基于CiteSpaceⅡ的国内文献传递研究可视化分析

以中文社会科学引文索引（CSSCI）收录的1998-2012年间发表的174篇文献传递研究论文为分析对象,应用CiteS-paceⅡ可视化软件绘制知识图谱,对国内该研究领域的代表作者及机构、研究前沿加以分析,并应用关键词聚类和突现词探测功能对该研究热点及发展趋势进行预测.     

Long-term research on technology innovation in the form of new technology patents

Recent changes in innovation development are related to the new technological revolution (Industry 4.0), pandemic, economic crises, and new legislation. These trends provide new opportunities for the improvement of production materials, construction, processes, and capacities. Innovative technologies improve the processes of business analyses and forecasting, as well as new product development, order processing, logistics, production automation, quality control, and marketing. Modern technologies are gradually replacing ergonomically demanding and dangerous occupations. Such innovations are particularly necessary for the transformation of problem companies and regions, as they often have a significant impact on economic development. This study is part of our long-term research on the technology innovation of problem companies and regions. Its primary goal is to methodically emphasize the importance and role of technology innovation management, mainly in problem companies, and analytically compare the innovation success of regions and countries from a global perspective. The study was carried out from 2015 to 2021. The time scope of the analyzed data is 2000–2018. The results show a certain Asian dominance in technology innovation management, in terms of the number of technology patents as well as of the growth dynamics and the ability to overcome the pandemic and crises in general.     

The wider impacts of high-technology employment: Evidence from U.S. cities

Innovative, high-technology industries are commonly described as drivers of regional development. ‘Tech’ workers earn high wages, but they are also said to generate knock-on effects throughout the local economies that host them, spurring growth in jobs and wages in nontradable activities. At the same time, in iconic high-tech agglomerations like the San Francisco Bay Area, the home of Silicon Valley, the success of the tech industry creates tensions, in part as living costs rise beyond the reach of many non-tech workers. Across a large sample of U.S. cities, this paper explores these issues systematically. Combining annual data on wages, employment and prices from the Quarterly Census of Employment and Wages, the Department of Housing and Urban Development and the Consumer Price Index, it estimates how growth in tradable tech employment affects the real, living-cost deflated wages of local workers in nontradable sectors. Results indicate that high-technology employment has significant, positive, but modest effects on the real wages of workers in nontradable sectors. These effects appear to be spread consistently across different kinds of nontradable activities. In terms of substantive wider impacts, tech appears benign, though fairly ineffectual.     

Nonlinear capital market payoffs to science-led innovation

This study explores the extent to which cross-sectional differences in firms’ propensity to absorb and utilize scientific knowledge matter for their stock market and operating performance. Unlike previous empirical studies and given the coexistence of both benefits and potential costs to science-guided search, I conceptualize innovation as a recombinant search to hypothesize a non-monotonic relationship. Using patent data from the European Patent Office (EPO) relative to 3281 international firms over the 1999–2015 period, empirical tests yield evidence in support of the predictions. However, the effect varies with firm-level absorptive capacity, across industries and countries. As suggested by a limited attention model, I find a stronger payoff predictive power of science for firms with lower investor attention and higher valuation uncertainty. Besides, the association between science and future operating performance increases with time, indicating that firms’ scientific capabilities are a potent driver of long-term profitability. The conclusions are robust to controlling for the endogenous nature of firms’ use of scientific knowledge. By providing a useful basis upon which to judge the economic merit of firms’ innovation endeavors, this study contributes to reducing capital market imperfections that curtail access to external finance and ultimately spurring private-sector investment in R&D. It also provides evidence of diminishing marginal payoffs to science-led search. Finally, the evidence is likely to be relevant to policymakers, who might wish to influence the innovation ecosystem in a way to sustain long-term prosperity.