Title :
Constraints in environment and resources during China´s industrial upgrading
Author :
Rao, Qian ; Zhang, Yan
Author_Institution :
Coll. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
Currently, there is no effective method in conducting research on the impact of environment and resources on China´s industrial upgrading without innovation of industrial structural classification. This paper make the industries into four classes based on industries status by K-mean cluster analysis; then evaluate the ranking of various industry sectors under resource & environment constraints by factor analysis, last, we use non-parametric estimation of the Kruskal-Wallis test to further analyze the resource and environmental constraints in the path of industrial upgrading. The results shows that environment & resources tend to improve during industrial upgrading, meanwhile, different guidelines and restrictions are needed for the four industrial levels.
Keywords :
natural resources; statistical analysis; China; K-mean cluster analysis; Kruskal-Wallis test; environment constraints; industrial upgrading; non-parametric estimation; resource constraints; Economic indicators; Industries; Investments; Machinery; Metals; Sensitivity; Factor analysis; Industrial upgrading; Kruskal-Wallis Test; Resources and environment;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580991