Chang Zhou
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Chang Zhou has a total of 16 co-authors. Here are the top co-authors by number of shared publications:
Bingrui Liu
College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, People’s Republic of China
1 shared publicationBiqian Liu
School of Economics and Management, Zhejiang Agriculture and Forestry University, Hangzhou, China
1 shared publication- Biqian Liu
School of Economics and Management, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China
1 shared publication - Can Zhou
School of Humanities and Communication, Zhejiang University of Finance & Economics, Hangzhou 310018, China
1 shared publication Dongxue Wang
Upstream Hydrology and Water Resources Bureau of Yellow River Conservancy Commission, Lanzhou, China
1 shared publication- Feifei Lu
Affiliation College of Management, Qingdao Agriculture University, Chengyang District, Qingdao, China
1 shared publication
Latest Publications
- Open Access
- 1 August 2026
- Published by MDPI AG in Algorithms
- Vol. 19 (8) , 632
PERFED: Privacy Preserving Personalized Federated Learning with Reinforcement and Meta-Learning for Digital Language Education
Personalized language learning in digital education faces challenges in balancing personalization, data privacy, and limited user interaction data. To mitigate these issues, this paper proposes PERFED, a Privacy-Preserving Personalized Federated Learning paradigm with Reinforcement Learning and Meta-Learning for adaptive digital language education. PERFED introduces three key innovations: (i) a privacy-preserving federated optimization mechanism with adaptive differential privacy noise that adjusts based on client data sensitivity to ensure strong privacy protection while minimizing utility loss; (ii) a reinforcement learning-based adaptive policy that dynamically selects personalized learning strategies to improve learner engagement and accelerate convergence; and (iii) a meta-learning-driven module designed for quick adaptation to new users in low-data scenarios, improving cold-start performance in personalized language learning scenarios. Experiments on the archived multilingual Duolingo Second Language Acquisition Modeling corpus show that PERFED achieves accuracy over five runs, outperforming FedAvg (78.5%), FedProx (80.2%), and FedPer (81.9%) under non-IID federated settings. PERFED also reduces convergence rounds while improving training stability under heterogeneous client distributions, all while maintaining a maximum cumulative privacy loss of under a Rényi differential privacy accountant. These results demonstrate the effectiveness and robustness of PERFED for privacy-preserving intelligent language education. The evaluation is an offline synchronous simulation; the behavioral engagement signal is a log-derived proxy rather than a human-subject measure, and mobile deployment performance is not claimed.- 1 August 2026
- Published by MDPI AG in Algorithms
- Vol. 19 (8) , 632
Open AccessPERFED: Privacy Preserving Personalized Federated Learning with Reinforcement and Meta-Learning for Digital Language Education
Personalized language learning in digital education faces challenges in balancing personalization, data privacy, and limited user interaction data. To mitigate these issues, this paper proposes PERFED, a Privacy-Preserving Personalized Federated Learning paradigm with Reinforcement Learning and Meta-Learning for adaptive digital language education. PERFED introduces three key innovations: (i) a privacy-preserving federated optimization mechanism with adaptive differential privacy noise that adjusts based on client data sensitivity to ensure strong privacy protection while minimizing utility loss; (ii) a reinforcement learning-based adaptive policy that dynamically selects personalized learning strategies to improve learner engagement and accelerate convergence; and (iii) a meta-learning-driven module designed for quick adaptation to new users in low-data scenarios, improving cold-start performance in personalized language learning scenarios. Experiments on the archived multilingual Duolingo Second Language Acquisition Modeling corpus show that PERFED achieves accuracy over five runs, outperforming FedAvg (78.5%), FedProx (80.2%), and FedPer (81.9%) under non-IID federated settings. PERFED also reduces convergence rounds while improving training stability under heterogeneous client distributions, all while maintaining a maximum cumulative privacy loss of under a Rényi differential privacy accountant. These results demonstrate the effectiveness and robustness of PERFED for privacy-preserving intelligent language education. The evaluation is an offline synchronous simulation; the behavioral engagement signal is a log-derived proxy rather than a human-subject measure, and mobile deployment performance is not claimed. - 13 September 2025
- Published by Springer Nature in Environment, Development and Sustainability
- Vol. 28 (6) , 15479-15509
Does carbon trading affect the investment efficiency? -DEA test method based on enterprise-caliber
- 13 September 2025
- Published by Springer Nature in Environment, Development and Sustainability
- Vol. 28 (6) , 15479-15509
Does carbon trading affect the investment efficiency? -DEA test method based on enterprise-caliber
- Open Access
- 23 April 2025
- Published by MDPI AG in Sustainability
- Vol. 17 (9) , 3817
Does Market Power Improve Corporate Carbon Efficiency? Based on Evidence from Listed Chinese Companies
