Resource abundance and economic growth in China
Ying Fang () and
Sung Y. Park ()
China Economic Review, 2012, vol. 23, issue 3, 704-719
This paper revisits the resource curse phenomenon in China and differs from the previous studies in four respects: (i) City-level data is used; (ii) A spatial variable is constructed to estimate the diffusion effect of natural resources among cities in the same province; (iii) The impact of resource abundance on economic development is investigated not only at the city level but also at the prefectural level in China; (iv) We use a functional coefficient regression model to deal with city-specific heterogeneity and, at the same time, analyze the transmission mechanism of the resource curse phenomenon. Our empirical results show that there is no significant evidence to support the existence of a resource curse phenomenon in China. On the other hand, we find that the degree of natural resource abundance in a city has a positive diffusion effect on the economic growth of neighboring cities within the same province at the city level, but not at prefectural levels. We attribute this to the urban bias policy.
Keywords: Resource curse; Diffusion effects; Transmission channels; Functional coefficient model (search for similar items in EconPapers)
JEL-codes: O13 O18 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (22) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
Working Paper: Resource Abundance and Economic Growth in China (2013)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:chieco:v:23:y:2012:i:3:p:704-719
Access Statistics for this article
China Economic Review is currently edited by B.M. Fleisher, K. X. D. Huang, M.E. Lovely, Y. Wen, X. Zhang and X. Zhu
More articles in China Economic Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().