中国建筑业碳排放时空特征及分省贡献

范建双,; Jianshuang, FAN; 周琳,; Lin, Zhenzhi

doi:10.18402/resci.2019.05.07

Cited by 5 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…碳排放量 [49] 作为结果变量来衡量建筑业碳锁定程度，包括建筑现场施工的直接碳排放及建筑材料生产运输阶段的上游产业链的间接碳排放。直接碳排放将原煤、焦炭、原油、汽油、煤油、柴油、燃料油、天然气、热力、电力 10 类能源作为统计对象，通过 IPCC 清单法测算，其中热力和电力的系数参考范建双等 [50] 、曹翔等 [51] 的研究，能源消耗量来自于对案例赋予集合隶属分数的过程就是校准 [46] 。使用模糊集将变量转化为集合隶属度需要预设 3 个锚点：完全隶属、中间点以及完全不隶属，转变后的集合隶属度介于 0~1 之间。根据以往的研究经验 [54] ，采用直接校准法并将 3 个锚点分别设定为样本数据的上四分位数、平均值以及下四分位 (表 2) 。…”

Section: 研究方法unclassified

A spatiotemporal analysis of carbon lock-in effect in China’s provincial construction industry

Hong¹,

LIU²,

CHEN³

2022

资源科学

View full text Add to dashboard Cite

Carbon neutrality in construction industry is one of the most important parts in the process of realizing national carbon neutrality. Therefore, it is necessary to explore the high-carbon dependency pattern of regional construction industry in the process of economic development. This study quantified carbon lock-in effect in provincial construction industry from the four dimensions of technology, environment, economy, and society. Based on the panel data of 30 provinces in China' s mainland from 2000 to 2018, this study examined the carbon lock-in effect in provincial construction industry by using the fuzzy-set qualitative comparative analysis method. Furthermore, this study uncovered the spatial-temporal evolutionary process and dependence pathways of carbon lock-in in provincial construction industry by adopting the panel data set theory. The results show that: (1) The six high-carbon paths that drive carbon lock-in effect in provincial construction industry can be categorized into four typical types: Institutional lock-in, industrial lock-in, technology lock-in, and social lock-in. Improvement of industrialization level, growth of residents' consumption, rapid expansion of urbanization, and lack of environmental regulation are the main driving factors leading to the high carbon lock-in of the construction industry. (2) The four lowcarbon paths of the construction industry can be categorized into three types: low urbanization and low innovation, high technology investment and low innovation, and high technology investment and high innovation. (3) There exists great temporal and spatial heterogeneity in the carbon lock-in effect of provincial construction industry. The carbon lock-in effect has been strengthened while the low carbon model has been weakened over time. Moreover, there are great differences in the high-carbon dependence pathways between different provinces. The results of this research are helpful for formulating the carbon peaking time map, road map, and implementation map in the construction sectors at the local level, and are of great significance for realizing the regional independent exploration of low-carbon development path and the realization of the carbon peaking and carbon neutrality goals.

show abstract

Section: 研究方法unclassified

A spatiotemporal analysis of carbon lock-in effect in China’s provincial construction industry

Hong¹,

LIU²,

CHEN³

2022

资源科学

View full text Add to dashboard Cite

show abstract

“…2016 年后呈现下降趋势 [16] 。 (二)建筑业碳排放空间特征我国不同区域的建筑业碳排放空间特征差异明显，呈现出显著的自南向北、自西向东递增的分布态势，区域间差异较大 [17] 。我国建筑业碳排放量自…”

unclassified

Countermeasures for Low-Carbon Transformation of Construction Industry in China Toward the Carbon Peaking and Carbon Neutrality Goals

Wu,

Huang,

Chen

et al. 2023

Strategic Study of CAE

View full text Add to dashboard Cite

Carbon emission reduction in the construction industry is crucial for promoting low-carbon transformation of the industry and for realizing the carbon peaking and carbon neutrality goals. This study analyzes the current status of carbon emissions in Chinese construction industry. It identifies that the production of building materials and the operation of buildings are the primary sources of carbon emissions in the overall construction process. Moreover, the growth rate of carbon emissions from the construction industry in China is decelerating, and the spatial characteristics of carbon emissions demonstrate an increase from the south to the north and from

show abstract

Exploring spatial heterogeneity and factors influencing construction and demolition waste in China

Wang

Zhang

Liu

2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

Natural disasters, new urbanization and urban renewal activities generated a large amount of construction and demolition waste (C&DW), and managing C&DW has become an urgent problem to be solved in the construction of "Zero-waste cities". Based on the calculation of C&DW generation in China from 2005 to 2019, this study analyzed the temporal and spatial characteristics of C&DW generation in China, and empirically explored the factors influencing factors C&DW of China using spatial autocorrelation and geographically weighted regression. The results showed that: (1) C&DW generation in China increased every year, and the overall distribution was characterized as "high in the east and low in the west", with distinct regional differences. The provinces with the highest per capita C&DW generation were Zhejiang, Jiangsu, Beijing, Shanghai, and Fujian. The generation intensity of C&DW in China and all its provinces showed a decreasing trend every year. The regions with rapid growth of C&DW generation in China were concentrated in the eastern coastal areas, with distinct differences between the east and west, and there was significant spatial heterogeneity in the growth trend.(2) There is a significant spatial autocorrelation in C&DW generation in China. Overall, the hot spots for C&DW generation were distributed in Jiangsu, Zhejiang, and Shandong provinces, and the spatial agglomeration effect of C&DW generation in provinces was evident. (3) Factors such as population size, per capita Gross Domestic Product and the scale of the construction industry played a positive role in promoting C&DW generation in each province, whereas labor efficiency played a negative role inhibiting C&DW generation; there was significant temporal and spatial heterogeneity. Finally, differentiation and cross-regional joint treatment strategies according to regional conditions were proposed to achieve precise measures of C&DW reduction management.

show abstract

中国建筑业碳排放时空特征及分省贡献

Abstract: Spatiotemporal distribution and provincial contribution decomposition of carbon emissions for the construction industry in China[J].

Cited by 5 publications

References 7 publications

A spatiotemporal analysis of carbon lock-in effect in China’s provincial construction industry

A spatiotemporal analysis of carbon lock-in effect in China’s provincial construction industry

Countermeasures for Low-Carbon Transformation of Construction Industry in China Toward the Carbon Peaking and Carbon Neutrality Goals

Exploring spatial heterogeneity and factors influencing construction and demolition waste in China

Contact Info

Product

Resources

About

中国建筑业碳排放时空特征及分省贡献

Abstract: Spatiotemporal distribution and provincial contribution decomposition of carbon emissions for the construction industry in China[J].

Cited by 5 publications

References 7 publications

A spatiotemporal analysis of carbon lock-in effect in China&#x02019;s provincial construction industry

A spatiotemporal analysis of carbon lock-in effect in China&#x02019;s provincial construction industry

Countermeasures for Low-Carbon Transformation of Construction Industry in China Toward the Carbon Peaking and Carbon Neutrality Goals

Exploring spatial heterogeneity and factors influencing construction and demolition waste in China

Contact Info

Product

Resources

About

A spatiotemporal analysis of carbon lock-in effect in China’s provincial construction industry

A spatiotemporal analysis of carbon lock-in effect in China’s provincial construction industry