Energy and Emission Efficiency of the Slovak Regions

Baláž, Vladimír; Nežinský, Eduard; Jeck, Tomáš; Filčák, Richard

doi:10.3390/su12072611

Cited by 5 publications

(6 citation statements)

References 27 publications

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“…In particular, we observe that propensity score matching (Castillo and Salem, 2013;Papadimitriou and Johnes, 2019) and difference-in-differences (Hitt and Tambe, 2016;Pan et al, 2019;Baláź et al, 2020;He et al, 2020) are the more common techniques, and sometimes they are used as complementary tools (Lin and Zhu, 2019;Ma et al, 2020). Recent studies by D'Inverno et al ( 2021) (and Mergoni et al 2020) translated the idea of the identification strategy of the regression discontinuity design in the realm of frontier estimation.…”

Section: Determinant-wise Focus Of the Literaturementioning

confidence: 81%

“…However, only few studies rely entirely on the CCR model (for education see Soares de Mello et al, 2006;Coupet and Barnum, 2010;Montoneri et al, 2012, and for firms' productivity see Kao and Hwang, 2010;Castillo and Salem, 2013). The majority of papers uses the CCR model in combination to the BCC model, proposed by Banker et al (1984) to relax the constant return to scale assumption, and to investigate the possible presence of scale economies (Halkos and Tzeremes, 2013;Du et al, 2014;Schubert and Yang, 2016;Natesan and Marathe, 2017;Baláź et al, 2020).…”

Section: Method-wise Focus Of the Literaturementioning

confidence: 99%

“…To overcome these issues, few attempts have been made in the literature by implementing classical econometric techniques for causal inference. In particular, we observe that propensity score matching (Castillo and Salem, 2013; Papadimitriou and Johnes, 2019) and difference‐in‐differences (Hitt and Tambe, 2016; Pan et al., 2019; Baláź et al., 2020; He et al., 2020) are the more common techniques, and sometimes they are used as complementary tools (Lin and Zhu, 2019; Ma et al., 2020). Recent studies by D'Inverno et al.…”

Section: Determinant‐wise Focus Of the Literaturementioning

confidence: 99%

“…The rise of environmental concerns is also reflected in the energy efficiency literature. In particular, the six papers we observe in the systematic literature review analyzed the effect on energy efficiency of policies involving the use of renewable energy sources (Halkos et al., 2015), incentives for sustainability and emission reductions (Lin and Zhu, 2019; Baláź et al., 2020; Zhang et al., 2020), and energy conservation (Xin‐gang et al., 2020). The geographical distribution of these studies suggests that particularly Europe (Morfeldt and Silveira, 2014; Halkos et al., 2015; Baláź et al., 2020) and China (Lin and Zhu, 2019; Xin‐gang et al., 2020; Zhang et al., 2020) are the regions with most attention to environmental efficiency.…”

Section: Application‐wise Focus Of the Literaturementioning

confidence: 99%

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Policy evaluation and efficiency: a systematic literature review

Mergoni

Witte

2021

Int Trans Operational Res

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This paper provides a systematic literature review of studies investigating the effect of an intervention on the efficiency of a decision-making unit, when efficiency is computed using nonparametric frontier approaches. This paper offers a guide for future research by identifying patterns in (1) the fields of application, (2) applied efficiency models, and (3) analysis of efficiency determinants. Our findings indicate that, despite the prominent role of frontier techniques in the analysis of public sector performances and the importance of the effectiveness and the policy perspective, these two approaches have long been kept separate. Nevertheless, the combination of efficiency and effectiveness is fundamental to evaluate public interventions and to detect inefficiencies at the policy level, especially in key sectors such as education, health, and environment.

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Section: Determinant-wise Focus Of the Literaturementioning

confidence: 81%

Section: Method-wise Focus Of the Literaturementioning

confidence: 99%

Section: Determinant‐wise Focus Of the Literaturementioning

confidence: 99%

Section: Application‐wise Focus Of the Literaturementioning

confidence: 99%

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Policy evaluation and efficiency: a systematic literature review

Mergoni

Witte

2021

Int Trans Operational Res

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“…Cogeneration and polygeneration systems are an essential part of industrial production of materials and energies, consuming or generating heat, electricity, mechanical, and chemical energy [1,2]. Ambitious efforts of national and European institutions to reduce greenhouse gases emissions and to ensure sustainable industrial production [3][4][5][6][7][8][9] at the same time cannot be successfully met without increasing material and energy efficiency of the industry [10][11][12][13] by simultaneous energy, economic, environmental, and risk and safety optimization [14][15][16] of existing industrial cogeneration and polygeneration systems [17,18].…”

Section: Introductionmentioning

confidence: 99%

Process Drive Sizing Methodology and Multi-Level Modeling Linking MATLAB® and Aspen Plus® Environment

et al. 2020

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Optimal steam process drive sizing is crucial for efficient and sustainable operation of energy-intense industries. Recent years have brought several methods assessing this problem, which differ in complexity and user-friendliness. In this paper, a novel complex method was developed and presented and its superiority over other approaches was documented on an industrial case study. Both the process-side and steam-side characteristics were analyzed to obtain correct model input data: Driven equipment performance and efficiency maps were considered, off-design and seasonal operation was studied, and steam network topology was included. Operational data processing and sizing calculations were performed in a linked MATLAB®–Aspen Plus® environment, exploiting the strong sides of both software tools. The case study aimed to replace a condensing steam turbine by a backpressure one, revealing that: 1. Simpler methods neglecting frictional pressure losses and off-design turbine operation efficiency loss undersized the drive and led to unacceptable loss of deliverable power to the process; 2. the associated process production loss amounted up to 20%; 3. existing bottlenecks in refinery steam pipelines operation were removed; however, new ones were created; and 4. the effect on the marginal steam source operation may vary seasonally. These findings accentuate the value and viability of the presented method.

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