Environmental performance evaluation: A state-level DEA analysis

Avilés-Sacoto, Estefanía Caridad; Avilés-Sacoto, Sonia Valeria; Güemes‐Castorena, David; Cook, Wade D.

doi:10.1016/j.seps.2021.101082

Cited by 18 publications

(7 citation statements)

References 18 publications

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“…For the first stage, multi-inputs and outputs shall be employed to evaluate the coupling or decoupling effects on energy and environment (E&E) analysis, based on the comparative results in Table 1. [4][5][6][7][8][9][10][11][12][13] Since the data envelope analysis (DEA) is the leading choice for handling multi-inputs/outputs models, our research utilizes this approach. It does not need any specific form of the production function for this multi-inputs/outputs model.…”

Section: Literature Review 21 Models and Variables Of The Environemnt...mentioning

confidence: 99%

Urbanization Paradox of Environmental Policies in Korean Local Governments

Choi

Lee

Jeong

et al. 2023

Land

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Many developing countries have been experiencing the problems of urbanization, particularly regarding carbon emission and polluted air emission mitigation. Is it possible to simultaneously achieve these two different clean and green economic strategies? This study analyzes this paradoxical issue of air pollution in terms of PM2.5 efficiency. To evaluate the performance of regulatory policies on air pollution and to find out the governance factors, this paper adopts the stepwise approach. In the first stage, we evaluate the cross-sectional PM2.5 efficiency of 16 Korean municipalities for the period between 2012 and 2017 and determine whether this performance is sustainable using the Malmquist Productivity Index (MPI). We concluded that most local governments lack sustainable governance on regulation policies for clean air. Using the Tobit model in the second stage, this study showed that regional economic development (GRDP) and an patent for clean air technology innovation are the most important strategic factors that promote sustainability in regulation policy performance.

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Section: Literature Review 21 Models and Variables Of The Environemnt...mentioning

confidence: 99%

Urbanization Paradox of Environmental Policies in Korean Local Governments

Choi

Lee

Jeong

et al. 2023

Land

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show abstract

“…It showed the usage of DEA methodology on the country level, as well as efficiency scores comparison with ROA. A state-level environmental performance analysis using DEA models was carried out by Avilés-Sacoto et al (2021). It showed a performance measurement using data without explicit relation between the DEA model inputs and outputs applied to environmental performance measurement.…”

Section: Literature Reviewmentioning

confidence: 99%

A Longitudinal Analysis of Economic Activities’ Relative Efficiency Using the DEA Approach

Zenzerović,

Rabar,

Černe

2023

Economies

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Economic activities’ efficiency represents the level of performance that uses the lowest quantity of inputs to achieve the highest possible amount of output. This paper presents the process of calculating the relative efficiency of separate non-financial activities in an economy using the DEA methodology. The purpose of this paper was to create the DEA model for monitoring the relative efficiency of individual non-financial activities of the economy. The purpose was achieved through the realization of two objectives. The first one included the determination of the relative efficiency of the above-mentioned activities in the period from 2002 to 2020 using the data from non-financial entities in the Republic of Croatia. The second objective consisted of ranking the economic activities according to their relative efficiency. An output variable that measures the efficiency was presented using the return on assets, while the total debt to EBITDA, EBITDA per employee, assets turnover and human capital efficiency were used as input variables. Research results indicate that the DEA methodology could be used as an economic activity’s relative efficiency measurement tool, giving the possibility to rank it according to its relative efficiency using the accounting ratios. Research results show that service sectors’ economic activities were the most efficient ones according to the lower assets engagement and the respective sources of financing that dominate. The highest average relative efficiency in 19 years was scored using wholesale, retail and repair activities as well as information, communication and education. The lowest average relative efficiency was achieved in construction, water supply, sewerage, waste management and remediation activities as well as accommodation and food service activities, which is the consequence of their low level of activity and profitability and high indebtedness in the analyzed period. The relative efficiency scores calculated using the DEA methodology could be used as a benchmark for companies on a micro level, while on the macro level decision-makers can obtain a deeper insight into the relative efficiency of the nonfinancial activities.

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“…In the calculation of GE, Single-Factor Index, Total Factor Index and Comprehensive Evaluation Index are the main calculation methods, but the accuracy of Single Factor Index and Comprehensive Evaluation Index is insufficient (Imanov, 2015). The nonparametric analysis represented by DEA and parametric analysis represented by stochastic frontier analysis (SFA) are the main methods for calculating green total factor productivity (Avilés-Sacoto et al ., 2021; Tan et al. , 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of income gap on regional green economic growth – evidence from 283 prefecture-level cities in China

Hou

Song²,

Dai³

2022

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PurposeThis paper aims to research the relationship between income gap (IG) and green economic growth based on the perspective of economic inequality.Design/methodology/approachBased on the panel data of 283 prefecture-level cities in China from 2011 to 2020, this paper uses the super slack based model (Super-SBM) to measure the efficiency of regional green economic growth, and constructs a regression model of the IG and regional green economic growth.FindingsFirstly, the IG has an inhibitory effect on the growth of regional green economy (GE). Secondly, the relationship between the IG and regional green economic growth will be affected by the threshold value of income level. Thirdly, environmental regulation and government competition will increase the inhibitory effect of the IG.Originality/valueAccording to the characteristics of China's regional economy, the researchers construct an empirical model of the IG and green economic growth to study their relationship, the threshold effect of income level and the moderating effect of environmental regulation and local government competition. The research content, methods and conclusions of this paper provide new evidence for the sustainable growth of China's regional GE.

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Environmental performance evaluation: A state-level DEA analysis

Cited by 18 publications

References 18 publications

Urbanization Paradox of Environmental Policies in Korean Local Governments

Urbanization Paradox of Environmental Policies in Korean Local Governments

A Longitudinal Analysis of Economic Activities’ Relative Efficiency Using the DEA Approach

The impact of income gap on regional green economic growth – evidence from 283 prefecture-level cities in China

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