As a key component of China’s sustainable development strategy, the “dual-carbon” goal indicates the need to actively and steadily promote carbon peaking and carbon neutrality and strengthen resource conservation and environmental protection—a core research focus published in Sustainability. Existing research in environmental economics and corporate sustainability suggests that improving carbon efficiency is a key pathway to climate-resilient industrialization, but the role of corporate market forces in this context remains under-explored. Consistent with the interdisciplinary scope of sustainability in the environmental, economic and social dimensions. This paper takes the industrial sector from 2012 to 2021 as the research sample and empirically researches and analyzes the relationship between enterprise market power and carbon efficiency and its mechanism through theoretical derivation and a fixed effect model. We found that enterprise market power is a remarkable contributor to carbon efficiency. The mechanism test found that the promotion role is reflected in the improvement of profitability, and profitability plays a mediating role in market power and carbon efficiency. In the further heterogeneity analysis, this study found that the degree of environmental information disclosure and whether an enterprise is heavily polluting present notable differences in carbon efficiency. The positive correlation between firms’ market power and carbon efficiency is more significant when firms have a lower degree of environmental information disclosure and are non heavily polluting firms. Through the expansive analysis, it is found that there is a marked cohort effect on carbon efficiency, and the market power can effectively empower the industry cohort effect of carbon efficiency.
- 23 April 2025
- Published by MDPI AG in Sustainability
- Vol. 17 (9) , 3817
Open AccessDoes Market Power Improve Corporate Carbon Efficiency? Based on Evidence from Listed Chinese Companies
As a key component of China’s sustainable development strategy, the “dual-carbon” goal indicates the need to actively and steadily promote carbon peaking and carbon neutrality and strengthen resource conservation and environmental protection—a core research focus published in Sustainability. Existing research in environmental economics and corporate sustainability suggests that improving carbon efficiency is a key pathway to climate-resilient industrialization, but the role of corporate market forces in this context remains under-explored. Consistent with the interdisciplinary scope of sustainability in the environmental, economic and social dimensions. This paper takes the industrial sector from 2012 to 2021 as the research sample and empirically researches and analyzes the relationship between enterprise market power and carbon efficiency and its mechanism through theoretical derivation and a fixed effect model. We found that enterprise market power is a remarkable contributor to carbon efficiency. The mechanism test found that the promotion role is reflected in the improvement of profitability, and profitability plays a mediating role in market power and carbon efficiency. In the further heterogeneity analysis, this study found that the degree of environmental information disclosure and whether an enterprise is heavily polluting present notable differences in carbon efficiency. The positive correlation between firms’ market power and carbon efficiency is more significant when firms have a lower degree of environmental information disclosure and are non heavily polluting firms. Through the expansive analysis, it is found that there is a marked cohort effect on carbon efficiency, and the market power can effectively empower the industry cohort effect of carbon efficiency.
- Open Access
- 21 April 2022
- Published by Springer Nature in Environmental Monitoring and Assessment
- Vol. 194 (5) , 1-18
Study on water resources carrying capacity in Zhuanglang River Basin
With the rapid development of China’s social economy, the phenomenon of unbalanced regional economic development is increasingly obvious. The shortage of water resources in northwest China is an important constraint to local development. The study on the water resources carrying capacity of the Zhuanglang River Basin plays an important role in the development of local economy; thus, we evaluate the water resources situation of Zhuanglang River Basin by using hydrology-related calculation method, combining with field investigation, visiting relevant departments, and referring to relevant data. Meanwhile, the water resources carrying capacity of 3 counties and 12 townships in the Zhuanglang River Basin in the current year are studied and analyzed based on methods such as fuzzy comprehensive evaluation model and quantitative calculation. Results indicate that the carrying capacity of water resources in Zhuanglang river basin can mostly meet the needs of township, but it is necessary to further optimize the water resources carrying capacity of the Zhuanglang River Basin from the four systems of water resources, society, economy, and ecology in the future. Besides, the results of quantitative calculation show that the maximum economic scale that water resources can withstand in most areas of the Zhuanglang River Basin is the overall well-off level, that is, the per capita domestic water is 80L/(d· person), and the per capita GDP is 10000 yuan/person. But there is still a certain gap to achieve the level, when the people are well-off in an all-round way, the two indexes are correspondently raised to 120L/(d· person), and the per capita GDP is 30,000 yuan/person.
