Artikel

Bayesian approach to disentangling technical and environmental productivity

This paper models the firm's production process as a system of simultaneous technologies for desirable and undesirable outputs. Desirable outputs are produced by transforming inputs via the conventional transformation function, whereas (consistent with the material balance condition) undesirable outputs are by-produced via the so-called "residual generation technology". By separating the production of undesirable outputs from that of desirable outputs, not only do we ensure that undesirable outputs are not modeled as inputs and thus satisfy costly disposability, but we are also able to differentiate between the traditional (desirable-output-oriented) technical productivity and the undesirable-output-oriented environmental, or so-called "green", productivity. To measure the latter, we derive a Solow-type Divisia environmental productivity index which, unlike conventional productivity indices, allows crediting the ceteris paribus reduction in undesirable outputs. Our index also provides a meaningful way to decompose environmental productivity into environmental technological and efficiency changes.

Language
Englisch

Bibliographic citation
Journal: Econometrics ; ISSN: 2225-1146 ; Volume: 3 ; Year: 2015 ; Issue: 2 ; Pages: 443-465 ; Basel: MDPI

Classification
Wirtschaft
Bayesian Analysis: General
Multiple or Simultaneous Equation Models; Multiple Variables: General
Index Numbers and Aggregation; Leading indicators
Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
Subject
bad output
by-production
efficiency
MCMC
productivity

Event
Geistige Schöpfung
(who)
Malikov, Emir
Kumbhakar, Subal C.
Tsionas, Efthymios G.
Event
Veröffentlichung
(who)
MDPI
(where)
Basel
(when)
2015

DOI
doi:10.3390/econometrics3020443
Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Malikov, Emir
  • Kumbhakar, Subal C.
  • Tsionas, Efthymios G.
  • MDPI

Time of origin

  • 2015

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