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Location matters for pro-environmental behavior: a spatial Markov Chains approach to proximity effects in differentiated waste collection

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  • Massimiliano Agovino
  • Alessandro Crociata
  • Pier Sacco

Abstract

We analyze data on differentiated waste collection (as a proxy of pro-environmental behaviors) in Italian provinces in the years 1999–2012. We make use of a Markov Spatial Transition approach to model the dynamic of local transitions among different levels of environmental pro-sociality, and we find that behaviors, and in particular differentiated waste collecting habits, tend to be strongly influenced by proximity effects, so that provinces with good levels of environmental pro-sociality may positively influence nearby ones, and vice versa for provinces with poor levels of environmental pro-sociality. We also show that in the long term separate clusters with markedly different levels of differentiated waste collection rates emerge. Copyright Springer-Verlag Berlin Heidelberg 2016

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  • Massimiliano Agovino & Alessandro Crociata & Pier Sacco, 2016. "Location matters for pro-environmental behavior: a spatial Markov Chains approach to proximity effects in differentiated waste collection," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 295-315, January.
    • Handle: RePEc:spr:anresc:v:56:y:2016:i:1:p:295-315
    DOI: 10.1007/s00168-015-0740-7
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    1. Agovino, Massimiliano & Musella, Gaetano, 2020. "Separate waste collection in mountain municipalities. A case study in Campania," Land Use Policy, Elsevier, vol. 91(C).
    2. Antonio Garofalo & Rosalia Castellano & Massimiliano Agovino & Gennaro Punzo & Gaetano Musella, 2019. "How Far is Campania from the Best-Performing Region in Italy? A Territorial-Divide Analysis of Separate Waste Collection," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(2), pages 667-688, April.
    3. Iacopo Odoardi & Chiara Burlina & Alessandro Crociata, 2023. "Pro-Environmental Determinants of Waste Separation: Does the Interaction of Human and Social Capital Matter? Evidence from Italian Provinces," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    4. Yabo Zhao & Dixiang Xie & Xiwen Zhang & Shifa Ma, 2021. "Integrating Spatial Markov Chains and Geographically Weighted Regression-Based Cellular Automata to Simulate Urban Agglomeration Growth: A Case Study of the Guangdong–Hong Kong–Macao Greater Bay Area," Land, MDPI, vol. 10(6), pages 1-19, June.
    5. Alessandro Concari & Gerjo Kok & Pim Martens, 2020. "A Systematic Literature Review of Concepts and Factors Related to Pro-Environmental Consumer Behaviour in Relation to Waste Management Through an Interdisciplinary Approach," Sustainability, MDPI, vol. 12(11), pages 1-50, May.
    6. Agovino, M. & Casaccia, M. & Crociata, A. & Sacco, P.L., 2019. "European Regional Development Fund and pro-environmental behaviour. The case of Italian separate waste collection," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 36-50.
    7. Cerciello, Massimiliano & Agovino, Massimiliano & Garofalo, Antonio, 2019. "The caring hand that cripples? The effects of the European regional policy on local labour market participation in Southern Italy," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    8. Massimiliano Agovino & Massimiliano Cerciello & Aniello Ferraro & Antonio Garofalo, 2021. "Spatial analysis of wildfire incidence in the USA: the role of climatic spillovers," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 6084-6105, April.
    9. Agovino, Massimiliano & Crociata, Alessandro & Sacco, Pier Luigi, 2019. "Proximity effects in obesity rates in the US: A Spatial Markov Chains approach," Social Science & Medicine, Elsevier, vol. 220(C), pages 301-311.
    10. Massimiliano Agovino & Massimiliano Cerciello & Aniello Ferraro & Antonio Garofalo, 2022. "A Regional Perspective on Social Exclusion in European Regions: Context, Trends and Policy Implications," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(2), pages 409-433, July.
    11. Liange Zhao & Jianfeng Zou & Zhijian Zhang, 2020. "Does China’s Municipal Solid Waste Source Separation Program Work? Evidence from the Spatial-Two-Stage-Least Squares Models," Sustainability, MDPI, vol. 12(4), pages 1-20, February.
    12. Canale, Rosaria Rita & De Simone, Elina & Di Maio, Amedeo & Parenti, Benedetta, 2019. "UNESCO World Heritage sites and tourism attractiveness: The case of Italian provinces," Land Use Policy, Elsevier, vol. 85(C), pages 114-120.
    13. Agovino, Massimiliano & Cerciello, Massimiliano & Musella, Gaetano, 2019. "The effects of neighbour influence and cultural consumption on separate waste collection. Theoretical framework and empirical investigation," Ecological Economics, Elsevier, vol. 166(C), pages 1-1.
    14. Massimiliano Cerciello & Massimiliano Agovino & Antonio Garofalo, 2019. "Estimating urban food waste at the local level: are good practices in food consumption persistent?," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(3), pages 863-886, October.
    15. Luisa Corrado & Andrea Fazio & Alessandra Pelloni, 2020. "Pro-environmental attitudes, local environmental conditions and recycling behavior," Working Paper series 20-21, Rimini Centre for Economic Analysis, revised Nov 2021.
    16. Massimiliano Cerciello, 2021. "Spatial patterns in food waste at the local level. A preliminary analysis for Italian data," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 83-101, February.
    17. Andrés Vallone & Coro Chasco, 2020. "Spatiotemporal methods for analysis of urban system dynamics: an application to Chile," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 421-454, April.
    18. Pier Luigi Sacco & Guido Ferilli & Giorgio Tavano Blessi, 2018. "From Culture 1.0 to Culture 3.0: Three Socio-Technical Regimes of Social and Economic Value Creation through Culture, and Their Impact on European Cohesion Policies," Sustainability, MDPI, vol. 10(11), pages 1-23, October.
    19. Rosalia Castellano & Gaetano Musella & Gennaro Punzo, 2019. "The effect of environmental attitudes and policies on separate waste collection: the case of Insular Italy," Letters in Spatial and Resource Sciences, Springer, vol. 12(1), pages 63-85, April.
    20. Massimiliano Agovino & Maria Ferrara & Katia Marchesano & Antonio Garofalo, 2020. "The separate collection of recyclable waste materials as a flywheel for the circular economy: the role of institutional quality and socio-economic factors," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(2), pages 659-681, July.
    21. Massimiliano Agovino & Maria Ferrara & Antonio Garofalo, 2017. "The driving factors of separate waste collection in Italy: a multidimensional analysis at provincial level," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(6), pages 2297-2316, December.

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    More about this item

    Keywords

    Q53; R15; C23; C61;
    All these keywords.

    JEL classification:

    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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