CO2 Emissions In Pakistan Research Articles

Do industrialization, energy importations, and economic progress influence carbon emission in Pakistan.

The largest challenge still remains in enhancing the living conditions and economic progress, while growing the environmental footprint is related to energy. The move towards renewable sources means that energy utilization can be increased and environmental impacts reduced. The key purpose of the present analysis was to investigate the CO2 emissions interaction to industrialization, energy imports, carbon intensity, economic progress, and gross capital formation by using time span data ranging from 1971 to 2019. Variable stationarity was confirmed by utilizing the unit root tests, while quantile regression analysis was utilized to check the CO2 emission influence on the independent variables. Outcomes showed that industrialization has constructive influence with CO2 emission having coefficient (0.161636) with probability value (0.0000). Similarly the variable energy imports, carbon intensity, and gross capital formation have positive coefficients (0.206843), (0.895212), and (0.442922) with probability values (0.2171), (0.0004), and (0.0002) correspondingly that exposed the positive interaction with CO2 emission in Pakistan. The variable economic progress exposed an adverse impact to CO2 emission with having coefficient (-0.002841) with probability value (0.8795). In directive to improve the economic progress, the government of Pakistan should take future action to minimize carbon dioxide emission from different sectors that cause the climate change.

EXPLORING ASYMMETRIC NEXUS BETWEEN TOURISM, ECONOMIC GROWTH AND CO2 EMISSIONS IN THE CONTEXT OF PAKISTAN

This study aims to examine the nexus between tourism, economic growth, and CO2 emissions in Pakistan. We examined the asymmetric relationship between tourism, economic growth, and CO2 emissions for the period 1991 to 2019. We applied NARDL technique, and Granger Causality to predict results. Moreover, we also employed ADF, PP unit root test, Zivot and Andrews test for structural breaks. The nonlinear autoregressive distributed lag is the most appropriate econometric estimator in the case if asymmetric association exists among the variables. The NARDL technique is capable to discover the dynamic association between economic growth, tourism, and CO2 emissions. Our results confirmed the asymmetric nexus between tourism, GDP and CO2 emissions in the context of Pakistan. The results reported that in the short run as well as long run positive and negative shocks of tourism and GDP affect CO2 emissions. The outcomes also revealed unidirectional causality between tourism and CO2 emission, while bi-directional causality between economic growth and CO2 emissions. Likewise, a bi-directional causality has also been reported between tourism and economic growth. The results are very useful for the macro level policy makers in Pakistan, and hopefully will provide significant insight to the relevant stakeholders.

Economic Sustainability and CO2 Emission in Pakistan: Revisiting the EKC Hypothesis

he public concern over the environmental degradation has received an increasing interest of the researchers in the last few decades. This paper intends to scrutinize the EKC hypothesis within the framework of the ARDL model over the period of 1976-2020. Along with ECM, different types of appropriate tests are also carried for the purpose of diagnosing the data and recognizing the pattern of causality. Findings reveal that growth in GDP per capita deteriorates the carbon emission at the initial stages of development but as economy grows it then helps in improving the quality of the environment. For environmental sustainability, the required level of growth threshold is calculated to be 4.61 Percent. This study also finds one-way causality running from GDP and energy consumption to CO2. Findings suggest that policymakers should concentrate on enhancing the consumption of renewable energies, implementing carbon-cutting policies in industries, and boosting the level of per capita income.

