Evaluating the Sustainable Growth of Small- and Medium-Sized Construction Enterprises Using the Multicriteria Decision-Making Method

Wang, Wenbao; Lin, Wenhe; Dai, Xinyi; Yan, Yingzheng; Xuan, Aiping

doi:10.1155/2020/3151949

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…The China Enterprise Evaluation Association has proposed the GEP evaluation method, which uses quantitative financial indicators such as the sales revenue growth rate, net profit growth rate, net asset growth rate, total asset return rate, capital return rate and asset-liability ratio combined with qualitative indicators to form a system evaluating the growth of small and medium-sized enterprises [ 49 ]. In creating an index, this paper considered the principle that selected indexes should be comprehensive, incorporated Penrose’s enterprise growth theory [ 50 ] and referred to the research results of Chinese scholars in recent years [ 51 – 53 ]. The characteristics of listed construction enterprises were considered, such as the coexistence of economy and profitability, labour intensity, high resource consumption, sensitivity to policy, impacts on the ecological environment, as well as the characteristics of profitability and operation, development and expansion, debt repayment and risk resistance [ 54 ].…”

Section: Research Methods and Evaluation Indicatorsmentioning

confidence: 99%

Study on the influence of COVID-19 on the growth of China’s small and medium-sized construction enterprises

et al. 2022

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The outbreak of COVID-19 at the beginning of 2020 had a significant impact on China’s economy, society, and citizens; it also had a negative impact on the development of the construction industry. In particular, small and medium-sized construction enterprises with low ability to withstand risk have been strongly impacted, aggravating a crisis of survival among these firms. The focus of this study is to analyze the impact of COVID-19 on the growth of small and medium-sized construction companies. Based on the characteristics of small and medium-sized construction enterprises, this paper establishes a growth evaluation index and builds a growth evaluation model based on factor analysis. Twenty-three construction enterprises listed on small and medium-sized enterprises board are selected as samples, and the quarterly data of 2019 and 2020 are used for empirical analysis. The results show that the epidemic has had a high short-term impact on construction enterprises, and the total output value of the construction industry in the first quarter of 2020 was 16% lower than that in the same period of last year. In the long run, the impact of the epidemic on the growth of small and medium-sized construction enterprises has been limited. In the first quarter of 2020, the growth score of enterprises decreased by only 1.95% year-over-year, and it was essentially flat in the second and third quarters. The epidemic has had little influence on solvency, tangible resources or intangible resources but a high short term influence on profitability, capital expansion and market expectations. The long-term impact is small; It is conducive to the improvement of enterprise operation ability. Finally, to both address the influence of the COVID-19 on small and medium-sized construction enterprises and to realize their transformation and upgrading, targeted suggestions are offered at the policy and enterprise levels. The results will help to understand the impact of the epidemic on the growth of construction enterprises, and provide decision support for the healthy and orderly development of the follow-up construction industry.

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Section: Research Methods and Evaluation Indicatorsmentioning

confidence: 99%

Study on the influence of COVID-19 on the growth of China’s small and medium-sized construction enterprises

et al. 2022

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“…Therefore, the indicators affecting the growth of enterprises are firstly various tangible and intangible resources, such as land, mines, or highly qualified personnel, and then the ability to integrate and use the resources, such as operating ability, profitability, solvency, and marketing ability and technological innovation ability. Hence, combined with Wang's evaluation of the multi-criteria decision-making method [10] for the growth of enterprises, this paper selects capital intensity ( )…”

Section: Intrinsic Vibrancymentioning

confidence: 99%

Research on the Factors Influencing Business Growth Based on ANN-MLP Algorithm Title Case Taking China Maotai Group as an example

Sun¹,

Li²,

Xu³

2022

BCPBM

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The growth of enterprises is the key to the national economy and even the annual economic recovery. Therefore, it is of great theoretical significance and practical value to construct a scientific and effective enterprise growth evaluation model. Multi-layer perceptron (MLP), as a typical representative of artificial neural network (ANN), has the performance of rapid computation and high fault tolerance. In this paper, we take the enterprise data and social data of Maotai Group from 2001 to 2020 as samples, combine enterprise growth theory and, through the literature research method, initially select seven indicators to evaluate enterprise growth and twenty-seven indicators as factors affecting enterprise growth. Then, Kendall correlation coefficient was used to reduce the dimensions of indicators, and the index system of enterprise growth and influencing factors were obtained. Finally, the MLP algorithm was used and optimized to optimize the robustness of the model. The results show that the final model is highly accurate, with MSE of 0.033 and R2 of 0.942, and return on assets and GDP have the greatest influence on firm growth. In other words, the profitability of an enterprise and the country's overall economic prosperity can largely influence the growth of an enterprise, and the stronger the profitability of an enterprise, the stronger its growth ability will be in the era of continuous national economic development. The model has a certain reference value for enterprises to formulate development strategies and the government to formulate macro policies to promote economic growth.

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Evaluating the Sustainable Growth of Small- and Medium-Sized Construction Enterprises Using the Multicriteria Decision-Making Method

Cited by 2 publications

References 13 publications

Study on the influence of COVID-19 on the growth of China’s small and medium-sized construction enterprises

Study on the influence of COVID-19 on the growth of China’s small and medium-sized construction enterprises

Research on the Factors Influencing Business Growth Based on ANN-MLP Algorithm Title Case Taking China Maotai Group as an example

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