As the primary source of innovation in science and technology, the gathering of creative talent plays a significant role in fostering regional innovation and providing the impetus needed to realize the Chinese people’s aspiration of a great national rejuvenation. Using panel data from 31 provinces over a 12-year period between 2009 and 2020, the spatial Durbin model is constructed to examine the spatial spillover impact of talent agglomeration on the advancement of regional innovation performance, and the panel threshold model is identified and set up to consider whether the nonlinear effect between talent agglomeration and regional achievements in innovation is significant. The analysis demonstrates that: talent pooling has a non-linear effect on the level of innovation performance development, within a certain scale, talent pooling produces an increasing marginal contribution to innovation performance, but after exceeding the limit, it produces a diminishing marginal contribution; the double threshold effect of talent pooling on regional innovation performance is more significant, and government support as a moderating variable confirms that there is a structural mutation between talent pooling and innovation capability. The structural mutation, within a certain threshold range, plays the role of efficient promotion, providing reference for improving regional innovation level.

To promote the coordinated development of high quality postgraduate education and economy is the realization of all-round construction of the socialist modernization of China power.Based on the panel data of 30 provinces in China from 2009 to 2021, this paper constructs the index of graduate education and high-quality economic development respectively, and analyzes it by coupling coordination model, kernel density estimation and spatial Markov chain model.The results show that: first, the postgraduate education and the high economic quality of most provinces in China are matched, but there is a significant difference between the eastern and western regions in their collaborative development; Second, the level of synergistic development between graduate education and high economic quality is low, and the central and northeastern regions are seriously divided, but the differences in synergistic effects between different regions are narrowing.Third, according to the results of trend prediction, there is the coexistence of "beggar-thy-neighbor" and "good-neighborliness", and it is difficult to achieve leapfrog coordinated development.Therefore, it is proposed to pay attention to the high-quality economic development to provide a rich material basis for graduate education, the change of graduate education structure should adapt to the needs of high-quality economic development, and implement different reform measures in different regions to promote the comprehensive construction of a modern socialist country.

The quantitative analysis of the economic impact of climate risk is an effective means of understanding and taking reasonable preventative steps in relation to the climate-related economic crisis. This paper takes panel data from China’s 31 provinces for 2009 to 2021, combined with a regulating intermediary effect model, to determine the climate risk faced in China and its influence mechanism on high-quality economic development, in an attempt to determine how to adjust the path. The results show that, first, when using a different regression model, we see that climate risks pose a significantly inhibiting effect on high-quality economic development in China. Secondly, when the climate risk increases by 1%, high-quality economic development drops by 0.0115%. When the climate risk increases by 1%, this leads to a 14.9672% increase in the likelihood of natural disasters, causing high-quality economic development to be indirectly reduced by 0.1300%. Thirdly, green innovation has a multidimensional effect; it can both directly and indirectly impact the negative effects of inhibition, and indirect adjustment has a greater effect than direct adjustment. Such regulation has a greater effect on the input than on the output. Therefore, we should seek to more accurately understand the dangers of climate risk, effectively improve the five aspects of development, and strengthen the input of green innovation and thus the output of high-quality economic development in China.

The global attention on industrial policy’s effectiveness spans across various sectors, particularly in international trade where the focus is on enhancing the quality of foreign trade, which is crucial to understand how research hotspots and key issues can synergize. We consider the 2018 "new round" of Sino-US trade friction as an external event and analyze panel data from 2009 to 2022 comprising 1141 Chinese A-share listed enterprises. Our empirical research unequivocally demonstrates that industrial policy has significantly propelled China’s foreign trade towards high-quality development by 1.8240%. We conducted rigorous tests for robustness, heterogeneity, and endogeneity. Additionally, our results reveal that inhibitory influences arising from industrial policy on total assets or R&D investment attenuate this promotion effect; There exists a diminishing promotion effect between total assets and R&D investment. Our paper provides valuable insights into understanding their logical relationship while offering guidance for enterprises, markets, and governments in overcoming challenges collectively.