A canonical correlation analysis of the relationship between sustainability and competitiveness
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- 作者：Silvio Francisco dos Santos (1)
Humberto Siqueira Brandi (1) - 关键词：Sustainability ; Sustainability metrics ; Competitiveness ; Canonical correlation analysis ; Aggregation
- 刊名：Clean Technologies and Environmental Policy
- 出版年：2014
- 出版时间：December 2014
- 年：2014
- 卷：16
- 期：8
- 页码：1735-1746
- 全文大小：290 KB
- 参考文献：1. Balkyte A, Tvaronaviciene M (2010) Perception of competitiveness in the context of sustainable development: facets of “sustainable competitiveness- J Bus Econ Manag 11(2):341-65. doi:10.3846/jbem.2010.17 CrossRef
2. Barfield JP, Lam ETC (2003) Examination on the reliability of a racquetball skills test battery using univariate and multivariate models. (Measurement). Res Q Exerc Sport 74 (1):A-24(22)
3. Brandi HS, Daroda R, Olinto AC (2013) The use of Canberra metrics to aggregate metrics to sustainability. Clean Techn Environ Policy. doi:10.1007/s10098-013-0690-7
4. Correa NM, Yi-Ou L, Adali T, Calhoun VD (2008) Canonical Correlation Analysis for Feature-Based Fusion of Biomedical Imaging Modalities and Its Application to Detection of Associative Networks in Schizophrenia. Selected Topics in Signal Processing, IEEE Journal of 2(6):998-007. doi:10.1109/jstsp.2008.2008265 CrossRef
5. Europe-2020 (2010) A Strategy for smart, sustainable and inclusive growth [online]. Communication from the Commissiononline, vol final. European Commission, COM(2010) Brussels
6. Field A (2005) Discovering Statistics Using SPSS, 2nd edn. SAGE Publications Ltd, London
7. Friman O, Cedefamn J, Lundberg P, Borga H, Knutsson H (2001) Detection of neural activity in functional MRI using canonical correlation analysis. Magn Reson Med 45(2):323-30. doi:10.1002/1522-2594(200102)45:2<323::AID-MRM1041>3.0.CO;2-#
8. Green PE, Carroll JD (1978a) Analyzing Multivariate Data. Holt, Rinehart & Winston, Hinsdale, Ill
9. Green PE, Carroll JD (1978b) Mathematical Tools for Applied Multivariate Analysis. Academic Press, New York
10. Hair JF, Anderson RE, Tatham RL, Black WC (2005) Análise Multivariada de Dados, 5a edn. Bookman, Porto Alegre
11. Hosany S, Ekinci Y, Uysal M (2006) Destination image and destination personality: An application of branding theories to tourism places. J Bus Res 59(5):638-42. doi:10.1016/j.jbusres.2006.01.001 CrossRef
12. Koh CE, Watson HJ (1998) Data management in executive information systems. Inf Manage 33(6):301-12. doi:10.1016/s0378-7206(98)00035-4 CrossRef
13. Kuylen AAA, Verhallen TMM (1981) The use of canonical analysis. Journal of Economic Psychology:20
14. Liu J, Drane W, Liu X, Wu T (2009) Examination of the relationships between environmental exposures to volatile organic compounds and biochemical liver tests: Application of canonical correlation analysis. Environ Res 109(2):193-99. doi:10.1016/j.envres.2008.11.002 CrossRef
15. Mazouz R, Assani AA, Rodríguez MA (2013) Application of redundancy analysis to hydroclimatology: A case study of spring heavy floods in southern Québec (Canada). Journal of Hydrology 496 (0):187-194. doi:http://dx.doi.org/10.1016/j.jhydrol.2013.05.035
16. Misaki M, Wallace GL, Dankner N, Martin A, Bandettini PA (2012) Characteristic cortical thickness patterns in adolescents with autism spectrum disorders: Interactions with age and intellectual ability revealed by canonical correlation analysis. NeuroImage 60 (3):1890-1901. doi:http://dx.doi.org/10.1016/j.neuroimage.2012.01.120
17. Mukherjee R, Sengupta D, Sikdar SK (2013) Parsimonious use of indicators for evaluating sustainability systems with multivariate statistical analyses. Clean Techn Environ Policy. doi:10.1007/s10098-013-0614-6
18. Nardo M, Saisana M, Tarantola ASS, Hoffman A, Giovannini E (2005) Handbook on Constructing Composite Indicators, Methodology and User Guide. OECD Statistics Working Paper:108
19. OECD (2010) Ministerial Report on the OECD Innovation Strategy: Fostering Innovation to Strengthen Growth and Address Global and Social Challenges - Key Findings.34
20. Rencher AC (2002) Methods of multivariate analysis, 2nd edn. John Wiley & Sons Inc, Canada CrossRef - 作者单位：Silvio Francisco dos Santos (1)
Humberto Siqueira Brandi (1)
1. Instituto Nacional de Metrologia, Qualidade e Tecnologia (Inmetro), Av. N. S. das Gra?as 50, Duque de Caxias, RJ, 25250-020, Brazil - ISSN：1618-9558
文摘
In the present work, we apply the canonical correlation analysis (CCA) to analyze the relationship between competitiveness and environmental sustainability, studying their degree of correlation and the impact of the environmental sustainability and competitiveness indicators in this relationship. We selected seven indicators from the environmental sustainability indicators of the Environmental Performance Index, and 12 competitiveness indicators from The Global Competitiveness Index. The CCA considers 117 countries common in both databases. The method is applied to study of the intracorrelations (correlations, between the same set of indicators) and the intercorrelations (correlations between the sustainability and competitiveness sets of indicators). It is shown that the intracorrelations of the environmental and competitiveness indicators are highly correlated, indicating that the choice of the indicators adequately describes sustainability and competitiveness, separately. For the study of the intercorrelation between the sustainability and the competitiveness sets of indicators, the CCA method reduced the complex multidimensional problem to a one-dimensional situation described by one relevant canonical function. This greatly simplified the interpretation of the interrelation between competitiveness and sustainability indicators allowing a proper analysis of the different degrees of correlation between these dimensions. A discussion on the degree of correlation between these indicators is presented. The results associating competitiveness and sustainability indicators through strong intercorrelation are an indication that the conclusion of the World Economic Forum analysis “the main and very important finding is that there is no necessary trade-off between being competitive and being sustainable. On the contrary, many countries at the top of the competitiveness rankings are also the best performers in many areas of sustainability,-may be related to the specific choice of indicators. The present study suggests that the strongly correlated indicators are good candidates to be part of an adequate set of composite sustainability and competitiveness indicators. Although in this work CCA is applied to study the environmental sustainability, the method can be applied to investigate other metrics in particular the intersection of social and competitiveness toward the achievement of sustainable development.