Productivity of core infrastructure investment in China: an input–output approach

This paper examines the productivity effect of two categories of core infrastructure investment in China, by matching a panel of manufacturing firm-level production data with province-level infrastructure investment data. Cross-industry variation in infrastructure reliance using input–output table i...

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Main Authors: Wang, Zhifeng, Wu, Laura Guiying, Feng, Qu
Other Authors: School of Social Sciences
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/159521
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1595212022-06-27T05:12:54Z Productivity of core infrastructure investment in China: an input–output approach Wang, Zhifeng Wu, Laura Guiying Feng, Qu School of Social Sciences Social sciences::Economic development Infrastructure Productivity This paper examines the productivity effect of two categories of core infrastructure investment in China, by matching a panel of manufacturing firm-level production data with province-level infrastructure investment data. Cross-industry variation in infrastructure reliance using input–output table information is employed to address potential endogeneity issues. We find that firms in an industry that relies more heavily on infrastructure in production experience higher productivity growth from more infrastructure investment. On average, the annual rate of return to core infrastructure investment in China is about 23% during 1998–2007. Ministry of Education (MOE) Financial support from the MOE AcRF Tier 1 Grant M4011642 at Nanyang Technological University is gratefully acknowledged. 2022-06-27T05:12:54Z 2022-06-27T05:12:54Z 2020 Journal Article Wang, Z., Wu, L. G. & Feng, Q. (2020). Productivity of core infrastructure investment in China: an input–output approach. The World Economy, 43(12), 3384-3406. https://dx.doi.org/10.1111/twec.13014 0378-5920 https://hdl.handle.net/10356/159521 10.1111/twec.13014 2-s2.0-85089856565 12 43 3384 3406 en M4011642 The World Economy © 2020 John Wiley & Sons Ltd. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Social sciences::Economic development
Infrastructure
Productivity
spellingShingle Social sciences::Economic development
Infrastructure
Productivity
Wang, Zhifeng
Wu, Laura Guiying
Feng, Qu
Productivity of core infrastructure investment in China: an input–output approach
description This paper examines the productivity effect of two categories of core infrastructure investment in China, by matching a panel of manufacturing firm-level production data with province-level infrastructure investment data. Cross-industry variation in infrastructure reliance using input–output table information is employed to address potential endogeneity issues. We find that firms in an industry that relies more heavily on infrastructure in production experience higher productivity growth from more infrastructure investment. On average, the annual rate of return to core infrastructure investment in China is about 23% during 1998–2007.
author2 School of Social Sciences
author_facet School of Social Sciences
Wang, Zhifeng
Wu, Laura Guiying
Feng, Qu
format Article
author Wang, Zhifeng
Wu, Laura Guiying
Feng, Qu
author_sort Wang, Zhifeng
title Productivity of core infrastructure investment in China: an input–output approach
title_short Productivity of core infrastructure investment in China: an input–output approach
title_full Productivity of core infrastructure investment in China: an input–output approach
title_fullStr Productivity of core infrastructure investment in China: an input–output approach
title_full_unstemmed Productivity of core infrastructure investment in China: an input–output approach
title_sort productivity of core infrastructure investment in china: an input–output approach
publishDate 2022
url https://hdl.handle.net/10356/159521
_version_ 1736856399661498368