Driving forces of different productivity models

George Halkos and Christina Bampatsou

MPRA Paper from University Library of Munich, Germany

Abstract: In the present study, Data Envelopment Analysis (DEA) is used for the period spanning from 1980 to 2012 and for a total of 32 countries which are classified into four groups, according to their level of development (Developing, BRICS, Developed, G7). DEA allows us to measure technical efficiency under constant (CRS) and variable (VRS) returns to scale and also the Malmquist index and its components (TECHCH, EFFCH, PECH, SECH). Furthermore, we develop an order-α approach for the determination of partial frontiers. An output oriented model is applied. Labor and capital are used as inputs while the GDP index is used as output. Subsequently, energy is incorporated in the model as an additional input variable and CO2 emissions as undesirable output. A comparison of productivity indices as derived from the analysis, allows us to highlight the different levels of productivity before and after the integration of energy and CO2 emissions as additional variables, for each group of countries and therefore their sustainability gaps.

Keywords: Data Envelopment Analysis; Malmquist Index; Order-α approach; Energy; CO2 emissions. (search for similar items in EconPapers)
JEL-codes: O11 O57 Q0 Q01 Q4 Q43 Q5 Q50 R15 (search for similar items in EconPapers)
Date: 2016-12
New Economics Papers: this item is included in nep-eff, nep-ene and nep-env
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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