Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

The role of provincial government spending composition in growth and convergence in China

Luintel, Kul ORCID: https://orcid.org/0000-0001-7430-3926, Matthews, Kent ORCID: https://orcid.org/0000-0001-6968-3098, Minford, Lucy, Valentinyi, Akos and Wang, Baoshun 2020. The role of provincial government spending composition in growth and convergence in China. Economic Modelling 90 , pp. 117-134. 10.1016/j.econmod.2020.04.024

Full text not available from this repository.

Abstract

hina’s development policy since 1978 has differed across regions. With rapid aggregate growth has come widening regional inequality. The fiscal decentralisation reforms in 1994 shifted political pressure onto provincial officials to boost local growth through local public investments. These investments affect regional convergence by counteracting regulatory frictions in factor accumulation, and can also determine steady-state growth. However, the effect of public spending allocations across physical and human capital on growth and convergence processes is empirically unexplored for Chinese provinces. We take provincial time-series data on public spending by category, finding local public spending and its components augment convergence rates differently across regions. Spending on education and health contributes significantly more to growth and convergence than capital spending, confirming that the public capital-spending bias is not a local growth-optimising strategy. We suggest a policy of aligning local government promotion incentives to human capital targets to correct local resource misallocation.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Publisher: Elsevier
ISSN: 0264-9993
Date of Acceptance: 25 April 2020
Last Modified: 07 Nov 2022 10:16
URI: https://orca.cardiff.ac.uk/id/eprint/131752

Citation Data

Cited 5 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item