Sustainable Energy Development in Saudi Arabia

Belloumi, Mounir; Alshehry, Atef Saad

doi:10.3390/su7055153

Cited by 19 publications

(10 citation statements)

References 49 publications

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“…Policy recommendation in this literature, if at all given, follow a standard green growth repertoire. Some studies which found that growth in energy use Granger-causes GDP growth even argued that saving energy should be viewed cautiously as a policy goal, as it could threaten GDP growth (Yu 2012, Belloumi andAlshehry 2015). Figure 1 summarizes the strategies and policy recommendations given in the articles according to their frequency.…”

Section: Strategies For Decoupling-green Growth Versus Degrowthmentioning

confidence: 99%

A systematic review of the evidence on decoupling of GDP, resource use and GHG emissions, part II: synthesizing the insights

Haberl

Wiedenhofer

Virág

et al. 2020

Environ. Res. Lett.

488

239

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Strategies toward ambitious climate targets usually rely on the concept of 'decoupling'; that is, they aim at promoting economic growth while reducing the use of natural resources and GHG emissions. GDP growth coinciding with absolute reductions in emissions or resource use is denoted as 'absolute decoupling' , as opposed to 'relative decoupling' , where resource use or emissions increase less so than does GDP. Based on the bibliometric mapping in part I (Wiedenhofer et al, 2020 Environ. Res. Lett. 15 063002), we synthesize the evidence emerging from the selected 835 peer-reviewed articles. We evaluate empirical studies of decoupling related to final/useful energy, exergy, use of material resources, as well as CO 2 and total GHG emissions. We find that relative decoupling is frequent for material use as well as GHG and CO 2 emissions but not for useful exergy, a quality-based measure of energy use. Primary energy can be decoupled from GDP largely to the extent to which the conversion of primary energy to useful exergy is improved. Examples of absolute long-term decoupling are rare, but recently some industrialized countries have decoupled GDP from both production-and, weaklier, consumption-based CO 2 emissions. We analyze policies or strategies in the decoupling literature by classifying them into three groups:(1) Green growth, if sufficient reductions of resource use or emissions were deemed possible without altering the growth trajectory.(2) Degrowth, if reductions of resource use or emissions were given priority over GDP growth. (3) Others, e.g. if the role of energy for GDP growth was analyzed without reference to climate change mitigation. We conclude that large rapid absolute reductions of resource use and GHG emissions cannot be achieved through observed decoupling rates, hence decoupling needs to be complemented by sufficiency-oriented strategies and strict enforcement of absolute reduction targets. More research is needed on interdependencies between wellbeing, resources and emissions.

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Section: Strategies For Decoupling-green Growth Versus Degrowthmentioning

confidence: 99%

A systematic review of the evidence on decoupling of GDP, resource use and GHG emissions, part II: synthesizing the insights

Haberl

Wiedenhofer

Virág

et al. 2020

Environ. Res. Lett.

488

239

View full text Add to dashboard Cite

show abstract

“…For this purpose, we used the Akaike Information Criterion (AIC). It is clear from the Graph 1, that the model ARDL(4,0,0) is the optimal model since it has the lowest AIC criterion (for more details see Belloumi (2014) and Belloumi and Alshehry (2015)). Now, we move towards determining the cointegrating relationship among the variables.…”

Section: Ardl Bounds Testing To Cointegrationmentioning

confidence: 99%

Cointegration Relationship between Growth, Inequality and Poverty In Tunisia

Khemili

Belloumi

2018

International Journal of Applied Economics, Finance and Account

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The aim of this paper is to investigate the direction of causality between poverty, inequality and economic growth in Tunisia using time series data covering the period 1970-2013. We use in this paper the ARDL bound testing approach to cointegration and Toda and Yamamoto (1995) modification of the Granger causality test. The result of bound testing reveals that there is an evidence of long-run relationship among the variables. In long term, we conclude that there is a positive relationship between income inequality and poverty. However, in the short-run there is a positive relation between inequality and growth to poverty. The results of Toda and Yamamoto indicate that there is a unidirectional causal relationship running from economic growth to poverty. We, therefore, recommend that governments should intense efforts in reinforcement the economic growth and should pay attention on its sustainability. In addition, we found unidirectional causality between poverty and inequality. However, on the other hand, the results of this paper indicate a bidirectional causality between inequality and economic growth. Therefore, the political leaders should focus their efforts on the middle class and poorest to reduce inequality and, therefore, support the growth that can reduce poverty.

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“…However, when the value of the F-statistic is inferior to the lower critical value, we accept the null hypothesis and we conclude that the variables are not cointegrated. Lastly, when the F-statistic lies between both critical values, we cannot conclude (Belloumi and Alshehry 2015).…”

Section: Ardl Bounds Testing Cointegrationmentioning

confidence: 99%

“…When the results show that the variables are cointegrated, we estimate the long-run relationship equations, as well as the restricted error correction models given by Equations (5)- (8) to determine the dynamics of the short-run and the speed of adjustment (Belloumi and Alshehry 2015):…”

Section: Long Run Granger Causality Testmentioning

confidence: 99%

The Impacts of Domestic and Foreign Direct Investments on Economic Growth in Saudi Arabia

Belloumi

Alshehry

2018

Economies

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This paper investigates the causal links between domestic capital investment, foreign direct investment (FDI), and economic growth in Saudi Arabia over the period 1970-2015 by using the autoregressive distributed lag (ARDL) bounds testing to cointegration approach. The fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and the canonical cointegrating regression (CCR) are employed to check the robustness of the ARDL long run estimates. The results show that in the long term there are negative bidirectional causality between non-oil GDP growth and FDI, negative bidirectional causality between non-oil GDP growth and domestic capital investment, and bidirectional causality between FDI and domestic capital investment. FDI affects negatively domestic capital investment in the short run, whereas domestic capital investment affects negatively FDI in the long run. Both finance development and trade openness affect positively non-oil GDP growth, FDI inflows and domestic capital investment in the long run. The findings are important for Saudi policy makers to undertake the effective policies that can promote and lead domestic and foreign investments to enhance economic growth in the country.

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Sustainable Energy Development in Saudi Arabia

Cited by 19 publications

References 49 publications

A systematic review of the evidence on decoupling of GDP, resource use and GHG emissions, part II: synthesizing the insights

A systematic review of the evidence on decoupling of GDP, resource use and GHG emissions, part II: synthesizing the insights

Cointegration Relationship between Growth, Inequality and Poverty In Tunisia

The Impacts of Domestic and Foreign Direct Investments on Economic Growth in Saudi Arabia

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