Exploring Relationships between Environmental Performance, E-Government and Corruption: A Multivariate Perspective
Carmen C. Rodríguez-Martínez,
Isabel María García-Sánchez,
Purificación Vicente-Galindo and
Purificación Galindo-Villardón
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Carmen C. Rodríguez-Martínez: Departamento de Estadística, Universidad de Salamanca, 37007 Salamanca, Spain
Isabel María García-Sánchez: Instituto Multidisciplinar de Empresa-IME, Campus Miguel de Unamuno, Universidad de Salamanca, 37007 Salamanca, Spain
Purificación Vicente-Galindo: Departamento de Estadística, Universidad de Salamanca, 37007 Salamanca, Spain
Purificación Galindo-Villardón: Departamento de Estadística, Universidad de Salamanca, 37007 Salamanca, Spain
Sustainability, 2019, vol. 11, issue 22, 1-16
Abstract:
In order to improve environmental performance, the participation of effective and transparent citizens and governments that help counteract corruption in environmental matters is crucial. In this sense, this work focuses on exploring relationships between e-participation, e-government, the corruption index and environmental performance indicators. To this end, a sample comprising 116 countries from varying geographic regions is used in conjunction with indicators of environmental performance, e-participation, e-government and the corruption index. Through the use of the HJ-biplot and STATIS multivariate statistical techniques, it will be possible to observe the role that these variables play in countries’ behavioural patterns with respect to environmental performance. The results show a correlation between the indicator ‘perception of corruption’ and environmental performance; therefore, the lower the level of corruption, the higher the environmental performance index. We conclude that countries that exhibit more e-participation, lower levels of corruption and better level income are more likely to follow policies and programmes aimed at achieving better environmental performance.
Keywords: e-participation; sustainability; STATIS; HJ-biplot; environmental performance; multivariate analysis; corruption (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (10)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:22:p:6497-:d:288287
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