A spatial panel data approach to estimating US state-level energy emissions
A spatial panel data approach to estimating US state-level energy emissions
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DOI：
10.1016/j.eneco.2013.07.021
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发表时间：
2013-11-01
期刊：
影响因子：
12.8
通讯作者：
Dorfman, Jeffrey H.
中科院分区：
文献类型：
--
作者：
Burnett, J. Wesley;Bergstrom, John C.;Dorfman, Jeffrey H.
我们利用一个长的面板数据集来估计美国州一级二氧化碳（CO2）排放量，经济活动和其他因素之间的关系。我们指定了一个简化形式的能源需求模型来解释驱动能源相关排放的能源消费活动。我们通过探索几个空间面板数据模型来解释状态之间的空间依赖性，估计结果和严格的诊断分析表明：（1）经济距离在州内和州间CO2排放中起作用;（2）对州一级排放存在统计上显著的正经济溢出和负价格溢出。(C)2013爱思唯尔有限公司版权所有。
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. (C) 2013 Elsevier B.V. All rights reserved.