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Satisfaction with the Environmental Condition in the Italian Regions between 2004 and 2020

Author

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  • Laureti, Lucio
  • Costantiello, Alberto
  • Leogrande, Angelo

Abstract

In the following article, the “Satisfaction with the Environmental Condition” in the 20 Italian regions between 2004 and 2020 was estimated using ISTAT-BES data. The data were analyzed using the following econometric techniques, namely: Panel Data with Random Effects, Panel Data with Fixed Effects, Dynamic Panel, Pooled OLS, WLS. The results show that satisfaction with the environmental situation is positively associated with the following variables "People with at least high school diploma", "Satisfaction with leisure time", "Concern for the deterioration of the landscape" and negatively associated with "Gross disposable income per capita", "Dissatisfaction with the landscape of the place of life", "Perception of the risk of crime". A cluster analysis was then carried out using the unsupervised k-Means algorithm optimized through the Silhouette coefficient and 3 clusters were found. A comparative analysis was then carried out between eight different machine learning algorithms to predict the trend of satisfaction by environmental situation. The analysis showed that the Tree Ensemble Regression algorithm is the best predictor and estimates a reduction of the variable of 0.05%. Subsequently, using augmented data, a further prediction was made with an estimated result equal to -1.93%.

Suggested Citation

  • Laureti, Lucio & Costantiello, Alberto & Leogrande, Angelo, 2022. "Satisfaction with the Environmental Condition in the Italian Regions between 2004 and 2020," MPRA Paper 112460, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:112460
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    File URL: https://mpra.ub.uni-muenchen.de/112460/1/MPRA_paper_112460.pdf
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    References listed on IDEAS

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    1. Nihal Senlier & Reyhan Yildiz & E. Aktaş, 2009. "A Perception Survey for the Evaluation of Urban Quality of Life in Kocaeli and a Comparison of the Life Satisfaction with the European Cities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 94(2), pages 213-226, November.
    2. Christopher L Ambrey & Christopher M Fleming, 2011. "The influence of the natural environment and climate on life satisfaction in Australia," Discussion Papers in Economics economics:201101, Griffith University, Department of Accounting, Finance and Economics.
    3. Christopher Ambrey & Christopher Fleming, 2014. "Public Greenspace and Life Satisfaction in Urban Australia," Urban Studies, Urban Studies Journal Limited, vol. 51(6), pages 1290-1321, May.
    4. Ambrey, Christopher L. & Fleming, Christopher M. & Chan, Andrew Yiu-Chung, 2014. "Estimating the cost of air pollution in South East Queensland: An application of the life satisfaction non-market valuation approach," Ecological Economics, Elsevier, vol. 97(C), pages 172-181.
    5. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio & Leogrande, Domenico, 2021. "The Determinants of Landscape and Cultural Heritage Among Italian Regions in the Period 2004-2019," MPRA Paper 110814, University Library of Munich, Germany.
    6. Ambrey, Christopher L. & Fleming, Christopher M., 2011. "Valuing scenic amenity using life satisfaction data," Ecological Economics, Elsevier, vol. 72(C), pages 106-115.
    7. Bruno S. Frey & Simon Luechinger & Alois Stutzer, 2010. "The Life Satisfaction Approach to Environmental Valuation," Annual Review of Resource Economics, Annual Reviews, vol. 2(1), pages 139-160, October.
    8. Tsurumi, Tetsuya & Managi, Shunsuke, 2015. "Environmental value of green spaces in Japan: An application of the life satisfaction approach," Ecological Economics, Elsevier, vol. 120(C), pages 1-12.
    9. Erda Wang & Nannan Kang, 2019. "Does life satisfaction matter for pro-environmental behavior? Empirical evidence from China General Social Survey," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(1), pages 449-469, January.
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    Cited by:

    1. Leogrande, Angelo, 2022. "Life Expectancy at Birth in the Italian Regions," MPRA Paper 112801, University Library of Munich, Germany.
    2. Leogrande, Angelo, 2022. "Healthy Life Expectancy at Birth in the Italian Regions," MPRA Paper 112860, University Library of Munich, Germany.
    3. Leogrande, Angelo, 2022. "Workers in the Knowledge Economy in Europe," MPRA Paper 112538, University Library of Munich, Germany.

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    More about this item

    Keywords

    Environmental Economics; Valuation of Environmental Effects; Sustainability; Government Policy; Ecological Economics.;
    All these keywords.

    JEL classification:

    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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