Chengji Yang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Chengji Yang has a total of 24 co-authors. Here are the top co-authors by number of shared publications:
- Xiaoming Li
School of International Business, Zhejiang Yuexiu University, Shaoxing, China
3 shared publications - Yao Huang
School of International Business, Zhejiang Yuexiu University, Shaoxing, China
3 shared publications Guojie Xie
Key Lab Open Data Zhejiang Prov, Hangzhou 310000, Zhejiang, Peoples R China
2 shared publications- Hongdong Guo
China Academy of Rural Development (CARD), Zhejiang University, Hangzhou 310058, China
2 shared publications Hongwei Jin
School of International Business, Zhejiang Yuexiu University, Shaoxing, China
2 shared publicationsNeal Xiong
Department of Computer, Mathematical and Physical Sciences Sul Ross State University, Alpine, USA
2 shared publications
Latest Publications
- Top Cited Papers
- 17 March 2026
- Published by Elsevier in Food Policy
- Vol. 140
From brand to prosperity: the impact of agricultural regional public brands on local economic growth in China
- 17 March 2026
- Published by Elsevier in Food Policy
- Vol. 140
Top Cited PapersFrom brand to prosperity: the impact of agricultural regional public brands on local economic growth in China
- Open Access
- 17 September 2025
- Published by Springer Nature in Humanities and Social Sciences Communications
- Vol. 12 (1) , 1-2
Correction: The interplay of time and space in human behavior: a sociological perspective on the TSCH model
- 17 September 2025
- Published by Springer Nature in Humanities and Social Sciences Communications
- Vol. 12 (1) , 1-2
Open AccessCorrection: The interplay of time and space in human behavior: a sociological perspective on the TSCH model
- Open Access
- 26 December 2024
- Published by Springer Nature in Humanities and Social Sciences Communications
- Vol. 11 (1) , 1-17
The interplay of time and space in human behavior: a sociological perspective on the TSCH model
- 26 December 2024
- Published by Springer Nature in Humanities and Social Sciences Communications
- Vol. 11 (1) , 1-17
Open AccessThe interplay of time and space in human behavior: a sociological perspective on the TSCH model
- Open Access
- 1 December 2024
- Published by MDPI AG in Sustainability
- Vol. 16 (23) , 10546
Can Internet Use Increase Rural Women’s Income? Evidence from Underdeveloped Areas of China
Although the widespread use of the Internet in rural areas provides new opportunities for economic growth, whether and how rural women benefit from it remains a question. Guided by Sustainable Development Goal (SDG) 5 and its targets, this study examines the impact of Internet use on rural women’s income by using survey data from 1384 rural households in underdeveloped areas of China. The results indicate that Internet use can significantly increase rural women’s income in underdeveloped areas. Additionally, the income effects of Internet use are heterogeneous across the different purposes of Internet use, income levels, individual characteristics, and family characteristics. Further analysis reveals that increasing labor input and enhancing capital endowment are two important channels through which Internet use increases rural women’s income. The results offer further empirical support for policymakers to utilize the Internet to increase rural women’s income and contribute to poverty alleviation in underdeveloped areas.
- 1 December 2024
- Published by MDPI AG in Sustainability
- Vol. 16 (23) , 10546
Open AccessCan Internet Use Increase Rural Women’s Income? Evidence from Underdeveloped Areas of China
Although the widespread use of the Internet in rural areas provides new opportunities for economic growth, whether and how rural women benefit from it remains a question. Guided by Sustainable Development Goal (SDG) 5 and its targets, this study examines the impact of Internet use on rural women’s income by using survey data from 1384 rural households in underdeveloped areas of China. The results indicate that Internet use can significantly increase rural women’s income in underdeveloped areas. Additionally, the income effects of Internet use are heterogeneous across the different purposes of Internet use, income levels, individual characteristics, and family characteristics. Further analysis reveals that increasing labor input and enhancing capital endowment are two important channels through which Internet use increases rural women’s income. The results offer further empirical support for policymakers to utilize the Internet to increase rural women’s income and contribute to poverty alleviation in underdeveloped areas.
