The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
How do energy consumption and environmental regulation affect carbon emissions in China? New evidence from a dynamic threshold panel model
Open accessAbstract
Abstract Energy and environmental issues have already become two serious threats to China's sustainable development. In this study, the relationship between energy consumption, environmental regulation and carbon emissions is quantitatively examined after taking full control of spatial effects and potential endogeneity. To comprehensively analyze the effects of environmental regulation, it is also divided into performance-based environmental regulation and cost-based environmental regulation. To control endogenous problems caused by causal relationships between variables and allow possible nonlinear relationships between energy consumption and carbon emissions, a newly developed dynamic threshold panel model that incorporates the characteristics of generalized method of moments (GMM) is utilized to explore how energy consumption affects carbon emissions under different environmental regulations. The estimation results indicate that the rising energy consumption has an important role in promoting carbon emissions, but the promotion effect has declined as the level of environmental regulation increased. Furthermore, given that there is remarkable gap in economic and social development across different Chinese regions, the relationship is reexamined for three geographical regions (i.e., east, center and west). The results indicate that energy consumption significantly promoted carbon emissions in the three regions, and the promotion effect in the western region was highest. In addition, there is evidence that environmental regulation has effectively constrained the increase in carbon emissions in eastern and central China, while it did not function as expected to curb carbon emissions in the western region.
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Cites
Initial conditions and moment restrictions in dynamic panel data models
Blundell, R., & Bond, S. (1998) · Journal of Econometrics · doi:10.1016/s0304-4076(98)00009-8 · Cited by 22,571
Another look at the instrumental variable estimation of error-components models
Arellano, M., & Bover, O. (1995) · Journal of Econometrics · doi:10.1016/0304-4076(94)01642-d · Cited by 19,880
Toward a New Conception of the Environment-Competitiveness Relationship
Porter, M. E., & Linde, C. V. D. (1995) · Journal of Economic Perspectives · doi:10.1257/jep.9.4.97 · Cited by 13,365
Economic growth and the environment
Grossman, G. M., & Krueger, A. B. (1995) · The Quarterly Journal of Economics · doi:10.2307/2118443 · Cited by 9,901
Cited by
Hao, X., Li, Y., Ren, S., Wu, H., & Hao, Y. (2023) · Journal of Environmental Management · doi:10.1016/j.jenvman.2022.116504 · Cited by 734
Self-citationPeng, H., Shen, N., Ying, H., & Wang, Q. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.128044 · Cited by 412
Liu, 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
- Wu, H., Xu, L., Ren, S., Hao, Y., & Yan, G.
- Venue
- Resources Policy
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 67
- Pages
- 101678
- ISSN
- 0301-4207 (ISSN-L)
- OpenAlex
- W3016366151
- Cited by
- 351
- References
- 4
- FWCI
- 48.08
- Type
- journal article
- Language
- en
- Open access
- green
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- Wu, H., Xu, L., Ren, S., Hao, Y., & Yan, G. (2020). How do energy consumption and environmental regulation affect carbon emissions in China? New evidence from a dynamic threshold panel model. Resources Policy. https://doi.org/10.1016/j.resourpol.2020.101678
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