WSEAS Transactions on Computers


Print ISSN: 1109-2750
E-ISSN: 2224-2872

Volume 18, 2019

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.



Typology for ICT Adoption of EU Environmental Policies

AUTHORS: Christiana Koliouska, Zacharoula Andreopoulou

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ABSTRACT: Information and Communication Technologies (ICT) have the potential to promote sustainable development as the growth in ICT is associated with environmental planning, research, conservation and planning. The aim of the paper is to create a typology for ICT adoption of EU environmental policies. The level of dependence on ICT solution and the level of complexity of the used ICT solutions by the established environmental policies are examined. The EU environmental policies are classified in three homogenous groups with similar ICT characteristics using K-Means cluster analysis. Regarding the classification according to the criteria, most EU environmental policies demonstrate high rate of ICT adoption and it constitutes a first and very important step for the transition to the new digital era, which is promoted by the European Union

KEYWORDS: ICT adoption; environmental policies; European Union; typology; ICT solutions

REFERENCES:

[ 1] Hart, S.L., et al. Beyond greening: strategies for a sustainable world. Harvard business review, Vol. 75, No. 1, 1997, pp. 66-77.

[2] Buchalcevova, A., Gala, L., Green ICT Adoption Survey Focused on ICT Lifecycle from the Consumer's Perspective (SMEs). Journal of competitiveness, Vol. 4, No. 4, 2012.

[3] Uddin, M., Rahman, A.A., Energy efficiency and low carbon enabler green IT framework for data centers considering green metrics. Renewable and Sustainable Energy Reviews, Vol. 16, No. 6, 2012, pp. 4078-4094.

[4] Kern, E., Dick, M., Naumann, S., Hiller, T. Impacts of software and its engineering on the carbon footprint of ICT. Environmental Impact Assessment Review, Vol. 52, 2015, pp. 53-61.

[5] Houghton, J.W.. ICT and the Environment in Developing Countries: an Overview of Opportunities and Developments, Communications & Strategies, Vol. 76, No. 39, 2009.

[6] Andreopoulou, Z.. Green Informatics: ICT for green and Sustainability. Agrárinformatika/Journal of Agricultural Informatics, Vol. 3, No. 2, 2012, pp.1-8.

[7] Labelle, R.. ICTs for e-Environment Guidelines for Developing Countries, with a Focus on Climate Change. Retrieved from http://www.itu.int (accessed 5 June 2018)

[8] Yi, L., Thomas, H.R.. A review of research on the environmental impact of e-business and ICT, Environment international, Vol. 33, No. 6, 2007, pp. 841-849.

[9] Roeth, H., Woeck, L., Hecks, R., Labelle, R., ICTs and climate change mitigation in developing countries. Centre for Development Informatics, Institute for Development Policy and Management, Manchester, 2012.

[10] Forge, S., Blackman, C., Bohlin, E., Cave, M.. A Green Knowledge Society-An ICT policy agenda to 2015 for Europe’s future knowledge society, 2009.

[11] Union. Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions, Brussels, 2014.

[12] Bakucs, Z., Fertő, I., Varga, Á., Benedek, Z.. Impact of European Union development subsidies on Hungarian regions. European Planning Studies, Vol. 26, No. 6, 2018, pp. 1121-1136.

[13] Dohse, D., Fornahl, D., Vehrke, J. Fostering place-based innovation and internationalization–the new turn in German technology policy. European Planning Studies, Vol. 26, No. 6, 2018, pp. 1137-1159.

[14] OECD. Greener and Smarter - ICTs, the Environment and Climate Change, Report to the Working Party on the Information Economy (WPIE), 2010.

[15] Kemp, R., Oltra, V.. Research insights and challenges on eco-innovation dynamics. Industry and Innovation, Vol. 18, No. 3, 2011, pp. 249-253.

