Relevance analysis of social equity and urbanization based on fuzzy logic and factor analysis model

Issue title: Special Section: Intelligent & fuzzy theory in engineering and science

Guest editors: Teresa Guarda, Isabel Lopes and Álvaro Rocha

Article type: Research Article

Authors: Xu, Wanxiao^{a; *} | Ding, Mingjie^b

Affiliations: [a] School of Public Administration, Huazhong University of Science and Technology, Wuhan, China | [b] School of Public Administration, Central China Normal University, Wuhan, China

Correspondence: [*] Corresponding author. Wanxiao Xu, Huazhong University of Science and Technology, Wuhan 430074, China. E-mail: [email protected].

Abstract: The accelerated development of urbanization in China started with economic globalization and industrialization, and also in the process of economic system transition. Generally speaking, urbanization is an important indicator of a region’s economic development and social development. Urbanization equity is an important direction of sustainable economic and social development. From the economic dimension, urbanization can promote division of labor, specialization and accumulation of human capital through agglomeration effect. This paper analyzes the social equity and urbanization by using fuzzy logic and factor analysis model. Under the condition of market economy, migrant workers have no competitive advantage in the labor market because of their low educational level. At the same time, the treatment of migrant workers in social security, cultural education and economic welfare is lower than that of urban residents. Under the unbalanced economic development reality, the economic absorption effect leads to the migrant workers rushing to the developed big cities. The results shows that by taking the dimensions of social justice of the rural migrant worker as the independent variable, psychological urbanization for the dependent variable, the regression Equation of F value is 90.424, P = 0.000, less than 0.05 level of significance. Also, we make correlation analysis on all factors of social justice and urbanization. The experimental results show the effectiveness of proposed method. Green building is the development of sustainable development concept in architectural field. While the construction industry has brought great benefits to the development of national economy, its high investment, high pollution and inefficient development mode has also produced a huge energy load. Therefore, from the perspective of environmental and economic sustainability, the development of green buildings is particularly important. In this paper, the author makes economic benefit analysis of green building based on fuzzy logic and bilateral game model. By introducing such factors as economic benefits, cognition and government policies, this paper construct an evolutionary game model, which provides a basis for improving the economic benefits of green buildings. The results show that the first factor affecting enterprise decision-making is the incremental profit of green building developers, followed by the government’s incentive policy. After the evolution of the market, the final strategic choice will be stabilized to higher economic benefits. Generally speaking, green buildings need to effectively control incremental costs and consider scale benefits. Through management efficiency innovation and policy stimulation, the problems of huge investment cost and long payback period can be solved, so as to improve the economic benefits of green building development.

Keywords: Urbanization rate, social security, fuzzy model, factor analysis

DOI: 10.3233/JIFS-179205

Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 6229-6240, 2019