The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Air Pollution and Manufacturing Firm Productivity: Nationwide Estimates for China
Abstract
We provide nationwide causal estimates of air pollution's effect on short-run productivity for China's manufacturing sector from 1998 to 2007. Using thermal inversions as an instrument, a 1 µg/m3 decrease in PM2.5 increases productivity by 0.82% (elasticity of −0.44). Increased hiring attenuates the elasticity to −0.17. Differential effects of a trade shock on coastal versus inner regions imply a pollution elasticity of output of 1.43. Simulating a dynamic general-equilibrium model yields an output elasticity of −0.28 with respect to PM2.5. An exogenous 1% decrease in PM2.5 nationwide increases gross domestic product by 0.039%.
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Cites
中華人民共和国国家統計局 (1988) · Medical Entomology and Zoology · Cited by 12,443
Testing for Weak Instruments in Linear IV Regression
Stock, J. H., & Yogo, M. (2005) · Identification and Inference for Econometric Models · doi:10.1017/cbo9780511614491.006 · Cited by 7,211
The Dynamics of Productivity in the Telecommunications Equipment Industry
Olley, G. S., & Pakes, A. (1996) · Econometrica · doi:10.2307/2171831 · Cited by 7,112
Estimating Production Functions Using Inputs to Control for Unobservables
Levinsohn, J., & Petrin, A. (2003) · Review of Economic Studies · doi:10.1111/1467-937x.00246 · Cited by 6,496
A Practitioner’s Guide to Cluster-Robust Inference
Colin Cameron, A., & Miller, D. L. (2015) · Journal of Human Resources · doi:10.3368/jhr.50.2.317 · Cited by 5,037
The Next Generation of the Penn World Table
Feenstra, R. C., Inklaar, R., & Timmer, M. P. (2015) · American Economic Review · doi:10.1257/aer.20130954 · Cited by 4,799
Political turnover and economic performance: the incentive role of personnel control in China
Li, H., & Zhou, L.-A. (2005) · Journal of Public Economics · doi:10.1016/j.jpubeco.2004.06.009 · Cited by 3,668
Robust Inference With Multiway Clustering
Cameron, A. C., Gelbach, J. B., & Miller, D. L. (2011) · Journal of Business & Economic Statistics · doi:10.1198/jbes.2010.07136 · Cited by 3,203
Syverson, C. (2011) · Journal of Economic Literature · doi:10.1257/jel.49.2.326 · Cited by 2,942
raster: Geographic Data Analysis and Modeling
Hijmans, R. J. (2010) · CRAN: Contributed Packages · doi:10.32614/cran.package.raster · Cited by 2,907
Metadata
- Authors
- Fu, S., Viard, V. B., & Zhang, P.
- Venue
- The Economic Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-04-27
- Volume
- 131
- Issue
- 640
- Pages
- 3241-3273
- ISSN
- 0013-0133 (ISSN-L)
- 1468-0297
- OpenAlex
- W3159116975
- Cited by
- 373
- References
- 88
- FWCI
- 20.89
- Type
- journal article
- Language
- en
- Open access
- closed
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