Overview

About me

Hello, and welcome to my homepage! I am a PhD student in Management Science and Engineering at the Business School, Central South University. My research focuses on resource allocation optimization, carbon emissions reduction, and carbon market management.

I have a solid theoretical foundation in operations research, game theory, data envelopment analysis (DEA), deep learning, and social network analysis. My research toolkit includes Python programming, the Gurobi optimizer, scientific plotting and mapping with Origin and ArcGIS, and Microsoft Office.

In recent years, I have published three SCI- or SSCI-indexed papers in Transportation Research Part D: Transport and Environment, Environment, Development and Sustainability, and Sustainability. I also have manuscripts under revision at European Journal of Operational Research, Omega, Systems Engineering — Theory & Practice, and Operations Research and Management Science. In addition, I serve as an anonymous reviewer for Humanities and Social Sciences Communications.

My current and future work will explore robust optimization models for resource allocation under uncertain technological progress, supply-chain collaboration in emissions compliance and mitigation of compliance risks, and pathways for introducing paid allocation in carbon markets. I warmly welcome academic guidance, discussion, and opportunities for collaboration.

Education

  1. Sep 2018 – Jun 2022

    Yanbian University

    China’s Project 211 university · Double First-Class disciplines

    Logistics Management · Undergraduate programme

    Four-year programme · Bachelor of Management awarded

  2. Sep 2022 – Jun 2025

    Beijing Technology and Business University

    Logistics Engineering and Management · Master’s programme

    Three-year programme · Professional Master of Engineering awarded

  3. Sep 2025 – Present

    Central South University

    China’s Project 985 university · Double First-Class university

    Management Science and Engineering · Doctoral programme

    Four-year programme · PhD in Management (expected)

Research interests

  1. Resource allocation optimization

    Centralized allocation of scarce resources and target setting for public-sector organizations and corporate groups; game-theoretic equilibrium allocation in decentralized settings.

  2. Evaluation theory and methods

    DEA-based efficiency and productivity evaluation.

  3. Carbon emissions reduction management

    Analysis of carbon emissions reduction potential and assessment of carbon emission pressure.

  4. Optimization of carbon market mechanisms

    Carbon emission allowance allocation, the introduction of paid allocation, and optimization of compliance mechanisms.

Publications

Published papers

[1] Liu, Z., Xiong, H., & Yang, G. L. (2025). Transportation sector’s carbon emission pressure in Chinese provinces during carbon peak. Transportation Research Part D: Transport and Environment, 141, 104606. (ESI top 1% highly cited paper)

[2] Xiong, H., & Liu, Z. (2025). Allocation of fossil energy consumption in Chinese provinces based on improved centralized DEA: H. Xiong and Z. Liu. Environment, Development and Sustainability, 1–29.

[3] Liu, Z., Xiong, H., & Sun, Y. (2023). Will online MOOCs improve the efficiency of Chinese higher education institutions? An empirical study based on DEA. Sustainability, 15(7), 5970.

Manuscripts under revision

[4] Chu, J., Liu, Z., Feng, M., Wang, W., & Li, F. Data envelopment analysis carbon emission permit allocation under cap-and-trade mechanism: a general analytical framework and a game approach. European Journal of Operational Research. Major revision, round 2.

[5] Chu, J., Liu, Z., Wang, W., & Ren, S. DEA-based centralized resource allocation balancing target incentives and attainability. Omega. Major revision, round 2.

Life beyond research

  • A badminton racket and shuttlecockBadminton
  • A swimmerSwimming
  • A running shoeRunning
  • A bicycleCycling
  • A suitcase and travel mapTravel
  • A small West Highland White TerrierPets

CV

Click to download my CV.