Comprehensive Evaluation of High Quality Development of Construction Industry Based on Entropy Method Taking Three Provinces and One City in Yangtze River Delta as Example
Xiaoman Peng
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Xiaoman Peng: Department of Anhui Jianzhu University
A chapter in Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, 2022, pp 1592-1607 from Springer
Abstract:
Abstract Taking the new development concept as the connotation of high quality development of construction industry, the high quality evaluation index system of construction industry is constructed from seven dimensions: industrial scale, industrial market composition, industrial technology level, industrial green development, industrial benefit, industrial people’s livelihood well-being and industrial opening degree. The entropy method is used to evaluate the high quality of construction industry in Shanghai, Jiangsu, Zhejiang and Anhui provinces in the Yangtze River Delta urban agglomeration. The results show that the high quality development level of construction industry is ranked as Jiangsu Province > Shanghai > Zhejiang > Anhui Province, among which Jiangsu Province is more prominent in the benefits of construction industry, market composition and industrial technology, but lagging behind in the well-being of industry and people’s livelihood. Shanghai has performed well in the green development, well-being and openness of the construction industry, but the overall scale of the industry is small. Through the evaluation and analysis of the high quality development level of the construction industry in three provinces and one city of the Yangtze River Delta urban agglomeration, it is found that its advantages and disadvantages exist, which provides inspiration for the high quality development of the integrated construction industry in the Yangtze River Delta.
Keywords: Construction industry high quality; Entropy method; Comprehensive evaluation (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-19-5256-2_122
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DOI: 10.1007/978-981-19-5256-2_122
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