Literature DB >> 34138432

Do carbon emissions impact Nepal's population growth, energy utilization, and economic progress? Evidence from long- and short-run analyses.

Kalpana Regmi1, Abdul Rehman2.   

Abstract

Greenhouse gases are the major issues globally leading to climate change and increased pollution of the atmosphere. CO2 emissions have divergent effect to the environment that also causes the economic performance of any country. The main motive of this analysis was to expose the influence of CO2 emission on population growth, fossil fuel energy consumption, economic progress, and energy usage in Nepal by using time series data ranging from 1971 to 2019, and data stationarity was checked with the help of unit root tests. An autoregressive distributed lag (ARDL) method with cointegration test was employed to adjudicate the variable dynamics with short- and long-run evidence. Furthermore, variable causality was tested through the Granger causality test. Study findings show that during long-run analysis that fossil fuel energy consumption and energy utilization has constructive affinity with carbon dioxide emission that exposed the p-values (0.0000) and (0.1065) correspondingly, while population growth and economic progress uncovered an inimical relation to CO2 emission. Similarly, the outcomes via short-run analysis also show that fossil fuel energy consumption and energy utilization have productive relation with CO2 emission which shows the p-values (0.0000) and (0.1317), while population growth and economic progress demonstrate an adverse influence to CO2 emission. The causality test results also validate a unidirectional linkage among variables. In attempt to participate in the global fight to clean up the atmosphere, the Nepali government and officials must take new measures to reduce CO2 emissions.

Entities:  

Keywords:  ARDL; Carbon emission; Economic progress; Environment; Fossil fuel energy; Pollution reduction

Year:  2021        PMID: 34138432     DOI: 10.1007/s11356-021-14546-6

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  2 in total

Review 1.  The relationship between health expenditure, CO2 emissions, and economic growth in the BRICS countries-based on the Fourier ARDL model.

Authors:  Fangjhy Li; Tsangyao Chang; Mei-Chih Wang; Jun Zhou
Journal:  Environ Sci Pollut Res Int       Date:  2022-01-09       Impact factor: 5.190

2.  Carbon emissions index decomposition and carbon emissions prediction in Xinjiang from the perspective of population-related factors, based on the combination of STIRPAT model and neural network.

Authors:  Chai Ziyuan; Yan Yibo; Zibibula Simayi; Yang Shengtian; Maliyamuguli Abulimiti; Wang Yuqing
Journal:  Environ Sci Pollut Res Int       Date:  2022-01-11       Impact factor: 5.190

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.