Industrial Policy and Competition
Philippe Aghion,
Mathias Dewatripont,
Luosha Du,
Ann Harrison and
Patrick Legros
No 18048, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
Using a comprehensive dataset of all medium and large enterprises in China between 1998 and 2007, we show that industrial policies allocated to competitive sectors or that foster competition in a sector increase productivity growth. We measure competition using the Lerner Index and include as industrial policies subsidies, tax holidays, loans, and tariffs. Measures to foster competition include policies that are more dispersed across firms in a sector or measures that encourage younger and more productive enterprises.
JEL-codes: D2 L5 L6 O2 O3 (search for similar items in EconPapers)
Date: 2012-05
New Economics Papers: this item is included in nep-com and nep-sbm
Note: EFG IO
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (66)
Published as Philippe Aghion & Jing Cai & Mathias Dewatripont & Luosha Du & Ann Harrison & Patrick Legros, 2015. "Industrial Policy and Competition," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(4), pages 1-32, October.
Downloads: (external link)
http://www.nber.org/papers/w18048.pdf (application/pdf)
Related works:
Chapter: Industrial Policy and Competition (2022) 
Journal Article: Industrial Policy and Competition (2015) 
Working Paper: Industrial policy and competition (2015)
Working Paper: Industrial Policy and Competition (2011) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:18048
Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w18048
Access Statistics for this paper
More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().