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Exploring Relationships between Environmental Performance, E-Government and Corruption: A Multivariate Perspective

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  • Carmen C. Rodríguez-Martínez

    (Departamento de Estadística, Universidad de Salamanca, 37007 Salamanca, Spain
    Departamento de Estadística, Facultad de Ciencias Naturales, Exactas y Tecnología, Universidad de Panamá, Ciudad de Panamá, 0824-Estafeta Universitaria, Panama)

  • 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
    Instituto de Investigación Biomédica (IBSAL), 08028 Salamanca, Spain)

  • Purificación Galindo-Villardón

    (Departamento de Estadística, Universidad de Salamanca, 37007 Salamanca, Spain
    Instituto de Investigación Biomédica (IBSAL), 08028 Salamanca, Spain)

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.

Suggested Citation

  • Carmen C. Rodríguez-Martínez & Isabel María García-Sánchez & Purificación Vicente-Galindo & Purificación Galindo-Villardón, 2019. "Exploring Relationships between Environmental Performance, E-Government and Corruption: A Multivariate Perspective," Sustainability, MDPI, vol. 11(22), pages 1-16, November.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:22:p:6497-:d:288287
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    1. Pietro Previtali & Paola Cerchiello, 2018. "The Prevention of Corruption as an Unavoidable Way to Ensure Healthcare System Sustainability," Sustainability, MDPI, vol. 10(9), pages 1-14, August.
    2. Frederick A. Armah & David O. Yawson & Alex N.M. Pappoe & Ernest K.A. Afrifa, 2010. "Participation and Sustainable Management of Coastal Lagoon Ecosystems: The Case of the Fosu Lagoon in Ghana," Sustainability, MDPI, vol. 2(1), pages 1-17, January.
    3. Maurizio Lisciandra & Carlo Migliardo, 2017. "An Empirical Study of the Impact of Corruption on Environmental Performance: Evidence from Panel Data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(2), pages 297-318, October.
    4. Eunji Kim & Yoonhee Ha & Sangheon Kim, 2017. "Public Debt, Corruption and Sustainable Economic Growth," Sustainability, MDPI, vol. 9(3), pages 1-30, March.
    5. Md. Abdul Kaium Masud & Seong Mi Bae & Javier Manzanares & Jong Dae Kim, 2019. "Board Directors’ Expertise and Corporate Corruption Disclosure: The Moderating Role of Political Connections," Sustainability, MDPI, vol. 11(16), pages 1-22, August.
    6. Carl Eckart & Gale Young, 1936. "The approximation of one matrix by another of lower rank," Psychometrika, Springer;The Psychometric Society, vol. 1(3), pages 211-218, September.
    7. Assunta Di Vaio & Luisa Varriale, 2018. "Management Innovation for Environmental Sustainability in Seaports: Managerial Accounting Instruments and Training for Competitive Green Ports beyond the Regulations," Sustainability, MDPI, vol. 10(3), pages 1-35, March.
    8. Andrés Navarro-Galera & Francisco José Alcaraz-Quiles & David Ortiz-Rodriguez, 2018. "Enhancing Sustainability Transparency in Local Governments—An Empirical Research in Europe," Sustainability, MDPI, vol. 10(7), pages 1-22, June.
    9. Bono, Filippa & Giacomarra, Marcella, 2016. "The photovoltaic growth in the European Union requires stronger RES support," Journal of Policy Modeling, Elsevier, vol. 38(2), pages 324-339.
    10. Isabel Gallego-Álvarez & Mª Galindo-Villardón & Miguel Rodríguez-Rosa, 2015. "Analysis of the Sustainable Society Index Worldwide: A Study from the Biplot Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(1), pages 29-65, January.
    11. Nathalia Tejedor-Flores & Purificación Vicente-Galindo & Purificación Galindo-Villardón, 2017. "Sustainability Multivariate Analysis of the Energy Consumption of Ecuador Using MuSIASEM and BIPLOT Approach," Sustainability, MDPI, vol. 9(6), pages 1-15, June.
    12. Vallejo-Arboleda, Amparo & Vicente-Villardon, Jose L. & Galindo-Villardon, M.P., 2007. "Canonical STATIS: Biplot analysis of multi-table group structured data based on STATIS-ACT methodology," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4193-4205, May.
    13. Jacques Bénasséni & Mohammed Bennani Dosse, 2012. "Analyzing multiset data by the Power STATIS-ACT method," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 6(1), pages 49-65, April.
    14. Wang, Zhaohua & Danish, & Zhang, Bin & Wang, Bo, 2018. "The moderating role of corruption between economic growth and CO2 emissions: Evidence from BRICS economies," Energy, Elsevier, vol. 148(C), pages 506-513.
    15. Nirosha Hewa Wellalage & Stuart Locke & Helen Samujh, 2019. "Corruption, Gender and Credit Constraints: Evidence from South Asian SMEs," Journal of Business Ethics, Springer, vol. 159(1), pages 267-280, September.
    16. Dmitry Burakov & Alexander Bass, 2019. "Institutional determinants of environmental pollution in Russia: a non-linear ARDL approach," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(1), pages 510-524, September.
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