Municipal waste generation and the EKC hypothesis new evidence exploiting province-based panel data

Massimiliano Mazzanti, Anna Montini () and Roberto Zoboli

Applied Economics Letters, 2009, vol. 16, issue 7, 719-725

Abstract: This article provides empirical evidence on delinking and Environmental Kuznets Curve (EKC) for municipal waste generation in Italy. A disaggregated panel data-set on Italian Provinces is exploited. The empirical analysis of different specifications shows a first evidence in favour of an EKC relationship with regard to waste generation. Nevertheless, the turning point (TP) is at very high levels of added value per capita (around 23 000-26 000€), which concern a very limited number of wealthy Northern Italian provinces. Finally, the test on some waste management instruments proxies, leads to the conclusion that they are not yet impacting waste generation. To lower the TPs and to avoid an increasing gap between geographical areas, market based and more effective policy instruments should be implemented. In particular, the weight of waste policies should be rebalanced towards waste prevention targets according to the European waste hierarchy.

Date: 2009
References: View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.informaworld.com/openurl?genre=article& ... 40C6AD35DC6213A474B5 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:apeclt:v:16:y:2009:i:7:p:719-725

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

DOI: 10.1080/13504850701221824

Access Statistics for this article

Applied Economics Letters is currently edited by Anita Phillips

More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().