scholarly journals Financial Development, Institutional Quality, and Environmental Degradation Nexus: New Evidence from Asymmetric ARDL Co-Integration Approach

2020 ◽  
Vol 12 (18) ◽  
pp. 7812 ◽  
Author(s):  
Farhan Ahmed ◽  
Shazia Kousar ◽  
Amber Pervaiz ◽  
José Pedro Ramos-Requena
Keyword(s):  
Financial Development ◽  
Environmental Degradation ◽  
Environmental Sustainability ◽  
Trade Openness ◽  
Institutional Quality ◽  
Bounds Testing ◽  
Long Run ◽  
Auto Regressive ◽  
Negative Shock

The aim of this study is threefold; first, the study investigates the symmetric impact of trade openness, financial development, and institutional quality on environmental degradation and environmental sustainability. Second, the study examines the asymmetric relationship between financial development, institutional quality, and environmental degradation. Third, the study examines the asymmetric relationship between financial development, institutional quality, and environmental sustainability. For this purpose, the study utilized the data of Pakistan from 1996 to 2018. The study applied Augmented Dickey–Fuller (ADF), Phillips Parron (PP) and Zivote, and Andrews unit root test to check the properties of stationarity of the data. This study applied the Auto Regressive Distributive Lags (ARDL) model to investigate symmetric relationships while the Non-Linear Auto Regressive Distributive Lag Model (NARDL) approach is utilized to investigate the asymmetric relationship among variables. ARDL bounds testing approach utilized to investigate long-run co-integration while short-run dynamics have been investigated by applying the error correction method (ECM). This study found the significant long-run symmetric and asymmetric association of institutional quality (IQ) and financial development (FD) with environmental degradation (ED) and environmental sustainability. However, IQ- has an insignificant association with environmental sustainability. Moreover, dynamic multiplier analysis indicates that positive shock to FD and IQ has a stronger impact on environmental degradation while a positive or negative shock to FD; both have a stronger impact on environmental sustainability. However, a positive or negative shock to IQ has a smaller impact on environmental sustainability. Moreover, the study also found a significant long-run symmetric association of trade openness with environmental degradation and environmental sustainability. This study suggests that the quality of institutions, financial development, and trade openness is necessary to enhance the quality of the environment.

scholarly journals Coal Consumption and Environmental Sustainability in South Africa: The role of Financial Development and Globalization

2021 ◽  
Vol 10 (3) ◽  
pp. 527-536
Author(s):  
Tomiwa Sunday Adebayo ◽  
Dervis Kirikkaleli ◽  
Ibrahim Adeshola ◽  
Dokun Oluwajana ◽  
Gbenga Daniel Akinsola ◽  
...  
Keyword(s):  
South Africa ◽  
Frequency Domain ◽  
Financial Development ◽  
Environmental Degradation ◽  
Environmental Sustainability ◽  
Ordinary Least Squares ◽  
Coal Consumption ◽  
Causality Test ◽  
Significance Level ◽  
Long Run

This paper aims to investigate coal consumption and environmental sustainability in South Africa by examining the role of financial development and globalization by using a dataset covering the period from 1980 to 2017. The study utilized the Auto-regressive Distributed Lag Model (ARDL) approach in addition to the Bayer and Hank combined co-integration, fully modified Ordinary least squares (FMOLS), and Dynamic ordinary least Squares (DOLS). The study further utilized the frequency domain causality test to capture the causal linkage between the series. The advantage of the frequency domain causality is that it can capture causal linkages between series at different periods. The Bayer and Hanck co-integration and ARDL bounds tests reveal co-integration among the series. The empirical findings based on the ARDL long-run estimation reveal that a 1% increase in coal consumption increases environmental degradation by 1.077%, while a 1% increase in financial development decreases the environmental degradation by 0.973%. Furthermore, a 1% increase in economic growth decreases environmental quality by 1.449%. The outcomes of the FMOLS and DOLS approaches also provide supportive evidence for the ARDL long-run results. Furthermore, the results of the frequency domain causality test reveal that at a significance level of 1%, coal consumption Granger causes CO2 emissions at different frequencies, while financial development Granger causes CO2 emissions in the long run and short run at a significance level of 10%. In terms of policy suggestions, South Africa should embrace policies that encourage energy consumers to shift toward renewable energy. Furthermore, financial reforms should be implemented to curb environmental degradation

