From Imitation to Innovation: Where Is all that Chinese R&D Going? / Michael König, Zheng Michael Song, Kjetil Storesletten, Fabrizio Zilibotti.

By:

König, Michael

Contributor(s):

Material type: Text

TextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w27404.Publication details: Cambridge, Mass. National Bureau of Economic Research 2020.Description: 1 online resource: illustrations (black and white)Subject(s):

Online resources:

Available additional physical forms:

Hardcopy version available to institutional subscribers

Abstract: We construct a model of firm dynamics with heterogeneous productivity and distortions. The productivity distribution evolves endogenously as the result of the decisions of firms seeking to upgrade their productivity over time. Firms can adopt two strategies toward that end: imitation and innovation. The theory bears predictions about the evolution of the productivity distribution. We structurally estimate the stationary state of the dynamic model targeting moments of the empirical distribution of R&D and TFP growth in China during the period 2007--2012. The estimated model fits the Chinese data well. We compare the estimates with those obtained using data for Taiwan and find the results to be robust. We perform counterfactuals to study the effect of alternative policies. We find large effects of R&D misallocation on long-run growth.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Working Paper	Biblioteca Digital	Colección NBER	nber w27404 (Browse shelf(Opens below))	Not For Loan

Total holds: 0

June 2020.

We construct a model of firm dynamics with heterogeneous productivity and distortions. The productivity distribution evolves endogenously as the result of the decisions of firms seeking to upgrade their productivity over time. Firms can adopt two strategies toward that end: imitation and innovation. The theory bears predictions about the evolution of the productivity distribution. We structurally estimate the stationary state of the dynamic model targeting moments of the empirical distribution of R&D and TFP growth in China during the period 2007--2012. The estimated model fits the Chinese data well. We compare the estimates with those obtained using data for Taiwan and find the results to be robust. We perform counterfactuals to study the effect of alternative policies. We find large effects of R&D misallocation on long-run growth.