Exploring the mechanisms affecting energy consumption in the construction industry using an integrated theoretical framework: Evidence from the Yangtze River economic Belt
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作者:
Li, Xingwei
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Sichuan Agr Univ, Coll Architecture & Urban Rural Planning, Chengdu 611830, Peoples R ChinaSichuan Agr Univ, Coll Architecture & Urban Rural Planning, Chengdu 611830, Peoples R China
Li, Xingwei
[1
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Huang, Yicheng
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Sichuan Agr Univ, Coll Architecture & Urban Rural Planning, Chengdu 611830, Peoples R ChinaSichuan Agr Univ, Coll Architecture & Urban Rural Planning, Chengdu 611830, Peoples R China
Huang, Yicheng
[1
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机构:
[1] Sichuan Agr Univ, Coll Architecture & Urban Rural Planning, Chengdu 611830, Peoples R China
Significant environmental challenges remain due to growing construction industry energy consumption (CIEC). Most existing studies focus on energy consumption at the city level, neglecting industry-level perspectives. To clearly explain the CIEC mechanism in the Yangtze River Economic Belt (YREB), this study adopts panel data from the YREB collected by the Chinese government from 2004 to 2020 and constructs an analytical model of the CIEC impact mechanism. Through Granger causality, impulse response function, and variance decomposition analyses, we found that technological innovation has an inverted U-shape and the greatest impact on CIEC, with a contribution rate gradually increasing with the cycle, finally reaching 0.4 %. The impact of urban development and foreign direct investment on CIEC shows a gradual upward trend, with a final contribution rate of 0.3 %; and the impact of urban resident population on CIEC is very small, with a contribution rate of only 0.1 %. Therefore, this study provides a new theoretical framework for future research on energy consumption and a theoretical basis for CIEC management from a government and construction industry manager perspectives.
机构:
China Univ Geosci, Sch Econ & Management, Dept Big Data Sci & Appl Stat, Wuhan 430078, Peoples R ChinaChina Univ Geosci, Sch Econ & Management, Dept Big Data Sci & Appl Stat, Wuhan 430078, Peoples R China
Wang, Linzhu
Zhang, Runzi
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China Univ Geosci, Sch Econ & Management, Dept Big Data Sci & Appl Stat, Wuhan 430078, Peoples R ChinaChina Univ Geosci, Sch Econ & Management, Dept Big Data Sci & Appl Stat, Wuhan 430078, Peoples R China
Zhang, Runzi
Geng, Weina
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China Univ Geosci, Sch Econ & Management, Dept Big Data Sci & Appl Stat, Wuhan 430078, Peoples R ChinaChina Univ Geosci, Sch Econ & Management, Dept Big Data Sci & Appl Stat, Wuhan 430078, Peoples R China
机构:
Chongqing Normal Univ, Sch Econ & Management, Chongqing 401331, Peoples R ChinaChongqing Normal Univ, Sch Econ & Management, Chongqing 401331, Peoples R China
Zhang, Zeyi
Luo, Xuehua
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机构:
Shanghai Univ Finance & Econ, Sch Urban & Reg Sci, Shanghai 200433, Peoples R ChinaChongqing Normal Univ, Sch Econ & Management, Chongqing 401331, Peoples R China
Luo, Xuehua
Hu, Huiying
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机构:
Chongqing Normal Univ, Sch Econ & Management, Chongqing 401331, Peoples R ChinaChongqing Normal Univ, Sch Econ & Management, Chongqing 401331, Peoples R China
Hu, Huiying
Du, Jiating
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机构:
Chongqing Normal Univ, Sch Econ & Management, Chongqing 401331, Peoples R ChinaChongqing Normal Univ, Sch Econ & Management, Chongqing 401331, Peoples R China
Du, Jiating
Xu, Baoliang
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机构:
Nanchang Univ, Sch Econ & Management, Nanchang 330031, Jiangxi, Peoples R ChinaChongqing Normal Univ, Sch Econ & Management, Chongqing 401331, Peoples R China