Can buildings sector achieve the carbon mitigation ambitious goal: Case study for a low-carbon demonstration city in China?

Wang, Jiajia; Huang, Yelin; Teng, Yue; Yu, Bo; Wang, Jiayuan; Zhang, Hui; Duan, Huabo

doi:10.1016/j.eiar.2021.106633

Cited by 51 publications

(8 citation statements)

References 41 publications

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“…The government may mobilize resources from other federal agencies to mitigate significant regional discrepancies, but local and state governments have little to no say. It is not always safe to assume that a local level of government would deliver better public services than a national one (Wang et al 2021a , b ). To achieve the necessary economies of scale, several essential facilities must be vast and exceedingly technological (Li et al 2022 ).…”

Section: Literature Reviewmentioning

confidence: 99%

RETRACTED ARTICLE: Role of financial decentralization on carbon taxation and carbon emission: Way forwards for economic recovery

Zeng

Zhao

2023

Environ Sci Pollut Res

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The study intends to assess the role of financial decentralization on carbon taxation and carbon emission to recommend the way forwards for economic recovery. To estimate the nexus, study applied the cointegration analysis technique, CGE estimation model, long-run analysis using t-CGE model, and robustness analysis technique on Chinese data. Research findings declare that financial decentralization has significant role on extending the carbon taxation in China and financial decentralization supported 14.92% to expand carbon taxation throughout the Chinese industries. In such industries, pollution emission industries are the top of the list including transportation industry and other manufacturing companies. Overall, manufacturing industries size is about 78% and 11% size of transportation industry is included. Correspondingly, the findings also revealed that financial decentralization supports climate change mitigation with 29% and carbon taxation limits carbon emission with 44% in Chinese industries. Study directs to the stakeholders to enhance carbon taxation schemes in all sectors of the all the industries of China and come up with the viable policy action so that the desired sustainable development goals may achieve effectively. Hence, stakeholders need to consider recommendations of preceding research to enhance green economic recovery.

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Section: Literature Reviewmentioning

confidence: 99%

RETRACTED ARTICLE: Role of financial decentralization on carbon taxation and carbon emission: Way forwards for economic recovery

Zeng

Zhao

2023

Environ Sci Pollut Res

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“…In the first place, in the case of a city that is characterized by its immigrants, starting from the top-down was necessary. Despite Shenzhen's 17.56 million permanent residents, its census-registered population is only 5.84 million [50]. As a result of this difference in the city's population, most of the people living in Shenzhen have no sense of belonging to the community, making their willingness to participate in public affairs relatively low.…”

Section: Discussionmentioning

confidence: 99%

A New Top-Down Governance Approach to Community Gardens: A Case Study of the “We Garden” Community Experiment in Shenzhen, China

Zhang¹,

Pan

Wong

et al. 2022

Urban Science

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Over the past few decades, development in China (including Shenzhen) has been led by the State, meaning that the government has been responsible for major decisions in urban construction and management. However, the current enormous contradiction between people’s demand for livability and Shenzhen’s unequal and inadequate urban development means that leaving all the administrative work to the government alone has become unsustainable. Since 2020, Shenzhen has introduced a new urban management approach called “We Garden”, in which the government supports public participation aimed to transform idle public lands into green spaces in the form of community gardens. Because this ongoing but novel community garden experiment is a recent development in China, literature investigating the phenomenon context, especially the associated motivations and governance structure, remains scarce. This paper aims to clarify the governance structure and operation mechanism of the Shenzhen community garden program through all stages: from planning and design through construction or implementation to management. Fieldwork with active participation, direct observation, and semi-structured, qualitative interviews as participant in a nonprofit organization revealed that the Shenzhen experiment was driven by urban environmental public governance rather than individual needs. The community garden development approach is a new top-down governance structure that expands on existing governance types in the literature, while emphasizing the key role that nonprofit organizations play in the process. Therefore, this new governance approach expands beyond the environmental improvement of urban communities, serving as a new mechanism for sustainable public participation in urban environmental protection.

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“…The term low-carbon and green buildings refer to structures that combine environmental protection, green environmental protection, the construction industry, low-carbon energy conservation, and low-carbon technologies [7]. Using high-performance construction covers, energy-efficient ventilation, heating, and air conditioning, as well as energy-efficient lighting, appliances, and technologies that gather on-site renewable energy sources, are all hallmarks of low-carbon buildings [8]. Carbon footprint defines the overall quantity of carbon dioxide (CO2) emission caused by a structure's use and maintenance [9].…”

Section: Introductionmentioning

confidence: 99%

Project management mode under the concept of low carbon environmental protection and its value in intelligent construction

Xiang

Zhang

et al. 2023

Preprint

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Rapid urbanization and climate change are intertwined, making decarbonization of the built environment paramount to stabilizing the future. The commercial and residential sectors generate nearly one-third of carbon emissions. Unexpected fluctuations in operational environments face the flexibility, efficiency, and resilience of building-incorporated energy systems due to climate change and its concerns. Instead, the rapid improvement of Machine Learning (ML) and Artificial Intelligence (AI) has equipped the construction industry with the capability to learn. This paper suggests a Machine learning-based Carbon Footprint Modeling (ML-CFM) to forecast the CO₂ emissions and energy consumption in intelligent constructions. The data has been collected from the World CO2 Emissions analysis dataset for predicting the carbon emission in residential buildings. A new method based on Deep Neural Networks (DNN) can detect the overall carbon footprint of an intelligent construction design based on the urban layout and building features. A building’s structural characteristics had the most influence on CO2 emissions and energy consumption, followed by the appropriate micro-climate, socioeconomic conditions, and the provincial climate. The ML-CFM is the most effective forecasting model for predicting carbon emission and energy consumption reduction, which offers building managers a valuable tool to enhance decision-making levels and energy efficiency in smart buildings.

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Can buildings sector achieve the carbon mitigation ambitious goal: Case study for a low-carbon demonstration city in China?

Cited by 51 publications

References 41 publications

RETRACTED ARTICLE: Role of financial decentralization on carbon taxation and carbon emission: Way forwards for economic recovery

RETRACTED ARTICLE: Role of financial decentralization on carbon taxation and carbon emission: Way forwards for economic recovery

A New Top-Down Governance Approach to Community Gardens: A Case Study of the “We Garden” Community Experiment in Shenzhen, China

Project management mode under the concept of low carbon environmental protection and its value in intelligent construction

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