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Sustainable Development and Performance Measurement: Global Productivity Decomposition

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  • Robi Kurniawan
  • Shunsuke Managi

Abstract

This paper analyzes productivity and efficiency by using inclusive wealth as a sustainability measurement. The study extends current measures of sustainability by capturing the efficient utilization of natural capital and other conventional inputs as input and carbon damage as undesirable output in a productivity measure for 140 countries from 1995 to 2010. To determine the contribution of each input/output to productivity and technical efficiency, we applied a weighted Russell directional distance and a Luenberger productivity measure. We found that GDP, natural capital and carbon damage are the main contributors to productivity change. Natural capital and carbon damage remain significant burdens for many countries' performance, especially for countries with resource†driven economies and extreme vulnerability to climatic shifts. This finding enhances our understanding of how particular countries can measure and manage their sustainability. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment

Suggested Citation

  • Robi Kurniawan & Shunsuke Managi, 2017. "Sustainable Development and Performance Measurement: Global Productivity Decomposition," Sustainable Development, John Wiley & Sons, Ltd., vol. 25(6), pages 639-654, November.
    • Handle: RePEc:wly:sustdv:v:25:y:2017:i:6:p:639-654
    DOI: 10.1002/sd.1684
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    Cited by:

    1. Zhongxun Zhang & Kaifang Shi & Zhiyong Zhu & Lu Tang & Kangchuan Su & Qingyuan Yang, 2022. "Spatiotemporal Evolution and Influencing Factors of the Rural Natural Capital Utilization Efficiency: A Case Study of Chongqing, China," Land, MDPI, vol. 11(5), pages 1-29, May.
    2. Halkos, George & Managi, Shunsuke & Tsilika, Kyriaki, 2018. "Spatiotemporal distribution of inclusive wealth data: An illustrated guide," MPRA Paper 85711, University Library of Munich, Germany.
    3. Halkos, George & Managi, Shunsuke & Tsilika, Kyriaki, 2018. "The multi-layer nature of Inclusive Wealth data and their dynamic interpretation," Economic Analysis and Policy, Elsevier, vol. 59(C), pages 160-170.
    4. Yagi, Michiyuki & Managi, Shunsuke, 2018. "Shadow price of patent stock as knowledge stock: Time and country heterogeneity," Economic Analysis and Policy, Elsevier, vol. 60(C), pages 43-61.
    5. José Antonio Palomero-González & Vicent Almenar-Llongo & Ramón Fuentes-Pascual, 2021. "Evaluating the Efficiency of Water Distribution Network Sectors Using the DEA-Weight Russell Directional Distance Model: The Case of the City of Valencia (Spain)," Sustainability, MDPI, vol. 13(19), pages 1-21, September.
    6. Robi Kurniawan & Shunsuke Managi, 2019. "Linking Wealth and Productivity of Natural Capital for 140 Countries Between 1990 and 2014," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 443-462, January.
    7. Jin Guo & Hanqiao Yang, 2022. "CDMs’ effect on environmentally sensitive productivity: evidence from Chinese provinces," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 401-422, December.
    8. Kurniawan, Robi & Managi, Shunsuke, 2018. "Coal consumption, urbanization, and trade openness linkage in Indonesia," Energy Policy, Elsevier, vol. 121(C), pages 576-583.
    9. Sugiawan, Yogi & Managi, Shunsuke, 2019. "New evidence of energy-growth nexus from inclusive wealth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 40-48.

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