Hostname: page-component-78c5997874-dh8gc Total loading time: 0 Render date: 2024-11-19T07:49:26.613Z Has data issue: false hasContentIssue false
  • English
  • Français

The decoupling of affluence and waste discharge under spatial correlation: Do richer communities discharge more waste?*

Published online by Cambridge University Press:  28 May 2014

Daisuke Ichinose ,
Masashi Yamamoto  and
Yuichiro Yoshida
Daisuke Ichinose
Affiliation:
College of Economics, Rikkyo University, Tokyo, Japan. E-mail: [email protected]
Masashi Yamamoto
Affiliation:
Center for Far Eastern Studies, University of Toyama, 3190 Gofuku, Toyama-shi, Toyama-ken, 930-8555, Japan. Tel: +81 76 445 6455. Fax: +81 76 445 6510. E-mail: [email protected]
Yuichiro Yoshida
Affiliation:
Graduate School for international Development and Cooperation, Hiroshima University, Higashi-Hiroshima, Japan. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

A number of developing countries have come to face the growing problems of municipal solid waste management caused by rapid economic growth. Although there are many studies on the environmental Kuznets curve, very few address the issue of municipal solid waste, and there is still controversy concerning the validity of the waste version of the Kuznets curve hypothesis. It is demonstrated that the turning point for household municipal solid waste is approximately 3.7 million yen per person, which is far less than the maximum income in the sample and valid evidence for absolute decoupling. The success of our study partially stems from our highly disaggregated data and use of spatial econometrics. The former aspect indicates that distinguishing between household and business waste reveals the waste–income relationship, whereas the latter indicates the importance of peer effects when municipal governments formulate waste-reduction policies.

Type
Research Article
Information
Environment and Development Economics , Volume 20 , Issue 2 , April 2015 , pp. 161 - 184
Copyright
Copyright © Cambridge University Press 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

*

The original version of this article was published with the incorrect title. A notice detailing this has been published and the error rectified in the online and print PDF and HTML copies.