Does Nominal Devaluation Improve Income Distribution? Evidence from Bangladesh

2012 ◽  
Vol 19 (1) ◽  
pp. 61-77
Author(s):  
Muhammad Shahbaz ◽  
Mohammad Mafizur Rahman
Keyword(s):  
Income Inequality ◽  
Income Distribution ◽  
Trade Openness ◽  
Bounds Testing ◽  
Correction Model ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
The Impact

The article aims to investigate the impact of nominal devaluation on income distribution in Bangladesh both in short and long runs. In doing so, Auto Regressive Distributed Lag (ARDL) bounds testing has been employed for cointegration, and Error Correction Model (ECM) has been used for short-run dynamics. The empirical psychology has confirmed the existence of long-run relationship between the variables. Furthermore our estimated results reveal that nominal devaluation tends to decrease income inequality. Though economic growth appears to improve income distribution, non-linear link between both the variables, however, depicts Kuznets’ inverted-U curve (1955). Financial development causes further deterioration in income distribution. Trade openness contributes to income inequality as discussed in Leontief Paradox.

scholarly journals FINANCIAL DEVELOPMENT, INCOME, TRADE, AND URBANIZATION ON CO2 EMISSIONS: NEW EVIDENCE FROM KYOTO ANNEX COUNTRIES

2018 ◽  
Vol 9 (3) ◽  
pp. 17 ◽  
Author(s):  
Muhammad Rizwan Nazir ◽  
Muhammad Imran Nazir ◽  
Shujahat Haider Hashmi ◽  
Zeeshan Fareed
Keyword(s):  
Co2 Emissions ◽  
Financial Development ◽  
Environmental Degradation ◽  
Trade Openness ◽  
Negative Influence ◽  
Financial Reforms ◽  
Long Run ◽  
Short Run ◽  
Carbon Dioxide Co2 ◽  
The Impact

This study attempts to empirically investigate the impact of financial development, income, trade openness, and urbanization on carbon dioxide (CO2) emissions for the 21 Kyoto Annex countries using a balance panel data and GMM system over the period of 1970-2016. The results show a positive relationship between income and CO2 emissions in long-run. All models support the EKC hypothesis which assumes an inverted U-shaped relationship among income and environmental degradation. Financial development has a long-run negative influence on CO2 emissions, indicating that financial development reduces the environmental degradation. This means that financial development can be used as an implement to keep the degradation environmental clean by presenting financial reforms. The urbanization declines the CO2 emissions; however, it is essential for the policymakers and urban planners in these countries to control the rapid increase in urbanization. The panel causality confirms that bi-directional causal relationship between financial development, CO2 emissions, income, trade openness, and Urbanization in short-run.

scholarly journals Coal Consumption and Environmental Sustainability in South Africa: The role of Financial Development and Globalization

2021 ◽  
Vol 10 (3) ◽  
pp. 527-536
Author(s):  
Tomiwa Sunday Adebayo ◽  
Dervis Kirikkaleli ◽  
Ibrahim Adeshola ◽  
Dokun Oluwajana ◽  
Gbenga Daniel Akinsola ◽  
...  
Keyword(s):  
South Africa ◽  
Frequency Domain ◽  
Financial Development ◽  
Environmental Degradation ◽  
Environmental Sustainability ◽  
Ordinary Least Squares ◽  
Coal Consumption ◽  
Causality Test ◽  
Significance Level ◽  
Long Run

This paper aims to investigate coal consumption and environmental sustainability in South Africa by examining the role of financial development and globalization by using a dataset covering the period from 1980 to 2017. The study utilized the Auto-regressive Distributed Lag Model (ARDL) approach in addition to the Bayer and Hank combined co-integration, fully modified Ordinary least squares (FMOLS), and Dynamic ordinary least Squares (DOLS). The study further utilized the frequency domain causality test to capture the causal linkage between the series. The advantage of the frequency domain causality is that it can capture causal linkages between series at different periods. The Bayer and Hanck co-integration and ARDL bounds tests reveal co-integration among the series. The empirical findings based on the ARDL long-run estimation reveal that a 1% increase in coal consumption increases environmental degradation by 1.077%, while a 1% increase in financial development decreases the environmental degradation by 0.973%. Furthermore, a 1% increase in economic growth decreases environmental quality by 1.449%. The outcomes of the FMOLS and DOLS approaches also provide supportive evidence for the ARDL long-run results. Furthermore, the results of the frequency domain causality test reveal that at a significance level of 1%, coal consumption Granger causes CO2 emissions at different frequencies, while financial development Granger causes CO2 emissions in the long run and short run at a significance level of 10%. In terms of policy suggestions, South Africa should embrace policies that encourage energy consumers to shift toward renewable energy. Furthermore, financial reforms should be implemented to curb environmental degradation

