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ID:
177830
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| Summary/Abstract |
This paper investigates whether there exists an optimal level of research and development (R&D) intensity, at which defense enterprises are able to maximize their market performance. The Panel Threshold Regression Model was applied to probe the link between R&D intensity and sales growth for defense listed enterprises, in China. The empirical results indicate that the Law of Gibrat does not hold and, unlimited input in R&D, does not guarantee positive paybacks. This may lead to the assumption that there is an optimal R&D intensity level in Chinese defense enterprises. Due to the fact that the defense industry has broken entrance barriers and considering the introduction of social capital into R&D activities, managers and top management should set more specific guidelines and provisional benchmarks to ensure effective R&D resource allocation in order to achieve maximum performance.
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| 2 |
ID:
168672
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| Summary/Abstract |
The literature has always shown that there are two important factors in the improvement of a country's research output: Gross Domestic Product (GDP) and R&D Expenditures. Taking the discussion a step further, and in an effort to provide policy recommendations on what is needed to boost research capacity, this paper aims at decomposing the change in energy research papers of five countries (Australia, Canada, Germany, UK and US) into four factors: GDP, R&D intensity (ratio of total R&D to GDP), energy R&D rate of return or productivity (number of energy-related papers per unit of energy R&D expenditure), and energy R&D priority (share of energy R&D to total R&D expenditure).
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