Urbanization, economic growth, energy consumption, and CO2 emissions: Empirical evidence from countries with different income levels
Urbanization, economic growth, energy consumption, and CO2 emissions: Empirical evidence from countries with different income levels
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城市化、经济增长、能源消耗和二氧化碳排放：来自不同收入水平国家的经验证据
DOI：
10.1016/j.rser.2017.06.025
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发表时间：
2018
影响因子：
15.9
通讯作者：
Fang Chuanglin
中科院分区：
文献类型：
--
作者：
Wang Shaojian;Li Guangdong;Fang Chuanglin
人为二氧化碳排放量的增长被广泛归因于能源的燃烧，以支持与经济发展相关的人类活动。尽管城市化、经济增长、能源消耗和二氧化碳排放之间的联系因此受到了相当多学科的关注，但关于所研究国家发展阶段或收入水平的差异可能如何影响这些关系的工作很少。在这里，我们实证地探索城市化、经济发展、能源消耗和二氧化碳排放之间的联系，特别是考虑到所研究国家的不同收入水平。这项研究使用了一系列面板数据模型和170个国家的均衡数据集，其中考虑了1980-2011年期间。面板协整检验的结果表明，在所有被研究的国家中，变量之间存在协整关系，长期使用的变量之间存在统计上显著的正相关关系。基于向量误差修正模型(VECM)的格兰杰因果关系检验的结果提供了基于收入的小组变量之间各种格兰杰因果关系的证据。此外，我们还进行了脉冲响应和方差分解分析，使我们能够预测经济增长、城市化和能源消费对调查期间未来二氧化碳排放的影响。我们的结果揭示了一个国家的发展阶段和收入水平对政府减少二氧化碳排放的政策决策的重要性。
The growth of anthropogenic CO2emissions has been widely attributed to the combustion of energy in support of human activities associated with economic development. While the link between urbanization, economic growth, energy consumption, and CO2emissions has, as a result, received considerable multidisciplinary scholarly attention, little work has been undertaken with respect to the how differences in the development stages or income levels of the countries studied may affect these relations. Here, we empirically explore the link between urbanization, economic development, energy consumption, and CO2emissions, specifically taking into account the different income levels of the countries studied. A series of panel data models and a balanced dataset for a panel of 170 countries were utilized in the study, which took the period of 1980–2011 into consideration. The result of panel cointegration tests suggested that a cointegration relationship existed between variables in all the countries studied, and that a statistically significant positive relationship existed between the variables employed in the long run. The results of a Granger causality test based on the Vector Error-Correction Model (VECM) provided evidence of varied Granger causality relationships between the variables across the income-based subpanels. Moreover, we also undertook an impulse response and variance decomposition analysis that allowed us to forecast the impacts of economic growth, urbanization, and energy consumption on future CO2emissions during the period surveyed. Our results cast a new light on the importance of a country's development stage and income level for government policy decisions relating to the reduction of CO2emissions.
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影响因子：
9
作者：
E. Kuntsi-Reunanen
通讯作者：
E. Kuntsi-Reunanen
影响因子：
3.3
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Cole, MA;Neumayer, E
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通讯作者：
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