Abstract
We construct an endogenous growth model with random interactions where firms are subject to distortions. The TFP distribution evolves endogenously as firms seek to upgrade their technology over time either by innovating or by imitating other firms. We use the model to quantify the effects of misallocation on TFP growth in emerging economies. 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 perform counterfactuals to study the effect of alternative policies. R&D misallocation has a large effect on TFP growth.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1615-1654 |
| Number of pages | 40 |
| Journal | Econometrica |
| Volume | 90 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jul 2022 |
Bibliographical note
Publisher Copyright:© 2022 The Econometric Society.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
Keywords
- China
- R&D
- TFP growth
- Taiwan
- imitation
- innovation
- misallocation
- productivity
- subsidies
- traveling wave
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