Jingyang (Jerry) Song

Integrated assessment · Energy systems · Industrial ecology

I am a PhD researcher in Environmental Management at Peking University. My research examines climate mitigation pathways, with a focus on the links between material demand, industrial production, and energy systems.

I use integrated assessment modelling, energy-system optimization, and dynamic material flow analysis to study how technology choices and demand-side strategies affect emissions and resource use. My work includes applications to cement, concrete, and the built environment.

Previously, I studied Environmental Management and Economics at Nankai University and Economics and Policy of Energy and the Environment at University College London. I publish as Jingyang Song.

Research interests

  • Integrated assessment modelling. Climate mitigation scenarios and energy–environment–economy interactions, including applications of GCAM.
  • Industrial decarbonization. Technology pathways and demand-side strategies for material production.
  • Industrial ecology. Material stocks and flows, resource efficiency, and their connections to energy systems.

Publications

All publications

Integrating Stock-Flow Modeling and Energy System Optimization to Explore Decarbonization Pathways for China’s Cement Industry

Song, J., Su, X., Hou, L., Chu, C., Wu, T., Dai, H., Ou, Y., Nishiura, O., Cao, Z., & Ju, M.

Environmental Science & Technology, 59(14), 6938–6948 ·

DOI: Integrating Stock-Flow Modeling and Energy System Optimization to Explore Decarbonization Pathways for China’s Cement Industry Details: Integrating Stock-Flow Modeling and Energy System Optimization to Explore Decarbonization Pathways for China’s Cement Industry
Summary: Integrating Stock-Flow Modeling and Energy System Optimization to Explore Decarbonization Pathways for China’s Cement Industry

Combining stock-flow analysis with energy-system optimization, this study examines material-efficiency and technology pathways for decarbonizing China’s cement industry. It finds that lower material demand can substantially reduce reliance on upstream low-carbon technologies.

Does industrial agglomeration affect the regional environment? Evidence from Chinese cities

Hao, Y., Song, J., & Shen, Z.

Environmental Science and Pollution Research, 29, 7811–7826 ·

DOI: Does industrial agglomeration affect the regional environment? Evidence from Chinese cities Details: Does industrial agglomeration affect the regional environment? Evidence from Chinese cities
Summary: Does industrial agglomeration affect the regional environment? Evidence from Chinese cities

This study examines the impact of industrial agglomeration on the regional environment using panel data from 13 cities in the Beijing-Tianjin-Hebei region (1998–2018). Results reveal spatial autocorrelation in pollution levels, with manufacturing agglomeration worsening pollution, service agglomeration mitigating it, and synergistic agglomeration exhibiting an inverted U-shaped relationship with environmental pollution.

Code & resources

All resources
  • GCAM HPC workflows

    A documented PKU cluster workflow for building GCAM, running scenario ensembles, querying outputs, and consolidating results.

  • Provincial cement demand with dynamic MFA

    A collaborative modelling example using historical cement production to explore future provincial demand in China.

Contact

For questions about my research or potential collaborations, please contact jerrysong0128@gmail.com or connect on LinkedIn.