Wenming Shi

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Lecturer

University of Tasmania Australian Maritime College

Australia

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About

Dr. Wenming Shi is a Lecturer at the University of Tasmania Australian Maritime College in Australia. His research interests encompass corporate financial risk, inbound tourism demand forecasting, and sustainable development through carbon emission analysis. Recent articles highlight his work on machine learning applications in maritime inspections and investment decision analysis in shipping projects. He also explores the implications of economic policy uncertainty on tourism responsiveness and evaluates blockchain adoption barriers in the logistics industry.

Recent Grants

Grant: Close

Connectivity and Efficiency of Korean International Logistic System

Open Date: 2014-09-01

Close Date: 2017-08-01

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Collaborators (13)

Vipul Jain

Victoria University of Wellington

NEW ZEALAND

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Yiik Diew WONG

Associate Chair (Academic); Associate Professor

Nanyang Technological University (NTU)

SINGAPORE

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Mona Koushan

Lecturer

University of Canterbury

NEW ZEALAND

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Shu-Ling Chen

Associate Professor

University of Tasmania

AUSTRALIA

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zhuohua qu

Reader

Liverpool John Moores University Liverpool Business School

UNITED KINGDOM

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Hossein Enshaei

Senior Lecturer

University of Tasmania Launceston Campus

AUSTRALIA

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Chia-Hsun Chang

Senior Lecturer

Liverpool John Moores University

UNITED KINGDOM

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Khandaker Rasel Hasan

Lecturer in Procurement and Logistics Management

Australian Maritime College

AUSTRALIA

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Christos A. Kontovas

Senior Lecturer

Liverpool John Moores University

UNITED KINGDOM

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Wei (Vera) Zhang

Lecturer

University of Tasmania Australian Maritime College

AUSTRALIA

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JINGEN ZHOU

Assistant Professor

Kedge Business School

FRANCE

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Qing Liu

Universität Hamburg

GERMANY

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Hongjun Fan

AUSTRALIA

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Wenming Shi

Research Interests

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About

Recent Grants

Articles (25)

Can ESG advantages mitigate corporate financial risk? New empirical evidence from Chinese listed companies

Improving the forecasting of inbound tourism demand based on the mixed-frequency data sampling approach: evidence from Australia

Exploring the Carbon Emission Transfers Pathway to Address the Issue of Sustainable Development: A Multi-Regional Input-Output Perspective

Machine learning approaches for identifying substandard ships in port state control inspections with imbalanced data

Shipping news sentiment as a predictor of iron ore freight rates: Hybrid evidence from lexicon-based analysis and threshold autoregression modelling

Investment decision analysis of shipping desulfurization project based on a fuzzy real option approach

Opportunities and Challenges of Hydrogen Ports: An Empirical Study in Australia and Japan

Evaluating the barriers of blockchain adoption in the Australian logistics industry

Interpreting the influential factors in ship detention using a novel random forest algorithm considering dataset imbalance and uncertainty

Heterogeneous impacts of the high-speed railway network on urban-rural income disparity: Spatiotemporal evidence from Yangtze River Delta of China

Unveiling the mystery of the responsiveness of inbound tourism to economic policy uncertainty: New evidence from Australia

Exchange rate stability and expectation management under heterogeneous expectations

A review on ports’ readiness to facilitate international hydrogen trade

A Sustainable Port-Hinterland Container Transport System: The Simulation-Based Scenarios for CO2 Emission Reduction

An investigation on consumers' preferences for parcel deliveries: applying consumer logistics in omni-channel shopping

Uncovering the mystery of financial development in mitigating CO2 emissions in China: A spatial dependence and heterogeneity perspective

Corrigendum to “Spatial distribution of job opportunities in China: Evidence from the opening of the high-speed rail” [Transp. Res. Part A: Policy Pract. 133 (2020) 138–147]

Corrigendum to “Spatial spillover effects of logistics infrastructure on regional development: Evidence from China” [Transp. Res. Part A: Policy Pract. 135 (2020) 96–114]

Factor assessment of hazardous cargo ship berthing accidents using an ordered logit regression model

Carbon emission allowance allocation based on a bi-level multi-objective model in maritime shipping

Cruise supply chain risk mitigation strategies: An empirical study in Shanghai, China

The impacts of COVID-19 on the cruise industry based on an empirical study in China

A belief rule-based bayesian network approach for assessing risks in the cruise supply chain: an empirical study in Shanghai, China

Maritime cybersecurity: are onboard systems ready?

Quantitative modelling of shipping freight rates: developments in the past 20 years

Collaborators (13)

Vipul Jain

Yiik Diew WONG

Mona Koushan

Shu-Ling Chen

zhuohua qu

Hossein Enshaei

Chia-Hsun Chang

Khandaker Rasel Hasan

Christos A. Kontovas

Wei (Vera) Zhang

JINGEN ZHOU

Qing Liu

Hongjun Fan

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