Zhen Peter Ye

Personal Details

First Name:	Zhen
Middle Name:	Peter
Last Name:	Ye
Suffix:
RePEc Short-ID:	pye62
	[This author has chosen not to make the email address public]
	https://www.ucl.ac.uk/bartlett/construction/people/dr-zhen-ye-peter
	Zhen Ye (Peter) PhD MBA LLM Associate Professor in Infrastructure Economics Finance, The Bartlett Faculty of Built Environments, University College London (UCL), WC1E7HB United Kingdom
Terminal Degree:	Booth School of Business; University of Chicago (from RePEc Genealogy)

Affiliation

(20%) School of Economics
Xiamen University

Fujian, China
http://economic.xmu.edu.cn/
RePEc:edi:cexmucn (more details at EDIRC)

(80%) Bartlett School of Construction and Project Management
University College London (UCL)

London, United Kingdom
https://www.ucl.ac.uk/bartlett/construction/
RePEc:edi:scucluk (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Meng, Lina & Zhou, Yinggang & Zhang, Ruige & Ye, Zhen & Xia, Senmao & Cerulli, Giovanni & Casady, Carter & Härdle, Wolfgang Karl, 2020. "The Effect of Control Measures on COVID-19 Transmission and Work Resumption: International Evidence," IRTG 1792 Discussion Papers 2020-011, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".

   Cited by:

   1. Lu, Cuicui & Wang, Weining & Wooldridge, Jeffrey M., 2020. "Using generalized estimating equations to estimate nonlinear models with spatial data," IRTG 1792 Discussion Papers 2020-017, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
      • Cuicui Lu & Weining Wang & Jeffrey M. Wooldridge, 2018. "Using generalized estimating equations to estimate nonlinear models with spatial data," Papers 1810.05855, arXiv.org.
   2. Wang, Weining & Wooldridge, Jeffrey M. & Xu, Mengshan, 2020. "Improved Estimation of Dynamic Models of Conditional Means and Variances," IRTG 1792 Discussion Papers 2020-021, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
   3. Wang, Weining & Yu, Lining & Wang, Bingling, 2020. "Tail Event Driven Factor Augmented Dynamic Model," IRTG 1792 Discussion Papers 2020-022, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".

Articles

1. Ye, Zhen & Zhang, Fangzhu & Coffman, D’Maris & Xia, Senmao & Wang, Zhifeng & Zhu, Zhonghua, 2022. "China’s urban construction investment bond: Contextualising a financial tool for local government," Land Use Policy, Elsevier, vol. 112(C).

   Cited by:

   1. Zhu, Jun & Xu, Haokun & Zhang, Yue, 2022. "Local government debt and firm productivity: Evidence from China," Research in International Business and Finance, Elsevier, vol. 63(C).
   2. Bao, Helen X.H. & Wang, Ziyou & Wu, Robert Liangqi, 2024. "Understanding local government debt financing of infrastructure projects in China: Evidence based on accounting data from local government financing vehicles," Land Use Policy, Elsevier, vol. 136(C).
   3. Kumala, Calvin & Ye, Zhen & Zhu, Yite & Ke, Qiulin, 2024. "Why does price deviate from net asset value? The case of Singaporean infrastructure REITs," International Review of Financial Analysis, Elsevier, vol. 93(C).
   4. Mingyao Cao & Keyi Duan & Haslindar Ibrahim, 2023. "Local Government Debt and Its Impact on Corporate Underinvestment and ESG Performance: Empirical Evidence from China," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
   5. Changjun Zheng & Shiying Chen & Zhenhuan Dong, 2021. "Economic Fluctuation, Local Government Bond Risk and Risk-Taking of City Commercial Banks," Sustainability, MDPI, vol. 13(17), pages 1-26, September.

2. Ji, Xi & Liu, Yifang & Wu, Guowei & Su, Pinyi & Ye, Zhen & Feng, Kuishuang, 2022. "Global value chain participation and trade-induced energy inequality," Energy Economics, Elsevier, vol. 112(C).

   Cited by:

   1. Pang, Qinghua & Liu, Xuan & Zhang, Lina & Chiu, Yung-ho, 2024. "Temporal-spatial evolution of environmental inequality of embodied energy transfer within inter-provincial trade of China," Energy, Elsevier, vol. 299(C).
   2. Yang, Lin & Li, Yiming & Sun, Jingjing & Zhang, Yinuo & Shao, Jiahuan & Xing, Helong, 2024. "Revisiting the carbon-economic inequality within global value chain considering corporate heterogeneity: Evidence from China's trade," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
   3. Gao, Peng & Zhang, Kunpeng & Zheng, Peng, 2024. "The impact of industrial digitization on the global value chains position: Evidence from China’ s industry sectors," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 147-162.
   4. Wei, Long & Li, Wenjing & Jin, Zhida, 2024. "Global value chains participation and trade-induced carbon inequality: A comparative analysis of developed and developing economies," Ecological Economics, Elsevier, vol. 220(C).
   5. P., Jithin & Ashraf, Sania, 2023. "Global value chain participation and CO2 emissions: Does economic growth matter? New evidence from dynamic panel threshold regression," Energy Economics, Elsevier, vol. 128(C).
   6. Teng, Yuqiang & Lin, Boqiang, 2024. "The energy-saving effect of industrial chain synergistic division: Evidence from China's industrial chain," Energy Policy, Elsevier, vol. 185(C).
   7. Ji, Xi & Su, Pinyi & Liu, Yifang & Wu, Guowei & Wu, Xudong, 2023. "Mutual complementarity of arable land use in the Sino-Africa trade: Evidence from the global supply chain," Land Use Policy, Elsevier, vol. 128(C).

3. Xiong, Ailun & Xia, Senmao & Ye, Zhen Peter & Cao, Dongmei & Jing, Yanguo & Li, Hongyi, 2020. "Can innovation really bring economic growth? The role of social filter in China," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 50-61.

   Cited by:

   1. Cristina CRISTE & Ciel BOVARY (MAN) & Nicoleta-Claudia MOLDOVAN & Raluca RĂCĂTĂIAN & Oana-Ramona LOBONȚ, 2024. "Eu Capacity To Bolster And Stimulate Research And Innovation: Who Is The Leader In Development?," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 19(2), pages 60-77, August.
   2. Ke, Xinli & Chen, Jing & Zuo, Chengchao & Wang, Xiaoqian, 2024. "The cropland intensive utilisation transition in China: An induced factor substitution perspective," Land Use Policy, Elsevier, vol. 141(C).
   3. Chao Gao & Dequan Yao & Jiayu Fang & Zhengchu He, 2022. "Analysis of the Relationships between Financial Development and Sustainable Economic Growth: Evidence from Chinese Cities," Sustainability, MDPI, vol. 14(15), pages 1-15, July.
   4. Mehmet Güney Celbiş & Pui-Hang Wong & Karima Kourtit & Peter Nijkamp, 2021. "Innovativeness, Work Flexibility, and Place Characteristics: A Spatial Econometric and Machine Learning Approach," Sustainability, MDPI, vol. 13(23), pages 1-29, December.
   5. Xu, Aiting & Qiu, Keyang & Zhu, Yuhan, 2023. "The measurements and decomposition of innovation inequality: Based on Industry − University − Research perspective," Journal of Business Research, Elsevier, vol. 157(C).
   6. Li, Guangchen & Wei, Weixian, 2021. "Financial development, openness, innovation, carbon emissions, and economic growth in China," Energy Economics, Elsevier, vol. 97(C).
   7. Ernest Kay Bakpa & Hu Xuhua & Abigail Konadu Aboagye, 2021. "Ghana’s economic growth: Directing our focus on the contributing influences of innovation activities and trade," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2213-2237, December.
   8. Yu, Haijing & Devece, Caarlos & Martinez, José Manuel Guaita & Xu, Bing, 2021. "An analysis of the paradox in R&D. Insight from a new spatial heterogeneity model," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
   9. Mariana SEHLEANU & Ramona SIMUT & Ciprian SIMUT, 2021. "Economic Growth And R&D Expenditure In Romania. An Empirical Research," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(1), pages 231-242, November.
   10. Zhai, Xueqi & An, Yunfei, 2021. "The relationship between technological innovation and green transformation efficiency in China: An empirical analysis using spatial panel data," Technology in Society, Elsevier, vol. 64(C).
   11. Cleomar Marcos Fabrizio & Fabíola Kaczam & Gilnei Luiz Moura & Luciana Santos Costa Vieira Silva & Wesley Vieira Silva & Claudimar Pereira Veiga, 2022. "Competitive advantage and dynamic capability in small and medium-sized enterprises: a systematic literature review and future research directions," Review of Managerial Science, Springer, vol. 16(3), pages 617-648, April.
   12. Li, Wei & Liu, Zhi & Xia, Senmao & Yan, Ji & Xiong, Yu & Sakka, Georgia & Yu Li, Rebecca, 2022. "How can emerging-market SMEs domestically benefit from their performance in developed countries? Empirical evidence from China," Journal of Business Research, Elsevier, vol. 142(C), pages 200-210.
   13. Zhou, Danping & Zhang, Pan & Guo, Junhua, 2024. "Is one plus one greater than two? How Double target incentives stimulate green growth in China," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 340-350.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-CNA: China (1) 2021-03-08. Author is listed
2. NEP-EEC: European Economics (1) 2021-03-08. Author is listed
3. NEP-HEA: Health Economics (1) 2021-03-08. Author is listed

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