Click here to download

Sustainability: A quantitative discourse analysis
Journal Title: RIVISTA DI STUDI SULLA SOSTENIBILITA' 
Author/s: Sara Fabbrizzi, Filomena Maggino, Nicola Marinelli, Silvio Menghini, Cecilia Ricci, Sandro Sacchelli 
Year:  2017 Issue: Language: English 
Pages:  15 Pg. 11-25 FullText PDF:  210 KB
DOI:  10.3280/RISS2017-001003
(DOI is like a bar code for intellectual property: to have more infomation:  clicca qui   and here 


The objective of this paper is to analyze the evolution of the scientific discourse regarding sustainability. 40000 abstracts were extracted from the Science Direct search engine, using "sustainable" or "sustainability" as keywords. Several text analysis techniques were combined to examine the scientific literature. The results show how discourse analysis of sustainability in the pre-Rio period is mostly focused on agriculture with an ecological and environmental emphasis. Though the post-Rio phase is still strongly connected to environmental issues, it takes on a holistic dimension that brings to light the social dimension. The issues of energy, knowledge transfer and the sustainability of urban areas become focal points. Moreover, the scientific debate highlights the relevance of indicators in an as-sessment and planning approach.
Keywords: Sustainability, Rio-Conference, text analysis, thematic analysis, agri-culture, indicators.

