4.6 Article

Comprehensive Regional Eco- Efficiency Analysis Based on Data Envelopment Analysis

Journal

JOURNAL OF INDUSTRIAL ECOLOGY
Volume 21, Issue 1, Pages 180-190

Publisher

WILEY
DOI: 10.1111/jiec.12393

Keywords

CCR model; data envelopment analysis (DEA); eco-efficiency; industrial ecology; Polish regions; sustainable development

Funding

  1. European Social Fund, Human Capital Operational Programme, Priority VIII Regional human resources, Knowledge Transfer, Regional Innovation Strategies [WNDPOKL.08.02.02 26-001/12]

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This article examines the concept of eco-efficiency at a regional level as an approach to promote the sustainable transformation of regions, using the regions of Poland as an example. The data envelopment analysis (DEA) method-theinput-oriented Charnes, Cooper, and Rhodes (CCR) model-was chosen as the eco-efficiency analysis tool because of its high capability to measure the regional eco-efficiency. The research process was divided into two stages. First, the chosen instruments of mathematical statistics (e.g., Hellwig's method and coefficient of determination) were applied to ensure an appropriate combination of environmental and economic indicators of the eco-efficiency equation. Next, the CCR model was used to calculate the eco-efficiency scores. The results of the study have revealed that the regions of Lubuskie, Mazowieckie, Slaskie, Warmin 'sko-Maurskie, and Wielkopolskie are relatively eco-efficient, whereas the remaining regions use too many environmental resources in relation to the produced value of goods and services. Six of the eleven ecoinefficient regions in Poland have increasing returns to scale, that is, the usage of natural resources connected with the negative impact upon the environment rises slower than the values of goods and services. Notwithstanding, it is beneficiary from the perspective of sustainability. The obtained research results are a valuable source of management information for the creation of regional environmental protection strategies and a basis for searching for the causes of eco-inefficiency.

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