Energy Use Patterns in German Industry: Evidence from Plant-level Data

Petrick, Sebastian; Rehdanz, Katrin; Wagner, Ulrich J.

doi:10.1515/9783110510287-005

Cited by 9 publications

(13 citation statements)

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“…Petrick and Wagner (2014) link participating firms in the EUTL to a panel comprised of all German manufacturing plants with more than twenty employees (see Petrick, Rehdanz, and Wagner 2011). They find that the EU ETS had a significant impact on emissions only between 2008 and 2010, causing participating firms to reduce their emissions by 26 percent relative to nonparticipating firms.…”

Section: Microdata From Administrative Sourcesmentioning

confidence: 99%

The Impact of the European Union Emissions Trading Scheme on Regulated Firms: What Is the Evidence after Ten Years?

Martin¹,

Muûls²,

Wagner³

2016

Review of Environmental Economics and Policy

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168

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Section: Microdata From Administrative Sourcesmentioning

confidence: 99%

The Impact of the European Union Emissions Trading Scheme on Regulated Firms: What Is the Evidence after Ten Years?

Martin¹,

Muûls²,

Wagner³

2016

Review of Environmental Economics and Policy

Self Cite

302

168

View full text Add to dashboard Cite

“…It also comprises detailed information on a plant's energy use for various energy sources, most notably electricity, which allows to observe whether the first eligibility criterion is met. Based on the disaggregated information on energy uses, we calculate CO 2 emissions using the emission coefficients of the respective fuel types, as described in Petrick et al (2011). Furthermore, we determine the CO 2 intensity of energy use and the CO 2 intensity of production by dividing total CO 2 emissions by a plant's total energy use and gross output, respectively.…”

Section: Institutional Background and Datamentioning

confidence: 99%

Do Electricity Prices Matter? Plant-Level Evidence from German Manufacturing

Gerster

2015

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The working papers published in the Series constitute work in progress circulated to stimulate discussion and critical comments. Views expressed represent exclusively the authors' own opinions and do not necessarily reflect those of the editors. Terms of use: Documents in Ruhr Economic Papers #672

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“…Using German production census data, Petrick et al (2011) With our study, we are also among the first to estimate the own-price elasticities of energy demand for the German manufacturing sector. The estimated industry-specific elasticities appear to be rather small in comparison to recent studies of other countries, ranging from around -0.4 to -0.8.…”

Section: Introductionmentioning

confidence: 99%

Drivers of Energy Efficiency in German Manufacturing: A Firm-Level Stochastic Frontier Analysis

et al. 2017

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Die Dis cus si on Pape rs die nen einer mög lichst schnel len Ver brei tung von neue ren For schungs arbei ten des ZEW. Die Bei trä ge lie gen in allei ni ger Ver ant wor tung der Auto ren und stel len nicht not wen di ger wei se die Mei nung des ZEW dar.Dis cus si on Papers are inten ded to make results of ZEW research prompt ly avai la ble to other eco no mists in order to encou ra ge dis cus si on and sug gesti ons for revi si ons. The aut hors are sole ly respon si ble for the con tents which do not neces sa ri ly repre sent the opi ni on of the ZEW. Drivers of Energy Efficiency in German Manufacturing December 2017 AbstractIncreasing energy efficiency is one of the main goals in current German energy and climate policies. We study the determinants of energy efficiency in the German manufacturing sector based on official firm-level production census data. By means of a stochastic frontier analysis, we estimate the cost-minimizing energy demand function at the two-digit industry level using firm-level heterogeneity. Apart from the identification of the determinants of the energy demand function, we also analyze potential drivers of energy efficiency. Our results suggest that there is still potential to increase energy efficiency in most industries of the German manufacturing sector.Furthermore, we find that in most industries exporting and innovating firms as well as those investing in environmental protection measures are more energy efficient than their counterparts. In contrast, firms which are regulated by the European Union Emissions Trading System are mostly less energy efficient than non-regulated firms.

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Energy Use Patterns in German Industry: Evidence from Plant-level Data

Cited by 9 publications

References 0 publications

The Impact of the European Union Emissions Trading Scheme on Regulated Firms: What Is the Evidence after Ten Years?

The Impact of the European Union Emissions Trading Scheme on Regulated Firms: What Is the Evidence after Ten Years?

Do Electricity Prices Matter? Plant-Level Evidence from German Manufacturing

Drivers of Energy Efficiency in German Manufacturing: A Firm-Level Stochastic Frontier Analysis

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