- 14 August 2024
- Published by Elsevier in Physica A: Statistical Mechanics and its Applications
- Vol. 652
Developing deep learning models for predicting urban bike-sharing usage patterns
- 14 August 2024
- Published by Elsevier in Physica A: Statistical Mechanics and its Applications
- Vol. 652
Developing deep learning models for predicting urban bike-sharing usage patterns
- Open Access
- 30 November 2023
- Published by Taylor & Francis in Molecular Physics
- Vol. 122 (10)
New diabatic potential energy surfaces of KH 2 system constructed using neural network method
- 30 November 2023
- Published by Taylor & Francis in Molecular Physics
- Vol. 122 (10)
Open AccessNew diabatic potential energy surfaces of KH 2 system constructed using neural network method
- Open Access
- 24 August 2023
- Published by MDPI AG in Sustainability
- Vol. 15 (17) , 12841
Digital Technology and Green Development in Manufacturing: Evidence from China and 20 Other Asian Countries
The global interest in environmental protection and sustainable development has grown steadily in recent years, sparking widespread concern about green development in the manufacturing industry among governments, enterprises, and scholars around the world. Despite this heightened interest, research on the influence of the digital economy on the manufacturing industry’s green development remains scarce. This article analyzes the impact of the digital economy on the green development of the manufacturing industry and examines the role of human capital and trade competitiveness in this context. Using a two-way fixed-effects model of panel data analysis, we investigated the GTFP (Green Total Factor Productivity) of the Chinese manufacturing industry, as well as that of the overall industry and 20 other Asian countries along the “Belt and Road”. Our findings indicate a positive association between the digital economy and both the overall GTFP and the manufacturing GTFP in China. The countries situated along the Belt and Road experience a U-shaped trend in their GTFP due to the impact of the digital economy. The digital economy displays a delayed impact, and its eco-friendly value is realized, to different extents, after two sequential periods. In addition, human capital and trade competitiveness are threshold variables in the relationship between the digital economy and the green development of the manufacturing industry. When human capital exceeds a certain threshold and trade competitiveness exceeds a certain threshold, the digital economy has a positive effect on GTFP. This study offers unique insights into the impact of the digital economy on the green development of the manufacturing industry. By addressing this research gap, this study gives policymakers the ability to leverage these findings to promote sustainable practices across the industry. Ultimately, the valuable insights provided by this study may contribute to the ongoing efforts to advance the green development of the manufacturing industry.
- 24 August 2023
- Published by MDPI AG in Sustainability
- Vol. 15 (17) , 12841
Open AccessDigital Technology and Green Development in Manufacturing: Evidence from China and 20 Other Asian Countries
The global interest in environmental protection and sustainable development has grown steadily in recent years, sparking widespread concern about green development in the manufacturing industry among governments, enterprises, and scholars around the world. Despite this heightened interest, research on the influence of the digital economy on the manufacturing industry’s green development remains scarce. This article analyzes the impact of the digital economy on the green development of the manufacturing industry and examines the role of human capital and trade competitiveness in this context. Using a two-way fixed-effects model of panel data analysis, we investigated the GTFP (Green Total Factor Productivity) of the Chinese manufacturing industry, as well as that of the overall industry and 20 other Asian countries along the “Belt and Road”. Our findings indicate a positive association between the digital economy and both the overall GTFP and the manufacturing GTFP in China. The countries situated along the Belt and Road experience a U-shaped trend in their GTFP due to the impact of the digital economy. The digital economy displays a delayed impact, and its eco-friendly value is realized, to different extents, after two sequential periods. In addition, human capital and trade competitiveness are threshold variables in the relationship between the digital economy and the green development of the manufacturing industry. When human capital exceeds a certain threshold and trade competitiveness exceeds a certain threshold, the digital economy has a positive effect on GTFP. This study offers unique insights into the impact of the digital economy on the green development of the manufacturing industry. By addressing this research gap, this study gives policymakers the ability to leverage these findings to promote sustainable practices across the industry. Ultimately, the valuable insights provided by this study may contribute to the ongoing efforts to advance the green development of the manufacturing industry.