当前位置: X-MOL 学术Humanit. Soc. Sci. Commun. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Predicting the factors influencing construction enterprises’ adoption of green development behaviors using artificial neural network
Humanities & Social Sciences Communications Pub Date : 2022-07-15 , DOI: 10.1057/s41599-022-01253-x
Xingwei Li , Jinrong He , Yicheng Huang , Jingru Li , Xiang Liu , Jiachi Dai

The construction industry occupies a high proportion of the global economy. However, with the energy consumption of construction enterprises, it still brings a series of serious environmental problems. Construction enterprises should take active green development behavior to respond. Based on enterprises’ green development behavior, this paper explores the influencing factors of green development behavior adopted by construction enterprises in China. Through literature analysis, this paper identifies that construction enterprises’ adoption of green development behaviors is influenced by technological, organizational and environmental factors. Then this paper constructs an index system of the influencing factors of green development behaviors adopted by enterprises. According to the data of construction enterprises from 2000 to 2020 of National Bureau of Statistics, an artificial neural network is used to construct the prediction model of influencing factors of green development behavior adopted by construction enterprises. The conclusions are as follows. (1) Construction enterprises’ adoption of green development behavior shows an upward trend over time. (2) Market share of construction enterprises is the most important factor to promote construction enterprises’ adoption of green development behavior. (3) The prediction model of influencing factors constructed in this paper is verified to be effective by the technology-organization-environment framework. This paper provides a reference for construction enterprises and the government to promote enterprises to adopt green development behavior, which is beneficial for construction enterprises to achieve green development faster.



中文翻译:

利用人工神经网络预测影响建筑企业采用绿色发展行为的因素

建筑业在全球经济中占有很大比重。但是,随着建筑企业的能源消耗,也带来了一系列严重的环境问题。建筑企业应采取积极的绿色发展行为来应对。本文从企业绿色发展行为出发,探讨了我国建筑业企业绿色发展行为的影响因素。通过文献分析,本文确定建筑企业采用绿色发展行为受到技术、组织和环境因素的影响。然后构建了企业绿色发展行为影响因素的指标体系。根据国家统计局2000-2020年建筑企业数据,采用人工神经网络构建建筑企业绿色发展行为影响因素预测模型。结论如下。(一)建筑企业采用绿色发展行为呈上升趋势。(2)建筑企业的市场占有率是推动建筑企业采取绿色发展行为的最重要因素。(3)本文构建的影响因素预测模型在技术-组织-环境框架下验证是有效的。本文为建筑企业和政府推动企业采取绿色发展行为提供参考,

更新日期:2022-07-15
down
wechat
bug