Abstract
Along with the increasing conflicts between the population growth, economic development and the degeneration of resource environment, sustainable development has become the thinking focus of human to get out of the trouble and is included in the basic starting points of establishing policies of all countries in the 21st century. The partial least squares regression method is applied for analysis on degree of importance of all factors that affect the Shaanxi ecological footprint based on the calculation of ecological footprint per person of Shaanxi from the year of 2006 to 2016 by taking Shaanxi as the survey region. Through the variable-drop importance analysis, singular point analysis and predictive analysis, the partial least squares regression model acquired is proved to have good accuracy. The research results are: From the year of 2006 to 2016, the ecological footprint per person of Shaanxi increased to 2.894958909 from 1.818103793 hm2. The ecological deficit increased to 2.42316627 from 1.28352051 hm2. And the ecological carrying capacity decreased to 0.47179264 from 0.53458328 hm2; the whole-district GDP, the per capita nonproductive expenditure of towners, the second industrial output and the first industrial output are the remarkable factors that affect the Shaanxi ecological footprint.
Similar content being viewed by others
References
Chen, X.P., Lu, C.P., Yang, J., Zhang, Z.L.: Analysis of human-environment coordination fluctuations of Ningxia in 1986–2005 based on the ecological footprint model. J. Arid. Land. Res. Environ. 25(10), 15–20 (2011)
Guo, X.R., Yang, J.R., Mao, X.Q.: Calculation and analysis of urban ecological footprint: a case study of Guangzhou. Geogr. Res. 22(5), 654–662 (2003)
Rees, W.E.: Ecological footprints and appropriated carrying capacity: what urban economics leaves out. Environ. Urban. 4(2), 121–130 (1992)
Wackernagel, M., Onisto, L., Bello, P., Linares, A.C.: National nature capital accounting with the ecological footprint concept. Ecol. Econ. 29(3), 375–390 (1999)
Wackenagel, M., William, E.R.: Our Ecological Footprint: Reducing Human Impact on the Earth, pp. 2–17. New Society Publishers, Philadelphia (1996)
Gerlach, R.W., Kowalski, B.R., Wold, H.O.A.: Partial least-squares path modeling with latent variables. Anal. Chim. Acta 112, 417 (1979)
Lindberg, W., Persson, J.A., Wold, S.: Partial least-squares method for spectrofluorimetric analysis of mixtures of humic acid and lignin sulfonate. Anal. Chem. 55, 643 (1983)
He, B.B., Mei, Y.: An empirical studyon the relationship between economic growth and ecological footprint in Jiangsu Province China. Res. Sci. 31(11), 1973–1981 (2009)
Sun, Yang, Chengming, Xu, Xia, Rui: Analysis to influence of difference to researching and developing capital input channels on the scientific and technological innovation—based on the empirical study of partial least squares method. Finan. Res. 9, 165–174 (2009)
Wang, Huiwen, Zaibin, Wu, Meng, Hao: Linear and Non-Linear Methods of Partial Least Squares Regression. National Defence Industry Press, Beijing (2006)
Kaiya, Wu, Wang, Lingjie: Partial least squares regression model and application of ecological footprint and its factors of influence. Resour. Sci. 28(6), 182–188 (2006)
Zhao, X., Xiao, L., Lan, Y., et al.: Dynamic study on ecological footprint and ecological carrying capacity in Shaanxi Province. Chin. Agric. Sci. 38(4), 746–753 (2005)
Chen, Xingpeng, Dai, Chengpeng, Yang, Jing, Zhang, Zilong: Evolution analysis of human-environment coordination from the year of 1986 to 2005 in Ningxia based on ecological footprint model. Resour. Environ. Dry Area 25(10), 15–20 (2011)
Yang, Yongkui, Wang, Dingyong: Dynamic measurement and analysis on ecological footprint since direct jurisdiction of Chongqing City. Acta Oecologica 27(6), 2382–2390 (2007)
Liu, Jianxing, Xiaowei, Gu, Li, Guangjun, Wang, Qing, Liu, Hao: Study on relationship between China economic development and ecological footprint. Resour. Sci. 27(5), 33–39 (2005)
He, Beibei, Mei, Yan: Empirical research on relationship between ecological footprint and economic growth in Jiangsu Province. Resour. Sci. 31(11), 1973–1981 (2009)
Min, Q.W., Yu, W.D., Cheng, S.K., Wang, X.Z.: Ecological footprint based comparison of consumption differences of Xianju’ s urban-rural residents. Urban Environ. Urban Ecol. 16(4), 86–88 (2003)
Chen, L.P., Yang, Z.Z.: Ecological footprint of import and export trade of China. World Econ. Study 5, 8–11 (2005)
Zhang, Y.Y., Han, X.Z., Li, Z.Z., Su, M.: Improvement of the ecological capacity model and its application. J. Lanzhou Univ. Nat. Sci. 43(1), 75–79 (2007)
Zhang, Y.F., Zhang, B., Guo, L.X.: Analysis on the development trends and influence factors of ecological footprint in Lanzhou City. J. Arid Land Resour. Environ. 22(9), 25–29 (2008)
Mao, J.H.: Development trends and influence factors of ecological footprint in Gansu Provice. Res. Develop. 4, 68–70 (2011)
Wu, K.Y., Wang, L.J.: Partial least square regression model of ecological footprint and its influencing factors. Resour. Sci. 28(6), 182–188 (2006)
Wang, H.W., Wu, Z.B., Meng, J.: Partial Least-squares Regression-Linear and Nonlinear Methods. National Defense Industry Press, Beijing (2006)
Zhang, H.X., Guo, J.L., Zhu, J.Y., Yu, J.F.: Multivariate data analysis methods and applications. Northwestern Polytechnical University Press, Xi’ an (2002)
Liu, M.C., Li, W.H., Xie, G.D.: Estimation of China ecological footprint production coefficient based on net primary productivity. Chin. J. Ecol. 29(3), 592–597 (2010)
Li, Z.C., Wang, G.C., Guan, X.J.: Co-integration analysis and an error correction model for footprint and economy growth in China. Res. Sci. 30(2), 261–266 (2008)
Chen, D.H., He, F.Q.: Industrial restructuring and development direction of Ningixa. Soc. Sci. Ningxia 4, 29–34 (2011)
Zhang G.F.: Ningxia animal husbandry economy appears new posture. China Animal Husbandry Veterinary Newspaper, vol. 2, pp. 1–15 (2012)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Huang, Z. Partial least squares regression analysis to factor of influence for ecological footprint. Cluster Comput 22 (Suppl 3), 6425–6433 (2019). https://doi.org/10.1007/s10586-018-2180-5
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10586-018-2180-5