Factor Market Distortions Across Time, Space and Sectors in China

By L. Brandt, Trevor Tombe, Xiao-Dan Zhu. 2011

552 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Political Science and International Relations

View Paper: https://www.semanticscholar.org/paper/0be1f85f916340610c56239491dfa322b30122f5

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Citations in the corpus

The Causes and Costs of Misallocation (2017, unknown): “More recently, Brandt, Tombe, and Zhu (2013) study the importance of misallocation within the nonagricultural sector across state and nonstate enterprises and across provinces over time in China.”
Understanding China's Growth: Past, Present, and Future (2012, background): “In Brandt, Tombe, and Zhu (2012), my coauthors and I take sector-level total factor productivity in each province as given and measure the potential productivity gain from eliminating factor market distortions across provinces and between the state and the nonstate sectors in China.”
Trade, Migration, and Productivity: A Quantitative Analysis of China (2019, background): “Brandt et al. (2013) show that average capital intensity does not vary much across the Chinese provinces, so spatial misallocation of capital is not a quantitatively important issue and we abstract it from our analysis in this paper.”
A Model of China's State Capitalism (2015, unknown): “By denition of and (6), using the chains rule, we have @ L @Am = @ L @ @ @Am < 0; @ L @b pm < 0; @ L @K < 0:”
Government-subsidized R&D and Firm Innovation: Evidence from China (2016, unknown): “The inefficiencies that result from the involvement of the Chinese government in business are well documented (Brandt et al., 2013; Guo et al., 2014).”
Capital misallocation in China: Financial frictions or policy distortions? (2018, methodology): “Brandt et al. (2013) obtain a similar magnitude of loss using sector-province-level data across China.”
Local Protectionism, Market Structure, and Social Welfare: China’s Automobile Market (2017, unknown): “Studies have shown that these policies and practices could have substantial effects on productivity and aggregate output (Baily et al., 1992; Restuccia and Rogerson, 2008; Brandt et al., 2009).”