The purpose of this study is to explore the relationships between three intangible resources and the innovation performance of Chinese high-tech firms, and the moderating effect of internationalization on these relationships. We implement a hierarchical multiple regression analysis using data for 274 Chinese high-tech firms. The results show that all three intangible resources, measured by top management team diversity, research and development intensity, and government subsidies, positively influence Chinese high-tech firm innovation performance. We find the relationships between these intangible resources and the innovation performance of Chinese high-tech firms are significantly positively moderated by internationalization. These findings have important implications, as follows. First, they provide evidence of the strategic value of intangible resources and their effects on innovation performance. Second, our results show that increasing internationalization alone does not guarantee performance improvement. Firms should consider their internal and external environments and the complex relationships among factors when they make decisions about internationalization investments. Prior research does not provide an explanation for how internationalization affects performance, because it primarily focuses on the direct relationship between internationalization and performance. This study overcomes this limitation by examining the indirect effect of internationalization on performance.
Shangdong Province is a major energy exporter as well as a green city of economic development. However, amid the rapid development of economy, Shandong province has witnessed the development of some noneconomic and green industries, therefore, to fulfill the government's obligation and to make the industry planning better and to create green environmental industry, it is necessary to study the development function of new energy industry in Shandong under the support of government finance. Energy plays an important role in developing economy and sustaining human life, without which human cannot survive. Nowadays, due to the mass consumptions of energy on earth by humankind, it is urgent for humankind to seek new alternative energy sources and develop environmental protection industry. As one of the key industries supported by the state in recent years, new energy industry, including industries supported by hydropower, wind power, tidal energy and luminous energy, is under rapid development and has become the main driving force to change the enterprise structure and promote the development in Shandong Province. Based on the data of energy developmental level within 20 years from 1993 to 2012 in Shandong Province, this thesis is to build a financial support model suitable for new energy development in Shandong Province by using the basic principle of factor analysis. After unit root test, co-integration test and causality test on the data and analysis, a conclusion that the measurement index between financial efficiency, scale and results are indeed co-integrate and moreover, it gives a major push to the development of new energy industry. Therefore, the major drivers of the development of new energy in China with the financial support can be summarized. This research can provide theoretical basis for the structure of new energy industry in Shandong Province.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.