Comment on “An extended STIRPAT model-based methodology for evaluating the driving forces affecting carbon emissions in existing public building sector: evidence from China in 2000–2015” by Ma et al. (2017)

Celia Prados García1, Rafael Briones Gómez1, José García García2
1Department of Quantitative Methods for Economics and Business, Campus Universitario de la Cartuja, University of Granada, Granada, Spain
2Department of Economic and Business, University of Almería, Almería, Spain

Tóm tắt

Từ khóa


Tài liệu tham khảo

García C, García J, López Martín M, Salmerón R (2015) Collinearity: revisiting the variance in ation factor in ridge regression. J Appl Stat 42(3):648–661

García C, Salmerón R, Rodriguez A, García J (2017) Regresión Cresta: algunos inconvenientes. ANNALES OF APPLIED ECONOMIC ASEPELT. XXXI Reunion Internacional de Economia Aplicada, ASEPELT XXXI

Ma M, Yan R, Cai W (2017) An extended STIRPAT model-based methodology for evaluating the driving forces affecting carbon emissions in existing public building sector: evidence from China in 2000–2015. Nat Hazards 89(2):741–756

Marquardt D (1970) Generalized inverses, ridge regression, biased linear estimation and nonlinear estimation. Technometrics 12(3):591–612

McDonald G (2010) Tracing ridge regression coeffcients. Wiley Interdiscip Rev Comput Stat 2(6):695–703

Salmerón Gómez R, García Pérez J, López Martín M, García García C (2016) Collinearity diagnostic applied in ridge estimation through the variance in ation factor. J Appl Stat 43(10):1831–1849

Theil H (1971) Principles of econometrics. Wiley, New York