The main objective of this study is to examine the effect sickle energy consumption, renewable energy, and forest area on emission carbon dioxide (CO2) in Morocco. Many studies have abord subject using a different approachs, most which used econometric models such as Vector Autoregressive (VAR) Error Correction Model (ECM) Distributed Lag (ARDL). In study, we opted for Non-linear (NARDL) model....

This paper examines the relation between granting central banks more independence represented in both its manifested legal charter as well actual practices adopted and inflation Egypt during period from 1998-2019. To do so, this first looks at evolution of different bank (CBI) measures adopts most comprehensive relevant one. Consequently, it runs a regression model adopting an autoregressive di...

This paper investigates how changes in the corporate income tax affect unemployment Bangladesh. The impact of taxation on has been analyzed this by applying an Autoregressive Distributed Lag Model (ARDL) bound testing approach covering a period from 1991 to 2021. results show that rate no significant effect levels both short run and long run. In contrast, economic growth country, together with ...

This paper models the price and income elasticity of retail finance in Australia using aggregate quarterly data and an autoregressive distributed lag (ARDL) approach. We particularly focus on the impact of the global financial crisis (GFC) from 2007 onwards on retail finance demand and analyse four submarkets (period analysed in brackets): owneroccupied housing loans (Sep 1985–June 2010), term ...

This paper focused on the endogenous and exogenous factors that affect China's sustainable energy system (SES). 19 Endogenous factors, from economic sustainability dimension, social environmental dimension security assessed SES by entropy method-analytic hierarchy process-criteria importance through intercriteria correlation method (EM-AHP-CRITIC). We used urbanization, foreign direct investmen...

This study aims to determine the relationship between exports, foreign debt payments, and exchange rates on reserves of Indonesia in 1988-2019. uses secondary data for 31 years Autoregressive Distributed Lag (ARDL) analysis method analyze data. The results this indicate that all variables have no variables, only exports. In short-term testing, export does not a significant effect reserves, paym...

Purpose: This study aims to analyze the demand for oil exports and determine short-term long-term impact of patchouli price variables, per capita income export destinations, real exchange rate on Indonesia's demand. Theoretical framework: is supported by literature Method/design/approach: employed panel ARDL regression (Autoregressive Distributed Lag) data from 2006 - 2021 Results conclusion: A...

The purpose of this study is to analyze the long-term impacts health capital on economic growth in Southeast Asia from 2000 – 2021. This employed autoregressive distributed lag (ARDL) model estimate long-run and short-run nexus among variables. Furthermore, FMOLS, DOLS CCR were used for a more robust examination empirical findings. results show that (proxy by expenditure per capita) has relatio...

This paper focuses on different methods of estimation and forecasting in first-order integer-valued autoregressive processes with Poisson-Lindley (PLINAR(1)) marginal distribution. For this purpose, the parameters of the model are estimated using Whittle, maximum empirical likelihood and sieve bootstrap methods. Moreover, Bayesian and sieve bootstrap forecasting methods are proposed and predict...