China's high‐tech industry efficiency measurement with virtual frontier data envelopment analysis and Malmquist productivity index. Issue 2 (2nd July 2019)

• Record Type: Journal Article
• Authors: Liu, Xin; Huang, Jingkai
• Other Names: Wu Desheng Dash guestEditor.; Hall Jon guestEditor.; Belezamo Baloka guestEditor.; Eken Süleyman guestEditor.; Avci Cafer guestEditor.
• Is Part Of: Expert systems. Volume 39:Issue 2(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-07-02
• Subjects: efficiency decomposition -- high‐tech industry -- Malmquist productivity index -- virtual frontier DEA model; Expert systems (Computer science); 006.33
• DOI: 10.1111/exsy.12450
• Languages: English
• ISSNs: 0266-4720

Abstract

Abstract: Data envelopment analysis (DEA) is a widely used non‐parametric method in efficiency measurement with multiinputs and multioutputs. Malmquist productivity measures the efficiency change in different periods and decomposes the general efficiency change into technical efficiency change and frontier shift. In this paper, we choose a driving industry in social development, the high‐tech industry, as an example to illustrate a new method, virtual frontier DEA model, in the aspect of improvement of the traditional DEA model. Additionally, we decompose the Malmquist productivity index with virtual frontier DEA model to find out the driving force of high‐tech efficiency change.