نتایج جستجو برای: regressive distribution lags ardl model
تعداد نتایج: 2586013 فیلتر نتایج به سال:
Purpose: The airport infrastructure plays capital importance in the development of national trade. It facilitates flow people, goods, and services more quickly. Thus, given its importance, this study seeks to analyze impact Angolan investment between 2000 – 2020.Design/methodology/approach: article presents results quantitative qualitative research, based on narrative review output Auto-Regress...
In the past several years there has been considerable commercial and academic interest in methods for variance-based sensitivity analysis. The industrial focus is motivated by the importance of attributing variance contributions to input factors. A more complete understanding of these relationships enables companies to achieve goals related to quality, safety and asset utilization. In a number ...
This study uses the Autoregressive Distributed Lag (ARDL) model to study the dynamic determinant factors that influence both long and short-term international tourism demand in Cambodia from 12 countries. The annual time series data (1994–2013) are used in this study. The study finds that only the international tourism demand model of Australia, Canada, Thailand, the United Kingdom, and USA are...
In this study, the causal-effect between carbon dioxide emissions and forestry production and trade was investigated in Ghana by employing a data spanning from 1961 to 2014 by using the VECM and ARDL model. Evidence of the long-run equilibrium relationship in the VECM shows that, a 1% increase in veneer sheet production reduces carbon dioxide emissions by 1.47% in the long-run. There was eviden...
The motivation of this study has been to identify the effects multidimensional perspectives macroeconomic volatility on growth external debt in Nigeria from 1970 2018. Methodologically, Auto-Regressive Distributed Lag (ARDL) model and TodaYamamoto causality approach were adopted. For purpose understanding perspective volatility, was disaggregated into three different which are: outcomes, domes...
The study conducts a comparative analysis of the relationship between renewable electricity consumption and economic growth in South Africa Zimbabwe. utilises time series data spanning from 1990 to 2019 collected World Bank International Energy Agency (IEA). performed Dickey-Fuller Generalised Least Squares Phillips-Perron unit root test, ARDL Bounds test for cointegration optimal lags models. ...
این مطالعه به بررسی تأثیر سیاستهای مالی دولت بر رشد اقتصادی ایران برای دورة زمانی 82-1338 با استفاده از روشهای ARDL[1] و VDCF[2]میپردازد. نتایج تحقیق حاکی از آن است که از میان ابزارهای سیاست مالی دولت، مخارج عمرانی و مالیاتها به ترتیب دارای اثرمستقیم و معکوس معناداری بر رشد اقتصادی هستند، ولیکن مخارج مصرفی اثر معناداری بر رشد اقتصادی ندارد.از نتایج بهدست آمده برای امر سیاستگزاری میتوان به ا...
The paper sought to examine the impact of Free Trade Area on Nigeria’s domestic industries from 1980 2019. It employed autoregressive distributive lag (ARDL) estimation technique analyze short-run and long-run relationships between independent explanatory variables, thereby validating objective study. All variables were stationary after first difference, except Ease Doing Business (EDB). In sho...
Although ecologists have long recognized that animal space use is primarily determined by the presence of predators and the distribution of resources, the effects of these two environmental conditions have never been quantified simultaneously in a single spatial model. Here, in a novel approach, predator-specific landscapes of fear are constructed on the basis of behavioral responses of a prey ...
Background: Urban air pollutants may affect respiratory mortality. This study was conducted to investigate this effect in Ahvaz, one of the most polluted cities in the world. Methods: The impact of 7 major air pollutants including O3, PM10, NO2, CO, and SO2 were evaluated on respiratory mortality in different gender and age groups using a quasi-Poisson, second degree polynomial constrained, di...
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