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

Ogungbile, Adedayo Johnson; Shen, Geoffrey Qiping; Wuni, Ibrahim Yahaya; Xue, Jin; Hong, Jiman

doi:10.3390/ijerph182211965

Cited by 5 publications

(3 citation statements)

References 49 publications

(60 reference statements)

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“…The analysis above demonstrates that for the estimation of net carbon emissions, the total amount of carbon sources far exceeded the number of carbon sinks, and the carbon emissions of energy consumption carried by construction land were the main carbon sources, and this finding is consistent with previous studies [ 82 , 83 , 84 ]. However, by comparison, our analysis of the decoupling between net carbon emissions and construction land reveals that in the first three periods, the growth rate of net carbon emissions was faster than that of construction land.…”

Section: Discussionsupporting

confidence: 90%

Estimating the Decoupling between Net Carbon Emissions and Construction Land and Its Driving Factors: Evidence from Shandong Province, China

Liu

et al. 2022

IJERPH

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Human activities and land transformation are important factors in the growth of carbon emissions. In recent years, construction land for urban use in China has expanded rapidly. At the same time, carbon emissions in China are among the highest in the world. However, little is known about the relationship between the two factors. This study seeks to estimate the carbon emissions and carbon sequestrations of various types of land based on the land cover data of 137 county-level administrative regions in Shandong Province, China, from 2000 to 2020.The study estimated the carbon emissions for energy consumption using energy consumption data and night-time light images, hence, net carbon emissions. The Tapio decoupling coefficient was used to analyze the decoupling between the net carbon emissions and construction land, and where the model for the decoupling effort was constructed to explore the driving factors of decoupling. The results showed that net carbon emissions in Shandong Province continued to increase, and the areas with high carbon emissions were concentrated primarily in specific districts of the province. The relationship between net carbon emissions and construction land evolved from an expansive negative decoupling type to a strong negative decoupling type. Spatially, most areas in the province featured an expansive negative decoupling, but the areas with a strong negative decoupling have gradually increased. The intensive rate of land use and efficiencies in technological innovation have restrained carbon emissions, and they have contributed to an ideal decoupling situation. Although the intensity of carbon emission and the size of the population have restrained carbon emissions, efforts towards decoupling have faded. The degree of land use has facilitated carbon emissions, and in recent years, efforts have been made to achieve an ideal decoupling. The method of estimation of net carbon emissions devised in this research can lend itself to studies on other regions, and the conclusions provide a reference for China, going forward, to balance urbanization and carbon emissions.

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Section: Discussionsupporting

confidence: 90%

Estimating the Decoupling between Net Carbon Emissions and Construction Land and Its Driving Factors: Evidence from Shandong Province, China

Liu

et al. 2022

IJERPH

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“…Some articles have conducted an in-depth analysis of CE at the sectoral level [34][35][36]. Diakoulaki and Mandaraka [37] examine the changes in industry CE in EU countries from 1990 to 2003 and point out that production, EI, fuel mix, and utility mix are the main factors affecting CE.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysing the Effect of Energy Intensity on Carbon Emission Reduction in Beijing

Zeng

et al. 2023

IJERPH

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Beijing has experienced rapid economic development since the reforms and opening up. However, the traditional development model based on excessive energy consumption has posed great challenges to the ecological environment. To curb environmental degradation and achieve sustainable social development, Beijing has proposed to achieve carbon neutrality by 2050. As an important indicator of energy consumption, it is necessary to clarify how energy intensity (EI) affects carbon emissions (CE) to achieve carbon neutrality in Beijing by 2050. This study first decomposes the drivers of CE in Beijing from 2010 to 2020 using the logarithmic mean Divisia index (LMDI) method and comparatively analyses the impact of EI on CE. Then, the spatial Dubin model (SDM) is used to analyse the spatial spillover effect of EI on CE at the regional level. Finally, the macro moderating role of economic development in the effect of EI on CE is analysed. The results show that the effect of EI has been the main driver of CE reduction in Beijing. Among the industrial sectors, manufacturing and transportation have had the greatest success in reducing CE through EI reduction. At the regional level, there is a spatial spillover effect of EI on CE, and the effect of carbon reduction through the spillover effect of EI is greater than the direct effect of EI. Economic factors have an enhanced moderating effect on the process of EI affecting CE, and this moderating effect has threshold properties.

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“…In 2007, China became the most significant CO 2 emitting nation [7]. Pressure on China to reduce CO 2 emissions caused the government to set a 17% CO 2 intensity reduction plan in its "12th Five-Year Plan" (2011)(2012)(2013)(2014)(2015) to cut carbon emissions across provinces [8]. According to Shen et al [9], the construction sectors in the Chinese provinces are significant drivers of CO 2 emissions in China.…”

Section: Of 31mentioning

confidence: 99%

A Hypothetical Extraction Method Decomposition of Intersectoral and Interprovincial CO2 Emission Linkages of China’s Construction Industry

et al. 2021

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Understanding the complex CO2 emissions in inter-sectoral and interregional interactions of the construction industry is significant to attaining sustainability in China. Many previous studies focused on aggregating the construction sector’s CO2 emissions on a national level, with the provincial characteristics and interactions often overlooked. Using extended environmental input–output tables, we adopted a hypothetical extraction method combined with extended-environmental multi-regional input–output tables for 2012, 2015, and 2017 data to decompose the CO2 emissions linkages in 30 provincial construction sectors. The provincial carbon emissions data from a complete system boundary informed the recategorization of China’s construction sector as a high-carbon-intensity industry. The interprovincial interactions results show relatively small backward CO2 emissions linkages compared to forward CO2 emissions linkages depicting the industry’s significant role in China’s economic growth and an essential target in CO2 emissions reduction plans. The provinces exhibited different impacts on the directional push–pull, with less developed provinces having one-way directional effects. The more developed provincial sectors behaved more like demand-driven industries creating an overall imbalance in CO2 emissions interaction between the sectors in interregional emission trades. We identified construction sectors in Gansu, Xingjian, Ningxia, and Inner Mongolia as the most critical, with more significant CO2 emissions interactions than other provinces. Improving the technical level in less developed provincial construction sectors, considering provincial characteristics in policy formulation, and a swift shift to renewable energy as a primary energy source would aid in reducing the emissions intensities in the construction sector, especially in the less developed provinces, and achieving China’s quest to reach a CO2 emissions peak by 2030.

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

Cited by 5 publications

References 49 publications

Estimating the Decoupling between Net Carbon Emissions and Construction Land and Its Driving Factors: Evidence from Shandong Province, China

Estimating the Decoupling between Net Carbon Emissions and Construction Land and Its Driving Factors: Evidence from Shandong Province, China

Analysing the Effect of Energy Intensity on Carbon Emission Reduction in Beijing

A Hypothetical Extraction Method Decomposition of Intersectoral and Interprovincial CO2 Emission Linkages of China’s Construction Industry

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