The performance evaluation of regional R&D investments in China: An application of DEA based on the first official China economic census data

By W. Zhong, W. Yuan, Susan X. Li, Zhimin Huang. 2011

180 citations recorded by the source corpus.

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A Network DEA Model with Super Efficiency and Undesirable Outputs: An Application to Bank Efficiency in China (2014, unknown): “[1], DEA(data envelopment analysis) has been widely used to measure the performance of DMUs(decision making unites) that convert multi-inputs into multi-outputs, such as bank performance[2,3], company performance[4,5], hospital web security[6], production planning [7], energy consumption productivit”
You can’t manage right what you can’t measure well: Technological innovation efficiency☆ (2013, methodology): “…have been used, such as R&D expenditures (O'Regan et al., 2006), R&D intensity (Hitt et al., 1997) and R&D manpower (Wang and Huang, 2007), and a variety of innovation outputs like product innovations (Li, 2000), process innovations (Akgün et al., 2009) and patents (Zahra and Nielsen, 2002 ).”
Investment efficiency of the new energy industry in China (2017, background): “, 2012), R&D investment (Zhong et al., 2011), and the culture industry (Zeng et al.”
Data envelopment analysis 1978-2010: A citation-based literature survey (2013, background): “In addition, research targets spread globally to countries such as China [4, 5], Greece [6], Turkey [7], Norway [8] and UAE [9], etc.”
R&D, productivity, and market value: An empirical study from high-technology firms (2013, methodology): “R&D expenditures were used as a proxy for innovation inputs [3,22,29,39].”