Relationships between Financial Development, Trade Openness, and Economic Growth

2015 ◽  
pp. 183-196
Author(s):  
Fahri Seker ◽  
Murat Cetin ◽  
Birol Topcu ◽  
Gamze Yıldız Seren
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Trade Openness ◽  
Granger Causality Test ◽  
Bounds Testing ◽  
Causality Test ◽  
Vector Error Correction ◽  
Long Run ◽  
Short Run

The aim of this chapter is to investigate the cointegration and causal relationship between financial development, trade openness, and economic growth in Turkey for the period of 1980-2012. To analyze the data, the bounds testing and Johansen-Juselius approaches to cointegration and Granger causality test based on vector error-correction model are employed. The cointegration tests suggest that there is a long-run relationship between the variables. The Granger causality test reveals long-run bidirectional causality between trade openness and economic growth. The findings also indicate unidirectional causality running from financial development to trade openness and economic growth in the long run as well as a bi-directional causality between financial development and economic growth in the short run. The results support supply-leading and trade-led growth hypotheses. Therefore, it can be suggested that Turkey can accelerate its economic growth by improving its financial systems and encouraging foreign trade.

scholarly journals Linking Economic Growth, Urbanization, and Environmental Degradation in China: What Is the Role of Hydroelectricity Consumption?

2021 ◽  
Vol 18 (13) ◽  
pp. 6975
Author(s):  
Tomiwa Sunday Adebayo ◽  
Mary Oluwatoyin Agboola ◽  
Husam Rjoub ◽  
Ibrahim Adeshola ◽  
Ephraim Bonah Agyekum ◽  
...  
Keyword(s):  
Economic Growth ◽  
Environmental Degradation ◽  
Environmental Sustainability ◽  
Structural Break ◽  
Ekc Hypothesis ◽  
Bounds Testing ◽  
Causality Test ◽  
Distributed Lag ◽  
Gradual Shift ◽  
Long Run

Achieving environmental sustainability has become a global initiative whilst addressing climate change and its effects. Thus, this research re-assessed the EKC hypothesis in China and considered the effect of hydroelectricity use and urbanization, utilizing data from 1985 to 2019. The autoregressive distributed lag (ARDL) bounds testing method was utilized to assess long-run cointegration, which is reinforced by a structural break. The outcome of the ARDL bounds test confirmed cointegration among the series. Furthermore, the ARDL revealed that both economic growth and urbanization trigger environmental degradation while hydroelectricity improves the quality of the environment. The outcome of the ARDL also validated the EKC hypothesis for China. In addition, the study employed the novel gradual shift causality test to capture causal linkage among the series. The advantage of the gradual shift causality test is that it can capture gradual or smooth shifts and does not necessitate previous information of the number, form of structural break(s), or dates. The outcomes of the causality test revealed causal connections among the series of interest.

Asymmetric Impact of Institutional Quality on Environmental Degradation: Evidence of the Environmental Kuznets Curve

2021 ◽  
Vol 13 (22) ◽  
pp. 12507
Author(s):  
Farrah Dina Abd Razak ◽  
Norlin Khalid ◽  
Mohd Helmi Ali
Keyword(s):  
Financial Development ◽  
Environmental Degradation ◽  
Environmental Kuznets Curve ◽  
Energy Use ◽  
Institutional Quality ◽  
Kuznets Curve ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Lag Model ◽  
New Guidelines

This paper aims to discover the asymmetry impacts and co-integration between gross domestic product, financial development, energy use and environmental degradation by featuring institutional quality covering the Malaysia economy during the period from 1984 until 2017 using a nonlinear auto-regressive distributed lag model. The results confirm the existence of the Environmental Kuznets Curve hypothesis for both linear and nonlinear analyses, thus verifying the relevance of symmetric and asymmetric EKC hypotheses for Malaysia. Further, this study verifies the attributes of financial development and institutional quality that mitigates the concern on CO2 emissions, but contradicting results were produced on energy use. The implication of this finding provides new guidelines for Malaysia authorities to consider the asymmetries in formulating environment-related policies to maintain environmental quality and achieve their sustainable development goals.

