Triangular relationship among energy consumption, air pollution and water resources in Pakistan

Khan, Muhammad Mushtaq; Zaman, Khalid; Irfan, Danish; Awan, Usama; Ali, Ghulam; Kyophilavong, Phouphet; Shahbaz, Muhammad; Naseem, Imran

doi:10.1016/j.jclepro.2015.01.094

Cited by 112 publications

(32 citation statements)

References 33 publications

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“…The other results indicate that there is a negative relationship between net forest depletion and CO 2 emissions, as if there is 1% increase in CO 2 emissions, net forest depletion is decreases by 0.385% points, while, there is a positive relationship between natural resource depletion and CO 2 emissions, as 1% increase in CO 2 emissions, natural resource depleted by 0.301% points. The results supported the findings of Rafindadi et al [35], Khan et al [36] etc. Rafindadi et al [35] concluded that natural resource rent and water resources both considerably increases along with increase CO 2 emissions in a panel of countries, whereas Khan et al [36] revealed that natural resource rents decreases along with increase CO 2 emissions in a short-run, while it increases subsequently with CO 2 emissions in a long-run.…”

Section: Resultssupporting

confidence: 91%

“… concluded that natural resource rent and water resources both considerably increases along with increase CO 2 emissions in a panel of countries, whereas Khan et al . revealed that natural resource rents decreases along with increase CO 2 emissions in a short‐run, while it increases subsequently with CO 2 emissions in a long‐run. Both the results confirmed the importance of natural resources in environmental sustainable development.…”

Section: Resultsmentioning

confidence: 99%

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Decomposing the linkages between energy consumption, air pollution, climate change, and natural resource depletion in Pakistan

Zaman

Abdullah

Ali³

2016

Env Prog and Sustain Energy

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This study aims at examining the causal relationship between energy consumption, natural resources, environmental pollution (i.e., CO2 emissions) and climate change (i.e., Greenhouse gas emissions ‐ GHG) in the context of Pakistan, over the period of 1975–2012. The study applied bivariate cointegration and Granger causality technique for robust inferences. The results show that energy demand increases gas rents, natural resource rents, and oil rents while it exhausts the natural resources. Natural resources further affected by air pollution and climate change in a country. The results of Granger causality indicate that there is a bidirectional causality between (i) energy consumption and net forest depletion, (ii) energy demand and oil rent, (iii) forest rents and CO2 emissions, (iv) natural resource depletion and GHG emissions, and (v) net forest depletion and GHG emissions, while, there is a unidirectional causality running from CO2 emissions to oil rents, from net forest depletion to CO2 emissions, and from GHG emissions to forest rent, mineral rent, natural gas rent, and oil rent in a country. Finally, the study confirmed the “neutrality hypothesis” between coal rent, natural resource rent, and GHG emissions in Pakistan. © 2016 American Institute of Chemical Engineers Environ Prog, 36: 638–648, 2017

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Section: Resultssupporting

confidence: 91%

Section: Resultsmentioning

confidence: 99%

Decomposing the linkages between energy consumption, air pollution, climate change, and natural resource depletion in Pakistan

Zaman

Abdullah

Ali³

2016

Env Prog and Sustain Energy

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“…In practice, this process operates in favour of developed countries. Otherwise, the evidence of trade openness effects on environmental degradation for individual countries varies by income, possibly due to policy differences, economic structure, level of economic openness, and country-specific variations (Baek et al, 2009;Wiebe et al, 2012;Mudakkar et al, 2013;Ozturk, 2015;Khan et al, 2016). Our study pays attention, through the analysis of the inflection points between the first and second points in the N-shaped EKC, to the argument that implies that trade liberalization supports the efficient use of resources while sustainable growth essentially contributes to environmental quality .…”

Section: Literature Reviewmentioning

confidence: 92%

How economic growth, renewable electricity and natural resources contribute to CO2 emissions?

et al. 2018

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This study explores the relationship between economic growth and CO2 emissions in the so-called European Union 5 (EU-5) countries (Germany, France, Italy, Spain, and the United Kingdom) for the 1985-2016 period. In doing so, we employ a carbon emission function to investigate the environmental Kuznets curve phenomenon, which describes a relationship between economic growth and environmental degradation. The empirical results confirm the existence of an N-shaped relationship between economic growth and CO2 emissions in the EU-5 countries. We incorporate additional variables such as renewable electricity consumption, trade openness, natural resource abundance, and energy innovation to augment the carbon emission function. Renewable electricity consumption, natural resources, and energy innovation improve environmental quality, while trade openness and the interaction between economic growth and renewable electricity consumption exert a positive impact on CO2 emissions. This study is novel in that it presents an interaction between economic growth and renewable electricity consumption. We also confirm the need for renewable energy regulations related to increasing renewable sources and promoting energy innovation to reduce the negative effects of energy and fossil energy resources on environmental degradation.

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“…For the past couple of decades, the energy crisis is hindering economic growth in the country. Amongst all energy resources, electricity have had received greater attention owing to fast growth in its demand [29]. The government is under considerable pressure to overcome energy crisis thereby investing in the sector and maintaining the economic growth at the same time [30].…”

Section: Historical Energy Demand and Supplymentioning

confidence: 99%

An Integrated Modeling Approach for Forecasting Long-Term Energy Demand in Pakistan

et al. 2017

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Abstract:Energy planning and policy development require an in-depth assessment of energy resources and long-term demand forecast estimates. Pakistan, unfortunately, lacks reliable data on its energy resources as well do not have dependable long-term energy demand forecasts. As a result, the policy makers could not come up with an effective energy policy in the history of the country. Energy demand forecast has attained greatest ever attention in the perspective of growing population and diminishing fossil fuel resources. In this study, Pakistan's energy demand forecast for electricity, natural gas, oil, coal and LPG across all the sectors of the economy have been undertaken. Three different energy demand forecasting methodologies, i.e., Autoregressive Integrated Moving Average (ARIMA), Holt-Winter and Long-range Energy Alternate Planning (LEAP) model were used. The demand forecast estimates of each of these methods were compared using annual energy demand data. The results of this study suggest that ARIMA is more appropriate for energy demand forecasting for Pakistan compared to Holt-Winter model and LEAP model. It is estimated that industrial sector's demand shall be highest in the year 2035 followed by transport and domestic sectors. The results further suggest that energy fuel mix will change considerably, such that oil will be the most highly consumed energy form (38.16%) followed by natural gas (36.57%), electricity (16.22%), coal (7.52%) and LPG (1.52%) in 2035. In view of higher demand forecast of fossil fuels consumption, this study recommends that government should take the initiative for harnessing renewable energy resources for meeting future energy demand to not only avert huge import bill but also achieving energy security and sustainability in the long run.

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Triangular relationship among energy consumption, air pollution and water resources in Pakistan

Cited by 112 publications

References 33 publications

Decomposing the linkages between energy consumption, air pollution, climate change, and natural resource depletion in Pakistan

Decomposing the linkages between energy consumption, air pollution, climate change, and natural resource depletion in Pakistan

How economic growth, renewable electricity and natural resources contribute to CO2 emissions?

An Integrated Modeling Approach for Forecasting Long-Term Energy Demand in Pakistan

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