Modelling the nexus of carbon dioxide emissions, economic growth, electricity production and consumption: Assessing the evidence from Pakistan

被引:3
作者
Ali, Sajjad [1 ]
Ghimire, Amogh [1 ]
Khan, Adnan [2 ]
Tariq, Gulzara [3 ]
Shah, Ashfaq Ahmad [4 ]
Tariq, Muhammad Atiq Ur Rehman [5 ,6 ,7 ]
机构
[1] Jiangsu Univ, Sch Management, Zhenjiang, Peoples R China
[2] Univ Waikato, Hamilton, New Zealand
[3] Jiangsu Univ, Sch Finance & Econ, Zhenjiang, Peoples R China
[4] Hohai Univ, Sch Publ Adm, Nanjing, Jiangsu, Peoples R China
[5] Victoria Univ, Coll Engn & Sci, Melbourne, Vic, Australia
[6] Charles Darwin Univ, Coll Engn, IT & Environm, Darwin, NT, Australia
[7] Victoria Univ, Inst Sustainable Ind & Liveable Cities, Melbourne, Vic, Australia
关键词
carbon dioxide emissions; electricity consumption; economic growth; ARDL bound testing; Pakistan; FOREIGN DIRECT-INVESTMENT; ENERGY-CONSUMPTION; CO2; EMISSIONS; FINANCIAL DEVELOPMENT; RENEWABLE ENERGY; TIME-SERIES; EMPIRICAL-EVIDENCE; GRANGER CAUSALITY; ENVIRONMENTAL-QUALITY; TRADE OPENNESS;
D O I
10.3389/fenvs.2022.1075730
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The economy of Pakistan has constantly been plunged due to its severe electricity shortages over the last 2 decades and persistently faces challenges in revamping its electricity supply network. The purpose of this research was to assess the causal relationship between carbon dioxide emissions (CO2), combustible renewable and waste (CRW), electric power consumption (EC), electricity production from coal (EPC), hydroelectric (EPH) and natural gas (EPN) sources, energy use (EU) and gross domestic product (GDP). The scope of this research included Pakistan's annual time series data from 1971 to 2014. This study employed Autoregressive Distributed Lag (ARDL) bound testing analysis to determine the long-term and short-term correlations among all research parameters. This research also conducted Augmented Dickey-Fuller (ADF), Phillips-Perron (PP) and Kwiatkowski-Phillips Schmidt-Shin (KPSS) tests to evaluate the stationarity existence among dependent variable and independent variables. The outcomes of the fully modified least squares (FMOLS), dynamic ordinary least square (DOLS) and canonical co-integrating regression (CCR) estimators showed that coefficients of EC, EPH and GDP all were a significantly positive relationship with CO2 emissions, while the coefficients of CRW, EPC and EU were negatively significant, respectively. Furthermore, the outcomes from the short-run analysis revealed that the error correction term value was-0.8668, which indicates that from short-run to long-run equilibrium, the adjustment of the deviation of CO2 emission is by 86.68 percent annually. Moreover, the diagnostic results also demonstrated that the model employed in this research is stable and reliable. Pakistan was selected in this research work because of the deficit of power and if environmental degradation continues unchecked, it will eventually affect the state's economic growth and CO2 emissions. The study's primary policy recommendation is that government energy policymakers in Pakistan who create the environment framework in should pursue conservative energy measures as such measures will not negatively impact economic growth.
引用
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页数:23
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