Envisaging the asymmetrical association among FDI, ICT, and climate change: a case from developing country

This investigation utilized the Non-Linear Autoregressive Distributed Lag (NARDL) approach to ascertain the non-linear influence of FDI and ICT on CO2 emission in Pakistan. Moreover, the examination revealed the impact of population, trade, and import and production of ICT on Pakistan's environmental quality. The findings of the inspection specified that negative (positive) shocks in ICT use upsurge (diminution) the level of CO2 emanation. In addition, positive shocks in FDI expressively escalate CO2 emission. However, adverse shocks indicated inconsequential sway on CO2 emission. The study identified that the production of ICT instruments at the domestic level improves environmental quality than importing from other nations. Further, the population exposed direct rapport with CO2 emission; while, the coefficient of trade disclosed a negative effect on CO2 emission in Pakistan. The investigation evaluated the Environmental Kuznets Curve (EKC) hypothesis and found that economic growth has a U-shaped liaison with CO2 emission, inferring that the EKC hypothesis imperatively exists in Pakistan. The investigation suggested that the government of Pakistan should facilitate the general public to use smart electrical devices. Moreover, the Government of Pakistan should provide opportunities for ICT based international companies to install their production units in Pakistan.

The interactional role of globalization in tourism-CO2 nexus in South Asian countries.

This research analyzes the impacts of tourism and globalization on CO2 emissions in South Asian countries. The annual data was converted into quarterly data of 1995Q1-2016Q4. Unit root test with structural breaks confirmed mixed order of integration for sample countries. ARDL test results showed the existence of EKC between tourism and CO2 emissions in Sri Lanka and Nepal. Globalization lowers the negative effects of tourism on CO2 emissions in Pakistan, India, Bangladesh, and Sri Lanka. Globalization can bring innovation in cleaner technologies, which can improve air quality in South Asian countries. Moreover, this research also confirms that GDP and energy use increase CO2 emissions significantly in South Asia. Therefore, policymakers should consider utilizing renewable energy to improve air quality. Developing countries of South Asia are accelerating their economies by the use of fossil fuels; these countries need to bring renewable energy to the economic sectors for cleaner environment. Apart from the interactional role of globalization in the tourism sector, more attention should also be given to bring strict environmental regulations.

A spatial-temporal decomposition of carbon emission intensity: a sectoral level analysis in Pakistan.

We examine the relative performance of the industry, services, and agriculture sectors in energy conservation and reduction in CO2 emissions in Pakistan using the "spatial-temporal decomposition" method by taken data from 2006 to 2016. An efficient way to achieve low-carbon economy targets is to decompose different factors contributing to CO2 emissions, including structure effect, intensity effect, GDP gap effect, energy use efficiency effect, and economic efficiency. We classify economic sectors into three groups based on performance, i.e., sectors performing below, average, and above-average performing. Our results indicate that the economic efficiency and energy use efficiency effects in the industry sector have remained above average. In contrast, the GDP gap effect has remained below average. In the case of structure effect and intensity effect, the agriculture sector has performed on average. In contrast, the service sector has shown mixed results in all factors. The government should pay special attention to energy use structure and innovation to improve desirable output technical efficiency to achieve the target carbon emission level.

Does Globalization Asymmetrically Affect CO2 Emissions in Pakistan? A New Evidence through NARDL Approach

The study examines the impact of globalization and institutional quality on environmental degradation in Pakistan. The study employs symmetric and asymmetric Autoregressive Distributed Lag Model (ARDL) at a time to check the linear and nonlinear effect of globalization on the environment over 1985 to 2017. The long-run findings of linear ARDL shows globalization affect positively to the environment and all other control variables FDI, GDP are significant with a positive sign while institutional quality and the interaction term of globalization and institutional quality is significant with a negative sign. The study also finds the marginal effect of interaction term and found that globalization has a different effect on the environment with different level of institutional quality. The linear ARDL model is not suitable to check the asymmetric behaviour of globalization on the environment. For this, the study applied a nonlinear ARDL estimation method. The findings of the nonlinear ARDL model showed the asymmetric behaviour of globalization on the environment. This study provides a new direction by proving the asymmetric relationship of globalization on environment quality that is more beneficial for policymakers and government officials.

