Literature DB >> 32548746

Trilemma assessment of energy intensity, efficiency, and environmental index: evidence from BRICS countries.

Zulifqar Ali Baloch1, Qingmei Tan1, Nadeem Iqbal2, Muhammad Mohsin3, Qaiser Abbas4, Wasim Iqbal5, Imran Sharif Chaudhry6.   

Abstract

This paper provides an assessment of energy density and energy efficiency and creates an important indicator of environmental performance. This article applied two mathematical models and econometric techniques to obtain detailed and specific results. The DEA and the non-normative account aggregation mean a collective aggregation to form a mathematical aggregation tool to create an environmental index for the BRICS countries (Brazil, Russia, India, China, and South Africa) based on available data from 2011 to 2016. The advantage of the proposed approach is to manage the irregularities of the data and follow the desired properties of the index number. The current paper is relevant for the broad scope of construction, the environmental index, and the evolution of the rankings of countries based on multiple indicators. Our results indicate that Brazil and Russia have the highest values of the Environmental Performance Index, which range between 67.44 and 60.70, respectively. India has a minimum value of 30.57 of the environmental index. The analysis shows that Brazil, Russia, and South Africa have the best scores and that these countries have the best results, while China and India also have the best results. This study can help form a valuable political tool for the development and development of the country's politics.

Entities:  

Keywords:  BRICS; Data envelopment analysis; Efficiency; Environmental index measurability

Mesh:

Year:  2020        PMID: 32548746     DOI: 10.1007/s11356-020-09578-3

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  12 in total

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10.  Nexus between green finance and climate change mitigation in N-11 and BRICS countries: empirical estimation through difference in differences (DID) approach.

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