This study aims to examine the asymmetric nexus between CO2 emissions and renewable energy economic population growth in seven East African countries (EACs) at regional level country levels. Common correlated effect means group (CCEMG), nonlinear autoregressive distributed lagged (NARDL), causality tests were employed for panel data from 1980 2016. The main findings are as follows: (1) Renewabl...

This paper investigates the inflation-hedging ability of gold in Vietnam from 2011 to 2022. In order assess how government management has affected domestic market, two local prices (SJC and 9999) were employed. The non-linear autoregressive distributed lags (NARDL) approach is applied analyze short- long-run asymmetry between CPI prices. result reveals that relationships are (asymmetric) can on...

Since the beginning of this century, there has been evidence a rise in educational funding among South Asian Association for Regional Cooperation (SAARC). However, decline recent years despite Asia being highly populated and poverty-ridden region. Thus, present study comes to assess how well countries are doing relation effect on national development indicators, namely economic growth, human ca...

The paper examines the impact of foreign direct investment and environmental pollution on economic growth in an emerging economy. We used annual data covering period 1986–2020 non-linear autoregressive distributed lag (NARDL) to analyze positive negative co-integrated variables, our findings support asymmetric relationship between investment, both short long run, as well a long-run growth. A on...

Sub-Saharan Africa (SSA) ranks lowest globally in respect of energy access rates. The resulting high poverty impedes sustainable economic growth and aggravates the overall which is prevalent SSA countries. A better understanding relationship between financial development consumption can contribute to enhancing SSA. existing literature presents conflicting evidence regarding this relationship. O...

Purpose The purpose of this study is to analyze how sentiment affects economic activity in Brazil. Design/methodology/approach Based on a nonlinear autoregressive distributed lag (NARDL) model, examines detail the short-term and long-term asymmetric impacts between variables during period from January 2007 December 2020. Findings There are three main results study. First, an important factor fo...

Purpose Climate change not only causes serious economic losses but also influences financial stability. The related research is still at the initial stage. This paper aims to examine and explore impact of climate on stability in China. Design/methodology/approach first uses vector autoregression model study applies NARDL assess nonlinear asymmetric effect China’s using monthly data from 2002 20...

The study’s motivation is to gauge the impact of financial innovation on economic growth from 2004M1 2018M12 in India and Pakistan’s economy with mediating role policy uncertainty. For instituting possible association between innovations, uncertainty, study considered both symmetric asymmetric frameworks following autoregressive distributed lagged (ARDL) nonlinear ARDL (NARDL). Furthermore, cau...

The study investigates the safe haven properties and sustainability of top five cryptocurrencies (Bitcoin, Ethereum, Dash, Monero, Ripple) gold for BRICS stock markets during COVID-19 crisis period from 31 January 2020 to 17 September in comparison precrisis 1 2016 30 2020, a nonlinear asymmetric framework using Nonlinear Autoregressive Distributed Lag (NARDL) methodology. Our results show that...