Shipei Zeng

Shipei Zeng

Shenzhen Research Institute of Big Data & School of Humanities and Social Science, The Chinese University of Hong Kong (Shenzhen)

Selected Publications

Fields of Interest

Digital Economy, Economic Statistics, Computational Social Science

Journal Articles

  1. Shipei Zeng*; Deyu Rao. Random forests with economic roots: Explaining machine learning in hedonic imputation. Computational Economics, 2025, 66: 2457-2481 (SCI & SSCI)
  2. Shipei Zeng; Kevin Fox*. Productivity measurement with big data: A data-driven approach capturing firm heterogeneity. Australian Economic Review 2025, June 8: 1-10 (SSCI)
  3. Shipei Zeng; Shan Dai*. Synergizing domain knowledge and machine learning: Intelligent early fraud detection enhanced by earnings management analysis. International Review of Finance 2025, May 2: 1-27 (SSCI)
  4. Shipei Zeng; Jie Chen*. Empowerment of smart governance for local governments in China: Lessons from Shenzhen. Journal of the Knowledge Economy 2025, May 2: 1-19.
  5. Shan Dai; Jiayu Zhang; Zhelin Huang; Shipei Zeng*. Fire prediction and risk identification with interpretable machine learning. Journal of Forecasting, 2025, Mar 2: 1-17 (SSCI)
  6. Ximing Zhang; Huan Xu; Qiuling Yu; Shipei Zeng; Shan Dai; Haowen Yang; Shuhan Wu*. License recommendation for open source projects in the power industry. Information and Software Technology, 2024, 167: 107391 (SCI)
  7. Shipei Zeng; Zhanming Chen*; Ahmed Alsaedi; Tasawar Hayat. Price elasticity, block tariffs, and equity of natural gas demand in China: Investigation based on household-level survey data. Journal of Cleaner Production, 2018, 179: 441-449 (SCI)
  8. Zhanming Chen*; Shipei Zeng; Leo Lester; Lin-Ting Zhang; Xiaohua Xia; Shiyun Xu*; Ahmed Alsaedi; Tasawar Hayat. Economic cost of China’s oil import: Welfare estimation for 2001–2015. Resources, Conservation and Recycling, 2018, 132: 158-167 (SCI)
  9. Shipei Zeng; Zhanming Chen*. Impact of fossil fuel subsidy reform in China: Estimations of household welfare effects based on 2007–2012 data. Economic and Political Studies, 2016, 4: 299-318

Conferences

  1. Shan Dai; Guoyong Yang; Shipei Zeng*. Quantitative assessment of high quality development at the district level powered by big data: A case study of Shenzhen. The 6th Annual Conference of the Evaluation Methods and Applications Sub-society. Hangzhou, China, from 2023-6-10 to 2023-6-11
  2. Kai Zhang; Shan Dai; Shipei Zeng*. Automated project evaluation in the era of big data: Informing the matching degree between proposals and outputs based on text analysis. 2023 Big Data and Statistical Science Interdisciplinary Academic Conference. Shenzhen, China, from 2023-4-21 to 2023-4-23
  3. Shujuan Zhang; Shipei Zeng; Shan Dai*. Prediction and causality in community fire safety management powered by urban big data. The 22nd Annual Conference of Systems Engineering Society of China. Dalian, China, from 2022-11-26 to 2022-11-27
  4. Shipei Zeng*. Frontier firms, inefficiency and productivity dynamics. 36th International Association for Research in Income and Wealth General Conference. Oslo, Norway (Online), from 2021-8-23 to 2021-8-27
  5. Shipei Zeng*. Hedonic imputation with tree-based decision approaches. 36th International Association for Research in Income and Wealth General Conference. Oslo, Norway (Online), from 2021-8-23 to 2021-8-27
  6. Shipei Zeng; Stephanie Parsons; Erwin Diewert; Kevin Fox*. Industry and state level value added and productivity decompositions. EMG Workshop 2018. Sydney, Australia, from 2018-11-29 to 2018-11-30
  7. Kevin Fox*; Khanh Hoang; Shipei Zeng. Value added and productivity decompositions with natural capital. ESCoE Conference on Economic Measurement 2018, Bank of England. London, the UK, from 2018-5-16 to 2018-5-17
  8. Zhanming Chen; Shipei Zeng; Leo Lester; Xiaohua Xia; Linting Zhang. How costly is China’s oil import? Welfare loss estimation of foreign oil dependence 2001–2015. 40th IAEE International Conference. Singapore, from 2017-6-18 to 2017-6-21
  9. Shipei Zeng; Zhanming Chen*; Jin Guo. Price elasticities of residential natural gas demand in China: Evidence from household-level survey data. The 19th Annual Conference of Systems Engineering Society of China. Beijing, China, from 2016-10-28 to 2016-10-31
  10. Shipei Zeng; Hanwen Wang; Zhanming Chen*; Rong Yu. Derived from OSMM method: A plain analysis about oil security cost to China’s economy. 2014 1st International Conference on Industrial Economics and Industrial Security. Beijing, China, from 2014-7-23 to 2014-7-26

