Descriptive statistics.

Descriptive statistics.

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For an industry to succeed in a competitive market, it should continuously take care of not only its stakeholders but also its technical efficiency and productivity. In this paper, data envelopment analysis was combined with Malmquist productivity analysis to investigate the pattern of multifactor productivity changes in the European energy industr...

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Context 1
... addition to these two companies, Enel SpA was also found to be an outlier in 2014-2016 due to significant changes in monetary figures. Considering that a calculation of the MPI requires a balanced panel data set and the fact that data were not available from certain energy companies for the period of interest, the final sample was reduced to 19 European companies (Table A1 in the Appendix A). ...
Context 2
... et al. [40] emphasised that this procedure does not affect the efficiency scores obtained by using DEA analysis. Table 1 shows the descriptive statistics of selected outputs (total revenue and GHG emissions) and inputs (total asset, number of employees, and investment) that reveal the heterogeneity within energy companies. The correlation matrix (Table A2 in the Appendix A) shows that there is a significant and positive correlation between the output and input variables. ...

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