The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Impact of fiscal decentralization on green total factor productivity
Abstract
Abstract Based on panel data from 2000 to 2015, this study estimates the green total factor productivity (GTFP) of each of the 11 provinces in the Yangtze River economic belt using z slacks-based measure in data envelopment analysis model. The influences of fiscal decentralization and environmental regulation on GTFP are analyzed by calculating the environmental regulation intensity and degree of fiscal decentralization and by constructing a panel quantile regression model. The results indicate that fiscal decentralization can stimulate GTFP growth, but this effect declines when the quantile value increases. Appropriate fiscal decentralization can improve GTFP, while excessively strong fiscal decentralization becomes an obstacle to GTFP. This study also established a certain range within which local governments' fiscal freedom can be increased to stimulate GTFP growth. Finally, this study estimates the GTFP under the dual constraints of pollution emissions and economic growth and links the improvement of GTFP with environmental regulation and China's unique economic decentralization system, thereby providing practical support for the governance of environmental pollution in China.
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Cites
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Cited by
Share green growth: regional evaluation of green output performance in China
Song, M., Zhu, S., Wang, J., & Zhao, J. (2020) · International Journal of Production Economics · doi:10.1016/j.ijpe.2019.05.012 · Cited by 156
Self-citationLiu, Y., Liu, M., Wang, G., Zhao, L., & An, P. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-13780-2 · Cited by 120
Metadata
- Authors
- Song, M., Du, J., & Tan, K. H.
- Venue
- International Journal of Production Economics
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 205
- Pages
- 359-367
- ISSN
- 0925-5273 (ISSN-L)
- OpenAlex
- W2889570543
- Cited by
- 328
- References
- 16
- FWCI
- 18.59
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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