References

Abrate, G. and Ferraris, M. (2010), ‘The Environmental Kuznets Curve in the municipal solid waste sector’, HERMES Working Paper No. 1, HERMES, MoncalieriGoogle Scholar
Anselin, L. (1988), Spatial Econometrics: Methods and Models, Dordrechut: Springer.CrossRefGoogle Scholar
Anselin, L. (2001), ‘Spatial econometrics,’ in Baltagi, B.H. (ed.), A Companion to Theoretical Econometrics, Oxford: Basil Blackwell, pp. 310–330.Google Scholar
Anselin, L. and Florax, R.J.G.M. (1995), ‘Small sample properties of tests for spatial dependence in regression models: some further results’, in Anselin, L. and Florax, R.J.G.M. (eds), New Directions in Spatial Econometrics, Berlin: Springer-Verlag, pp. 21–74.CrossRefGoogle Scholar
Anselin, L. and Rey, S. (1991), ‘Properties of tests for spatial dependence in linear regression models’, Geographical Analysis 23: 110–131.CrossRefGoogle Scholar
Anselin, L., Bera, A.K., Florax, R., and Yoon, M.J. (1996), ‘Simple diagnostic tests for spatial dependence’, Regional Science and Urban Economics 26: 77–104.CrossRefGoogle Scholar
Berrens, R.P., Bohara, A.K., Gawande, K., and Wang, P. (1997), ‘Testing the inverted-U hypothesis for US hazardous waste: an application of the generalized gamma model’, Economics Letters 55: 435–440.CrossRefGoogle Scholar
Cole, M., Rayner, A., and Bates, J. (1997), ‘The EKC: an empirical analysis’, Environment and Development Economics 2: 401–416.CrossRefGoogle Scholar
De Jaeger, S. (2011), ‘The political cost of residual municipal solid waste taxation: perception versus reality’, Proceedings of the 18th EAERE Conference, Rome, 29 June–2 July.Google Scholar
DUEIIP (2001), Delhi Urban Environment and Infrastructure Improvement Project, Delhi: Government of India Ministry of Environment and Forests and Government of National Capital Territory of Delhi Planning Department.Google Scholar
Eyckmans, J., De Jaeger, S., and Verbeke, T. (2009), ‘Waste demand in the context of waste-price mimicking and waste tourism’, Proceedings of the 17th EAERE Conference, Amsterdam, 24–27 June.Google Scholar
Fischer-Kowalski, M. and Amann, C. (2001), ‘Beyond IPAT and Kuznets Curves: globalization as a vital factor in analyzing the environmental impact of socio-economic metabolism’, Population and Environment 23: 7–47.CrossRefGoogle Scholar
Florax, R. and Folmer, H. (1992), ‘Specification and estimation of spatial linear regression models: monte carlo evaluation of pre-test estimators, Regional Science and Urban Economics 22: 405–432.CrossRefGoogle Scholar
Florax, R.J.G.M., Folmer, H., and Rey, S.J. (2003), ‘Specification searches in spatial econometrics: the relevance of Hendry's methodology’, Regional Science and Urban Economics 33: 557–579.CrossRefGoogle Scholar
Hage, O., Sandberg, K., Soderhölm, P., and Berglund, C. (2008), ‘Household plastic waste collection in Swedish municipalities: a spatial-econometric approach’, Proceedings of the 16th EAERE Conference, Gothenburg, 25–28 June.Google Scholar
Ham, J.Y. (2009), ‘Convergence of recycling rates in the UK: a spatial econometric perspective’, Proceedings of the 17th EAERE Conference, Amsterdam, 24–27 June.Google Scholar
Japanese Ministry of the Environment (2008), State of Discharge and Treatment of Municipal Solid Waste (each year). Tokyo: Ministry of the Environment.Google Scholar
Karousakis, K. (2009), ‘MSW generation disposal and recycling: empirical evidence from OECD countries’, in Mazzanti, M. and Montini, A. (eds), Waste and Environmental Policy, London: Routledge.Google Scholar
Kelejian, H.H. and Prucha, I.R. (1998), ‘A generalized spatial two stage least squares procedure for estimating a spatial autoregressive model with autoregressive disturbances’, Journal of Real Estate Finance and Economics 17: 99–121.CrossRefGoogle Scholar
Kelejian, H.H. and Prucha, I.R. (1999), ‘A Generalized Moments Estimator for the autoregressive parameter in a spatial model’, International Economic Review 40: 509–533.CrossRefGoogle Scholar
Kinnaman, T. and Fullerton, D. (2000), ‘Garbage and recycling with endogenous local policy’, Journal of Urban Economics 48: 419–442.CrossRefGoogle Scholar
LeSage, J.P. and Pace, R.K. (2009), Introduction to Spatial Econometrics, Boca Raton, FL: CRC Press.CrossRefGoogle Scholar
Maddala, G. (1992), Introduction to Econometrics, New York: MacMillan.Google Scholar
Maddison, D. (2006), ‘Environmental Kuznets curves: a spatial econometric approach’, Journal of Environmental Economics and Management 51: 218–230.CrossRefGoogle Scholar
Managi, S. and Kaneko, S. (2009), ‘Environmental performance and returns to pollution abatement in China’, Ecological Economics 68: 1643–1651.CrossRefGoogle Scholar
Mazzanti, M. (2008), ‘Is waste generation de-linking from economic growth? Empirical evidence for Europe’, Applied Economics Letters 15: 287–291.CrossRefGoogle Scholar
Mazzanti, M. and Zoboli, R. (2005), ‘Delinking and environmental Kuznets curves for waste indicators in Europe’, Environmental Sciences 3: 77–78.CrossRefGoogle Scholar
Mazzanti, M. and Zoboli, R. (2009), ‘Municipal waste Kuznets curves: evidence on socio-economic drivers and policy effectiveness from the EU’, Environmental and Resource Economics 44: 203–230.CrossRefGoogle Scholar
Mazzanti, M., Montini, A., and Zoboli, R. (2008), ‘Municipal waste generation and socioeconomic drivers’, Journal of Environment and Development 17: 51–69.CrossRefGoogle Scholar
Mazzanti, M., Montini, A., and Zoboli, R. (2009), ‘Municipal waste generation and the EKC hypothesis: new evidence exploiting province-based panel data’, Applied Economics Letters 16: 719–725.CrossRefGoogle Scholar
Mazzanti, M., Montini, A., and Nicolli, F. (2011), ‘Embedding landfill diversion in economic, geographical and policy settings’, Applied Economics 43(24): 3299–3311.CrossRefGoogle Scholar
Mazzanti, M., Montini, A., and Nicolli, F. (2012), ‘Waste dynamics in economic and policy transitions: decoupling, convergence and spatial effects’, Journal of Environmental Planning and Management 55(5): 563–581.CrossRefGoogle Scholar
Ministry of Internal Affairs and Communications (2008), The System of Social and Demographic Statistics of Japan. Tokyo: Ministry of Internal Affairs.Google Scholar
OECD (2002), Indicators to Measure Decoupling of Environmental Pressure from Economic Growth, Paris: OECD.Google Scholar
Poirier, D.J. (1988), ‘Frequentist and subjectivist perspectives on the problems of model building in economics’, Journal of Economic Perspectives, 2: 121–144.CrossRefGoogle Scholar
Raymond, L. (2004), ‘Economic growth as environmental policy? Reconsidering the environmental Kuznets curve’, Journal of Public Policy 24: 327–348.CrossRefGoogle Scholar
Ross, J. (2013), ‘Are community-nuisance fixcal zoning arrangements undermined by state property tax reforms? Evidence from nuclear plants and school finance equalization’, Land Economics 89(3): 449–465.CrossRefGoogle Scholar
Wang, P., Bohara, A.K., Berrens, R.P., and Gawande, K. (1998), ‘A risk-based environmental Kuznets curve for US hazardous waste sites’, Applied Economics Letters 5: 761–763.CrossRefGoogle Scholar
Wooldridge, J.M. (2002), Econometric Analysis of Cross Section and Panel Data, Cambridge, MA: MIT Press.Google Scholar
Zhang, D.Q, Tan, S.K., and Gersberg, R.M. (2010), ‘Municipal solid waste management in China: status, problems and challenges’, Journal of Environmental Management 91(8): 1623–1633.CrossRefGoogle Scholar
Supplementary material: PDF

Ichinose Supplementary Material

Appendix

Download Ichinose Supplementary Material(PDF)
PDF 115.1 KB