An Econometric Investigation of Sectoral Output and Environmental Degradation in Pakistan

This study examines effect of sectoral output (agriculture, industry and services) on environmental degradation in Pakistan ranging from period 1972 to 2017. This study makes use of Augmented Dickey Fuller test (ADF) followed by Autoregressive distributed lag model (ARDL). The empirical results show that Co2 emission in Pakistan is increased by Industrial sector output, population and energy consumption while agriculture sector output, services sector output and exports are reducing carbon dioxide emission.

Does the modifying role of institutional quality remains homogeneous in GDP-CO2 emission nexus? New evidence from ARDL approach.

This study presents a country-specific analysis for three developing countries (Pakistan, India, and Bangladesh) to determine the interaction effect of institutional quality and economic growth along with other control variables (foreign direct investment and renewable energy) on CO2 emissions. This research uses an auto regressive distributed lag (ARDL) model for quarterly data ranging from 1996Q1 to 2016Q4. The findings show that the interaction cause of economic growth and institutional quality on CO2 emissions is not homogeneous in developing countries. In India and Bangladesh, the modifying role of institutional quality is evident to reducing CO2 emissions but in Pakistan, this interacting effect increases CO2 emissions. The findings confirm an inverted U-shaped EKC in Pakistan and Bangladesh but not significant in India. The independent role of GDP and institutional quality significantly reduces CO2 emissions in Pakistan and Bangladesh.

POPULATION DENSITY, CO2 EMISSION AND ENERGY CONSUMPTION IN PAKISTAN: A MULTIVARIATE ANALYSIS

The objective of the research is to re-examine the influences of population density, energy consumption on CO2 emission in Pakistan. In addition, the effect of the growth and trade is also discovered in the study using Fully Modified Least Square (FMOLS) method from 1990 to 2014. Further, robust analysis is carried by utilizing Dynamic Ordinary Least Square (DOLS) method. Initially, unit root test is tested by Augmented Dicky Fuller test and Phillips-Perron (PP) test, and long run relationship is studied by Johansen Cointegration test. The outcomes of the research show the influential contribution of population density, energy consumption on environmental decay in Pakistan. Likewise, the other elements, which plays significant role in pollution, are growth and trade. The results of the robustness check also endorse population density and energy consumption are contributing CO2 emission in Pakistan. Therefore, the study recommends that population control should be the target of the government and limit and introduce environmentally friendly sources of energy.

A cointegration analysis of structural change, international tourism and energy consumption on CO2 emission in Pakistan

ABSTRACT This study aims to inspect the impact of tourist’s arrivals, structural change, economic growth and energy use on carbon dioxide emissions in Pakistan over the period 1981–2017. The study based on unit root tests employed Autoregressive Distributed Lagged (ARDL) bounds and Bayer and Hanck [2013. Combining non-cointegration tests. Journal of Time Series Analysis, 34(1), 83–95. https://doi.org/10.1111/j.1467-9892.2012.00814.x] combined cointegration test and confirms the presence of long-run relationship between the variables. To estimate the short and long-run results the study employed ARDL model and found that structural changes, international tourism and energy consumption are at the cost of environmental quality. The study further applied VECM based Granger causality test and revealed unidirectional causality from international tourist’s arrivals, GDP and energy consumption towards CO2 emissions. This study suggests that the tourism in Pakistan should be on environmentally sustainable basis and the composition of economic activities should be more services oriented.

Do International Tourism, Structural Changes, Trade Openness, and Economic Growth Matter In Determining Co2Emissions In Pakistan?

The present study investigates the role of international tourist arrivals, structural change, consumption of energy, international trade, and economic growth on CO2emissions in Pakistan over a period of 1980–2017. The study employed ARDL model, which revealed that there is a strong positive long-run association between CO2emission and its determinants except for structural changes and trade that have no significant impact on CO2emissions. Results reveal that tourism activities in Pakistan are environment friendly and it can add to preserve the scenic areas and major visitors' spots in the country to attract more visitors to increase the revenue of the country. The study further applied Granger causality test and ratifies unidirectional causality from structural change, international tourist arrivals, and consumption of energy towards CO2except from international trade. Moreover, this study employed DOLS technique to get long-run robust estimates.

