In the face of the world's trend towards green development and sustainable energy, China started the "Ten Cities, Thousand Cars" project in 2009, which was one of its major plans to cut down emissions and encourage green technology. To speed up the industrialization of NEVs via demonstration and promotion, it began with 10 cities and 1000 cars. This paper uses a difference-in-differences approach to assess the impact of the program on technological innovation using panel data on automotive companies listed on the Shanghai and Shenzhen A-share market from 2007 to 2014. The sample contains both pilot and non-pilot city firms, making it possible to make a clean comparison. The results show that joining the pilot cities greatly improves the number of innovations measured by patents filed and increases the R&D intensity of NEV companies. Evidence shows that the policy works mainly by easing firms' financing problems, probably because of subsidies and better chances to get money for loans, so they can put more money into being innovative. Heterogeneity tests show that the innovation effect is stronger for bigger firms, which fits with them having more power to use policy help. In general, this program does succeed at spurring technological progress among individual companies and helping spread green car tech. These findings give some ideas about how to make industrial policies that help create sustainable innovation in growing countries.

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The international health crisis that struck the world in early 2020 has resulted in an unprecedented systemic outage and caused the macroeconomic ecosystem to attempt an abrupt and incoherent shift to remote operation. Although there is extensive literature on how damaging such recessions can be on aggregate employment and other conventional industries, one key reason behind this study is to find out the reasons why some digital infrastructure companies became shock-absorbers and recorded unprecedented growth. Considering Zoom Video Communications, this paper explores the niche mechanics that gave a niche enterprise software a chance to monopolize this new macroeconomic demand. The research methodology used in the study is literature review of institutional articles, combined with company-level financial reports. In addition, this research performs a totality analysis of data on it based on the U. S Census Bureau Business Dynamics Statistics (BDS) in order to quantify job reallocation among sectors. The results also indicate that the crisis was a violent accelerant of reallocation of resources destroying employment in the physical sectors, and increasing the information sector considerably. In conclusion, this paper derives that outstanding corporation achievement during a harsh crisis cannot be simply ensured by the efficiency of the product; but by the ideal timing of a frictionless service hitting a colossal exogenous shock.

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Driven by policies and market demands, enterprise green innovation is hindered by financing constraints. This paper conducts an empirical study using panel data of A-share listed enterprises from 2007 to 2022 based on the theoretical model of patient capital's influence on green innovation. Findings show: (1) Patient capital significantly promotes corporate green innovation; (2) It indirectly boosts green innovation by facilitating the construction of a unified national market and enterprise digital transformation; (3) Its promoting effect presents heterogeneity—more significant in the central region, large enterprises and non-state-owned enterprises. Finally, policy suggestions are put forward from optimizing patient capital investment structure, advancing the unified national market construction, and guiding the integration of digital and green technologies.

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This paper examines whether China's National Smart City Pilot Program (NSCP) reduces the pool of star inventor resources in listed companies. Using a multi-period Difference-in-Differences model, it finds a significant decline in star inventors at pilot enterprises following policy implementation, with the effect more pronounced among firms reliant on government subsidies or with digital strategies misaligned with government plans. Mechanism analysis identifies tighter financing constraints and the crowding-out of corporate capital expenditures as key drivers. The study recommends optimizing resource allocation to avoid the "policy siphon effect" and expanding innovation support for non-pilot firms to sustain a balanced and efficient innovation ecosystem.

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