Comparing Malmquist and Hicks-Moorsteen productivity changes in China's high-tech industries: exploring convexity implications

DOI10.1007/s10100-023-00853-5OpenAlexW4367316294MaRDI QIDQ6090376

Xin-Wang Liu, Xiao-Qing Chen

Publication date: 14 November 2023

Published in: CEJOR. Central European Journal of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10100-023-00853-5

zbMATH Keywords

Malmquist indexChina's high-tech industryHicks-Moorsteen indexnonparametric technologies

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Cites Work

• Comparing Malmquist and Hicks-Moorsteen productivity indices: exploring the impact of unbalanced vs. balanced panel data
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• Innovation performance evaluation for high-tech companies using a dynamic network data envelopment analysis approach
• Cost functions are nonconvex in the outputs when the technology is nonconvex: convexification is not harmless
• The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity
• On goodness-of-fit tests for weakly dependent processes using kernel method
• Nonparametric testing of closeness between two unknown distribution functions
• Network DEA
• Index numbers and indifference surfaces

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