Determinants of Environmental Efficiency of the EU Countries Using Two-Step DEA Approach

Lacko, Roman; Hajduová, Zuzana

doi:10.3390/su10103525

Cited by 27 publications

(27 citation statements)

References 38 publications

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“…We designed this model based on the results of the analysis but based on EU objectives and a thorough knowledge of waste management in the Slovak Republic. Slovakia is one of the weaker countries in terms of environmental efficiency, along with neighboring countries that are also EU Member States [16,40,41]. The implementation of such a proposed conceptual model is demanding in terms of personnel and financial resources.…”

Section: Discussionmentioning

confidence: 99%

“…In the same year, an Environmental Protection Agency was established in the United States, whose guidelines had a huge impact on the development of theories and practices in global environmental policies. It is the documents that have started to solve the problems of our planet comprehensively, globally, and there is an initial desire for efficient resource management [16]. In the course of history, individual approaches have changed, many authors have argued that there is no sustainable development, that it is only abstraction, others have brought solutions.…”

Section: Introductionmentioning

confidence: 99%

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The Circular Model in Disposal with Municipal Waste. A Case Study of Slovakia

Pavolová

Lacko

Hajduová

et al. 2020

IJERPH

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Mineral resources are life and driving force of the European Union. It is gaining awareness not only in the EU dependent on imports, but also in the world. In the context of the growing population and the growing demands of economies for natural resources, this type of material management has a significant negative impact on the environment. The main aim of the study was to justify the model of circular economy on the national level, based on the disparities between the regions of Slovak republic. To meet the objective, mostly one-factor analysis was implemented. The circular model, which is based on the partial replacement of primary raw materials by secondary ones, should, on the one hand, limit the depletion of natural resources and, on the other hand, reduce the amount of waste produced. The presented work focuses on the issue of sustainable development, which is closely related to the circular economy, and then explains the circular economy model, including the differences from the linear arrangement and possible obstacles to its implementation for the specific conditions of the Slovak republic. From the results, it is clear that the proposed circular model would be helpful to improve the inefficiencies and disparities on the regional and national level.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Circular Model in Disposal with Municipal Waste. A Case Study of Slovakia

Pavolová

Lacko

Hajduová

et al. 2020

IJERPH

Self Cite

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“…Sun et al [31] combined the DEA and fuzzy integral assessment methods to analyze eight typical western regions in China; the results can help local governments take corresponding measures to improve their environmental performance level. Lacko and Hajduova [32] used a two-stage DEA approach to assess environmental efficiency of the EU countries, and found that the climate change and socio-economic factors are the most relevant and significant. Moutinho et al [33] utilize DEA and Malmquist productivity index to evaluate the eco-efficiencies of German and French cities, and found that high GDP over CO 2 emissions does not imply high eco-efficiency scores.…”

Section: Literature Reviewmentioning

confidence: 99%

Environmental Assessment of European Union Countries

Hsieh

Liu

et al. 2019

Energies

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This study utilizes the dynamic data envelopment analysis (DEA) model by considering time to measure the energy environmental efficiency of 28 countries in the European Union (EU) during the period 2006–2013. There are three kinds of variables: input, output, and carry-over. The inputs are labor, capital, and energy consumption (EC). The undesirable outputs are greenhouse gas emissions (GHE) and sulfur oxide (SOx) emissions, and the desirable output variable is gross domestic product (GDP). The carry-over variable is gross capital formation (GCF). The empirical results show that first the dynamic DEA model can measure environment efficiency and provide optimum improvement for inefficient countries, as more than half of the EU countries should improve their environmental efficiency. Second, the average overall scores of the EU countries point out that the better period of performance is from 2009 to 2012. Third, the output variables of GHE, SOx, and GDP exhibit a significant impact on environmental efficiency. Finally, the average value of others is significantly better than high renewable energy utilization (HRE) with the Wilcoxon test. Thus, the EU’s strategy for environmental energy improvement should be to pay attention to the benefits of renewable energy (RE) utilization, reducing greenhouse gas emissions (GHE), and enhancing the development of RE utilization to help achieve the goal of lower GHE.

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“…The selection of the DEA model based on RTS can be assessed according to three methods, as specified Seiford and Zhu (1999), i.e., CCR RTS method, BCC RTS method, and scale efficiency index method. For evaluation of territorial efficiency, DEA in the form of the CRS model is often used, e.g., Lacko and Hajduová (2018), Makridou et al (2014), Otsuka (2014), or Malhotra and Malhotra (2006).…”

Section: Dea-based Malmquist Productivity Indexmentioning

confidence: 99%

Nonparametric Approach to Evaluation of Economic and Social Development in the EU28 Member States by DEA Efficiency

Melecký

Staníčková

Hančlová

2019

JRFM

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Data envelopment analysis (DEA) methodology is used in this study for a comparison of the dynamic efficiency of European countries over the last decade. Moreover, efficiency analysis is used to determine where resources are distributed efficiently and/or were used efficiently/inefficiently under factors of competitiveness extracted from factor analysis. DEA measures numerical grades of the efficiency of economic processes within evaluated countries and, therefore, it becomes a suitable tool for setting an efficient/inefficient position of each country. Most importantly, the DEA technique is applied to all (28) European Union (EU) countries to evaluate their technical and technological efficiency within the selected factors of competitiveness based on country competitiveness index in the 2000–2017 reference period. The main aim of the paper is to measure efficiency changes over the reference period and to analyze the level of productivity in individual countries based on the Malmquist productivity index (MPI). Empirical results confirm significant disparities among European countries and selected periods 2000–2007, 2008–2011, and 2012–2017. Finally, the study offers a comprehensive comparison and discussion of results obtained by MPI that indicate the EU countries in which policy-making authorities should aim to stimulate national development and provide more quality of life to the EU citizens.

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Determinants of Environmental Efficiency of the EU Countries Using Two-Step DEA Approach

Cited by 27 publications

References 38 publications

The Circular Model in Disposal with Municipal Waste. A Case Study of Slovakia

The Circular Model in Disposal with Municipal Waste. A Case Study of Slovakia

Environmental Assessment of European Union Countries

Nonparametric Approach to Evaluation of Economic and Social Development in the EU28 Member States by DEA Efficiency

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