[16] Liao, Z.. Content analysis of China’s environmental policy instruments on promoting firms’ environmental innovation. Environmental Science & Policy, Vol. 88, 2018, pp. 46-51.

[17] GeSI. SMART 2020. Enabling the low carbon economy in the information age, London, UK, 2008.

[18] Higon, D.A., Gholami, R., Shirazi, F.. ICT and environmental sustainability: A global perspective, Telematics and Informatics, Vol. 34, No. 4, 2017, pp. 85-95.

[19] Hilty, L.M., Hercheui, M.D.. ICT and sustainable development, What kind of information society? Governance, virtuality, surveillance, sustainability, resilience, 2010, pp. 227-235, Springer, Berlin, Heidelberg.

[20] Privitera, R., Palermo, V., Martinico, F., Fichera, A., La Rosa, D.. Towards lower carbon cities: urban morphology contribution in climate change adaptation strategies. European Planning Studies, Vol. 26, No. 4, 2018, pp. 812-837.

[21] Knill, C., Lenschow, A.. Implementing EU Environmental Policy: New Directions and Old Problems, Manchester University Press, Manchester, UK, 2000.

[22] Bondarouk, E., Mastenbroek, E.. Reconsidering EU Compliance: Implementation performance in the field of environmental policy, Environmental Policy and Governance, Vol. 28, No. 1, 2018, pp. 15-27.

[23] Niedertscheider, M., Haas, W., Görg, C.. Austrian climate policies and GHGemissions since 1990: What is the role of climate policy integration?, Environmental Science & Policy, Vol. 81, 2018, pp. 10- 17.

[24] Lafferty, W., Hovden, E.. Environmental policy integration: towards an analytical framework, Environmental politics, Vol. 12, No. 3, 2003, pp. 1-22.

[25] Nilsson, M.N., Persson, A.S.. Framework for analysing environmental policy integration, Journal of Environmental Policy & Planning, Vol. 5, No. 4, 2003, pp. 333-359.

[26] Runhaar, H., Driessen, P.P., Soer, L. Sustainable urban development and the challenge of policy integration: an assessment of planning tools for integrating spatial and environmental planning in the Netherlands, Environment and Planning B: Planning and Design, Vol. 36, No. 3, 2009, pp. 417-431.

[27] Persson, Å., Runhaar, H., KarlssonVinkhuyzen, S., Mullally, G., Russel, D., Widmer, A.. Environmental policy integration: Taking stock of policy practice in different contexts, Environmental Science & Policy, Vol. 85, 2018, pp. 113-115.

[28] WCED. Our common future, Report of the world commission on environment and development, 1987.

[29] Lenschow, A.. Environmental policy integration: Greening sectoral policies in Europe (ed.), Routledge, 2002.

[30] Claret, C., Metzger, M.J., Kettunen, M., ten Brink, P.. Understanding the integration of ecosystem services and natural capital in Scottish policy. Environmental Science & Policy, Vol. 88, 2018, pp. 32-38.

[31] EC. Method for Assessing ICT Implications of EU legislation. http://ec.europa.eu/idabc/servlets/Doc792e .pdf?id=32704 (accessed 27 February 2018)

[32] Jain, A.K.. Data clustering: 50 years beyond K-means, Pattern recognition letters, Vol. 31, No. 8, 2010, pp. 651-666.

[33] MacQueen, J.B.. Some methods for classifica- tion and analysis of multivariate observations, Fifth Symposium on Math, Statistics, and Probability, 1967, pp. 281– 297, Berkeley, CA.

[34] Wagstaff, K., Cardie, C., Rogers, S., Schrödl, S. Constrained k-means clustering with background knowledge, ICML, Vol. 1, 2001, pp. 577-584.

[35] Ross, T.J. Fuzzy logic with engineering applications (2nd ed.), Wiley, 2004.

[36] Faraoun, K.M., Boukelif, A. Neural networks learning improvement using the K-means clustering algorithm to detect network intrusions, International Journal of Computational Intelligence, Vol. 3, 2007, pp. 161–168.

