Literature DB >> 30677876

Revealing stylized empirical interactions among construction sector, urbanization, energy consumption, economic growth and CO2 emissions in China.

Munir Ahmad1, Zhen-Yu Zhao2, Heng Li3.   

Abstract

Since the construction sector, interacting with urbanization and economic growth, boosts energy consumption and CO2 emissions, and so challenges environmental sustainability. This work systematically analyzes empirical interactions among construction sector, urbanization, energy consumption, economic growth and CO2 emissions in a modified version of 'Stochastic Impacts by Regression on Population, Affluence, and Technology' model. An aggregate panel of China along with its three disaggregated regional panels is estimated through augmented mean group and dynamic common correlated effects mean group estimators. The core empirics are as follows. First, energy consumption, gross regional product (GRP), urbanization, construction sector, and CO2 emissions established a long-run equilibrium relationship. Second, energy consumption growth, GRP growth, urbanization, and construction sector growth exerted significant positive impacts on CO2 emissions labeled as; energy, growth, urbanization, and construction driven emissions push impacts, respectively. Third, urbanization revealed negative, neutral, and positive contributions to GRP growth for western zone, intermediate zone, and eastern zone termed as; urbanization-driven growth deceleration, neutrality, and acceleration impacts, respectively. Likewise, GRP growth positively influenced urbanization. Fourth, energy consumption growth and construction sector growth exhibited significant positive impacts on GRP growth characterized as; energy and construction driven growth acceleration impacts, respectively. Also, GRP growth imparted a significant positive influence on energy consumption growth and construction sector growth. Fifth, CO2 emissions growth induced a significant negative influence in GRP growth entitled as, emissions-driven growth deceleration impact. Sixth, construction sector growth imparted a significant positive contribution to urbanization named as construction-driven urban migration impact. Whereas, urbanization revealed positive contribution to construction sector growth called as urbanization-driven construction expansion impact. Seventh, urbanization and construction sector growth presented significant positive contributions to energy consumption growth, namely, urbanization and construction abundance driven energy utilization impacts, respectively. Finally, construction sector-augmented Environmental Kuznets Curve hypothesis is found valid. Based on empirics, policy relevance is proposed.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CO(2) emissions; Construction sector; Dynamic common correlated effects mean group; Energy consumption; Modified STIRPAT; Urbanization

Year:  2018        PMID: 30677876     DOI: 10.1016/j.scitotenv.2018.12.112

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  10 in total

1.  Empirics on influencing mechanisms among energy, finance, trade, environment, and economic growth: a heterogeneous dynamic panel data analysis of China.

Authors:  Munir Ahmad; Zhen-Yu Zhao; Muhammad Irfan; Marie Claire Mukeshimana
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2.  Dynamic causality among urban agglomeration, electricity consumption, construction industry, and economic performance: generalized method of moments approach.

Authors:  Munir Ahmad; Gul Jabeen
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-28       Impact factor: 4.223

3.  Revealing heterogeneous causal links among financial development, construction industry, energy use, and environmental quality across development levels.

Authors:  Munir Ahmad; Gul Jabeen; Muhammad Khizar Hayat; Rana Ejaz Ali Khan; Shoaib Qamar
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-16       Impact factor: 4.223

4.  Conserving a sustainable urban environment through energy security and project management practices.

Authors:  Rashid Maqbool; Emily Jowett
Journal:  Environ Sci Pollut Res Int       Date:  2022-07-14       Impact factor: 5.190

5.  What is the relationship between government response and COVID-19 pandemics? Global evidence of 118 countries.

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Journal:  Struct Chang Econ Dyn       Date:  2021-08-28

6.  Modeling heterogeneous dynamic interactions among energy investment, SO2 emissions and economic performance in regional China.

Authors:  Munir Ahmad; Zhen-Yu Zhao; Muhammad Irfan; Marie Claire Mukeshimana; Abdul Rehman; Gul Jabeen; Heng Li
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-13       Impact factor: 4.223

7.  Protection and Inheritance of Traditional Culture in Urbanization Construction Based on Genetic Algorithm under the Concept of Environmental Protection.

Authors:  Lin Guo
Journal:  J Environ Public Health       Date:  2022-06-16

Review 8.  Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review.

Authors:  Daniel Martinez-Marquez; Sravan Pingali; Kriengsak Panuwatwanich; Rodney A Stewart; Sherif Mohamed
Journal:  Sensors (Basel)       Date:  2021-06-23       Impact factor: 3.576

9.  The non-linear relationship between carbon dioxide emissions, financial development and energy consumption in developing European and Central Asian economies.

Authors:  Leng Chunyu; Syed Zain-Ul-Abidin; Wajeeha Majeed; Syed Muhammad Faraz Raza; Ishtiaq Ahmad
Journal:  Environ Sci Pollut Res Int       Date:  2021-07-05       Impact factor: 5.190

10.  Does Innovation Efficiency Suppress the Ecological Footprint? Empirical Evidence from 280 Chinese Cities.

Authors:  Haiqian Ke; Wenyi Yang; Xiaoyang Liu; Fei Fan
Journal:  Int J Environ Res Public Health       Date:  2020-09-18       Impact factor: 3.390

  10 in total

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