scholarly journals Role of Information and Communication Technology, Foreign Direct Investment and Trade Openness in Environmental Sustainability

2021 ◽  
Vol 7 (2) ◽  
pp. 263-272
Author(s):  
Sulaman Hafeez Siddiqui ◽  
Sohail Saeed ◽  
Areeba Khan ◽  
Hina Bhatti
Keyword(s):  
Co2 Emissions ◽  
Information And Communication Technologies ◽  
Environmental Sustainability ◽  
Trade Openness ◽  
Communication Technologies ◽  
Fdi Inflows ◽  
Long Run ◽  
Short Run ◽  
Information And Communication ◽  
The Government

Purpose: The benefits of Information and Communication Technologies (ICTs) in environmental resource management has been a topic of hot discussion for the policymakers across the world.  For the purpose, the government of Pakistan took initiative in 2018 to use technology for the country’s social welfare, financial benefits and to enhance environmental sustainability and named it as “Digital Pakistan Initiative”.Design/Methodology/Approach: For analysis, this study took CO2 emissions as the dependent variable and ICT, FDI inflows, and Trade Openness as independent variables. Data were collected on bimonthly basis from 2004 through 2019, and analyzed employing ARDL approach. Main purpose of the study was to examine the short-run and long-run relationship among carbon emissions and ICT, FDI Inflows and Trade Openness.Findings: The findings show that there exists a short-run relationship among all the variables; however, FDI inflows and trade openness have a significant relationship with CO2 emissions. The results also exhibit that there is no long-run relationship between CO2 emissions, FDI inflows, and Trade openness while ICT has an insignificant long-run relationship with CO2 emissions. With the increase of information and communication, the country’s environmental sustainability is also increased. Implications/Originality/Value: The current study was based on least considered variables and the pioneer in testing the complex relationship through VAR estimation.

scholarly journals Consequences of Capital formation, Trade Liberalization on the Economic Growth: Pakistan’s Experience

2015 ◽  
Vol 2 (1) ◽  
pp. 1-4
Author(s):  
Nadia Bukhari ◽  
Anjum Iqbal
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Trade Openness ◽  
Capital Formation ◽  
Vital Role ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Auto Regressive ◽  
Adf Test

This study considers the long run relationship between the liberalization of trade, capital formation and the economic growth of Pakistan by using the time series data from 1975-2013. The main aim of this study is to examine that how much liberalization of trade and capital formation affects the economic growth of Pakistan in long run. The approach that has been used for empirical analysis is Auto Regressive Distributed Lag (ARDL) model. Under the ADF test capital formation (CF) is stationary at its first level but the trade openness (TO) and GDP is stationary at its first difference. Moreover, the granger casualty test is evident that there become a casual relationship between the trade openness and GDP. The result of this study shows that both the trade openness and the capital formation determined the economic growth in long run and they both have statistically significant effect on the GDP. Furthermore it has has been depicted from the study that the trade has a vital role to influence the economic growth.

scholarly journals The Impact of Industrialization, Trade Openness, Financial Development, and Energy Consumption on Economic Growth in Indonesia

Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 174
Author(s):  
Khalid Eltayeb Elfaki ◽  
Rossanto Dwi Handoyo ◽  
Kabiru Hannafi Ibrahim
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Least Squares ◽  
Financial Development ◽  
Correction Term ◽  
Trade Openness ◽  
Ordinary Least Squares ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact

This study aimed to scrutinize the impact of financial development, energy consumption, industrialization, and trade openness on economic growth in Indonesia over the period 1984–2018. To do so, the study employed the autoregressive distributed lag (ARDL) model to estimate the long-run and short-run nexus among the variables. Furthermore, fully modified ordinary least squares (FMOLS), dynamic least squares (DOLS), and canonical cointegrating regression (CCR) were used for a more robust examination of the empirical findings. The result of cointegration confirms the presence of cointegration among the variables. Findings from the ARDL indicate that industrialization, energy consumption, and financial development (measured by domestic credit) positively influence economic growth in the long run. However, financial development (measured by money supply) and trade openness demonstrate a negative effect on economic growth. The positive nexus among industrialization, financial development, energy consumption, and economic growth explains that these variables were stimulating growth in Indonesia. The error correction term indicates a 68% annual adjustment from any deviation in the previous period’s long-run equilibrium economic growth. These findings provide a strong testimony that industrialization and financial development are key to sustained long-run economic growth in Indonesia.

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