Evidence map›Paper›PMID 34080117›Full record

ArticleEnvironmental science and pollution research international2021

The role of energy efficiency and energy diversity in reducing carbon emissions: empirical evidence on the long-run trade-off or synergy in emerging economies.

Barsha Nibedita, Mohd Irfan

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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Factors influencing embodied energy trade between the Belt and Road countries: a gravity approach.Environmental science and pollution research international · 2022
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Barsha NibeditaDepartment of Management Studies, Indian Institute of Technology (Indian School of Mines) Dhanbad, Dhanbad, Jharkhand, 826004, India.
Mohd IrfanDepartment of Management Studies, Indian Institute of Technology (Indian School of Mines) Dhanbad, Dhanbad, Jharkhand, 826004, India. irfan@iitism.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Energy efficiency is often argued as a low-cost carbon emission mitigation strategy than energy diversity for emerging economies. Thus, deviations from carbon emission reduction goals due to diminished energy diversity may partially be compensated by energy efficiency improvements. This urgently requires an empirical analysis of carbon emission reduction impact of energy efficiency and energy diversity along with an investigation of any spillover effects. This study, therefore, investigates the long-run implications of energy efficiency and energy diversity on carbon emissions for emerging economies, covering the period 1990-2017. The long-run effect of energy efficiency on energy diversity and vice-versa is also examined to uncover any trade-off or synergy. The sample panel consists of the biggest seven emerging economies including, Brazil, China, India, Indonesia, Mexico, Russia, and Turkey. The empirical analysis is based on an augmented environmental Kuznets curve model, estimated using the panel autoregressive distributed lag modeling technique. The results corroborate the argument that energy efficiency is an effective low-carbon strategy than energy diversity in the long run. Specifically, a 1% increase in energy efficiency and energy diversity reduces carbon emissions by 1.2% and 0.5%, respectively. Moreover, it is also revealed that the long-run impact of energy diversity on energy efficiency is negative, suggesting that a 1% increase in energy diversity reduces energy efficiency by 0.3%. This evidence uncovers a trade-off between these two strategies in the long-run. However, the long-run impact of energy efficiency on energy diversity is insignificant. These findings suggest that both low-carbon strategies must be promoted in tandem by considering the long-run trade-off between energy diversity and energy efficiency in emerging economies.

Indexed as

CarbonEconomic DevelopmentCarbon DioxideChinaConservation of Energy ResourcesCarbonCarbon DioxideCarbon emissionsEmerging economiesEnergy diversityEnergy efficiencyPanel autoregressive distributed lag model

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.