A structural estimation of the return to infrastructure investment in China
The productivity effect of infrastructure investment is controversial in the traditional literature using aggregate production function estimation due to reverse causality. This paper develops a new approach, using a structural model of firm-level production function, and matching Chinese firm-level...
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sg-ntu-dr.10356-1570012023-03-05T15:31:01Z A structural estimation of the return to infrastructure investment in China Wu, Laura Guiying Feng, Qu Wang, Zhifeng School of Social Sciences Social sciences::Economic development Infrastructure Investment Productivity Effect The productivity effect of infrastructure investment is controversial in the traditional literature using aggregate production function estimation due to reverse causality. This paper develops a new approach, using a structural model of firm-level production function, and matching Chinese firm-level production data with province-level infrastructure data. The estimated rates of return are about 6 percent averaged from 1999 to 2007. The returns triple if national-level spillover effects are taken into account. Controlling for the demand effect of public expenditure leads to smaller but still positive returns. The effect of infrastructure investment on firm-level productivity is heterogenous. With an increase in infrastructure investment, lower productivity firms are more likely to exit and higher productivity firms gain more market share. Ministry of Education (MOE) Submitted/Accepted version Financial support from the MOE AcRF Tier 1 Grant M4011642 at Nanyang Technological University is gratefully acknowledged. 2022-04-29T04:06:22Z 2022-04-29T04:06:22Z 2021 Journal Article Wu, L. G., Feng, Q. & Wang, Z. (2021). A structural estimation of the return to infrastructure investment in China. Journal of Development Economics, 152, 102672-. https://dx.doi.org/10.1016/j.jdeveco.2021.102672 0304-3878 https://hdl.handle.net/10356/157001 10.1016/j.jdeveco.2021.102672 2-s2.0-85107658986 152 102672 en M4011642 Journal of Development Economics © 2021 Elsevier B.V. All rights reserved. This paper was published in Journal of Development Economics and is made available with permission of Elsevier B.V. application/pdf |
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Social sciences::Economic development Infrastructure Investment Productivity Effect Wu, Laura Guiying Feng, Qu Wang, Zhifeng A structural estimation of the return to infrastructure investment in China |
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The productivity effect of infrastructure investment is controversial in the traditional literature using aggregate production function estimation due to reverse causality. This paper develops a new approach, using a structural model of firm-level production function, and matching Chinese firm-level production data with province-level infrastructure data. The estimated rates of return are about 6 percent averaged from 1999 to 2007. The returns triple if national-level spillover effects are taken into account. Controlling for the demand effect of public expenditure leads to smaller but still positive returns. The effect of infrastructure investment on firm-level productivity is heterogenous. With an increase in infrastructure investment, lower productivity firms are more likely to exit and higher productivity firms gain more market share. |
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School of Social Sciences |
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School of Social Sciences Wu, Laura Guiying Feng, Qu Wang, Zhifeng |
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Article |
author |
Wu, Laura Guiying Feng, Qu Wang, Zhifeng |
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Wu, Laura Guiying |
title |
A structural estimation of the return to infrastructure investment in China |
title_short |
A structural estimation of the return to infrastructure investment in China |
title_full |
A structural estimation of the return to infrastructure investment in China |
title_fullStr |
A structural estimation of the return to infrastructure investment in China |
title_full_unstemmed |
A structural estimation of the return to infrastructure investment in China |
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structural estimation of the return to infrastructure investment in china |
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2022 |
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https://hdl.handle.net/10356/157001 |
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