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The Impacts of the EU ETS on Efficiency An Empirical Analyses for German Manufacturing Firms
14/14 checkable references clean · checked 2026-08-27
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
16 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 14 checked references that resolve
resolves10.1016/0304-4076(77)90052-5
Formulation and estimation of stochastic frontier production function models
resolves10.1162/rest_a_00470
Environmental Policy and Directed Technological Change: Evidence from the European Carbon Market
resolves10.1017/cbo9780511610851.035
Directive 2004/101/EC of the European Parliament and of the Council of 27 October 2004 amending Directive 2003/87/EC establishing a scheme for greenhouse gas emission allowance trading within the Community, in respect of the Kyoto Protocol's project mechanisms (<i>OJ L 338 13.11.2004 p. 18</i>)
resolves10.3386/w15082
What Do Emissions Markets Deliver and to Whom? Evidence from Southern California's NOx Trading Program
resolves10.1016/j.jeem.2014.06.002
Do EPA regulations affect labor demand? Evidence from the pulp and paper industry
resolves10.2307/2971733
Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme
resolves10.1162/003465302320259529
Alternative Regulatory Methods and Firm Efficiency: Stochastic Frontier Evidence from the U.S. Electricity Industry
resolves10.2139/ssrn.2850541
Emissions Trading and Productivity: Firm-Level Evidence from German Manufacturing
resolves10.2139/ssrn.2344376
The Impact of the EU ETS on Regulated Firms: What is the Evidence after Nine Years?
resolves10.2307/2525757
Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
resolves10.1515/jbnst-2011-0306
Energy Use Patterns in German Industry: Evidence from Plant-level Data
The 16 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedref4
no DOI — not checkedConclusion EUCO 189/14 of the European Council of 23 nd
no DOI — not checkedref8
no DOI — not checkedBestimmung spezifischer TreibhausgasEmissionsfaktoren f�r Fernw�rme
no DOI — not checkedAnhang01 Stoffliste.html, extracted on 29th of
no DOI — not checkedFederal Environmental Agency -Climate Change
no DOI — not checkedDid the EU ETS Make a Difference? An Empirical Assessment Using Lithuanian Firm-Level Data
no DOI — not checkedref17
no DOI — not checkedref23
no DOI — not checkedIndustry classification: The underlying industry classification NACE rev. 2 (Statistical Classification of Economic Activities in the European Community) is the European implementation of the UN classification ISIC rev
no DOI — not checkedAmtliche Firmendaten f�r Deutschland -AFiD) is a highly detailed data source with regard to energy use. The Energy Use Module contains information on the purchase, storage, sale, and use of 33 different fuels. We have access to slightly aggregated version of the Energy Use Module that contains information on 9 different fuels: natural gas, light fuel oil and heating oil, district heat, liquid gas, coal products, other mineral oil products, other gases, biomass, and other fuels
no DOI — not checkedref27
no DOI — not checkedCO 2 content electricity and fuel use 03 -12
no DOI — not checkedOfficial Firm Data for Germany (AFiD) -AFiD-Panel Industrial Units and AFiD-Module Use of Energy, own calculations. Indexed medians for two-digit industries
no DOI — not checkedOfficial Firm Data for Germany (AFiD) -AFiD-Panel Industrial Units and AFiD-Module Use of Energy
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