Construction and evaluation of a system to measure the coordinated development of the ecological environment and the economy of the construction industry

Based on the core concept of coordinated development of ecological environment and economy, the five-dimensional evaluation indexes including scale expansion, sustained growth, innovation development, green development and open development are constructed. In this paper, the combined weight model of CRITIC-entropy weight method TOPSIS model are used to comprehensively evaluate the coordinated development of ecological environment and economy of construction industry in China's provinces, municipalities and autonomous regions (except Xizang, Hong Kong, Macao and Taiwan) from 2004 to 2017. The results show that: (1) Open development and innovative development are the main factors affecting the coordinated development of ecological environment and economy of construction industry. (2) From 2004 to 2017, the coordinated development level of ecological environment and economy of construction industry in 30 provinces, municipalities and autonomous regions in China has a growing trend. However, at present, the level of coordinated development of the ecological environment and the economy of the construction industry in China is generally low. (3) The level of coordinated development between ecological environment and economy of construction industry in eastern China, northeast China, central China and western China is obviously different, showing a spatial distribution pattern of the level of development from east to west. On this basis, corresponding policy suggestions are put forward in order to provide reference for promoting the coordinated development of ecological environment and economy in China's construction industry.

Automated summary

This study examines the coordinated development of ecological environment and economy in China's construction industry using five-dimensional evaluation indexes and a combined weight model. The results show consistent trends, identify key influencing factors, and propose relevant policy suggestions.