The Decoupling of Affluence and Waste Discharge under Spatial Correlation: Do Richer Communities Discharge More Waste?
AbstractAlthough there are many studies on the environmental Kuznets curve, very few of them address municipal solid waste cases, and there is still controversy concerning the validity of the waste Kuznets curve hypothesis. In this paper, we provide empirical evidence for the waste Kuznets curve hypothesis by applying spatial econometrics methods to municipal-level data in Japan. To our knowledge, this is the first study that finds valid evidence for the waste Kuznets curve hypothesis in the absolute decoupling manner. The successful result owes in part to our highly disaggregated data and also to the use of a spatial econometric model that takes into account the mimicking behavior among neighboring municipalities. The former indicates that distinguishing between household and business waste is the key to revealing the waste–income relationship, while the latter implies the importance of peer effects when municipal governments formulate waste-reduction policies.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by National Graduate Institute for Policy Studies in its series GRIPS Discussion Papers with number 11-07.
Length: 28 pages
Date of creation: Aug 2011
Date of revision:
Contact details of provider:
Postal: 7-22-1 Roppongi, Minato-ku, Tokyo, Japan 106-8677
Web page: http://r-center.grips.ac.jp/DiscussionPapers
More information through EDIRC
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-08-22 (All new papers)
- NEP-ENV-2011-08-22 (Environmental Economics)
- NEP-GEO-2011-08-22 (Economic Geography)
- NEP-URE-2011-08-22 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Massimiliano Mazzanti & Anna Montini & Francesco Nicolli, 2010. "Waste Generation and Landfill Diversion Dynamics: Decentralised Management and Spatial Effects," Working Papers 2010.27, Fondazione Eni Enrico Mattei.
- Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003.
"Measuring the benefits of air quality improvement: a spatial hedonic approach,"
Journal of Environmental Economics and Management,
Elsevier, vol. 45(1), pages 24-39, January.
- Kim, Chong Won & Phipps, Tim T. & Anselin, Luc, 1998. "Measuring The Benefits Of Air Quality Improvement: A Spatial Hedonic Approach," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20959, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Maddison, David, 2006. "Environmental Kuznets curves: A spatial econometric approach," Journal of Environmental Economics and Management, Elsevier, vol. 51(2), pages 218-230, March.
- Berrens, Robert P. & Bohara, Alok K. & Gawande, Kishore & Pingo Wang, 1997. "Testing the inverted-U hypothesis for US hazardous waste: An application of the generalized gamma model," Economics Letters, Elsevier, vol. 55(3), pages 435-440, September.
- Pingo Wang & Alok Bohara & Robert Berrens & Kishore Gawande, 1998. "A risk-based environmental Kuznets curve for US hazardous waste sites," Applied Economics Letters, Taylor and Francis Journals, vol. 5(12), pages 761-763.
- Massimiliano Mazzanti & Roberto Zoboli, 2009. "Municipal Waste Kuznets Curves: Evidence on Socio-Economic Drivers and Policy Effectiveness from the EU," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 44(2), pages 203-230, October.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If references are entirely missing, you can add them using this form.