Reports

  1. Tao Shu; Shan Dai; Shipei Zeng; Han Liu; Kai Zhang; Shuhan Wu; Shujuan Zhang. The district level high-quality development index report of Shenzhen. 2022
  2. Tao Shu; Shipei Zeng; Shuhan Wu; Mengxia Xu; Xueying Wang; Xiangqian Huang; Han Liu. 2017 – 2019 Evaluation report on the support effect of high-tech enterprise identification on Shenzhen enterprises. 2021
  3. Tao Shu; Shipei Zeng; Xueying Wang; Mengxia Xu; Shuhan Wu; Han Liu. 2017-2019 Evaluation report on the effect of government financial support on high-tech enterprises in Shenzhen. 2021
  4. Tao Shu; Mengxia Xu; Shuhan Wu; Shipei Zeng; Xueying Wang; Han Liu; Yi Wang; Minjue Zhang; Luxin Tian. 2017 – 2020 Shenzhen high-tech enterprise development report. 2021
  5. Tao Shu; Shujuan Zhang; Han Liu; Chi Zhang; Runhao Yang; Shipei Zeng; Jianing Guo; Yuang Teng; Xinyue Li. Sample data analysis report for quantitative assessment of government funds. 2021

Book Chapters

  1. Chu Wei; Zhanming Chen; Shipei Zeng; Xiaohua Xia; Feng Song; Jieqi Wu; Ying Huang; Ping Qin; Wenjie Miao; Xiaobing Zhang. Descriptive statistics of questionnaire data. Household Energy Consumption in China: 2016 Report, 39-93.

Patents

  1. Coordinate coding-based quantitative index system generation and diagnosis: method and system, ZL202310339635.3
  2. Text analysis-based scientific research project output evaluation and acceptance: method and system, ZL202211251387.9
  3. Quantifiable indicator system construction based on semantic extraction and alignment: method and apparatus, CN202511277341.8
  4. Credit evaluation: method, apparatus, and storage medium, CN202510682938.4
  5. Telephone number recognition: method, apparatus, electronic device, and storage medium, CN202510117371.6
  6. Enterprise evaluation accuracy enhancement: method, apparatus, computer device, and medium, CN202311395648.9
  7. Multi-source data fusion machine learning for fire prediction and hazard identification: method and system, CN202210977272.1

Coding

DFVAD R Package: This R computing package, which Shipei Zeng is the author of, helps to identify the main drivers of productivity and economic growth. It has been officially approved by CRAN and is utilized by researchers interested in economic growth studies, with 18,000+ downloads. Value added growth can be broken down into explanatory elements using the R coding tools it offers. The production frontier is specified using a cost constrained value added function. A weighted average method can also be used to aggregate industry estimations. Details about the methodology and data can be found in Diewert and Fox (2018) and Zeng, Parsons, Diewert and Fox (2018).