CV | Haotian Zheng

Research profile

I am an environmental macroeconomist developing a research agenda on how growth, technological change, and public policy interact under multiple environmental constraints. My work combines dynamic general equilibrium modelling, mathematical analysis, and numerical simulation with firm- and city-level policy evaluation.

Research fields: environmental macroeconomics; directed technical change; endogenous growth; climate and environmental policy; circular economy and recycling; innovation and AI diffusion.

Professional experience

Jun 2022–Present

Young Researcher (part-time)

Macroeconomic Research Center, China Wealth Management 50 Forum, Beijing

Contributes to macroeconomic research based on economic data, academic literature, policy documents, meeting evidence, and expert discussion.

Education

Sep 2021–Jun 2026

PhD in Economics, Industrial Economics

School of Economics, Nankai University

Entered the PhD directly after completing the bachelor’s degree. Supervisor: Professor Maochu Zhong.

The Multi-Subsystem Environmental Constraints and Endogenous Economic Growth: A Directed Technical Change Approach

Sep 2017–Jun 2021

Bachelor of Management, Management Science and Engineering

Business School, Nankai University

Overall grade: 90.33/100; ranked 1st among 21 students.

Peer-reviewed publications

Zheng, H., Qi, Y., & Jing, K. (2026). The circular economy and sustainable growth: based on directed technical change (opens in a new tab). Applied Economics Letters, advance online publication, 1–7.

First author. The public supplementary materials provide mathematical proofs, numerical materials, and code.
Zheng, H., Zhang, C., & Zhang, X. (2025). Will carbon emission trading scheme affect industrial investment? Evidence from China’s listed companies (opens in a new tab). Applied Economics, 57(34), 5148–5163.

First author. The public supplementary materials provide the analysed data and code.
Jing, K., Liu, B., & Zheng, H. (2026). From policy pilots to green transformation: multidimensional evidence of how STF policies impacts the enhancement of urban green competitiveness (opens in a new tab). Applied Economics, advance online publication, 1–16.

Open science: Both first-authored publications provide public supplementary materials. The empirical study shares the analysed data and code; the theoretical study shares mathematical proofs, numerical materials, and code.

Working papers and work in progress

Neutral taxation and clean transition: A perspective of directed technical change

Xinwu Liu, Haotian Zheng, and Caiyun Zhang. Working paper.

Second and corresponding author. Designed the research framework, developed the theoretical model and mathematical derivations, and prepared the initial manuscript.

How AI Flows Through the Supply Chain

Haotian Zheng. Sole-authored work in progress.

A continuous-time multilayer supply-chain model of AI-driven productivity, automation, production, and monopoly-profit allocation. Model specification and equilibrium conditions are complete; profit comparisons are in progress and numerical simulations are planned.

Doctoral dissertation

The Multi-Subsystem Environmental Constraints and Endogenous Economic Growth: A Directed Technical Change Approach

Doctoral dissertation, Nankai University, 2026. Sole author.

Develops a dynamic general equilibrium model of directed technical change with multiple environmental subsystems, clean-technology non-carbon burdens, nonlinear environmental damage, and regeneration capacity that deteriorates as pressure accumulates. The analysis covers decentralised and planner allocations, implementation policy, transition dynamics, cycles, and sensitivity.

Participation in funded research projects

2023–2025

State Capacity in Promoting Economic Catch Up: Stylised Facts, Theoretical Logic and China’s Experience

National Social Science Fund of China General Project, 23BJL082

Principal Investigator: Professor Jinxing Guo.

Participating researcher; proposal preparation and literature review.

2021–2026

Research on Major Issues in External Work Related to Carbon Peak and Carbon Neutrality

National Social Science Fund of China Major Research Special Project, 21VGQ016

Chief Expert: Professor Maochu Zhong.

Participating researcher; first author of six policy reports coauthored with Professor Maochu Zhong.

2021–2025

Research on Policy Orientation for Promoting Green Development and Harmonious Coexistence between Humanity and Nature

National Social Science Fund of China Key Project, 21AZD058

Principal Investigator: Professor Maochu Zhong.

Participating researcher; proposal preparation and literature review.

Selected policy and applied research

Nine environmental, energy, and economic policy reports coauthored with Professor Maochu Zhong. Six were first-authored; report titles may be disclosed, while the full texts are not public.

2025 Recommendations for Developing the Circular Economy
2025 Recommendations for Expanding High-Quality Supply and Stimulating High-End Domestic Demand
2024 U.S. Energy Transition Pathways and Their Far-Reaching Implications for China’s Energy-Related Industries: Evidence from Priority R&D Directions in the U.S. Energy System
2024 Recommendations on Technological Advantage and New Energy Subsidies
2023 Policy Recommendations for Revitalising, Expanding and Making Better Use of the Tianjin Climate Exchange
2023 Recommendations for Adjusting Environmental Targets in Response to Trade Protectionism
2023 Recommendations for Establishing a Carbon Cooperation Organisation
2023 Recommendations for Accelerating the Development of China’s National Carbon Market
2022 Comparative Analysis of Energy-Mix Characteristics in China and Major Economies

Selected CWM50 macroeconomic policy reports

2024 Economic Outlook for 2024 and Policy Recommendations
2023 China’s Expected Economic Growth Target for 2023 and Policy Recommendations
2022 Analysis of the Economic Situation in the Third Quarter, Short Term Problems and Risks, and Related Recommendations

Named coauthor and initial drafter. Full reports are not public.

AI Technological Progress and the Logic of Technology Valuation: A Two-Stage Interaction between Real Interest Rates and Corporate Profits

Chinese-language independent macro-financial research project.

U.S. Treasury Yield Curve Inversion and Asset Allocation across Major Asset Classes

Unpublished Chinese-language research discussion report, 30 pages, completed 2 July 2026. Sole named author and principal drafter. Dr Bo Liao contributed substantively to revisions of the analytical framework and analysis.

Selected academic translations

I independently prepared the initial translation of each assigned chapter. The published text was subsequently revised by the volumes’ translators, and my contribution is acknowledged in each translator’s afterword.

2025 Chapter 13, “Reinventing Political Economy,” in Robert Skidelsky, Money and Government.
2022 Chapter 7, “Public Finance,” in Takatoshi Ito and Takeo Hoshi, The Japanese Economy, 2nd ed.
2022 Chapter 5, “Behavioral Policies,” in Diane Coyle, Markets, State, and People.

Prizes and scholarships

2024 National Scholarship for Doctoral Students, Ministry of Education of China
2022–2023 Second Class Gongneng Scholarship for Graduate Students, Nankai University
2021–2022 Postgraduate Recommendation Admission Scholarship, Nankai University
2021–2022 Second Class Gongneng Scholarship for Graduate Students, Nankai University
2020–2021 Scholarship for Academic Excellence, Nankai University
2020–2021 Innovation Scholarship, Nankai University

University service

2021–2022

Deputy Director, Career Development Department

Doctoral Students’ Association, School of Economics, Nankai University

Methods, software, and languages

Theory and numerical methods: dynamic general equilibrium modelling, directed technical change, endogenous growth, dynamic optimisation, stability and cycle analysis, comparative statics, forward iteration, and numerical simulation.

Empirical methods: panel econometrics, staggered difference-in-differences, extended two-way fixed effects, propensity-score matching, mediation analysis, placebo tests, and stacked regressions.

Software: Python and Stata; coursework in C and C++.

Languages: Chinese Mandarin (native); English (fluent).