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A Study on the Development Prospects of Green and Low-Carbon Construction: Evidence from Chongqing, China

グリーン・低炭素建設の発展展望に関する研究:中国重慶からのエビデンス (AI 翻訳)

Fakhri Alam, Awais Salman, Dong Bo, Bakht Ali, Rooshna Shahid

Trends in Ecological and Indoor Environmental Engineering📚 査読済 / ジャーナル2026-03-30#省エネOrigin: CN経営インパクト: コスト削減対象セクター: construction
DOI: 10.62622/teiee.026.4.1.01-10
原典: https://www.teiee.net/pdf-216494-134126?filename=A-Study-on-the-Developmen.pdf
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🤖 gxceed AI 要約

日本語

本研究は中国重慶の建設業界におけるグリーン・低炭素技術導入の促進要因と障壁を調査。文献レビューと100社へのアンケート調査により、エネルギー最適化や投資収益率向上などの促進要因と、 affordabilityや需要不足などの障壁を特定。また、建設機械の二酸化炭素排出量を計算し、タイヤロー�ーが最大排出機械であることを示した。

English

This study examines enablers and challenges for green and low-carbon building technology in Chongqing, China. Through literature review and survey of 100 construction companies, it identifies key enablers (e.g., energy optimization, improved ROI) and challenges (e.g., affordability, low demand). It also calculates carbon emissions from construction machinery, with tire loaders as the top emitter.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

中国重慶の建設業界における低炭素技術導入の障壁と促進要因を分析しており、日本の建設業界にも参考になる。特にSSBJやScope3対応で建設機械のカーボンフットプリント算定が求められる中、機械別の排出係数データの不足を指摘する点は日本でも重要。

In the global GX context

This paper provides empirical evidence from a Chinese megacity on green building adoption, relevant for global construction decarbonization. It highlights the scarcity of carbon emission factors for non-road construction equipment, a gap also faced under ISSB/CSRD reporting requirements.

👥 読者別の含意

🔬研究者:Provides empirical enabler/challenge factors and carbon emission data for construction equipment, useful for further studies on green building adoption.

🏢実務担当者:Lists practical enablers like energy optimization and challenges like affordability that construction firms can consider in low-carbon transition.

🏛政策担当者:Identifies government support as key enabler and limited stakeholder awareness as barrier, informing policy design for green building incentives.

📄 Abstract(原文)

Background: With the fast expansion of the social economy and construction industry, environmental pollution, ecological deterioration, and other challenges are becoming more and more serious. The construction industry is a significant contributor to environmental pollution, generating 40% of total solid waste in developed countries and accounting for 30% of global greenhouse gas emissions. Eco-friendly measures must be adopted to design and create environmentally responsible buildings that consume fewer resources throughout their existence. Green construction technologies may be used as an effective technique for implementing sustainability in the construction sector. This growing emphasis on carbon reduction may explain the heightened public awareness and interest in the development of low-carbon buildings. Objectives: The objective of this study is to investigate the benefits and application of green and low-carbon technology in developing countries such as China (Chongqing), where construction activities are primarily performed by Chinese companies and Chinese stakeholders. Our primary target is to find sustainable factors that encourages public to employ green and low-carbon building technologies. Considering above facts, the proposed study attempts to provide answers to the following questions: which enablers and challenges contribute to the adoption of green and low-carbon building technology; how to assess sustainable green and low-carbon building technology enablers under data uncertainty; how to find an interdependent relationship among the enablers. Methods: A systematic literature review (SLR) offers an overview of the research's scope. In total twenty-eight drivers and fifteen challenges of green and low-carbon building technology and sustainable construction were reported from 91 selected articles, and research questions were assessed and evaluated. Following that, primary data was collected through a two-step process involving a questionnaire survey (analysed using statistical software,) and factor analysis. The sample was collected from registered building companies listed in China's Ministry of Housing (Chongqing). The company's sample size in this study was 100 construction companies out of 400 chosen and 300 contacted persons, consists of professionals who are involve Engineers, truction as stakeholder, Project Managers, Architects, Civil Engineers and local literate people in these companies. Carbon emission values for each category of construction machinery were calculated using a standardized emission factor approach. Results: In total, 27 key enablers were identified through literature review and added to questionnaire to monitor the public response. The highest level of agreement, 40.96%, was recorded for "Optimization in energy and construction materials" (E18), indicating strong support for the incorporation and optimization of energy in construction materials. E18 reflects the most appropriate, sustainable, affordable, and trendy option to achieve green construction that offers little or no repercussions making it most voted enabler. Following E18, the factors representing the most valued enablers are "Enhance return on investment" (E25), "Improve safety and health" (E19), and "Environmentally friendly" (E17), with percentages of 39.36%, 39.10%, and 39.89%, respectively. The major challenges were mentioned as "affordability" and "lack of public demand" for green and smart buildings that produced same value of 38.30% highly agreed response. "Lack of knowledge and understanding" of green and low-carbon construction practices also marked as significant challenge with voted value 36.17% strongly agreed response, expressed a relatively low degree of disagreement. Mixed opinions were expressed regarding the "lack of client awareness". The most significant is Tire loader from Shovel and horizontal transport machinery carbon emitting 245.60 Kg/work, Self-raising tower crane from Hoisting and vertical lifting machinery emitting 201.32 Kg/work and grader from Compaction and pavement equipment with total emission 142.75 Kg/work. There is a scarcity of data on the carbon emissions of nonroad construction equipment and the relevant carbon emissions factors of the equipment. Conclusion: Government support, including building regulations, planning policies, and financial incentives such as subsidies and tax breaks was found to be a primary enabler, while limited stakeholder awareness and low market demand were major barriers. The study contributes new scientific knowledge by revealing nuanced interactions between enablers and challenges that previous research had not fully explored, particularly in the context of urban construction landscape of the study area.

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