Congestion, Technical Returns, and the Minimum Efficient Scales of Local Public Expenditures: An Empirical Analysis for Japanese Cities
AbstractOn the basis of the standard model of local public production, we delineate the factors that account for the "U-shaped" per capita local public expenditures and relate them to construct an efficiency indicator for local populations. We articulate that population-induced changes in the per capita cost are related to the relative magnitude between the (i) technical elasticity of scale, which characterizes technology for the direct outputs produced by a government, and (ii) congestion elasticity, which characterizes consumption technology for the public services consumed by citizens. Those two elasticities allow us to construct an indicator that quantifies the distance of a local population from its minimum efficient scale (MES) for local public expenditures. We then estimate the urban public production structure in Japan and apply the analysis to the Japanese case. With the estimates obtained, we rank the Japanese cities according to the calculated values of the indicator.
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 CIRJE, Faculty of Economics, University of Tokyo in its series CIRJE F-Series with number CIRJE-F-852.
Length: 18 pages
Date of creation: May 2012
Date of revision:
Contact details of provider:
Postal: Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033
Web page: http://www.cirje.e.u-tokyo.ac.jp/index.html
More information through EDIRC
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-06-13 (All new papers)
- NEP-EFF-2012-06-13 (Efficiency & Productivity)
- NEP-PBE-2012-06-13 (Public Economics)
- NEP-URE-2012-06-13 (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.:
- Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, Oxford University Press, number 9780195060119, October.
- Stevens, Barbara J, 1978. "Scale, Market Structure, and the Cost of Refuse Collection," The Review of Economics and Statistics, MIT Press, vol. 60(3), pages 438-48, August.
- Brueckner, Jan K., 1981. "Congested public goods: The case of fire protection," Journal of Public Economics, Elsevier, vol. 15(1), pages 45-58, February.
- Hayes, Kathy J & Slottje, Daniel J, 1987. "Measures of Publicness Based on Demographic Scaling," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 713-18, November.
- Reiter, Michael & Weichenrieder, Alfons J., 1999. "Public Goods, Club Goods, and the Measurement of Crowding," Journal of Urban Economics, Elsevier, vol. 46(1), pages 69-79, July.
- Edwards, John H. Y., 1990. "Congestion function specification and the "publicness" of local public goods," Journal of Urban Economics, Elsevier, vol. 27(1), pages 80-96, January.
- Duncombe, William & Yinger, John, 1993. "An analysis of returns to scale in public production, with an application to fire protection," Journal of Public Economics, Elsevier, vol. 52(1), pages 49-72, August.
- Borcherding, Thomas E & Deacon, Robert T, 1972. "The Demand for the Services of Non-Federal Governments," American Economic Review, American Economic Association, vol. 62(5), pages 891-901, December.
- Bergstrom, Theodore C & Goodman, Robert P, 1973. "Private Demands for Public Goods," American Economic Review, American Economic Association, vol. 63(3), pages 280-96, June.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CIRJE administrative office).
If references are entirely missing, you can add them using this form.