Revisiting the Environmental Kuznets Curve: The Spatial Interaction between Economy and Territory
A complex interplay of socio-ecological drivers of change exists at the different spatiotemporal scales affecting environmental degradation. This is a key issue worldwide and needs to be understood to develop efficient management solutions. One of the most applied theories in the regional analysis i...
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doaj-8c663b2dea534daeaf07472849e8f4902020-11-25T03:06:34ZengMDPI AGEconomies2227-70992020-09-018747410.3390/economies8030074Revisiting the Environmental Kuznets Curve: The Spatial Interaction between Economy and TerritoryEnrico Maria Mosconi0Andrea Colantoni1Filippo Gambella2Eva Cudlinová3Luca Salvati4Jesús Rodrigo-Comino5Department of Economics, Engeneering, Society and Business, University of Tuscia, Via del Paradiso 47, I-01100 Viterbo, ItalyDepartment of Agricultural and Forest Science, University of Tuscia, Via S. Camillo de Lellis snc, I-01100 Viterbo, ItalyDepartment of Agricultural Science, University of Sassari, Viale Italia 39, I-07100 Sassari, ItalyDepartment of Regional Management, Faculty of Economics, University of South Bohemia in České Budějovice, 13 CZ-37005 Studentská, Czech RepublicDepartment of Economics and Law, University of Macerata, Via Armaroli 43, I-62100 Macerata, ItalyPhysical Geography, Trier University, 54286 Trier, GermanyA complex interplay of socio-ecological drivers of change exists at the different spatiotemporal scales affecting environmental degradation. This is a key issue worldwide and needs to be understood to develop efficient management solutions. One of the most applied theories in the regional analysis is the U-shaped relationship between environmental degradation and the level of income in a given economic system or Environmental Kuznets Curve (EKC). Specifically, the EKC hypothesis underlines the (potentially positive) role of formal responses to environmental degradation grounded on government policies that are usually more ambitious in wealthier economic systems. However, there is a lack of knowledge on the role of space in EKC, arguing that spatial variability in the environment–income relationship may indicate additional targets for integrated socio–environmental policies. We hypothesize that a spatially differentiated response to environmental degradation could better adapt to differentiated local contexts. Therefore, to achieve this goal, we present a multi-scale investigation of degradation processes at the local level, providing a refined knowledge of the environment–economy linkages considering more traditional, cross-country and cross-region exercises. Our results demonstrated that—together with temporal, sectoral, and institutional aspects—space and, consequently, the related analysis’ spatial scales, are significant dimensions in ecological economics, whose investigation requires improvements in data collection and dedicated statistical approaches.https://www.mdpi.com/2227-7099/8/3/74spacescaleland degradationexternalitiesindicatorsItaly |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Enrico Maria Mosconi Andrea Colantoni Filippo Gambella Eva Cudlinová Luca Salvati Jesús Rodrigo-Comino |
spellingShingle |
Enrico Maria Mosconi Andrea Colantoni Filippo Gambella Eva Cudlinová Luca Salvati Jesús Rodrigo-Comino Revisiting the Environmental Kuznets Curve: The Spatial Interaction between Economy and Territory Economies space scale land degradation externalities indicators Italy |
author_facet |
Enrico Maria Mosconi Andrea Colantoni Filippo Gambella Eva Cudlinová Luca Salvati Jesús Rodrigo-Comino |
author_sort |
Enrico Maria Mosconi |
title |
Revisiting the Environmental Kuznets Curve: The Spatial Interaction between Economy and Territory |
title_short |
Revisiting the Environmental Kuznets Curve: The Spatial Interaction between Economy and Territory |
title_full |
Revisiting the Environmental Kuznets Curve: The Spatial Interaction between Economy and Territory |
title_fullStr |
Revisiting the Environmental Kuznets Curve: The Spatial Interaction between Economy and Territory |
title_full_unstemmed |
Revisiting the Environmental Kuznets Curve: The Spatial Interaction between Economy and Territory |
title_sort |
revisiting the environmental kuznets curve: the spatial interaction between economy and territory |
publisher |
MDPI AG |
series |
Economies |
issn |
2227-7099 |
publishDate |
2020-09-01 |
description |
A complex interplay of socio-ecological drivers of change exists at the different spatiotemporal scales affecting environmental degradation. This is a key issue worldwide and needs to be understood to develop efficient management solutions. One of the most applied theories in the regional analysis is the U-shaped relationship between environmental degradation and the level of income in a given economic system or Environmental Kuznets Curve (EKC). Specifically, the EKC hypothesis underlines the (potentially positive) role of formal responses to environmental degradation grounded on government policies that are usually more ambitious in wealthier economic systems. However, there is a lack of knowledge on the role of space in EKC, arguing that spatial variability in the environment–income relationship may indicate additional targets for integrated socio–environmental policies. We hypothesize that a spatially differentiated response to environmental degradation could better adapt to differentiated local contexts. Therefore, to achieve this goal, we present a multi-scale investigation of degradation processes at the local level, providing a refined knowledge of the environment–economy linkages considering more traditional, cross-country and cross-region exercises. Our results demonstrated that—together with temporal, sectoral, and institutional aspects—space and, consequently, the related analysis’ spatial scales, are significant dimensions in ecological economics, whose investigation requires improvements in data collection and dedicated statistical approaches. |
topic |
space scale land degradation externalities indicators Italy |
url |
https://www.mdpi.com/2227-7099/8/3/74 |
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