The influence of democracy on emissions and energy efficiency in America: New evidence from quantile regression analysis

被引:51
作者
Chou, Li-Chen [1 ]
Zhang, Wan-Hao [2 ]
Wang, Meng-Ying [3 ]
Yang, Fu-Ming [4 ]
机构
[1] Wenzhou Business Coll, Dept Econ, Wenzhou, Peoples R China
[2] Kings Coll London, Sch Polit & Econ, London, England
[3] Wenzhou Univ, Sch Business, Wenzhou, Peoples R China
[4] Wenzhou Business Coll, Dept Finance, Wenzhou, Peoples R China
关键词
Carbon dioxide emission; energy efficiency; America; democracy; quantile regression; POLITICAL-INSTITUTIONS; INEQUALITY; INCOME; ENVIRONMENT; POLLUTION; ELECTRICITY; PROVISION; GROWTH;
D O I
10.1177/0958305X19882382
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study explores whether the development of democracy can significantly affect CO2 emissions and the energy efficiencies in the countries. Database reference from Freedom House, Polity IV project and World Development Indicator was applied to analyze the relationship between the democracy development, CO2 emissions and the energy efficiency of 26 countries in America from the year 1990 to 2013. Empirical result shows that the deepening democracy has a significant impact on the reduction of national CO2 emissions and brings a positive influence on energy efficiency. The further application of quantile regression also indicates that the influence of democratization on CO2 emissions and countries' energy efficient scores is significant. The empirical results may reflect the reduction of emission or the improvement of energy efficient outcome from the enhancement of democratic institution.
引用
收藏
页码:1318 / 1334
页数:17
相关论文
共 50 条
[21]   Energy Expenditure in Egypt: Empirical Evidence Based on a Quantile Regression Approach [J].
Fateh Belaid ;
Christophe Rault .
Environmental Modeling & Assessment, 2021, 26 :511-528
[22]   A quantile regression analysis of the rebound effect: Evidence from the 2009 National Household Transportation Survey in the United States [J].
Su, Qing .
ENERGY POLICY, 2012, 45 :368-377
[23]   The impact of national IQ on longevity: New evidence from quantile regression [J].
Lv, Zhike ;
Xu, Ting .
PERSONALITY AND INDIVIDUAL DIFFERENCES, 2016, 101 :282-287
[24]   The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression [J].
Zhu, Huiming ;
Duan, Lijun ;
Guo, Yawei ;
Yu, Keming .
ECONOMIC MODELLING, 2016, 58 :237-248
[25]   Energy Poverty and Depression in Rural China: Evidence from the Quantile Regression Approach [J].
Zhang, Jun ;
He, Yuang ;
Zhang, Jing .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (02)
[26]   Macroeconomic uncertainty, speculation, and energy futures returns: Evidence from a quantile regression [J].
Xiao, Jihong ;
Wang, Yudong .
ENERGY, 2022, 241
[27]   Democracy, green energy, trade, and environmental progress in South Asia: Advanced quantile regression perspective [J].
Sultana, Tasnim ;
Hossain, Md Shaddam ;
Voumik, Liton Chandra ;
Raihan, Asif .
HELIYON, 2023, 9 (10)
[28]   Financing hierarchy: Evidence from quantile regression [J].
Chay, J. B. ;
Park, Soon Hong ;
Kim, Soojung ;
Suh, Jungwon .
JOURNAL OF CORPORATE FINANCE, 2015, 33 :147-163
[29]   Country risks, government subsidies, and Chinese renewable energy firm performance: New evidence from a quantile regression [J].
Zhang, Wenwen ;
Chiu, Yi-Bin .
ENERGY ECONOMICS, 2023, 119
[30]   Heterogeneous effects of energy efficiency and renewable energy on carbon emissions: Evidence from developing countries [J].
Akram, Rabia ;
Chen, Fuzhong ;
Khalid, Fahad ;
Ye, Zhiwei ;
Majeed, Muhammad Tariq .
JOURNAL OF CLEANER PRODUCTION, 2020, 247 (247)