- 21 April 2022
- Published by Springer Nature in Environmental Monitoring and Assessment
- Vol. 194 (5) , 1-18
Open AccessStudy on water resources carrying capacity in Zhuanglang River Basin
With the rapid development of China’s social economy, the phenomenon of unbalanced regional economic development is increasingly obvious. The shortage of water resources in northwest China is an important constraint to local development. The study on the water resources carrying capacity of the Zhuanglang River Basin plays an important role in the development of local economy; thus, we evaluate the water resources situation of Zhuanglang River Basin by using hydrology-related calculation method, combining with field investigation, visiting relevant departments, and referring to relevant data. Meanwhile, the water resources carrying capacity of 3 counties and 12 townships in the Zhuanglang River Basin in the current year are studied and analyzed based on methods such as fuzzy comprehensive evaluation model and quantitative calculation. Results indicate that the carrying capacity of water resources in Zhuanglang river basin can mostly meet the needs of township, but it is necessary to further optimize the water resources carrying capacity of the Zhuanglang River Basin from the four systems of water resources, society, economy, and ecology in the future. Besides, the results of quantitative calculation show that the maximum economic scale that water resources can withstand in most areas of the Zhuanglang River Basin is the overall well-off level, that is, the per capita domestic water is 80L/(d· person), and the per capita GDP is 10000 yuan/person. But there is still a certain gap to achieve the level, when the people are well-off in an all-round way, the two indexes are correspondently raised to 120L/(d· person), and the per capita GDP is 30,000 yuan/person.
- Open Access
- 1 July 2021
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 16 (7) , e0253460
Impact of the implementation of carbon emission trading on corporate financial performance: Evidence from listed companies in China
With the development of ecological paradigm coupled with the relentless implementation of myriad environmental policies in China, the rapid development of carbon emission trading and carbon trading market has had a vital impact on the financial performance of enterprises at the microlevel. This study has sampled the A-share listed companies in China, from 2009 to 2018, and adopted the difference-in-difference (DID) method to investigate the effect of the carbon emission trading on corporate financial performance from the microlevel. Evidence showed that the implementation of carbon emission trading effectively improved the total asset-liability ratio of enterprises, though it reduced the value of the current capital market. Moreover, in the regions under strict legal environment, the enhancement effect of the total asset-liability ratio was more obvious, whereas in the regions under loose legal environment, the reduction effect of the value of the capital market was more obvious. Further analysis showed that the implementation of carbon emission trading could not promote Chinese enterprises to increase R&D investment. Hence the implementation of carbon emission trading has improved the level of non-business income of enterprises incorporated into the trading system, but its impact on the investment income of enterprises was not significant.
- 1 July 2021
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 16 (7) , e0253460
Open AccessImpact of the implementation of carbon emission trading on corporate financial performance: Evidence from listed companies in China
With the development of ecological paradigm coupled with the relentless implementation of myriad environmental policies in China, the rapid development of carbon emission trading and carbon trading market has had a vital impact on the financial performance of enterprises at the microlevel. This study has sampled the A-share listed companies in China, from 2009 to 2018, and adopted the difference-in-difference (DID) method to investigate the effect of the carbon emission trading on corporate financial performance from the microlevel. Evidence showed that the implementation of carbon emission trading effectively improved the total asset-liability ratio of enterprises, though it reduced the value of the current capital market. Moreover, in the regions under strict legal environment, the enhancement effect of the total asset-liability ratio was more obvious, whereas in the regions under loose legal environment, the reduction effect of the value of the capital market was more obvious. Further analysis showed that the implementation of carbon emission trading could not promote Chinese enterprises to increase R&D investment. Hence the implementation of carbon emission trading has improved the level of non-business income of enterprises incorporated into the trading system, but its impact on the investment income of enterprises was not significant.