Revisiting Energy Consumption and GDP: Evidence from Dynamic Panel Data Analysis

Nayan, Sabri; Kadir, Norsiah; Ahmad, Mahyudin; Abdullah, Mat Saad

doi:10.1016/s2212-5671(13)00216-5

Cited by 31 publications

(18 citation statements)

References 6 publications

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“…System GMM also introduces instrumental variables to deal with endogeneity. Furthermore, Nayan, Kadir and Abdullah (2013) concur that for robust estimation, system GMM is the superior estimator.…”

Section: Empirical Results and Discussionsupporting

confidence: 53%

Human capital and economic growth in South Africa: A cross-municipality panel data analysis

Ngepah

Saba

Mabindisa

2021

South African Journal of Economic and management Sciences

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Background:In the literature, human capital has been identified as a key economic variable that is needed to promote growth; hence this study explores the components of human capital, that is, different skill levels in order to capture the real effect of the employed labour on economic output across the municipalities of South Africa.Aim: This study investigates the effect of human capital of employed labour on economic output and growth in South Africa.Setting: The study focuses on the balanced panel of 269 South African municipalities for the period 1993 to 2016.Methods: The study utilises panel causality test and the generalised method of moments estimation techniques.Results: A panel causality test confirms bidirectional causality between human capital and total output, as well as between total employment and total output. The resultant aggregate findings suggest that human capital has a positive and a significant impact both on total output and economic growth. The disaggregated proxy of human capital shows that higher levels of skilled employment is associated with higher total output and economic growth.Conclusion: The findings of the effect of skilled employment on economic growth are in line with theoretical literature and therefore the study concludes that human capital in the form of skilled labour has a positive effect on both economic output and growth in South Africa. This informs policy to prioritise the upskilling of the labour force in order to contribute positively towards value-generating economic activities in South Africa.

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Section: Empirical Results and Discussionsupporting

confidence: 53%

Human capital and economic growth in South Africa: A cross-municipality panel data analysis

Ngepah

Saba

Mabindisa

2021

South African Journal of Economic and management Sciences

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“…Thus, the model provides the robust coefficients through the automatic correction of biasness. Several researchers such as Leve and Kapingura [68], Meraya et al [69] and Nayan et al [70] have employed the GMM.…”

Section: Estimation Techniquementioning

confidence: 99%

The Environmental Influence of Tax Regimes in Selected European Union Economies

Ganda¹,

Garidzirai²

2021

Green Computing Technologies and Computing Industry in 2021

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Eurostat and the European Environmental Agency have in 2019 reported there is still need to continue implementing zero-carbon practices in European Union (EU) Countries although there has been a noted decrease of 22% in emissions when compared to their 1990 levels. This paper employed a system-Generalised Method of Moments (GMM) framework to evaluate the environmental impacts of tax systems in selected 28 EU economies from 2010 to 2017. The results of the study proved that aggregate environmental tax is not effectively lowering greenhouse gas emissions as expected, although it improves environmental sustainability. Possibly the environment tax revenue collected in the European Union countries was not used to enhance energy efficiency; hence it could not lower greenhouse gas emissions. The other findings demonstrate that when environmental tax is disaggregated (energy tax and transport tax) these instruments have been more efficient in lessening emissions and also improves environmental sustainability (in the case of transport tax). The paper, therefore, highlights the importance of adopting green tax instruments which are more focused and harmonising directly with environmental goals for EU economies.

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“…The authors received no financial support for the research, authorship, and/or publication of this article. 36 As this paper is not intended to discuss more on the evolution of DPD, we leave this for other researchers. d. Since the dynamic panel data model has been estimated with two lag variables and both were transformed to natural log (see equation ( 1)) and we have considered four decimal places of lag variables coefficients while calculating the while calculating percentage effect of EPOLICY variable.…”

Section: Declaration Of Conflicting Interestsmentioning

confidence: 99%

“… c The DPD was earlier developed by Holtz-Eakin et al. 36 As this paper is not intended to discuss more on the evolution of DPD, we leave this for other researchers.…”

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confidence: 99%

Do energy efficiency building codes help minimize the efficiency gap in the U.S.? A dynamic panel data approach

Koirala

Bohara

2020

Energy & Environment

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This study estimates the effects of energy efficiency policy in the residential sector using panel data of 48 contiguous states starting from 1970 to 2017. To avoid any unobserved heterogeneity and facilitate efficiency in estimation, this study employs a Dynamic Panel Data model with a two-step Generalized Method of Moments technique. The results suggest that energy efficiency policy for the residential sector has saved about 8.6 percent in energy consumption, which is about 22 percent of the total stated saving, leaving an energy efficiency gap of 1.5771 quadrillion Btu. Consistent with previous estimations, this study finds that theoretical saving amounts overestimate energy efficiency output and overinflate the increase in potential energy efficiency by about 32 percent. Since energy efficiency policy has failed to achieve the stated amount of saving in the residential sector, households have no incentive to adopt the energy efficiency policy, which has created an unusual gap in energy efficiency.

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Revisiting Energy Consumption and GDP: Evidence from Dynamic Panel Data Analysis

Cited by 31 publications

References 6 publications

Human capital and economic growth in South Africa: A cross-municipality panel data analysis

Human capital and economic growth in South Africa: A cross-municipality panel data analysis

The Environmental Influence of Tax Regimes in Selected European Union Economies

Do energy efficiency building codes help minimize the efficiency gap in the U.S.? A dynamic panel data approach

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