An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries

Martínez, Clara Inés Pardo

doi:10.1016/j.seps.2012.11.004

Cited by 26 publications

(3 citation statements)

References 51 publications

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“…Given our results in Figures 1 and 2, the total productivity change, technological change, and overall EC of bioenergy in the European Union experienced gains in productivity in the period studied. These outcomes are consistent with (Groot & Mulder, 2004; Edquist, 2011; Pardo‐Martínez, 2013). These were due to a significant shift in the best‐practice technology in the early 1990s and 2000s for the management of the bioenergy industry, which aligns with the primary objective of the industry to become one of the most relevant renewable energy sources in the EU energy transition.…”

Section: Resultssupporting

confidence: 89%

Productivity growth and its determinants of the bioenergy industry in the EU28 region: Empirical evidence using Malmquist productivity index

2020

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In recent years, the bioenergy industry has been gaining recognition among renewable energy sources in many countries, specifically in the EU28 member states, the unified green energy legislation in which the bioenergy industry is a significant player in achieving several climate and energy efficiency goals. This research investigated the total factor productivity (TFP) of the bioenergy industry in the European Union during the period 1990-2018, using the Malmquist productivity index of the data envelopment analysis method. More so, this article estimates the economic factors of TFP, where a panel regression analysis framework was applied. The empirical results indicate that capital input, labor input, size of raw biomass, and investment influence on the TFP of the bioenergy industry of the European Union during the observed period. However, the labor input has the highest effect on TFP, followed by investment compare. The findings of the study suggest that regulators should focus more on research and development so labor augmentation and other input variables can further improve the TFP of the bioenergy industry.

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Section: Resultssupporting

confidence: 89%

Productivity growth and its determinants of the bioenergy industry in the EU28 region: Empirical evidence using Malmquist productivity index

2020

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“…It suggested that the difference between x * and x o and y * and y o pointed at the need for managerial improvement (Cooper et al , 2000). In this section, the authors evaluate how well economic variables are enhancing the profit efficiency of the bioenergy industry in the EU28 region following the models from prior studies (Martínez, 2013; Filippini et al , 2014; Filipović et al , 2015; Flues et al , 2015; Shi et al , 2017). The following equation (3) is based on a balanced panel data for observed countries EU28 ( i = 1,…, 28) during the period 1990–2013 ( t = 1,…,24): …”

Section: Methodsmentioning

confidence: 99%

“…Despite the contribution and the importance of the bioenergy industry to the development of RESs in the EU, profit efficiency being a function of engineering (technical capability) and managerial (allocative ability) aspects has not been evaluated in bioenergy efficiency analysis for the EU28 in total. Apart from Filippini et al (2014); Filipović et al (2015); Flues et al (2015), Alsaleh et al (2017); and Alsaleh and Abdul-Rahim (2018), several studies mainly focused on a country level (Barros, 2008; Thornley et al , 2009; Peura and Hyttinen, 2011;Martínez, 2013; Costa-Campi et al , 2015; Ferreira et al , 2017; Strzalka et al , 2017). This paper aims to present the analysis of the profit efficiency level of the bioenergy industry and its determinants for the EU28 countries in total.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the profit efficiency of bioenergy industry and its determinants in EU28 region

Zubair

Alsaleh

Abdul‐Rahim

2021

IJESM

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Purpose The purpose of this study is to evaluate the profit efficiency of bioenergy industry and its determinants in EU28 region roadmaps for the transition towards energy efficiency which is increasingly perceived by stakeholders, researchers and the public as a pathway to bring dependency on fossil resources to a significant reduction. Many studies overlooked the importance of profit efficiency as a factor for bioenergy industry business improvement. More so, external environmental variables can play a key role in achieving profit efficiency in the industry. Design/methodology/approach This paper seeks to answer the questions on the following: (1) the profit efficiency level using the data envelopment analysis (DEA) approach in the EU28 region during the period between 1990 and 2018; and (2) to explore the impacts of external environmental variables on the profit efficiency level using panel regression model in the EU28 region during the period between 1990 and 2018. Findings Results revealed that gross domestic product, size of biomass and investment are essential for the development of the bioenergy industry and positively influence on profit efficiency level. The increase in temperature change decreased the profit efficiency level during 1990–2018. Research limitations/implications For those profit-inefficient bioenergy industries in countries such as Cyprus and Ireland, participation in innovative programs, expanding a knowledge-based economic system and implementation of support policy for bioenergy technologies, by investing in biomass sources that are suitable for their respective renewable energy development will enhance specialization, resource efficiency and improved profitability can be expected in future. Originality/value Unlike other previous studies, this study investigated the profit efficiency by applying the DEA statistical method. Moreover, the authors have applied a second regression analysis to estimate the impacts of macroeconomic and microeconomic variables on the profit efficiency level. This study has focused on the EU28 region, including both developed and developing countries, to compare the level of profit efficiency levels in the selected sample. The authors have applied data panel analysis for the period from 1990 to 2018. No previous study has applied the methods, samples and periods as those used in this study. Therefore, this study contributes significantly to the bioenergy industry specifically and the renewable energy industry in general and to the associated extant research.

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Literature Study for Dea Environmental Assessment

2018

Environmental Assessment on Energy and Sustainability by Data Envelopment Analysis

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An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries

Cited by 26 publications

References 51 publications

Productivity growth and its determinants of the bioenergy industry in the EU28 region: Empirical evidence using Malmquist productivity index

Productivity growth and its determinants of the bioenergy industry in the EU28 region: Empirical evidence using Malmquist productivity index

Evaluating the profit efficiency of bioenergy industry and its determinants in EU28 region

Literature Study for Dea Environmental Assessment

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