The impact of macroeconomic and financial development on carbon dioxide emissions in Pakistan: evidence with a novel dynamic simulated ARDL approach.

This paper has empirically explored the impact of macroeconomic and financial development on CO2 emissions by utilizing a novel dynamic simulated ARDL model for annual time series data from 1982 to 2018 for Pakistan. The results of a novel dynamic simulated ARDL disclosed that the growth of stock market, FDI, economic growth, and consumption of oil wield a positive impact on CO2 emission, while domestic credit exerts a negative effect on CO2 emission both in the short and the long run in Pakistan. The stock market development and domestic credit wield a significant influence on carbon dioxide emission in Pakistan both in the long and the short run. FDI exerts significant impact only in the long run, while economic growth and consumption of oil wield significant impact only in the short run on CO2 emission in Pakistan. This study opens up new visions for the economy of Pakistan to sustain financial and economic growth by protecting environment from pollution through its efficient national environmental policy, fiscal policy, and monetary policy.

Globalization and CO2 emissions nexus: evidence from the EKC hypothesis in South Asian countries.

In the last few decades, developing countries continued to increase their manufacturing industries' phenomenal growth rate. Due to the emergence of globalization, these developing countries are getting economic growth at the cost of environmental pollution. In this context, the extent of linkages between globalization and carbon dioxide (CO2) emissions has been investigated over the time period of 1972-2013 in South Asian countries. The econometric and graphical analyses are found U-shape association between globalization and CO2 emissions in Nepal, Afghanistan, Bangladesh, and Sri Lanka, and an inverted U-shape relationship is observed in Pakistan and Bhutan. Moreover, results have shown that there exists a bi-directional causality between globalization and CO2 emissions in Pakistan, Bangladesh, and Nepal. This indicates that globalization is increasing CO2 emissions and CO2 emissions impact globalization by economic growth. However, after some threshold level, globalization is responsible for decreasing CO2 emissions in Pakistan and Bhutan. For the first time, globalization is incorporated in the economic analysis, showing the U-shape and inverted U-shape associations between globalization and CO2 emissions. This study suggests some strong policy recommendations to consider globalization as cost-effective tool to achieve sustainable economic growth in South Asian countries.

Mitigation pathways impact of climate change and improving sustainable development: The roles of natural resources, income, and CO2 emission

Climate change is an obstacle in the path of sustainable economic development. One of the key findings in the economics literature is that the use of natural resources contributes to real income per capita. However, its environmental consequences should not be ignored. This paper examines the nexus among CO2 emission, real income, and natural resources, by incorporating urbanization, and trade in Pakistan from 1971 to 2017. The Auto-Regressive Distributive Lag (ARDL) and Vector Error Correction (VECM) models are used for analyzing time-series data. The empirical findings infer that the use of natural resources accelerates the rate of CO2 emission in Pakistan which worsens environmental quality. In addition, the Environmental Kuznets Curve (EKC) is confirmed in the presence of natural resource use. Besides, urbanization improves environmental quality through mitigating the level of CO2 emission. Moreover, the feedback hypothesis is found between the use of natural resources and CO2 emission. Additionally, bidirectional causality is found between urbanization and the use of natural resources. Overall, this study supports formulating new policies to overcome environmental degradation through energy-saving technologies.

Nexus between carbon emission, financial development, and access to electricity: Incorporating the role of natural resources and population growth

This study explores the nexus between financial development, access to electricity, and CO2 emissions in Pakistan over the period from 1990 to 2015, incorporating the role of natural resources and population growth. We checked the stationarity of the data by using three different unit root tests (ADF, Phillip Pesaran, and DG‐FLS). Long‐ and short‐run elasticities have been determined through auto‐regressive distributive lag (ARDL) method. The empirical results confirmed that financial development and access to electricity increase CO2 emissions and deteriorate the environmental quality. In addition, the population growth is responsible for growing CO2 emissions in Pakistan, while natural resources have insignificant relation with CO2 emissions. Furthermore, bidirectional causality exists between population growth and natural resources, whereas unidirectional causality is detected among financial development and CO2 emissions, natural resources and population growth, and financial development and population growth. The newly developed findings suggest helpful policy implications to adequately address the issue of CO2 emissions without compromising economic development.

