Incentives for Innovation in Robotics and Automated Construction: Based on a Tripartite Evolutionary Game Analysis

Leng Yi and Fukuda Hiroatsu
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Leng Yi: Faculty of Environmental Engineering, University of Kitakyushu, Kitakyushu 808-0135, Japan
Fukuda Hiroatsu: Faculty of Environmental Engineering, University of Kitakyushu, Kitakyushu 808-0135, Japan

Sustainability, 2022, vol. 14, issue 4, 1-20

Abstract: The current construction industry faces many challenges, such as low productivity, low material application rates, and poor environmental benefits. Robotic and automated construction (RAAC) technologies represent a breakthrough from traditional construction methods and are considered an effective way to improve productivity, ecological efficiency, and sustainability in the construction industry. However, the high cost of research and development and the lack of investment in the construction field have discouraged Chinese construction companies from innovating. In this paper, an evolutionary game model between the government, construction firms, and public universities is constructed around the choice of RAAC innovation, and the evolutionary stabilization strategy (ESS) of the three parties is discussed. Establishing a compound incentive policy of financial and reputational rewards and increasing the share of RAAC scores in academic evaluations can accelerate the realization of ESS among the government, construction companies, and public universities. This study informs policymakers to develop RAAC innovation strategies, and stakeholders such as the government, construction companies, and public universities should consider and jointly promote the development and application of RAAC technologies to improve productivity and environmental sustainability in the construction industry.

Keywords: robotic and automated construction; sustainability; evolutionary game; incentive strategies (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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