Recently, sustainable development is demanded to be a compulsory requirement by international communities due environmental and economic instability, hence, encouraging scholars explore various approaches through which countries could achieve it. In this lieu, the present article explores concept of green investment, eco-innovation, financial inclusion their effectiveness on in context China. T...

This paper examines the nexus between financial development and energy consumption in South Africa. To determine long run short relationship Africa, uses an Auto Regressive Distributed Lag bounds test (ARDL) Granger causality to establish type of correlation 1980 2018. ARDL testing method offers concrete long-run estimates t-statistics as it is flexible whether adopted variables are I(0) or I(1...

Purpose To study the key determinants of chronically high inflation in Iran. Design/methodology/approach Relying on annual data from 1978 to 2019, authors employ an Auto-Regressive Distributed Lag (ARDL) model and Error Correction Model (ECM) inflationary effects monetary fiscal policies as well exchange rate swings sanctions intensification. Findings The find that increase money supply, deprec...

The government of Tanzania has persistently experienced uneven growth rate Gross Domestic Product (GDP) and failed to attain the national target. This research study intended examine impact oil price volatility on inflation economic in Tanzania. Specifically, analysed causal relationship between Oil Price Volatility, employed secondary data modelling time series was done by using Auto regressiv...

This study analyzed government expenditure and economic growth of Nigeria for the period 1981-2021. Government was proxied with on education, health, social community services while total investment net foreign trade were included as intervening variables. Economic gross domestic product. The data using econometric procedures particularly Auto regressive Distributed Lag (ARDL) model. results sh...

In this paper, we use daily administrative data from January 25, 2020 to December 31, examine the relationship between job losses and Malaysian lockdown measures. The Auto Regressive Distributed Lag (ARDL) approach is used estimate both long-run short-run models. results of Bounds F-test for cointegration reveal that there a link government measures (both linear non-linear). positive associatio...

The main purpose of this paper is to evaluate the effect of crude oil price on global fertilizer prices in both the mean and volatility. The endogenous structural breakpoint unit root test, the autoregressive distributed lag (ARDL) model, and alternative volatility models, including the generalized autoregressive conditional heteroskedasticity (GARCH) model, Exponential GARCH (EGARCH) model, an...

The existing millennium documents the most adverse consequences of global warming which in contrast to pre-industrial era are more devastating. Thus, these prevailing raise numerous concerns regarding well-being future and current generation. Scholars, this regard, putting efforts punctiliously towards methods that could halt surging emissions. This paper also attempts contributes literature by...

Natural gas plays an important role in industry as a clean energy, with the intensification of Russia-Ukraine war, there is large-scale energy shortage Europe, and natural supply Europe has crisis due to cut-off Nord Stream No.1 pipeline. Therefore, it necessary accurately predict consumption gas. In order fulfill this requirement, paper uses Lagrangian Support Vector Regression model Sorensen ...