Efficient Scale of Local Government in China : Quantile Regression Approach to County-Level Data

Material type: 文書・図像類

Author: Shi, Yingxinほか

Publisher: Graduate School of Economics and Osaka School of International Public Policy (OSIPP), Osaka University

Publication date: 2014-04

Material Format: Paper

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Note (General)：: We investigate the effects of urban and rural populations and area sizes on the expenditures of the prefecture-level local government. We found the fo...

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Paper

Material Type: 文書・図像類
Title: Efficient Scale of Local Government in China : Quantile Regression Approach to County-Level Data
Author/Editor: Shi, Yingxin
Fukushige, Mototsugu
Author Heading: Shi, Yingxin
Fukushige, Mototsugu
https://nrid.nii.ac.jp/nrid/1000010208936
Publication, Distribution, etc.: Graduate School of Economics and Osaka School of International Public Policy (OSIPP), Osaka University
Publication Date: 2014-04
Publication Date (W3CDTF): 2014-04
Periodical title: Discussion Papers In Economics And Business
No. or year of volume/issue: 14-15
Volume: 14-15
Pages: 1-35
Text Language Code: eng
Subject Heading: Efficient scale
Local government
Quantile regression
China
Target Audience: 一般
Note (General): We investigate the effects of urban and rural populations and area sizes on the expenditures of the prefecture-level local government. We found the following three results. The first relates to the expenditure for urban populations. At around 220,000 people, per capita local government expenditure is minimized in our simulation. The second is that the expenditure for rural populations is proportional to the population size. The third finding is that the expenditure in accordance with the areas is also proportional to the area size. This cost structure is the reason why China’s recent rapid urbanization increases prefectural government’s fiscal distress.
Periodical Title (NCID): AA1160366X
https://ci.nii.ac.jp/ncid/AA1160366X
References (URI): URI
http://www2.econ.osaka-u.ac.jp/library/global/dp/1415.pdf
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 大阪大学 : 大阪大学学術情報庫　桜華