Evolutionary mechanism of green innovation behavior in construction enterprises: Evidence from the construction industry

Li, X; Liu, X; Huang, Y; Li, J; He, J and Dai, J (2024) Evolutionary mechanism of green innovation behavior in construction enterprises: Evidence from the construction industry. Engineering, Construction and Architectural Management, 31(1), pp. 159-178. ISSN 0969-9988

Abstract

Purpose: The green innovation behavior of construction enterprises is the key to reducing the construction industry's carbon emissions and realizing the green transformation of the construction industry. The purpose of this study is to reveal the evolutionary mechanism of green innovation behavior in construction enterprises. Design/methodology/approach: This study is based on resource-based theory, Porter's hypothesis and signaling theory. First, a measurement model of the green innovation behavior of construction enterprises was constructed from three aspects: environmental regulation, enterprise resources and public opinion through hierarchical analysis. Then, the state values of the measurement model of green innovation behavior of construction enterprises were calculated through the time series data from 2011–2018. Finally, the Markov chain model was used to predict the evolutionary trend of green innovation behavior of construction enterprises, and the accuracy of the prediction effect of the Markov chain model was verified using the time series data of 2019. Findings: The Markov chain model of green innovation behavior of construction enterprises constructed in this study has high accuracy. This model finds that the transition of the growth state of green innovation behavior in China's construction industry is fluid and predicts the evolution trend of the innovation behavior of construction enterprises. In the future, the green innovation behavior of construction enterprises has a probability of 70.17% to be in a continuous growth state and 40.27% to be in a rapid growth state. Originality/value: Based on the Markov chain model of green innovation behavior of construction enterprises, this study finds that the transition of the growth state of green innovation behavior of construction enterprises in China has the characteristics of liquidity. In addition, it reveals the development process of the green innovation behavior of construction enterprises from 2011–2018 and predicts the evolution trend of the green innovation behavior of construction enterprises.

Item Type: Article
Uncontrolled Keywords: construction; innovation; management; organization; technology
Index terms: evidence, evolution, methodology, China, time series, accuracy, resource-based theory, construction industry, environmental regulation, Markov chain, carbon emission, liquidity, transformation
Subjects: management, research methods, health safety and environment, Geography, professional development, industry analysis, evaluation and assessment methods, mathematical modelling, business, climate science, data science, environmental science, economic analysis
Topics: Sustainability, Information Management, Research Practice, Geographical Context, Health and Safety, Business Strategy
Descriptive scope: 4 PCTA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here