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An expanded decomposition of the Luenberger productivity indicator with an application to the Chinese healthcare sector

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  • Boussemart, Jean-Philippe
  • Ferrier, Gary D.
  • Leleu, Hervé
  • Shen, Zhiyang

Abstract

The objective of this research is to combine productivity analysis at the “firm-level” and the “industry-level” so that a novel, fuller decomposition of the sources of productivity change can be undertaken. Productivity change is decomposed into technological progress, technical, mix, and scale efficiency effects. Specifically, our decomposition allows us to capture changes in productivity due to the reallocation of inputs or outputs across productive units. In practice, such reallocation might take place across plants operated by the same firm, across regions within a country, or via mergers and acquisitions. The new decomposition of the aggregate Luenberger productivity indicator is illustrated using data at both the provincial and regional levels for China's healthcare sector over the period 2009–2014. Our results indicate that the growth of the aggregate Luenberger productivity indicator varied across both time and regions. We find that China's regional productivity growth in healthcare was primarily driven by technological progress, while the contributions of the other components of productivity change were smaller and more varied across regions.

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  • Boussemart, Jean-Philippe & Ferrier, Gary D. & Leleu, Hervé & Shen, Zhiyang, 2020. "An expanded decomposition of the Luenberger productivity indicator with an application to the Chinese healthcare sector," Omega, Elsevier, vol. 91(C).
  • Handle: RePEc:eee:jomega:v:91:y:2020:i:c:s030504831731160x
    DOI: 10.1016/j.omega.2018.11.019
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    4. Xiaodong Chen & Anda Guo & Jiahao Zhu & Fang Wang & Yanqiu He, 2022. "Accessing performance of transport sector considering risks of climate change and traffic accidents: joint bounded-adjusted measure and Luenberger decomposition," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 115-138, March.
    5. Zhiyang Shen & Vivian Valdmanis, 2020. "Identifying the contribution to hospital performance among Chinese regions by an aggregate directional distance function," Health Care Management Science, Springer, vol. 23(1), pages 142-152, March.
    6. Justas Streimikis & Zhuang Miao & Tomas Balezentis, 2021. "Creation of climate‐smart and energy‐efficient agriculture in the European Union: Pathways based on the frontier analysis," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 576-589, January.
    7. Yusi Cheng & Xuejie Bai & Yung‐Ho Chiu, 2023. "Performance evaluation for health‐care sectors using a dynamic network data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2237-2253, June.
    8. Xueli Chen & Vivian Valdmanis & Tuotuo Yu, 2020. "Productivity Growth in Chinese Medical Institutions during 2009–2018," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    9. Rocha, António & Costa, Ana Sara & Figueira, José Rui & Ferreira, Diogo Cunha & Marques, Rui Cunha, 2021. "Quality assessment of the Portuguese public hospitals: A multiple criteria approach," Omega, Elsevier, vol. 105(C).
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