Does the causality between environmental sustainability, non-renewable energy consumption, geopolitical risks, and trade liberalization matter for Pakistan? Evidence from VECM analysis

Khurshid, Nabila

doi:10.1016/j.heliyon.2023.e21444

Cited by 8 publications

(3 citation statements)

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“…Khurshid [ 49 ] suggested the Granger causality test and cointegration analysis for determining causality among time series variables. A Johansen test examined cointegration, and the diagnostic test in S10 Appendix indicated that residuals showed no significant evidence of multicollinearity, autocorrelation, heteroscedasticity, model misspecification, or deviation from normality, with p-values above the 5% critical value.…”

Section: Methodsmentioning

confidence: 99%

“…A Johansen test examined cointegration, and the diagnostic test in S10 Appendix indicated that residuals showed no significant evidence of multicollinearity, autocorrelation, heteroscedasticity, model misspecification, or deviation from normality, with p-values above the 5% critical value. Eq 2 , supported by [ 49 , 50 ] represent the long-run relationship between variables in the cointegration relationship.…”

Section: Methodsmentioning

confidence: 99%

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Unveiling Sri Lanka’s brain drain and labour market pressure: A study of macroeconomic factors on migration

Kaluarachchi,

Jayathilaka

2024

PLoS ONE

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The purpose of this study is to explore the impact of GDP per capita income (GDPPCI), unemployment, higher education (HE), and economic growth (EG) on migration in Sri Lanka. Numerous global and local studies have explored the influence of macroeconomic and socioeconomic factors on migration. In the Sri Lankan context, fewer studies have probed the impact of GDPPCI, unemployment, HE, and EG on migration, particularly concerning brain drain and domestic labour market pressure. An applied research methodology was adopted, utilising annual data from 1986 to 2022. The statistical data were sourced from reports by the Sri Lanka Bureau of Foreign Employment (SLBFE), the Central Bank of Sri Lanka (CBSL), Labor Force Survey Data from the Department of Census and Statistics (LFSDCS), and University Grants Commissions (UGC). This study utilised the Vector Error Correlation model (VECM), Vector Auto-regression (VAR), and Granger Causality test through STATA. The empirical findings of the VAR model highlighted that GDPPCI and EG negatively impact migration, whereas unemployment and HE positively affect migration. The study’s implications demonstrated that GDPPCI, unemployment, HE, and EG were the primary factors influencing the country’s migration decisions. These findings will hopefully inform and guide the Sri Lankan government and policymakers for more effective decision-making.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Unveiling Sri Lanka’s brain drain and labour market pressure: A study of macroeconomic factors on migration

Kaluarachchi,

Jayathilaka

2024

PLoS ONE

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“…One advantage of economic expansion is the potential for enhanced access to products and services, such as healthcare and education, which can contribute to the improvement of human wellbeing (Niu et al, 2021). Economic growth can lead to the development of eco-friendly technologies and sustainable practices, hence mitigating the adverse environmental impacts of economic activity (Khan et al, 2020;Khurshid, 2023b). Conversely, it has a detrimental effect on EIWB, leading to heightened resource use, deforestation, climate change, and pollution.…”

Section: Graphical Abstract 1 Introductionmentioning

confidence: 99%

Integrating non-renewable energy consumption, geopolitical risks, economic development with the ecological intensity of wellbeing: evidence from quantile regression analysis

Khurshid,

Egbe,

Akram

2024

Front. Energy Res.

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Introduction: This study delves into the intricate relationship between non-renewable energy sources, economic advancement, and the ecological footprint of well-being in Pakistan, spanning the years from 1980 to 2021.Methods: Employing the quantile regression model, we analyzed the co-integrating dynamics among the variables under scrutiny. Non-renewable energy sources were dissected into four distinct components—namely, gas, electricity, and oil consumption—facilitating a granular examination of their impacts.Results and discussion: Our empirical investigations reveal that coal, gas, and electricity consumption exhibit a negative correlation with the ecological footprint of well-being. Conversely, coal consumption and overall energy consumption show a positive association with the ecological footprint of well-being. Additionally, the study underscores the detrimental impact of geopolitical risks on the ecological footprint of well-being. Our findings align with the Environmental Kuznets Curve (EKC) hypothesis, positing that environmental degradation initially surges with economic development, subsequently declining as a nation progresses economically. Consequently, our research advocates for Pakistan’s imperative to prioritize the adoption of renewable energy sources as it traverses its developmental trajectory. This strategic pivot towards renewables, encompassing hydroelectric, wind, and solar energy, not only seeks to curtail environmental degradation but also endeavors to foster a cleaner and safer ecological milieu.

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Assessing the non-linear relation among consumption-based CO2 emissions, militarization, goss fixed capital formation, and environmental sustainability in Pakistan: What lessons for posterity?

Khurshid,

Shakoor

et al. 2024

Environ Dev Sustain

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Does the causality between environmental sustainability, non-renewable energy consumption, geopolitical risks, and trade liberalization matter for Pakistan? Evidence from VECM analysis

Cited by 8 publications

References 60 publications

Unveiling Sri Lanka’s brain drain and labour market pressure: A study of macroeconomic factors on migration

Unveiling Sri Lanka’s brain drain and labour market pressure: A study of macroeconomic factors on migration

Integrating non-renewable energy consumption, geopolitical risks, economic development with the ecological intensity of wellbeing: evidence from quantile regression analysis

Assessing the non-linear relation among consumption-based CO2 emissions, militarization, goss fixed capital formation, and environmental sustainability in Pakistan: What lessons for posterity?

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