RETRACTED: Modeling the causal relationship between energy and growth factors: Journey towards sustainable development

Mumtaz, Rehma; Zaman, Khalid; Sajjad, Faiza; Lodhi, Muhammad Saeed; Irfan, Muhammad; Khan, Imran; Naseem, Imran

doi:10.1016/j.renene.2013.09.033

Cited by 25 publications

(7 citation statements)

References 34 publications

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“…The authors have added two more cases to this list, one giving special importance to the three emissions functions (F 2 , F 3 , 1,1,1,1,1) are considered as the baseline. Once this baseline is obtained, then the other cases will be taken into account to give some special relative importance to any of the six functions or even to address some different weights to be applied if necessary [15,16,23,24]. The results show that PV and BEG stay at their minimum potential value independently of the chosen weights, while the four biomass variables (BT I , BT H , BT HE and BT C ) reach approximately their maximum potential value, except for the two cases where the economic factor is given a certain weight versus the other functions.…”

Section: Resultsmentioning

confidence: 99%

Sustainable and renewable implementation multi-criteria energy model (SRIME)—case study: Sri Lanka

Domínguez-Dafauce

Martín

2015

Int J Energy Environ Eng

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Sustainable and renewable are certainly very appreciated terms nowadays. These words may summarize a whole new attitude towards our world and the people who live in it. This paper's goal is to define an original multicriteria energy model, named SRIME, specially designed for developing countries. First, an extensive research will be carried out on: energy demand; potential renewable energy, its current know-how and potential future development; potential avoided emissions (CO 2 , NO X , SO 2 ); and the possible international support versus the in-country possibilities. The precedence constraints will be applied to establish in which degree renewable energy may be substituting for the fossil fuel: the purely economic approach will give way to a sustainable, renewable, development focused energy planning. It must be noted that an innovative function has been specifically included in the SRIME, which evaluates, applying the precedence constraints, the influence renewable energy may have on developing countries rural health and education. Six functions have been established: replaceable amount of fossil energy; CO 2 , NO X and SO 2 avoidable emissions; rural health and education development maximization; and the cost function. These functions will be optimized through the Chebyshev distance (L ? ) compromise programming minimization, so that the Pareto optimal solution may be obtained.

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Section: Resultsmentioning

confidence: 99%

Sustainable and renewable implementation multi-criteria energy model (SRIME)—case study: Sri Lanka

Domínguez-Dafauce

Martín

2015

Int J Energy Environ Eng

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“…However, Lozano and Gutiérrez (2008) found that economic growth and energy intensity were major factors affecting CO 2 emission in the US. In addition, one way causality was found from energy consumption to a number of growth factors with no feedback in Pakistan (Mumtaz, 2014). The relationship between energy consumption and Zaman et al (2011); they found bidirectional causality between energy consumption and development factors.…”

Section: Literature Reviewmentioning

confidence: 97%

The Impact of Biofuel Energy Consumption on GDP Growth, Co₂Emission, Agricultural Crop Prices, and Agricultural Production

Al‐mulali

2014

International Journal of Green Energy

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This study investigates the impact of biofuel energy on economic growth, pollution, agriculture price level, and total agriculture production in 16 major biofuel energy consuming countries. The panel model is used in this study taking the period 2000-2010. The results show that biofuel energy increases GDP growth and reduces the level of pollution. However, it increases both agriculture production and agriculture crop prices. Since biofuel energy promotes GDP growth and reduces the level of pollution, it is recommended that these countries should conduct strategies to increase their biofuel energy without causing an increase in agriculture price level.

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“…He et al [11] estimate the effect of industrial dynamics and foreign direct investment on environmental performance. Mumtaz et al [12] consider the relationship between changes in the main macroeconomic indicators and changes in electricity consumption. Tantau et al [13] build a panel regression model to investigate the dependence between municipal recycling rates, materials recycling rates, R&D costs, trade volumes of processed raw materials, and revenues from environmental taxes.…”

Section: Theoretical Approaches To Assessing the Environmental Impact On Economic Developmentmentioning

confidence: 99%

Environmental intensity of economic growth in the Baltic Sea region

Tretyakova¹

2019

Balt. Reg.

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RETRACTED: Modeling the causal relationship between energy and growth factors: Journey towards sustainable development

Cited by 25 publications

References 34 publications

Sustainable and renewable implementation multi-criteria energy model (SRIME)—case study: Sri Lanka

Sustainable and renewable implementation multi-criteria energy model (SRIME)—case study: Sri Lanka

The Impact of Biofuel Energy Consumption on GDP Growth, Co₂Emission, Agricultural Crop Prices, and Agricultural Production

Environmental intensity of economic growth in the Baltic Sea region

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RETRACTED: Modeling the causal relationship between energy and growth factors: Journey towards sustainable development

Cited by 25 publications

References 34 publications

Sustainable and renewable implementation multi-criteria energy model (SRIME)—case study: Sri Lanka

Sustainable and renewable implementation multi-criteria energy model (SRIME)—case study: Sri Lanka

The Impact of Biofuel Energy Consumption on GDP Growth, Co2Emission, Agricultural Crop Prices, and Agricultural Production

Environmental intensity of economic growth in the Baltic Sea region

Contact Info

Product

Resources

About

The Impact of Biofuel Energy Consumption on GDP Growth, Co₂Emission, Agricultural Crop Prices, and Agricultural Production