College of Economics & Management, Huazhong Agricultural University, No.1, Shizishan Street, Hongshan District, Wuhan, 430070, People's Republic of China.
Abdul Wali Khan University, Mardan, Khyber Pakhtunkhwa, Pakistan.
Environ Sci Pollut Res Int. 2021 Jan;28(4):4594-4614. doi: 10.1007/s11356-020-10763-7. Epub 2020 Sep 18.
Greenhouse gas effect is known as the main cause of worldwide warming and environmental change. The present study was planned to examine the causal relationship between carbon dioxide (CO) emissions, CO emissions from solid fuel consumption (COS), energy use (EU), fossil fuel energy consumption (FOF), gross domestic product (GDP), and net domestic credit (NDC). This research work is based on Pakistan's annual data from 1971 to 2014. Autoregressive distributed lag (ARDL) bound testing design was used to measure both long-run and the short-run relationships among all study variables. To inspect the stationarity of the study variables, augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) tests were also carried out. The outcome of the long-run estimates indicated that COS, EU, and GDP all have a significant relationship with CO emissions while both FOF and NDC did not exhibit any significant effect. The value of error correction term (ECT) was - 0.977 which signifies that the deviation of CO emissions from short-run to long-run equilibrium was fitted by 97.7% per year. Johansen co-integration test results display a long-run association between the study variables. Based on the study findings, the government requires to take effective measures for constructive policy-making and identification of environmental threats in Pakistan. Additionally, emission decreasing actions should be settled the fundamental agenda in energy and environmental strategies of Pakistan for the reduction in damages connected with carbon dioxide emissions.
温室气体效应被认为是全球变暖与环境变化的主要原因。本研究旨在检验二氧化碳(CO)排放、固体燃料消费的 CO 排放(COS)、能源利用(EU)、化石燃料能源消费(FOF)、国内生产总值(GDP)和国内净信贷(NDC)之间的因果关系。本研究工作基于巴基斯坦 1971 年至 2014 年的年度数据。自回归分布滞后(ARDL)约束检验设计用于测量所有研究变量的长期和短期关系。为了检验研究变量的平稳性,还进行了增广迪基-富勒(ADF)和菲利普斯-珀罗恩(PP)检验。长期估计的结果表明,COS、EU 和 GDP 与 CO 排放都有显著关系,而 FOF 和 NDC 则没有表现出任何显著影响。误差修正项(ECT)的值为-0.977,这意味着 CO 排放从短期到长期均衡的偏差每年拟合 97.7%。约翰森协整检验结果显示研究变量之间存在长期关联。根据研究结果,政府需要采取有效措施,在巴基斯坦制定建设性的政策,识别环境威胁。此外,减少排放的行动应成为巴基斯坦能源和环境战略的基本议程,以减少与二氧化碳排放相关的损害。