Innovation

Frakes, M. D., & Wasserman, M. F. (2021). Knowledge spillovers, peer effects, and telecommuting: Evidence from the u.s. Patent office. Journal of Public Economics, 198, 104425.

On the basis of combing the traditional policy effect evaluation methods such as fixed effect model, instrumental variable, difference in differences, regression discontinuity design and synthetic control method, this paper investigates policy evaluation methods under multidimensional spillover effects and emphasizes the unique advantages of spatial network models in addressing the challenges of multidimensional spillover effects.

Listed agriculture-related enterprises are one of the main bodies promoting agricultural scientific ad technology innovation, while improving its scientific and technological innovation efficiency is affected by multiple factors. Thus, this paper takes 46 listed agriculture-related enterprises in China from 2018 to 2020 as the research object, uses the DEA-Malmquist model to measure their total factor productivity of scientific and technological innovation, and then uses the fuzzy set qualitative comparative analysis (fsQCA) method to explore its main factor combination and the development path of their scientific and technological innovation efficiency.

As the main force of innovation, the scarcity of original achievements in firms has become a bottleneck that restricts the development of China’s innovation‐driven growth. The conventional static perspective ignores the dynamic characteristics of thd rhythm of government subsidies，leading to significant biases in evaluating government subsidies standardization’s impact on firms’ ambidextrous innovation (exploitative and exploratory).

Innovation is the primary driving force behind development. In the Internet era, innovation knowledge spillover is faced with two paradoxes: One is the increasing frequency of ‘online communication’ and the decreasing opportunity of ‘offline communication’, and the other is the insufficient innovation effect of ‘codified knowledge’ and the limited communication channel of ’tacit knowledge’.

Innovation, which as the first driving force for development, is the strategic support for building a modern economic system and the important guarantee for achieving sustainable and high-quality development. Under the background of the “economic new normal” and accelerating the construction of a new pattern of regional development, how to effectively promote and enhance the vitality of regional innovation and development is related to the high-quality economic development and the realization of the goal of building a powerful country with science and technology of China. It is of great practical significance to continuously promote innovation-driven development strategy and cultivate new momentum of economic development…

Acemoglu, D., Akcigit, U., & Kerr, W. R. (2016). Innovation network. Proceedings of the National Academy of Sciences, 113(41), 11483–11488.