Jia, Haiying; Daae Lampe, Ove; Šoltészová, Veronika; Strandenes, Siri Pettersen | Norwegian port connectivity and its policy implications | Maritime Policy & Management Volume 44 (8); page 956 - 966; 2017 |
Ådland, Roar Os; Jia, Haiying | Simulating physical basis risks in the Capesize freight market | Maritime Economics & Logistics Volume 19 (2); page 196 - 210; 2017 |
Main: Shipping, Logistics and Operations Management
Secondary: Energy Markets, Resource Management and Sustainability
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.
The article "The value of meteorological data in marine risk assessment" has been published in Reliability Engineering & System Safety.
The article "Well-to-tank carbon emissions from crude oil maritime transportation" has been published in Transportation Research Part D: Transport and Environment.