Constructing meaningful environmental indices: A nonparametric frontier approach

Zhou, P.; Delmas, Magali A.; Kohli, Aanchal

doi:10.1016/j.jeem.2017.04.003

Cited by 76 publications

(15 citation statements)

References 39 publications

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“…The geometric mean proved to choose with a useful index with strictly positive and ratio-scale variables-criteria for information loss in the direction of alternate combination techniques designed to develop indices [39]. The author of [40] used a non-compensatory approach of aggregation and discussed its usefulness.…”

Section: Simultaneous Analysis Of Outputs and Inputs •mentioning

confidence: 99%

Reassessing the Environmental Kuznets Curve in Relation to Energy Efficiency and Economic Growth

et al. 2020

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Energy consumption and its efficiency are significant factors for economic growth and environmental stress. This study postulates the occurrence of the Environmental Kuznets Curve hypothesis (EKC) by using the Autoregressive-Distributed Lag (ARDL) model. Furthermore, a data envelopment analysis (DEA) model is used to measure energy efficiency, energy intensity, and environment to view the trajectory of EKC for the underline economies. For this purpose, a panel dataset from 1990–2013 of 15 developing countries is analyzed to verify the objectives mentioned above. The results of the panel ARDL support EKC’s theory for underline economies, as GDP positively impacts carbon emissions, while the square of GDP is negatively related. The DEA-based results found relatively low environmental conditions in these emerging economies due to high energy intensity and low energy efficiency. This outcome suggests that renewable energy sources must be treated as an essential factor for achieving sustainable economic goals without environmental degradation.

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Section: Simultaneous Analysis Of Outputs and Inputs •mentioning

confidence: 99%

Reassessing the Environmental Kuznets Curve in Relation to Energy Efficiency and Economic Growth

et al. 2020

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“…d. RAM-BoD-used by Zhou et al (2017) based on the output-oriented Range Adjusted DEA Model (Aida et al 1998) Table 2 shows the formulation of the traditional, SBM, and RAM BoD in the multipliers and envelopment form. Table 3 shows the original and linearized multiplicative BoD formulation in the multipliers and envelopment form.…”

Section: Bod Models and Extensionsmentioning

confidence: 99%

The Human Development Index with Multiple Data Envelopment Analysis Approaches: A Comparative Evaluation Using Social Network Analysis

2021

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The objective of this work is to use multiple Data Envelopment Analysis (DEA)/Benefit of the Doubt (BoD) approaches for the readjustment and exploitation of the Human Development Index (HDI). The HDI is the leading indicator for the vision of “development as freedom”; it is a Composite Index, wherein three dimensions (income, health, and education), represented by four indicators, are aggregated. The DEA-BoD approaches used in this work were: the traditional BoD; the Multiplicative BoD; the Slacks Based Measure (SBM) BoD; the Range Adjusted Model (RAM) BoD; weight restrictions; common weights; and tiebreaker methods. These approaches were applied to raw and normalized HDI data from 2018, to generate 40 different rankings for 189 countries. The resulting indexes were analyzed and compared using Social Network Analysis (SNA) and information derived from DEA itself (slacks, relative contributions, targets, relative targets and benchmarks). This paper presents useful DEA derived indexes that could be replicated in other contexts. In addition, it contributes by presenting a clearer picture of the differences between BoD models and offering a new way to appreciate the world's human development panorama.

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“…After standardization, the values of the three indicators are all between 0-1 so that they can be compared with each other: the standardization still preserves relative performance gaps between industries after standardization (Zhou et al, 2017).…”

Section: Construction Of Eccsmentioning

confidence: 99%

A dynamic and continuous allowances allocation methodology for the prevention of carbon leakage: Emission control coefficients

et al. 2019

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Carbon leakage has become the core issue of emission trading systems. Using data from Hubei Province, this paper identifies the drawbacks of the prevailing methods for preventing carbon leakage and proposes a new methodology to overcome them, namely, Emission Control Coefficients. In contrast to the common tiered structure method, we found that Emission Control Coefficients generate a dynamic and continuous emission control coefficient for each industry which will improve the effectiveness and fairness of allowance allocation, set aside sufficient time for the low carbon transformation of industries, and balance the needs to protect competitiveness and decarbonize and are particularly suitable for the emission trading systems of developing counties. This paper makes three main academic contributions: Firstly, this paper proposes a new indicator, the abatement potential. Secondly, this paper better distinguishes industrial differences. Thirdly, this paper can better respond to the problem of excess allowances due to technological advances and trade pattern changes.

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Constructing meaningful environmental indices: A nonparametric frontier approach

Cited by 76 publications

References 39 publications

Reassessing the Environmental Kuznets Curve in Relation to Energy Efficiency and Economic Growth

Reassessing the Environmental Kuznets Curve in Relation to Energy Efficiency and Economic Growth

The Human Development Index with Multiple Data Envelopment Analysis Approaches: A Comparative Evaluation Using Social Network Analysis

A dynamic and continuous allowances allocation methodology for the prevention of carbon leakage: Emission control coefficients

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