Notching R&D Investment with Corporate Income Tax Cuts in China

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2021-07-01

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Abstract

We analyze the effects of a large fiscal incentive for R&D investment in China that awards a lower average corporate income tax rate to qualifying firms. The sharp incentives of the program generate notches, or jumps, in firm values, and vary over time and across firm characteristics. We exploit a novel link between survey and administrative tax data of Chinese firms to estimate investment responses, the potential for evasion, as well as effects on productivity and tax payments. We find large responses of reported R&D using a cross-sectional “bunching” estimators that is new in the R&D literature. We also find evidence that firms relabel administrative expenses as R&D to qualify for the program. We estimate an intent-to-treat effect of the policy on R&D investment of 18.8%, and find that 45% of this response is due to evasion. These effects imply user-cost-elasticities of 2 for the reported response, and 1.14 for the real response. We utilize the panel structure of the data to estimate the effect of the program on firm productivity, and find an increase of 1.6% for targeted firms. These estimates are crucial ingredients for designing policies that trade-off corporate tax revenue with future productivity growth.

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10.1257/aer.20191758

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Suarez Serrato, JC, Z Chen, Z Liu and DY Xu (2021). Notching R&D Investment with Corporate Income Tax Cuts in China. American Economic Review, 111(7). pp. 2065–2100. 10.1257/aer.20191758 Retrieved from https://hdl.handle.net/10161/25064.

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Xu

Daniel Yi Xu

David Rubenstein Distinguished Professor of Economics

Daniel Yi Xu is the David Rubenstein Distinguished Professor of Economics at Duke University, a Faculty Research Associate at the National Bureau of Economic Research, a Research Fellow at the Center for Economic Policy Research, and a Senior Fellow at the Asian Bureau of Finance and Economic Research.
His research focuses on the intersection of productivity, international trade, and industrial organization. Professor Xu’s current research agenda involves the use of large-scale microdata to model and estimate a broad range of dynamic individual firm decisions and to examine how these decisions impact resource allocation, industry performance, and economic growth, particularly in developing and emerging economies.
His most recent work has been published in leading economics journals, including the American Economic Review, Journal of Political Economy, Review of Economic Studies, RAND Journal of Economics, Review of Economic Dynamics, and Management Science. Professor Xu is currently a co-editor of the American Economic Journal: Microeconomics and an associate editor of the RAND Journal of Economics. He previously served as co-editor for the Review of Economics and Statistics and the Journal of Development Economics. Additionally, he has been an associate editor for the American Economic Journal: Applied, Economic Journal, Journal of Industrial Economics, Journal of International Economics, Quantitative Economics, and the Review of Economics and Statistics.


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