[37] Mwasiagi, J.I., Wang, X.H., Huang, X.B. The use of K-means and artificial neural network to classify cotton lint, Fiber and Polymers, Vol. 10, 2009, pp. 379–383.

[38] Hekim, M., Orhan, U.. Subtractive approach to fuzzy c-means clustering method, Journal of ITUD, Vol. 10, No. 1, 2011.

[39] Orhan, U., Hekim, M., Ozer, M.. EEG signals classification using the K-means clustering and a multilayer perception neural network model, Expert Systems with Applications, Vol. 38, No. 10, 2011, pp. 13475-13481.

[40] Van Laerhoven, K.. Combining the selforganizing map and k-means clustering for on-line classification of sensor data, International Conference on Artificial Neural Networks, 2001, pp. 464-469, Springer, Berlin, Heidelberg.

[41] Blashfield, R.K. Aldenderfer, M.S.. The methods and problems of cluster analysis. Handbook of multivariate experimental psychology, 1998, pp. 447-473, Springer, US.

[42] Darken, C., Moody, J. Fast adaptive kmeans clustering: some empirical results, Neural Networks, IJCNN International Joint Conference on IEEE, 1990, pp. 233- 238.

[43] Waller, N.G., Kaiser, H.A., Illian, J.B., Manry, M.. A comparison of the classification capabilities of the 1- dimensional kohonen neural network with two pratitioning and three hierarchical cluster analysis algorithms, Psychometrika, Vol. 63, No. 1, 1998, pp. 5-22.

[44] Andreopoulou, Z., Koliouska, C., Zopounidis, C.. Multicriteria and clustering: Classification techniques in agrifood and environment. Springer, 2017.

[45] Guler, C., Thyne, G.D., McCray, J.E., Turner, K.A.. Evaluation of graphical and multivariate statistical methods for classification of water chemistry data, Hydrogeology journal, Vol. 10, No. 4, 2002, pp. 455-474.

[46] Quibria, M.G., Shamsun, N.A., Tschang, T., Reyes-Macasaquit, M.L.. Digital divide: determinants and policies with special reference to Asia, Journal of Asian Economic, Vol. 13, 2003, pp. 811-825.

[47] Andreopoulou, Z., Tsekouropoulos, G., Koutroumanidis, T., Vlachopoulou, M., Manos, B. Typology for e-business activities in the agricultural sector, International Journal of Business Information Systems, Vol. 3, No. 3, 2008, pp. 231-251.

[48] Houghton, J.W.. ICT and the environment in developing countries: a review of opportunities and developments, What kind of information society? Governance, virtuality, surveillance, sustainability, resilience, 2010, pp. 236-247. Springer, Berlin, Heidelberg.

[49] Hoeltl, A., Brandtweiner, R., Fuhrmann, B.. EU legislation advancing ICT to green?, WIT Transactions on Ecology and the Environment, Vol. 181, 2014, pp. 479- 489.

[50] Koliouska, C., Andreopoulou, Z.. Classification of ICT in EU environmental strategies, Journal of Environmental Protection and Ecology, Vol. 17, No. 4, 2016, pp. 1385-1392.

[51] Högström, J., Balfors, B., Hammer, M.. Planning for sustainability in expansive metropolitan regions: exploring practices and planners’ expectations in Stockholm, Sweden. European Planning Studies, Vol. 26, No. 3, 2018, pp. 439-457.

[52] Koliouska, C.. Sustainable development in European Union: The contribution of ICT in the environmental and forest policy, 18th Panhellenic Forestry Congress & International Workshop 'Information technology, Sustainable Development, scientific networks and Nature protection', pp. 1720-1726, October 8-11, 2017, Edessa, Greece.

WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2872, Volume 18, 2019, Art. #5, pp. 46-55


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