Province-level Convergence of China CO2 Emission Intensity

Xueting Zhao (), James Burnett and Donald J. Lacombe

No 169403, 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota from Agricultural and Applied Economics Association

Abstract: This study offers a unique contribution to the literature by investigating the convergence of province-level carbon dioxide emission intensity among a panel of 30 provinces in China over the period 1990-2010. We use a novel, spatial dynamic panel data model to evaluate an empirically testable hypothesis of convergence among provinces. Our results suggest that: (1) CO2 emission intensities are converging across provinces in China; (2) the rate of convergence is higher with the dynamic panel data model than the cross-sectional regression models; and, (3) province-level CO2 emission intensities are spatially correlated and the rate of convergence, when controlling for spatial autocorrelation, is higher than with the non-spatial models.

Keywords: Environmental Economics and Policy; Resource/Energy Economics and Policy (search for similar items in EconPapers)
Pages: 27
Date: 2014
New Economics Papers: this item is included in nep-cna, nep-ene, nep-env and nep-tra
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://ageconsearch.umn.edu/record/169403/files/Zhao_AAEA_2014.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea14:169403

DOI: 10.22004/ag.econ.169403

Access Statistics for this paper

More papers in 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().