  1. Aureli Cutillo E., Bolasco S. (a cura di) (2004). Applicazioni di analisi statistica dei dati testuali. Roma: Sapienza Università Editrice.
  2. Bassi I., Zaccarin S., De Stefano D. (2014). Rural inter-firm networks as basis for multifunctional local system development: Evidence from an Italian alpine area. Land Use Policy, 38: 70-79.
  3. Benzécri J.P. (1992). Correspondence Analysis Handbook. New York: Marcel Dekker.
  4. Berry M.W., Kogan J. (2010). Text Mining: Application and Theory. Hoboken, N: John Wiley & Sons.
  5. Blühodorn G., Welsh I. (2007). Eco-politics beyond the paradigm of sustainability: a conceptual framework and research agenda. Environmental Politics, 16, 2: 185-205.
  6. Bolasco S., Cipriani R. (a cura di) (1995). Ricerca qualitativa e computer. Teorie, metodi e applicazioni. Milano: FrancoAngeli.
  7. Bolasco S. (1999). Analisi multidimensionale dei dati. Metodi, strategie e criteri d’interpretazione. Roma: Carocci.
  8. Bolasco S. (2005). Statistica testuale e text mining: alcuni paradigmi applicativi. Quaderni di Statistica, 7: 17-53.
  9. Bories D., Pichon P., Laborde C., Pichon F. (2014). What types of risks do French consumers perceive when purchasing wine? An exploratory study. Procedia-Social and Behvioral Science, 144: 247-255.
  10. Capone V., Petrillo G. (2013). Health Promotion in International Documents: Strengths and Weaknesses from Perspective of Community Empowerment. Journal of Community & Applied Social Psychology, 23: 98-114.
  11. Cookey P.E., Darnsawasdi R., Ratanachai C. (2017). Text mining analysis of institutional fit of Lake Basin water governance. Ecological Indicators, 72: 640-658.
  12. Cunsolo Willox A., Harper S.L., Ford J.L., Landman K., Houle K., Edge V.L., Rigolet Inuit Community Government (2012). “From this place and of this place”: Climate change, sense of place and health in Nunatsiavut, Canada. Social Science & Medicine, 75: 538-547.
  13. Daly H.E., Georgescu-Roegen N. (1977). Steady State and Thermodynamics. BioScience, 27: 770-771.
  14. Dafoe A. (2014). Science deserves better: the imperative to share complete replication files. Political Science & Politics, 47, 1: 60-66.
  15. Death C. (2011). Summit theatre: exemplary governmentality and environmental diplomacy in Johannesburg and Copenhagen. Environmental Politics, 20(1): 1-19.
  16. Della Ratta Rinaldi F. (2007). L’analisi multidimensionale dei testi. In: Cannavò L., Frudà L. (a cura di). Dall’analisi esplorativa al data mining. Roma: Carocci.
  17. Fabbrizzi S., Maggino F., Marinelli N., Menghini S., Ricci C., Sacchelli S. (2016). Sustainability and food: a text analysis of the scientific literature. Agriculture and Agricultural Science Procedia, 8: 670-679.
  18. Fløttum K., Müller Gjesdal A., Gjerstad Ø., Koteyko N. (2014). Representations of the future in English language blogs on climate change. Global Environmental Change, 29: 213-222.
  19. Glavic P., Lukman R. (2007). Review of sustainability terms and their definitions. Journal of Cleaner Production, 15(18): 1875-1885.
  20. Gaurav N., Sivasankari S., Kiran, G.S., Ninawe A., Selvin J. (2017). Utilization of bioresources for sustainable biofuels: A review. Renewable and Sustainable Energy Reviews, 73: 205-214.
  21. Hak T., Kovanda J., Weinzettel J. (2012). A method to assess the relevance of sustainability indicators: Application to the indicator set of the Czech Republic’s Sustainable Development Strategy. Ecological Indicators, 17: 46-57.
  22. Happaerts S. (2012). Sustainable development and subnational governments: Going beyond symbolic politics? Environmental Development, 4: 2-17.
  23. Jolliffe I.T (2002). Principal Component Analysis. New York: Springer-Verlag.
  24. Kang D., Park Y. (2014). Review-based measurement of customer satisfaction in mobile service: Sentiment analysis and VIKOR approach. Expert Systems with Applications, 41(4): 1041-1050.
  25. Kötter R., Balsiger W. (1999). Interdisciplinarity and transdisciplinarity: a constant challenge to the sciences. Issues in Integrative Studies, 17: 87-120.
  26. La Camera F. (2003). Sviluppo sostenibile. Roma: Editori Riuniti.
  27. Laniak G.F., Olchin G., Goodall J., Voinov A., Hill M., Glynn P. et al. (2013). Integrated environmental modelling: a vision and roadmap for the future. Environmental Modelling & Software, 39: 3-23.
  28. Losito G. (2007). L’analisi del contenuto nella ricerca sociale. In: Cannavò L., Frudà L. (a cura di). Tecniche speciali di rilevazione, trattamento e analisi. Roma: Carocci.
  29. Lozano R., Lozano F., Mulder K., Huisingh D., Waas T. (2013). Advancing higher education for sustainable development: international insights and critical reflections. Journal of Cleaner Production, 48: 3-9.
  30. Maks E., Vossen P. (2012). A Lexicon Model for Deep Sentiment Analysis and Opinion Mining Applications. Decision Support Systems, 53: 680-688.
  31. Mazzonetto A.C., Fiates G.M.R. (2014). Perception and choices of Brazilian children as consumers of food products. Appetite, 78: 179-184.
  32. Newig J. (2007). Symbolic environmental legislation and societal self-deception. Environmental Politics, 16(2): 276-296.
  33. Ogiela L. (2013). Semantic analysis and biological modelling in selected classes of cognitive information systems. Mathematical and Computer Modelling, 58: 1405-1414.
  34. Oldenhuizing J., de Kraker J., Valkering P. (2013). Design of a Quality of Life monitor to promote learning in a multi-actor network for sustainable urban development. Journal of Cleaner Production, 49: 74-84.
  35. Park K., Kremer G.E.O. (2017). Text mining-based categorization and user perspective analysis of environmental sustainability indicators for manufacturing and service systems. Ecological Indicators, 72: 803-820.
  36. Phillis Y.A., Kouikoglou V.S., Verdugo C. (2017). Urban sustainability assessment and ranking of cities. Computers, Environment and Urban Systems, 64: 254-265.
  37. Plumecocq G. (2014). The second generation of ecological economics: How far has the apple fallen from the tree? Ecological Economics, 107: 457-468.
  38. Rinne J., Lyytimӓki J., Kautto P. (2013). From sustainability to well-being: Lessons learned from the use of sustainable development indicators at national and EU level. Ecological Indicators, 35: 35-42.
  39. Rivera S.J., Minsker B.S., Work D.B., Roth D. (2014). A text mining framework for advancing sustainability indicators. Environmental Modelling & Software, 62: 128-138.
  40. Robertson J.L., Barling J. (2017). Toward a new measure of organizational environmental citizenship behavior. Journal of Business Research, 75: 57-66.
  41. Rollero C., De Piccoli N. (2010). Place attachment, identification and environment perception: An empirical study. Journal of Environmental Psychology, 30(2): 198-205.
  42. Savaresi S.M., Boley D.L. (2001). On the performance of bisecting K-means and PDDP, 1st SIAM Conference in Data Mining, Chicago, IL, USA, April 5-7, paper n. 5: 1-14.
  43. Sengers F., Raven R.P.J., Van Venrooij A. (2010). From riches to rags: Biofuels, media discourses, and resistance to sustainable energy technologies. Energy Policy, 38: 5013-5027.
  44. Singal M. (2012). Effect of consumer sentiment on hospitality expenditures and stock returns. International Journal of Hospitality Management, 31: 511-521.
  45. Souza R.G., Rosenhead J., Salhofer S.P., Valle R.A.B., Lins M.P.E. (2015). Definition of sustainability impact categories based on stakeholder perspectives. Journal of Cleaner Production, 105: 41-51.
  46. Szerszynsky B. (2007). The post-ecologist condition: irony as symptom and cure. Environmental Politics, 16, 2: 337-355.
  47. Tanguay G.A., Rajaonson J., Lefebvre J.F., Lanoie P. (2010). Measuring the sustainability of cities: An analysis of the use of local indicators. Ecological Indicators, 10(2): 407-418.
  48. Tukker A. (2013). Knowledge collaboration and learning by aligning global sustainability programs: reflections in the context of Rio+20. Journal of Cleaner Production, 48: 272-279.
  49. UNESCO (2007). The UN Decade of Education for Sustainable Development (DESD 2005-2014): The First Two Years. Paris: UNESCO.
  50. Vinnari M., Tapio P. (2012). Sustainability of diets: From concepts to governance. Ecological Economics, 74: 46-54.
  51. White M.A. (2013). Sustainability: I Know it when I see it. Ecological Economics, 86: 213-217.

Sara Fabbrizzi, Filomena Maggino, Nicola Marinelli, Silvio Menghini, Cecilia Ricci, Sandro Sacchelli, in "RIVISTA DI STUDI SULLA SOSTENIBILITA'" 1/2017, pp. 11-25, DOI:10.3280/RISS2017-001003

   

FrancoAngeli is a member of Publishers International Linking Association a not for profit orgasnization wich runs the CrossRef service, enabing links to and from online scholarly content