Ecological relationships of global construction industries in sustainable economic and energy development

Liu, Bin; Gao, Qun; Liang, Lingfeng; Sun, Jide; Liu, Chunlu; Xu, Youquan

doi:10.1016/j.energy.2021.121249

Cited by 21 publications

(10 citation statements)

References 47 publications

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“…Renewable biomaterials have the potential to meet the growing global demand for energy and reduced greenhouse gas emissions 1 . The construction industry is considered as one of the most carbon‐intensive industries, contributing up to 40% of total greenhouse gas emissions when the amount of carbon and energy consumed to operate buildings are considered 2,3 . In addition to operational carbon, the factors affecting the energy consumption of the construction industry include transportation, manufacturing, disposal, and building materials.…”

Section: Introductionmentioning

confidence: 99%

“…1 The construction industry is considered as one of the most carbon-intensive industries, contributing up to 40% of total greenhouse gas emissions when the amount of carbon and energy consumed to operate buildings are considered. 2,3 In addition to operational carbon, the factors affecting the energy consumption of the construction industry include transportation, manufacturing, disposal, and building materials. In building and civil construction, raw materials extracted from the lithosphere account for 60% of the total raw material consumption.…”

Section: Introductionmentioning

confidence: 99%

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Potential of wood as thermal energy storage materials: Different characteristics depending on the hierarchical structure and components

Nam

Yun

Choi

et al. 2022

Intl J of Energy Research

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Summary Renewable biomaterials are in the spotlight as a potential solution to increasing global greenhouse gas emissions. The construction industry contributes up to 40% of greenhouse gas emissions, with building materials responsible for a major portion. Research on high‐performance materials with small carbon footprints has been steadily progressing. Wood is a sustainable building material with a high carbon fixation. Wood can be divided into the hard core and outer bark, both of which are very useful as building materials. In this study, a phase change material (PCM) was applied using vacuum impregnation to compensate for the poor thermal performance of wood. The thermal energy storage capacity of wood can be enhanced by applying aPCM, which has excellent latent heat/heat storage performance. The difference in the structural and chemical compositions of the core and bark of wood also has a significant influence onPCM impregnation. The thermal performance of shape‐stabilized PCMs (SSPCMs) was evaluated by comparing the hierarchical structures and components of wood (core and bark). The PCM loading performance was verified by impregnation and surface/morphological property conversion analyses. When the porous structure of wood is filled with the PCM, its surface properties change from hydrophilic to hydrophobic. This was analyzed by contact angle measurements. The SSPCM with cork showed a 49% efficiency compared with the n‐octadecane, which indicates an outstanding performance compared with other biomaterial‐based PCM composites.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Potential of wood as thermal energy storage materials: Different characteristics depending on the hierarchical structure and components

Nam

Yun

Choi

et al. 2022

Intl J of Energy Research

View full text Add to dashboard Cite

show abstract

“…The construction industry drives the rapid growth of the national economy and occupies an important position (Du et al. , 2019; Liu et al. , 2021a; Chancellor and Lu, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Urbanization is one of the main drivers of socioeconomic development and modernization (Zhang and Wang, 2018;Cai et al, 2020). The construction industry drives the rapid growth of the national economy and occupies an important position (Du et al, 2019;Liu et al, 2021a;Chancellor and Lu, 2016). Over the past several decades, society has experienced substantial transformation characterized by urbanization and development of construction industry, both of which provide fundamental forces for social progress and sustainable development.…”

Section: Introductionmentioning

confidence: 99%

Coupling coordination degree spatiotemporal characteristics and driving factors between new urbanization and construction industry: evidence from China

et al. 2022

ECAM

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PurposeThe coordinated development of the urbanization and construction industry is crucial for the sustainable development of cities. However, the coupling relationship and coordination mechanism between them remain unclear. To bridge this gap, this study attempts to explore the level of coupling coordination between new urbanization and construction industry development and investigate the critical driving factors influencing their coupling coordination degree.Design/methodology/approachBy referring to the existing literature, two index systems were established to evaluate the development level of the new urbanization and construction industry. The spatiotemporal characteristics of the coupled coordinated development of the new urbanization and construction industry in China from 2014 to 2020 were investigated using the coupling coordination model. The Markov chain and geographic detector were adopted to understand the transition probability and driving factors of the coupling coordination degree.FindingsThe results indicate that the coupling degree of China's new urbanization and construction industry is high, and the two systems exhibit obvious interaction phenomena. However, the construction industry in most provinces lags behind the new urbanization. A positive interactive relationship and coordination mechanism has not been established between the two systems. Furthermore, the coupling contribution degree of the driving factors from high to low is as follows: market size > labor resource concentration > government investment ability > economic development level > industrial structure > production efficiency > technology level. Accordingly, a driving mechanism including market, policy, economic, and production technology drivers was developed.Originality/valueThis study contributes to the existing body of knowledge by providing a set of scientific analysis methods to address the deficiency of coordination mechanism research on new urbanization and the construction industry. The results also provide a theoretical basis for decision makers to develop differentiated sustainable development policies.

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“…Although China has made great achievements in education and economic development, on the whole, China has a vast territory, the development situation and relevant policies are different in various regions, and there are great differences in the education level and economic development in various regions [10][11][12]. Moreover, the education level in most areas lags behind the local economic development level, which not only does not give full play to the role of education in promoting economic development but also seriously hinders the further development of the local economy [13][14][15]. erefore, this article proposes an empirical study on the relationship between education and economic development based on the PVAR model.…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study on the Relationship between Education and Economic Development Based on PVAR Model

Sun

2021

Scientific Programming

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In order to effectively analyze the dynamic relationship between education and economic development, an empirical study on the relationship between education and economic development based on the PVAR model is proposed. This article expounds on the principles, assumptions, identification, and estimation methods of the PVAR model, takes the education level and economic development level as the research object, explains the corresponding variables, and selects the indicators. Using Cobb–Douglas production function as a theoretical model, this article analyzes the theoretical relationship between the education level and economic development level. Based on this theoretical relationship, this article makes an empirical analysis on the relationship between education level and economic development level using the PVAR model. The results show that, on the whole, economic development can drive the development of education, but there are obvious regional differences in the impact of economic growth on the development of education. The impact of economic growth in the eastern region on education is significantly higher than that in the central and western regions. There is an interactive relationship between education level and economic development level, and there is a certain incubation period for education level and economic development level to play their role.

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Ecological relationships of global construction industries in sustainable economic and energy development

Cited by 21 publications

References 47 publications

Potential of wood as thermal energy storage materials: Different characteristics depending on the hierarchical structure and components

Potential of wood as thermal energy storage materials: Different characteristics depending on the hierarchical structure and components

Coupling coordination degree spatiotemporal characteristics and driving factors between new urbanization and construction industry: evidence from China

An Empirical Study on the Relationship between Education and Economic Development Based on PVAR Model

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