Does Temperature Contribute to Environment Degradation? Pakistani Experience Based on Nonlinear Bounds Testing Approach

Many developing countries are acutely vulnerable to global climate changes. In Pakistan, carbon emissions are primarily contributed by the factor of energy production from oil, gas and coal. The objective of this study is to estimate the asymmetric impact of temperature, energy use, economic growth, water scarcity on CO2 emissions in Pakistan over their period of 1960–2016. Based on nonlinear bounds testing (NARDL) approach, it is confirmed that there is an asymmetric relationship between temperature and CO2 emission, while energy use, population growth and economic growth have a positive effect in the short run. In the long run, energy consumption and economic growth were found to increase emission, while a temperature decrease by 1 per cent leads to 5 per cent decrease in carbon emissions. Population and water availability also reduces emission in Pakistan. Further, the study also confirms the long-run relationship between the variables. The finding of the study noticeably supports the policy to increase renewable energy consumption.

The dynamic nonlinear influence of ICT, financial development, and institutional quality on CO2 emission in Pakistan: new insights from QARDL approach.

This novel research is an argumentative subject which was needed to be addressed and to fill this gap, the author examined the effect of financial development, information and communication technology, and institutional quality on CO2 emission in Pakistan by using quantile autoregressive distributed lag (QARDL) model. The data were obtained for the period from 1995Q1 to 2018Q4. In the long run, GDP and institutional quality have a positive impact on CO2 emission when this emission is already high, which shows that if the GDP and institutional quality increases, the CO2 emission also increases. Moreover, financial development and ICT has a negative impact on CO2 emission irrespective of emission level that whether it is high or low in the country, which shows that if financial enhancement and ICT increases, carbon emission decreases. The study also supported the EKC hypothesis in Pakistan.

Dynamic linkages between tourism, technology and CO2 emissions in Pakistan

ABSTRACT This study investigates the relationship between CO2 emissions and its determinants, namely, technological innovations (TIs), international tourism and economic growth for Pakistan between 1990 and 2017. The ARDL bounds and Bayer and Hanck tests of cointegration revealed that variables of the study are cointegrated in the long-run. Based on the findings of the study, it is concluded that technological innovation in the country could prove environment-friendly as improved technology could result in efficient production and less energy use, thus fewer emissions. Moreover, this study concluded that short and long-term gains in tourism and economic growth are at the cost of environmental quality which is neither feasible nor favourable looking into the SDGs.

On the asymmetric effects of premature deindustrialization on CO2 emissions: evidence from Pakistan.

In this modern era, environmental pollution is the biggest problem attached to industrialization. This study tries to ensure the relationship between industrialization and CO2 emissions in Pakistan for the time period 1980-2018 by using nonlinear ARDL model while controlling for urbanization, GDP, and human capital variables as a likely factor of CO2 emissions. Our foremost study objective is to examine whether or not the outcome of industrialization on CO2 emissions is symmetric or asymmetric for Pakistan that is one of the core suppliers to CO2 in South Asia, as the emissions were 0.82 million tons in 2018. Our result approves the presence of an asymmetric effect of industrialization shocks on CO2 emissions both in the short run and long run. The results reveal that industrialization increases emissions and deindustrialization decrease emissions, in short as well as long run, in Pakistan. Moreover, our finding also advises that urbanization and GDP variables have exerted a positive impact on CO2 emissions. Based on the findings, some policy suggestions are proposed for Pakistan.