Statistical Insights into Construction Industry Diversification: A Pathway for Sustainable Growth of Highway Enterprises in China

This study statistically evaluates the suitability of the construction industry as a diversification target for infrastructure corporations by integrating Data Envelopment Analysis (DEA-BCC), panel data regression, and entropy-based diversification metrics. Twenty actively operating highway companies in China were selected, and their annual reports from 2011 to 2021 were meticulously reviewed. This study quantifies the impact of diversification strategies on firm performance, resource allocation efficiency, and X-inefficiency. The findings reveal that strategic diversification into construction-related activities enhances operational efficiency and mitigates X-inefficiency, aligning with Penrose’s theory of surplus resource deployment. The study contributes a robust analytical framework for assessing diversification in the infrastructure sectors, offering actionable insights for corporations considering expansion into construction. The results underscore the importance of organizational optimization and business capability in reducing X-inefficiency and enhancing sustainable development, particularly in maturing markets where traditional growth avenues are limited.

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Publication Details

Journal
Buildings
Published
2025-06-07
DOI
https://doi.org/10.3390/buildings15121974
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
0.00

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article

Statistical Insights into Construction Industry Diversification: A Pathway for Sustainable Growth of Highway Enterprises in China

Ce Gao, Guandong Liu, Haicheng Xu
Buildings
Efficiency Analysis Using DEA
article

Statistical Insights into Construction Industry Diversification: A Pathway for Sustainable Growth of Highway Enterprises in China

Ce Gao, Guandong Liu, Haicheng Xu
article en

Abstract

This study statistically evaluates the suitability of the construction industry as a diversification target for infrastructure corporations by integrating Data Envelopment Analysis (DEA-BCC), panel data regression, and entropy-based diversification metrics. Twenty actively operating highway companies in China were selected, and their annual reports from 2011 to 2021 were meticulously reviewed. This study quantifies the impact of diversification strategies on firm performance, resource allocation efficiency, and X-inefficiency. The findings reveal that strategic diversification into construction-related activities enhances operational efficiency and mitigates X-inefficiency, aligning with Penrose’s theory of surplus resource deployment. The study contributes a robust analytical framework for assessing diversification in the infrastructure sectors, offering actionable insights for corporations considering expansion into construction. The results underscore the importance of organizational optimization and business capability in reducing X-inefficiency and enhancing sustainable development, particularly in maturing markets where traditional growth avenues are limited.

BuildingsVol. 15(12)
Chang'an University (CN), Guangzhou Building Materials Institute (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 85%
Efficiency Analysis Using DEA
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Statistical Insights into Construction Industry Diversification: A Pathway for Sustainable Growth of Highway Enterprises in China — Ce Gao, Guandong Liu, et al. · Buildings (2025) | TGRS Research Map | TGRS