Role of Energy in Economic Growth of Pakistan (1972-2015)

Ali, Sher; Wahid, Fazle; Ali, Abid

doi:10.31703/gssr.2019(iv-ii).21

Cited by 4 publications

(4 citation statements)

References 6 publications

(7 reference statements)

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“…The coefficient of GDP is statistically significant. The sign of the variable is in conformity with Ali et al (2019), Alberinia (2011) Population (pop) directly affects electricity consumption. The implication of the result shows that 1 % increase in population will bring 0.691 % increase in electricity consumption.…”

Section: Estimation Of Determinants Of Total Electricity Consumptionmentioning

confidence: 96%

“…econometric modeling of energy demand the following studies provide base i.e.Filippini and Pachauri (2004),Geem (2011),Kankal et al (2011),Khan and Qayyum (2008), Shurva (2011) andAli et al (2019). They expressed energy especially electricity demand as double and single log linear function of explanatory variables.LnTEC= b 0 + b 1 LnGDP + b 2 LnPOP + b 3 LnSPE + b 4 LnTEMP + b 5 LnQIM + U t Where, TEC represent Total Electricity Energy Consumptions (Ghw), GDP stands for Gross Domestic Product (Rs.bn), POP shows Population (in billions), SPE indicate Average Sale of Electricity (Paisa), TEMP represent Temperature in Degree Celsius, and QIM shows Quantum of Manufacturing Index…”

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confidence: 99%

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The Determinants and Forecasting of Electricity Consumption in Pakistan

Wahid¹,

Ullah²,

Ali³

et al. 2020

IJEEP

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The current study examined the determinants of electricity consumption and also intends to forecast the electricity consumption in Pakistan. The study has used time series data analysis, applied Johansen Cointegration Test, error correction mechanisms and regression for examining determinants and autoregressive integrated moving average model is used for forecasting. The study has used times series secondary annual data on different variables for the period ranging from 1970 to 2018. The results of the study showed that gross domestic product and population have positive impact on electricity consumption. Whereas, National output (GDP) is statistically significant in the determination of total electricity consumption. The results also indicated that increase in the real economic activities has increases the total electricity consumption. Furthermore, the results of electricity consumption model also suggest that electricity price have negative impact on total electricity consumption. As electricity demand is inelastic to electricity price and income, it indicates that fewer substitutes of electricity are available in the market. Hence electricity is essential component of energy for economy. The results of the current study can be useful for the policymakers and government regulatory bodies relating to electricity.

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Section: Estimation Of Determinants Of Total Electricity Consumptionmentioning

confidence: 96%

mentioning

confidence: 99%

The Determinants and Forecasting of Electricity Consumption in Pakistan

Wahid¹,

Ullah²,

Ali³

et al. 2020

IJEEP

Self Cite

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“…The cement industry is a major sector in Pakistan, and it is playing a vital role in the economic development of the country (Ali, 2015), however, it also has a greater impact on the environment.…”

Section: Cementmentioning

confidence: 99%

Research Anthology on Developing Socially Responsible Businesses

2022

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This paper aims to deepen understanding of trends in corporate social responsibility reporting (CSRR) practices in Pakistan since the introduction of voluntary reporting guidelines in 2009 by the Securities and Exchange Commission Pakistan (SECP) and their updating in 2013. Quantitative content analysis was applied to CSRR for the Chemicals, Oil and Gas, Banking, Cement and Manufacturing industries in Pakistan. The results were benchmarked to the guidelines issued on social and environmental aspects by the SECP. It was found that the reports issued by the highly polluting industries such as oil and gas, cement, and chemical industries reported significantly higher levels of information than the other sectors. The results indicate the appropriateness of industry-specific reporting and suggest, in line with local guidelines, that further standardisation is required to level the playing field of CSRR in Pakistan.

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“…Today's fundamental demand fulfillment depends on the energy sector's contribution both directly and indirectly. Proper use and management of the energy sector may thus be a solution for feeding and protecting the people of the globe [60,61]. A low-carbon energy transition helps mitigate climate change, reduce air pollution, and slow the depletion of fossil fuels.…”

Section: Literature Reviewmentioning

confidence: 99%

The Energy Mix Dilemma and Environmental Sustainability: Interaction among Greenhouse Gas Emissions, Nuclear Energy, Urban Agglomeration, and Economic Growth

Rehman

Rădulescu

et al. 2021

Energies

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In this paper we examined the interaction between greenhouse gas emissions, nuclear energy, coal energy, urban agglomeration, and economic growth in Pakistan by utilizing time series data during 1972–2019. The stationarity of the variables was tested through unit root tests, while the ARDL (autoregressive distributed lag) method with long and short-run estimations was applied to reveal the linkages between variables. A unidirectional association between all variables was revealed by performing a Granger causality test under the vector error correction model (VECM) that was extracted during the short-run estimate. Furthermore, the stepwise least squares technique was also utilized to check the robustness of the variables. The findings of long-run estimations showed that GHG emissions, coal energy, and urban agglomeration have an adversative association with economic growth in Pakistan, while nuclear energy showed a dynamic association with the economic growth. The outcomes of short-run estimations also show that nuclear energy has a constructive association with economic growth, while the remaining variables exposed an adversative linkage to economic growth in Pakistan. Similarly, the Granger causality test under the vector error correction model (VECM) outcomes exposes that all variables have unidirectional association. Furthermore, the outcomes of the stepwise least squares technique reveals that GHG emissions and coal energy have an adverse association with economic growth, and variables nuclear energy and urban agglomeration have a productive linkage to the economic growth in Pakistan. GHG emissions are no doubt an emerging issue globally; therefore, conservative policies and financial support are needed to tackle this issue. Despite the fact that Pakistan contributes less to greenhouse gas emissions than industrialized countries, the government must implement new policies to address this problem in order to contribute to environmental sustainability while also enhancing economic development.

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Role of Energy in Economic Growth of Pakistan (1972-2015)

Cited by 4 publications

References 6 publications

The Determinants and Forecasting of Electricity Consumption in Pakistan

The Determinants and Forecasting of Electricity Consumption in Pakistan

Research Anthology on Developing Socially Responsible Businesses

The Energy Mix Dilemma and Environmental Sustainability: Interaction among Greenhouse Gas Emissions, Nuclear Energy, Urban Agglomeration, and Economic Growth

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