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Spatial differences, evolutionary characteristics and driving factors on economic resilience of the construction industry: evidence from China

Zhenshuang Wang (School of Investment and Construction Management, Dongbei University of Finance and Economics, Dalian, China)
Tingyu Hu (School of Investment and Construction Management, Dongbei University of Finance and Economics, Dalian, China)
Jingkuang Liu (School of Management, Guangzhou University, Guangzhou, China)
Bo Xia (Architecture and Built Environment, Queensland University of Technology, Brisbane, Australia)
Nicholas Chileshe (UniSA STEM, Sustainable Infrastructure and Resources Management (SIRM), University of South Australia, Adelaide, Australia)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 22 August 2024

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Abstract

Purpose

The sensitivity and fragility of the construction industry’s economic system make the economic resilience of the construction industry (ERCI) a key concern for stakeholders and decision-makers. This study aims to measure the ERCI, identify the heterogeneity and spatial differences in ERCI, and provide scientific guidance and improvement paths for the industry. It provides a foundation for the implementation of resilience policies in the construction industry of developing countries in the future.

Design/methodology/approach

The comprehensive index method, Theil index method, standard deviation ellipse method and geographic detector model are used to investigate the spatial differences, spatiotemporal evolution characteristics and the influencing factors of the ERCI from 2005 to 2020 in China.

Findings

The ERCI was “high in the east and low in the west”, and Jiangsu has the highest value with 0.64. The Theil index of ERCI shows a wave downward pattern, with significant spatial heterogeneity. The overall difference in ERCI is mainly caused by regional differences, with the contribution rates being higher by more than 70%. Besides, the difference between different regions is increasing. The ERCI was centered in Henan Province, showing a clustering trend in the “northeast-southwest” direction, with weakened spatial polarization and a shrinking distribution range. The market size, input level of construction industry factors, industrial scale and economic scale are the main factors influencing economic resilience. The interaction between each influencing factor exhibits an enhanced relationship, including non-linear enhancement and dual-factor enhancement, with no weakening or independent relationship.

Practical implications

Exploring the spatial differences and driving factors of the ERCI in China, which can provide crucial insights and references for stakeholders, authorities and decision-makers in similar construction economic growth leading to the economic growth of the national economy context areas and countries.

Originality/value

The construction industry development is the main engine for the national economy growth of most developing countries. This study establishes a comprehensive evaluation index on the resilience measurement and analyzes the spatial effects, regional heterogeneity and driving factors on ERCI in the largest developing country from a dynamic perspective. Moreover, it explores the multi-factor interaction mechanism in the formation process of ERCI, provides a theoretical basis and empirical support for promoting the healthy development of the construction industry economy and optimizes ways to enhance and improve the level of ERCI.

Keywords

Acknowledgements

This research was supported by the National Social Science Foundation of China (Project No.: 22BGL187) and the Chunhui Project of the Ministry of Education of China (Project No.: HZKY20220408).

Citation

Wang, Z., Hu, T., Liu, J., Xia, B. and Chileshe, N. (2024), "Spatial differences, evolutionary characteristics and driving factors on economic resilience of the construction industry: evidence from China", Engineering, Construction and Architectural Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ECAM-01-2024-0021

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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