Effects of energy consumption and ecological footprint on CO2 emissions: an empirical evidence from Pakistan

被引:80
作者
Abbas, Sohail [1 ]
Kousar, Shazia [2 ]
Pervaiz, Amber [3 ]
机构
[1] Konkuk Univ, Dept Geog, Seoul, South Korea
[2] Univ Jhang, Dept Econ, Jhang 35200, Punjab, Pakistan
[3] Super Coll, Dept Management Sci, Lahore, Pakistan
关键词
Traditional energy; Renewable energy; Urbanization; Transportation; Fully modified ordinary least square; Dynamic ordinary least square; ECONOMIC-GROWTH; CARBON EMISSIONS; TIME-SERIES; UNIT-ROOT; ENVIRONMENTAL DEGRADATION; AGRICULTURAL PRODUCTION; CLIMATE-CHANGE; COINTEGRATION; LINKAGES; DIOXIDE;
D O I
10.1007/s10668-020-01216-9
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 aims twofold; first, to analyze the effects of traditional energy, renewable energy, ecological footprint, urbanization, transportation on carbon dioxide emission (CO2), and second to investigate the association between the emission of the CO2 and temperature over Pakistan. The present investigation utilized long-term series data from 1970 to 2018 and employed the autoregressive distributed lag model to examine the relationship between modeled variables. Moreover, this investigation employed fully modified ordinary least-squares and dynamic ordinary least-square model to confirm the robustness of the results. The study found an insignificant impact of traditional energy, renewable energy, and ecological footprint on CO2 in the short-run period. However, in the long run, traditional energy, the ecological footprint has significant and positive, while renewable energy has a negative and significant association with CO2. Moreover, the study found a significant impact of urbanization and transportation on CO2 emission into short and long-run periods. The results indicate that impact of CO2 emission, urbanization and transportation on average temperature in Pakistan is positive and significant in short-run as well as in long-run period. This research indicates that appropriate policies should be devised for the energy sector like Government should discourage traditional consumption of energy and encourage the consumption of renewable energy in the industrial sector.
引用
收藏
页码:13364 / 13381
页数:18
相关论文
共 62 条
[1]  
Abbas S., 2016, Sci Int (Lahore), V28, P4657
[2]   Impact assessment of socioeconomic factors on dimensions of environmental degradation in Pakistan [J].
Abbas, Sohail ;
Kousar, Shazia ;
Yaseen, Muhammad ;
Mayo, Zulfiqar Ali ;
Zainab, Memoona ;
Mahmood, Muhammad Junaid ;
Raza, Hassan .
SN APPLIED SCIENCES, 2020, 2 (03)
[3]   SWOT analysis for socio-ecological landscape variation as a precursor to the management of the mountainous Kanshi watershed, Salt Range of Pakistan [J].
Abbas, Sohail ;
Shirazi, Safdar Ali ;
Qureshi, Salman .
INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY, 2018, 25 (04) :351-361
[4]   Renewable and non-renewable energy-growth-emissions linkages: Review of emerging trends with policy implications [J].
Adewuyi, Adeolu O. ;
Awodumi, Olabanji B. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 69 :275-291
[5]   Carbon emissions, energy consumption and economic growth: An aggregate and disaggregate analysis of the Indian economy [J].
Ahmad, Ashfaq ;
Zhao, Yuhuan ;
Shahbaz, Muhammad ;
Bano, Sadia ;
Zhang, Zhonghua ;
Wang, Song ;
Liu, Ya .
ENERGY POLICY, 2016, 96 :131-143
[6]  
AHMED F, 2020, SUSTAINABILITY-BASEL, V12, DOI DOI 10.3390/su12187812
[7]   The linkages between deforestation, energy and growth for environmental degradation in Pakistan [J].
Ahmed, Khalid ;
Shahbaz, Muhammad ;
Qasim, Ahmer ;
Long, Wei .
ECOLOGICAL INDICATORS, 2015, 49 :95-103
[8]   FITTING AUTOREGRESSIVE MODELS FOR PREDICTION [J].
AKAIKE, H .
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 1969, 21 (02) :243-&
[9]  
AKAIKE H, 1979, BIOMETRIKA, V66, P237, DOI 10.1093/biomet/66.2.237
[10]   The Relationship between Carbon Dioxide Emissions, Economic Growth and Agricultural Production in Pakistan: An Autoregressive Distributed Lag Analysis [J].
Ali, Sajjad ;
Li Gucheng ;
Ying, Liu ;
Ishaq, Muhammad ;
Shah, Tariq .
ENERGIES, 2019, 12 (24)