Junting Zhang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Junting Zhang has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- S C Lyu
Business School, Business Administration, Shunde Polytechnic , Desheng Dong Lu, Shunde District, Foshan, Guangdong Province, P. R. China
1 shared publication Shun Lyu
Shunde Polytechnic Business School, Business Administration Shunde District, Foshan, Guangdong Province, 528000, China
1 shared publicationTianle Zhang
University of Illinois Urbana-Champaign Gies College of Business 1206 S 6th St, Champaign, IL 61820, USA
1 shared publicationZihua Xu
Guangdong Yide Port Co., Ltd , No. 1, Lingang Road, Nanhu Village Committee, Xingtang Town, Shunde District, FoShan, China
1 shared publication
Latest Publications
- Open Access
- 18 January 2024
- Published by Oxford University Press (OUP) in International Journal of Low-Carbon Technologies
- Vol. 19, 619-627
Research on the current situation and countermeasures of low-carbon ecological urban development: a case study of Guangdong Province
Current global climate change, increasing energy depletion, and continuous environmental degradation have made it crucial to transform the economic development model into a low-carbon economy. Urban development, being one of the major sources of carbon emissions, has made low-carbon and ecological urban development an important topic on the international agenda. This article uses principal component analysis and the entropy weight method to quantitatively evaluate the development of low-carbon ecological cities in Guangdong Province from three aspects: economic and social factors, living environment, and resource and environmental factors. Based on the current situation, it proposes development strategies to provide references and guidance for further low-carbon ecological economic development in Guangdong Province. In the current world situation, with global climate warming, increasing energy depletion, and continuous environmental deterioration, the transformation of the economic development model into a low-carbon economy is of great significance. Urban development, being a major source of carbon emissions, makes low-carbon and ecological urban development an increasingly prominent topic in international societal development. This paper quantitatively evaluates the development of low-carbon and ecological cities in Guangdong Province using principal component analysis (PCA) and the entropy weight method. The results indicate that economic and social development plays a decisive role in the development of low-carbon cities. Strategies for development are proposed in response to the current situation, providing guidance and reference for further progress toward a low-carbon and ecological economy in Guangdong Province.
- 18 January 2024
- Published by Oxford University Press (OUP) in International Journal of Low-Carbon Technologies
- Vol. 19, 619-627
Open AccessResearch on the current situation and countermeasures of low-carbon ecological urban development: a case study of Guangdong Province
Current global climate change, increasing energy depletion, and continuous environmental degradation have made it crucial to transform the economic development model into a low-carbon economy. Urban development, being one of the major sources of carbon emissions, has made low-carbon and ecological urban development an important topic on the international agenda. This article uses principal component analysis and the entropy weight method to quantitatively evaluate the development of low-carbon ecological cities in Guangdong Province from three aspects: economic and social factors, living environment, and resource and environmental factors. Based on the current situation, it proposes development strategies to provide references and guidance for further low-carbon ecological economic development in Guangdong Province. In the current world situation, with global climate warming, increasing energy depletion, and continuous environmental deterioration, the transformation of the economic development model into a low-carbon economy is of great significance. Urban development, being a major source of carbon emissions, makes low-carbon and ecological urban development an increasingly prominent topic in international societal development. This paper quantitatively evaluates the development of low-carbon and ecological cities in Guangdong Province using principal component analysis (PCA) and the entropy weight method. The results indicate that economic and social development plays a decisive role in the development of low-carbon cities. Strategies for development are proposed in response to the current situation, providing guidance and reference for further progress toward a low-carbon and ecological economy in Guangdong Province.
- Open Access
- 8 February 2022
- Published by Oxford University Press (OUP) in International Journal of Low-Carbon Technologies
- Vol. 17, 931-940
Auxiliary social governance system based on knowledge graph: application in carbon reduction
As Chinese socialism evolves into a new era, the government’s concept of social governance has undergone profound and significant changes. Since the planned economy’s inception, relying entirely on the government to implement a top-down, all-inclusive administrative management model has gradually proven incapable of adapting fully to the time requirements for development. Notably, the fourth plenary session of the party’s 19th Central Committee adopted a major strategic decision to advance the country’s governance system and capabilities for modernization, informatization and intelligence. This manuscript aims to integrate social events based on encyclopedias, national standards, social events extracted from social networks and social events discovered by the general public in order to realize modern social governance. By establishing a massive knowledge network, it is possible to analyze and manage the hierarchical classification of events, things and organizations, as well as make flexible decisions about social events through a combination of automation, semi-automation and manual processes, ensuring that events are quickly and accurately pushed to appropriate staff for survey, processing and real-time feedback. This study is expected to be more effective in assisting social governance and facilitating the simultaneous transfer of urban management information among all participants. Simultaneously, the system will be used for carbon emission reduction management, enabling intelligent carbon emission reduction management, enhancing carbon emission reduction management efficiency and injecting new impetus into the world’s new path of green development in the post-epidemic era, thereby affecting international carbon emission reduction action, global industrial development patterns and even geopolitical economic ecology.
- 8 February 2022
- Published by Oxford University Press (OUP) in International Journal of Low-Carbon Technologies
- Vol. 17, 931-940
Open AccessAuxiliary social governance system based on knowledge graph: application in carbon reduction
As Chinese socialism evolves into a new era, the government’s concept of social governance has undergone profound and significant changes. Since the planned economy’s inception, relying entirely on the government to implement a top-down, all-inclusive administrative management model has gradually proven incapable of adapting fully to the time requirements for development. Notably, the fourth plenary session of the party’s 19th Central Committee adopted a major strategic decision to advance the country’s governance system and capabilities for modernization, informatization and intelligence. This manuscript aims to integrate social events based on encyclopedias, national standards, social events extracted from social networks and social events discovered by the general public in order to realize modern social governance. By establishing a massive knowledge network, it is possible to analyze and manage the hierarchical classification of events, things and organizations, as well as make flexible decisions about social events through a combination of automation, semi-automation and manual processes, ensuring that events are quickly and accurately pushed to appropriate staff for survey, processing and real-time feedback. This study is expected to be more effective in assisting social governance and facilitating the simultaneous transfer of urban management information among all participants. Simultaneously, the system will be used for carbon emission reduction management, enabling intelligent carbon emission reduction management, enhancing carbon emission reduction management efficiency and injecting new impetus into the world’s new path of green development in the post-epidemic era, thereby affecting international carbon emission reduction action, global industrial development patterns and even geopolitical economic ecology.