| dc.contributor.author |
Burnett, JW |
en |
| dc.contributor.author |
Bergstrom, JC |
en |
| dc.contributor.author |
Dorfman, JH |
en |
| dc.date.accessioned |
2014-06-06T06:52:15Z |
|
| dc.date.available |
2014-06-06T06:52:15Z |
|
| dc.date.issued |
2013 |
en |
| dc.identifier.issn |
01409883 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1016/j.eneco.2013.07.021 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/5930 |
|
| dc.subject |
Carbon dioxide |
en |
| dc.subject |
Energy economics |
en |
| dc.subject |
Spatial econometrics |
en |
| dc.subject.other |
Diagnostic analysis |
en |
| dc.subject.other |
Economic activities |
en |
| dc.subject.other |
Energy demand models |
en |
| dc.subject.other |
Energy economics |
en |
| dc.subject.other |
Energy-related emissions |
en |
| dc.subject.other |
Spatial dependence |
en |
| dc.subject.other |
Spatial econometrics |
en |
| dc.subject.other |
Spatial panel data models |
en |
| dc.subject.other |
Economics |
en |
| dc.subject.other |
Energy utilization |
en |
| dc.subject.other |
Estimation |
en |
| dc.subject.other |
Carbon dioxide |
en |
| dc.subject.other |
carbon dioxide |
en |
| dc.subject.other |
carbon emission |
en |
| dc.subject.other |
econometrics |
en |
| dc.subject.other |
economic activity |
en |
| dc.subject.other |
energy use |
en |
| dc.subject.other |
environmental economics |
en |
| dc.subject.other |
panel data |
en |
| dc.subject.other |
spatial data |
en |
| dc.subject.other |
spillover effect |
en |
| dc.subject.other |
United States |
en |
| dc.title |
A spatial panel data approach to estimating U.S. state-level energy emissions |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1016/j.eneco.2013.07.021 |
en |
| heal.publicationDate |
2013 |
en |
| heal.abstract |
We take advantage of a long panel data set to estimate the relationship between U.S. state-level carbon dioxide (CO2) emissions, economic activity, and other factors. We specify a reduced-form energy demand model to account for energy consumption activities that drive energy-related emissions. We contribute to the literature by exploring several spatial panel data models to account for spatial dependence between states. Estimation results and rigorous diagnostic analysis suggest that: (1) economic distance plays a role in intra- and inter-state CO2 emissions; and (2) there are statistically significant, positive economic spillovers and negative price spillovers to state-level emissions. © 2013 Elsevier B.V. |
en |
| heal.journalName |
Energy Economics |
en |
| dc.identifier.volume |
40 |
en |
| dc.identifier.doi |
10.1016/j.eneco.2013.07.021 |
en |
| dc.identifier.spage |
396 |
en |
| dc.identifier.epage |
404 |
en |