Evaluate innovational productivity of China pharmaceutical manufacturing industry based on DEA-malmquist index approach

被引：0

作者：

机构：

[1] Yan, Hongyan

[2] Yang, Yi

来源：

| 2013年 / Journal of Chemical and Pharmaceutical Research, 3/668 Malviya Nagar, Jaipur, Rajasthan, India卷 / 05期

关键词：

Manufacture - Decision making - Mathematical programming - Efficiency - Time series analysis - Productivity;

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摘要：

Data envelopment analysis (DEA) based on mathematical programming model, is a good analysis method used to measure the relative efficiency of Decision Making Units (DMUs) with multiple inputs and multiple outputs. DEA-Malmquist productivity index measures the productivity change over time. The DEA-Malmquist productivity index can be decomposed into two components: one measuring the technical change and the other measuring the frontier shift. By using the DEA-Malmquist index analysis approach, this paper conducts an empirical study to evaluate the innovational productivity of China pharmaceutical manufacturing industry from the following two perspectives: twenty -three provincial regions and fifty-seven comprehensive economic zones with the time series data from 2001 to 2011. It deeply analyses the patent innovation efficiency change in different periods and analyses the technical change rate.

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