Gauging the impacts of urbanization on CO2 emissions from the construction industry: Evidence from China

Zhang, Shengxi; Li, Zhongfu; Ning, Xin; Li, Long

doi:10.1016/j.jenvman.2021.112440

Cited by 144 publications

(64 citation statements)

References 61 publications

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“…Consequently, the multiple-center property of the city was better presented in NUBAI, which was consistent with the findings in other studies [46,47]. (3) The combination (multiplication) of multiple normalized MODIS products made the distribution of values more dispersed rather than concentrated in the high values (values in the normalized night light images were mostly above 0.90). As a result, the thresholds were lower (all around 0.30), more stable and reliable (the thresholds did not appear where the values were very concentrated, like in the night light images).…”

Section: Major Findings From the Experimentssupporting

confidence: 90%

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A Fused Variable by Night Light Images and MODIS Products for Improving Urban Built-Up Area Extraction

Guang

2021

Technologies

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The boundary of urban built-up areas is the baseline data of a city. Rapid and accurate monitoring of urban built-up areas is the prerequisite for the boundary control and the layout of urban spaces. In recent years, the night light satellite sensors have been employed in urban built-up area extraction. However, the existing extraction methods have not fully considered the properties that directly reflect the urban built-up areas, like the land surface temperature. This research first converted multi-source data into a uniform projection, geographic coordinate system and resampling size. Then, a fused variable that integrated the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) night light images, the Moderate-resolution Imaging Spectroradiometer (MODIS) surface temperature product and the normalized difference vegetation index (NDVI) product was designed to extract the built-up areas. The fusion results showed that the values of the proposed index presented a sharper gradient within a smaller spatial range, compared with the only night light images. The extraction results were tested in both the area sizes and the spatial locations. The proposed index performed better in both accuracies (average error rate 1.10%) and visual perspective. We further discussed the regularity of the optimal thresholds in the final boundary determination. The optimal thresholds of the proposed index were more stable in different cases on the premise of higher accuracies.

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Section: Major Findings From the Experimentssupporting

confidence: 90%

“…China is now in a period of rapid urbanization [1][2][3], which has an impact on the gravity of different human dynamics [4]. Accurate acquisition of urban built-up areas is an important guidance for China's urban construction, management and research.…”

Section: Introductionmentioning

confidence: 99%

A Fused Variable by Night Light Images and MODIS Products for Improving Urban Built-Up Area Extraction

Guang

2021

Technologies

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“…Environmental variables refer to the uncontrollable factors that affect the efficiency of China's construction industry. Based on the existing relevant researches [41] and the features of construction industry, the authors select the following variables as environmental variables.…”

Section: Selection Of Environmental Variablementioning

confidence: 99%

Regional Variation in the Carbon Dioxide Emission Efficiency of Construction Industry in China: Based on the Three-Stage DEA Model

Wei-zhong

2021

Discrete Dynamics in Nature and Society

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China’s construction industry emits a huge amount of carbon dioxide with the extensive and rapid development, and the carbon dioxide emissions from construction sector have become a social problem. This article evaluates the carbon dioxide emission from China’s regional construction industry by the three-stage DEA method. The research results indicate that the environmental factors and random error seriously affect the carbon dioxide emission efficiency of construction industry. Eliminated the above factors, the mean of the carbon dioxide emission efficiency has the tendency of rising firstly and then decreasing, which increased from 0.67 in 2010 to 0.76 in 2014 and then decreased to 0.66 in 2019 in the third stage. On the whole, China’s regional construction industry has the low carbon dioxide emission efficiency. In the regions, the Eastern region has the highest technology efficiency value among the three regions, followed by the Middle region and the West region. Therefore, the key method to increase the carbon emission efficiency of construction industry is to improve the management efficiency and change the growth mode.

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“…Few scholars study the association of urbanization and CO2 emissions from buildings, especially during the operation phase of buildings. (Zhang et al 2021) establishes urbanization indicators from three aspects including population, economic, and technology. And to study the urbanization effects on building CO2 emissions, taking region-specific heterogeneity into account.…”

Section: Literature Reviewmentioning

confidence: 99%

Study on the impact of comprehensive urbanization on urban civil building CO2 emissions in China

Guo

et al. 2021

Environ Sci Pollut Res

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With the rapid development of China, urbanization has become an important research topic of China's CO2 emissions.To fill the gap in considering the spatial correlation of the comprehensive urbanization that includes multi-dimensional factors on CO2 emissions from the operation phase of urban civil buildings (ubec). This study constructs a comprehensive evaluation indicator of urbanization from four aspects including population, economy, society and land urbanization by using the entropy method. The spatial spillover effect of ubec and the impact of comprehensive urbanization on ubec are also studied by using the spatial panel model in this paper. This study finds out that ubec has obvious spatial spillover effects. During the early years of the study period, the eastern coastal areas had greater carbon emissions, while in recent years they have gradually transitioned to the northwestern regions. Comprehensive urbanization has a significant promotion effect on it. And foreign direct investment and per capita energy consumption also have positive impact on ubec. This study provides a reference for measuring the effects of urbanization on sector-specific CO2 emissions and maybe useful for energy efficiency and emission abatement efforts in China.

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Gauging the impacts of urbanization on CO2 emissions from the construction industry: Evidence from China

Cited by 144 publications

References 61 publications

A Fused Variable by Night Light Images and MODIS Products for Improving Urban Built-Up Area Extraction

A Fused Variable by Night Light Images and MODIS Products for Improving Urban Built-Up Area Extraction

Regional Variation in the Carbon Dioxide Emission Efficiency of Construction Industry in China: Based on the Three-Stage DEA Model

Study on the impact of comprehensive urbanization on urban civil building CO2 emissions in China

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