Measuring CO2 emissions performance of China's construction industry: A global Malmquist index analysis

Cheng, Min; Lu, Yujie; Zhu, Hongrui

doi:10.1016/j.eiar.2021.106673

Cited by 41 publications

(9 citation statements)

References 44 publications

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“…However, as China continues to expand in construction and infrastructural developments, more cement and steel products will be needed to satisfy the increased demand in construction product delivery [34]. Cement and steel are two of the most critical construction materials required in the construction process [60], indicating an expected rise in consumption due to the increasing urbanization and economic development boom in China. Therefore, it is expedient to find methods of improving the carbon-contentand CO 2 -emission-generating potentials of both materials by finding alternative construction materials that can serve similar functional requirements and enhance manufacturing.…”

Section: Discussion Of Findingsmentioning

confidence: 99%

A Hybrid Framework for Direct CO2 Emissions Quantification in China’s Construction Sector

Ogungbile

Shen

Wuni

et al. 2021

IJERPH

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Carbon emission quantifications in China are not consistent, with many standards and methods having been used over the years. This study identified the non-consideration of China-specific technology and databases as a factor limiting comprehensive quantification. The study aimed to comprehensively quantify regional direct CO2 emission in the industry using a hybrid of economic and environmental data. We retrieved nineteen (19) sets of fossil fuel and electricity data from provincial energy yearbooks between 1997 and 2015 for the study. To generate regression models for each of the six regional construction industries in China, the study further integrated the results with three sets of econometric data: total annual construction output, cement, and steel product yearly consumption data. The study identified the North China region as the main source of direct CO2 emission with over 30%, while Southeast China contributed the least. While there is a gradual shift to other energy sources, the study identified coal and crude oil to remain as the main energy sources in the industry. Cement and steel data exhibited a significant predictive relationship with CO2 emissions in five regional construction industries. The study identified the need to have policies tailored to technological improvements to enhance renewable energy generation and usage in the industry. The models developed in this study could be used to generate initial quantifications of carbon emissions in construction industries with similar carbon-emitting characteristics for carbon tracking, and energy policies for decision making. However, the three economic indicators used in the study could be extended to generate more robust models in future research.

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Section: Discussion Of Findingsmentioning

confidence: 99%

A Hybrid Framework for Direct CO2 Emissions Quantification in China’s Construction Sector

Ogungbile

Shen

Wuni

et al. 2021

IJERPH

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show abstract

“…Scholars have extensively explored the assessment of energy performance and carbon efficiency of the logistics industry [ 35 , 36 ]. Carbon efficiency refers to the extent to which economic production activities, at a given input level, can maximize the reduction of carbon dioxide emissions while maximizing the desired output [ 37 ]. Similarly, energy performance reflects the extent to which economic production activities, at given input and expected output levels, can maximize the reduction of energy input.…”

Section: Literature Reviewmentioning

confidence: 99%

Efficiency measurement and inefficiency analysis of low-carbon logistics in the Beijing–Tianjin–Hebei region, China

Yao,

Wang,

Guo

et al. 2024

Heliyon

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“…Their results showed that the east region exhibits the highest carbon emission efficiency of the construction industry, followed by the central and western regions [27]. Some other scholars have employed the non-radial DDF model [28] and the global Malmquist index [29] to measure the carbon emission efficiency of the construction industry from both static and dynamic aspects, respectively. In terms of influencing factors exploration, Zhou et al measured the carbon emission efficiency of the construction industry by adopting a super-efficient SBM model, and then investigated the internal drivers and cross-industry shock effects of carbon emission efficiency in the construction industry via an industry GVAR model [30].…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial Correlation Network Structure of Carbon Emission Efficiency in China’s Construction Industry and Its Formation Mechanism

Gao

et al. 2023

Sustainability

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In the context of “carbon peak, carbon neutrality”, it is important to explore the spatial correlation network of carbon emission efficiency in the construction industry and its formation mechanism to promote regional synergistic carbon emission reduction. This paper analyzes the spatial correlation network of carbon emission efficiency in China’s construction industry and its formation mechanism through the use of the global super-efficiency EBM model, social network analysis, and QAP model. The results show that (1) the national construction industry’s overall carbon emission efficiency is steadily increasing, with a spatial distribution pattern of “high in the east and low in the west”. (2) The spatial correlation network shows a “core edge” pattern. Provinces such as Jiangsu, Zhejiang, Shanghai, Tianjin, and Shandong are at the center of the network of carbon emission efficiency in the construction industry, playing the role of “intermediary” and “bridge”. At the same time, the spatial correlation network is divided into four plates: “bidirectional spillover plate”, “main inflow plate”, “main outflow plate”, and “agent plate”. (3) Geographical proximity, regional economic differences, and urbanization differences have significant positive effects on the formation of a spatial correlation network. At the same time, the industrial agglomeration gap has a significant negative impact on the formation of such a network, while energy-saving technology level and labor productivity differences do not show any significant effect.

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Measuring CO2 emissions performance of China's construction industry: A global Malmquist index analysis

Cited by 41 publications

References 44 publications

A Hybrid Framework for Direct CO2 Emissions Quantification in China’s Construction Sector

A Hybrid Framework for Direct CO2 Emissions Quantification in China’s Construction Sector

Efficiency measurement and inefficiency analysis of low-carbon logistics in the Beijing–Tianjin–Hebei region, China

Spatial Correlation Network Structure of Carbon Emission Efficiency in China’s Construction Industry and Its Formation Mechanism

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