Keywords
Technological Innovation
Regression Analysis
Data Envelopment Analysis
How to Cite
Abstract
With the global energy transition and a deeper understanding of sustainable development, the solar energy sector is receiving increasing attention. Particularly in China's Xinjiang region, abundant solar energy resources and strong national policy support have fostered the booming development of the solar industry. However, despite generous construction subsidies provided by the government, the patent research and development capabilities of solar energy companies in Xinjiang remain weak, with significant gaps compared to other regions in China. This paper hypothesizes that government subsidies will enhance organisational innovation, and that capital investment and the proportion of technical personnel could also positively affect corporate innovation. To verify these hypotheses, we employ regression analysis and Data Envelopment Analysis (DEA) methods to analyse the annual report data of five listed solar energy companies in Xinjiang. Through these methods, we aim to uncover the key drivers of corporate innovation and provide decision support for policymakers and business managers.
This paper discusses the state of innovation in Xinjiang's solar energy enterprises, taking JFTC as an example, to explore how innovation can be influenced and how technological innovation efficiency will be discussed. Investigating these questions is significant for understanding the innovation capabilities of Xinjiang's solar enterprises and providing decision support for policymakers and business managers.
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