Research

  • Notice! Recently, I discovered that some researchers have plagiarized my papers, including translating them into Chinese. Therefore, I have decided to stop uploading my working papers to the internet until they are accepted by a journal.
  • Publications
    • “From Consumption to Production: A Generalized Model of Growth for the Data Economy”, with Danxia Xie, Corresponding author, conditionally accepted by Scandinavian Journal of Economics, 2026.
      • Working paper version: SSRN #4033576.
      • We propose a generalized model of growth in the data economy, highlighting the characteristics describing a spectrum of data types that can lead to different long-term effects.
    • “Contagion, Migration, and Misallocation in a Pandemic”, with Qing Chang, Ke Tang, and Danxia Xie, Corresponding author, Journal of Health Economics, 2026, 109, 103175.
      • Working paper version: SSRN #3779278
      • Publication version: Journal of Health Economics
      • We propose a general equilibrium model with endogenous migration during important public health events, and analyse the conditions where restricting policies are suitable.
    • “The Economic Effects and Governance of Cross-Border Data Flows” (in Chinese, 数据跨境流动的经济效应和治理), with Liyong Wang, Qing Chang, and Jinglei Huang, third author, Journal of Central University of Finance & Economics (中央财经大学学报), 2026, 7, 5-19.
      • Publication version: Journal of Central University of Finance & Economics
      • We systematically review the research progress on cross-border data flows in both Chinese and international literature, focusing on three main dimensions: the fundamental connotation and measurement approaches, the economic effects, and the governance.
    • “Cross-Border Data Flows and Economics Growth: Theoretical Framework and Empirical Evidence” (in Chinese, 数据跨境流动与经济增长：理论框架与实证证据), with Liyong Wang, Qing Chang, and Jinglei Huang, corresponding author, Economic Research Journal (经济研究), 2026, 2, 119-141.
      • Publication version: Economic Research Journal
      • We provide an N-country model of the data economy and some empirical evidences on the relationship between cross-border data flows and economic growth.
      • This paper was selected for full-text reprint in the Copy Press of Renmin University of China.
    • “Endogenous Growth and Human Capital Accumulation in a Data Economy”, with Qing Chang and Mengtao Wu. Structural Change and Economic Dynamics, 2024, 69, 298-312.
      • Working paper version: SSRN #4248918
      • Publication version: Structural Change and Economic Dynamics
      • 2024 ESI Highly Cited Paper in Economics & Business
      • We propose an endogenous growth model that illustrates the policy effects of data when incorporated into human capital accumulation.
    • “Research on a New Mode of Human Capital Accumulation in the Digital Economy” (in Chinese, 数字经济背景下的人力资本积累新模式探究), Corresponding author, with Mengtao Wu and Kangping Wu. China Journal of Economics (经济学报), 2023, 10(2), 1-27.
      • Publication version: China Journal of Economics
      • We propose a short-run dynamic general equilibrium model to demonstrate the effects of data on human capital accumulation.
    • “The Evolution of Monetary Rules with Financial Stability Consideration”, with Yao Hou, Rong Li, Danxia Xie, and Qingquan Zhang. Applied Economics, 2023, 55(45), 5267-5286.
      • Working paper version: SSRN #3731159
      • Publication version: Applied Economics
      • We compare the differing attitudes towards financial stability in determining monetary policy rules between China and the United States.
    • “Endogenous Growth Under Multiple Uses of Data”, with Lin William Cong, Wenshi Wei, and Danxia Xie. Journal of Economic Dynamics and Control, 2022, 141, 104395.
      • Working paper version: SSRN #3911264
      • Publication version: Journal of Economic Dynamics and Control
      • We integrate the frameworks of Jones and Tonetti (2020) and Cong et al. (2021) to analyze the joint effects of data entering both production and innovation processes.
    • “Knowledge Accumulation, Privacy, and Growth in a Data Economy”, 2021, with Lin William Cong and Danxia Xie. Management Science, 2021, 67(10), 6480-6492.
      • Working paper version: SSRN #3464729
      • Publication version: Management Science
      • We propose an endogenous growth model that focuses on the privacy effects of data in the innovation process.
  • Books
    • “Data Factor, Data Privacy Protection, and Economic Growth” (in Chinese, 数据要素、数据隐私保护与经济增长), single author, July, 2024, Shanghai Joint Publishing Company (上海三联书店). ISBN: 978-7-5426-8503-2.
      • This book is revised from my Ph.D. dissertation, which presents an initial model of data in long-run economic growth.
  • Working Papers Received R&R
    • “Production, Trade, and Cross-Border Data Flows”, with Qing Chang, Lin William Cong, and Liyong Wang (SSRN #4241665).
      • NBER working paper version: NBER #31416
      • Best Paper Awards at 2025 Financial Management Association (FMA) Annual Meeting.
      • This is the FIRST paper analyzing cross-border data flows theoretically.
    • “Privacy Protection and the Long-Run Evolution of Data Factor Markets: A Two-Sector Endogenous Growth Framework” (in Chinese, 隐私保护与数据要素市场的长期演化：一个两部门内生增长框架), with Qing Chang.
  • Working Papers
    • “The Rise and Fall of Labor Share During Structural Transformations”, with Qing Chang and Danxia Xie.
    • “Generative AI, Data Quality, and Growth”, with Qing Chang and Danxia Xie.
    • “Synthetic Data, Computing Power, and Welfare in the Generative-AI Economy”, with Qing Chang and Danxia Xie.