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The Inclusive and Sustainable Development Index: a Data Envelopment Analysis Approach

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  • Cheng, Charles Fang Chin
  • Cantore, Nicola

Abstract

Inclusive and Sustainable Industrial Development (ISID) calls for full engagement of policymakers in industrializing countries by minimizing environmental footprint and enhancing social inclusiveness. This study investigates the progress of 118 countries towards ISID (2005-2015) through an input-oriented CCR (Charnes, Cooper, and Rhodes) slack-based (Data Envelopment Analysis) DEA model. The efficiency analyses have been carried out with two approaches: i) the ISID approach represents the aspiration of countries to promote industrialization and consequently sustain economic growth by reducing the adverse environmental and social effects which manifest in the overall economy; ii) ISIDsdg9 approach considers the same aspects of ISID but only focuses on indicators related to the industrial sector. An analytical tool is developed to measure ISID with the two different approaches. This study finds that (i) Denmark, Sweden, and Switzerland are at the top of the ranking with the ISID approach, and the Czech Republic and Switzerland are at the top of the ranking with the ISIDsdg9 approach. Throughout 2005-2013, there is no sign of catching up between developed and developing countries in progress towards ISID and ISIDsdg9.

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  • Cheng, Charles Fang Chin & Cantore, Nicola, 2020. "The Inclusive and Sustainable Development Index: a Data Envelopment Analysis Approach," FACTS: Firms And Cities Towards Sustainability 305208, Fondazione Eni Enrico Mattei (FEEM) > FACTS: Firms And Cities Towards Sustainability.
    • Handle: RePEc:ags:feemff:305208
    DOI: 10.22004/ag.econ.305208
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    1. Frank M. Gollop & Gregory P. Swinand, 1998. "From Total Factor to Total Resource Productivity: An Application to Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 577-583.
    2. Joe Sarkis, 2007. "Preparing Your Data for DEA," Springer Books, in: Joe Zhu & Wade D. Cook (ed.), Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, chapter 0, pages 305-320, Springer.
    3. Kounetas, Konstantinos, 2015. "Heterogeneous technologies, strategic groups and environmental efficiency technology gaps for European countries," Energy Policy, Elsevier, vol. 83(C), pages 277-287.
    4. Arazmuradov, Annageldy, 2011. "Energy consumption and carbon dioxide environmental efficiency for former Soviet Union economies. evidence from DEA window analysis," MPRA Paper 36903, University Library of Munich, Germany, revised 24 Feb 2012.
    5. Cropper, Maureen L & Oates, Wallace E, 1992. "Environmental Economics: A Survey," Journal of Economic Literature, American Economic Association, vol. 30(2), pages 675-740, June.
    6. Wade D. Cook & Joe Zhu, 2007. "Data Irregularities And Structural Complexities In Dea," Springer Books, in: Joe Zhu & Wade D. Cook (ed.), Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, chapter 0, pages 1-11, Springer.
    7. Pittman, Russell W, 1983. "Multilateral Productivity Comparisons with Undesirable Outputs," Economic Journal, Royal Economic Society, vol. 93(372), pages 883-891, December.
    8. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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    Cited by:

    1. Cheng, Charles Fang Chin & Yuan, Qianqian & Hua, Cheng & Xu, Yunqing & Cantore, Nicola & Wang, Ke, 2023. "Global Inclusive and Sustainable Competitive Industrial Performance (ISCIP): An efficiency based spatio-temporal analysis for 139 countries," Applied Energy, Elsevier, vol. 333(C).

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    More about this item

    Keywords

    Environmental Economics and Policy;

    JEL classification:

    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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