The dual nature of innovation in government: differentiating between generation and borrowing
研究提出基于新颖性的概念框架和自动文本分析方法，利用2009-2022年中国省级政府工作报告数据，区分创新生成与借用，发现组织因素影响生成，环境与组织因素共同影响借用。
While innovation in government is well-studied, the distinction between innovation generation and borrowing is often overlooked. This study addresses this gap by proposing a newness-based conceptual framework and introducing an Automated Text Analysis Based Innovation Measurement method to empirically identify generation and borrowing through newness. An analysis of Chinese provincial ‘Government Work Reports’ from 2009 to 2022 reveals that organizational factors, particularly governors’ characteristics and government size, influence innovation generation. Innovation borrowing, however, is affected by environmental and organizational factors. The empirical evidence highlights the importance of developing this distinction, to better understand innovations with differing determinants and implications.