This paper provides a feasible way to realize urban innovation through the e‐commerce pilot. Based on the data of 289 cities in China from 2002 to 2019, we examine the impact of the National E‐commerce Demonstration City pilot on urban innovation with a staggered difference‐in‐differences method. The results show that after becoming a pilot city of National E‐commerce Demonstration Cities (NEDC), the quantity and quality of urban innovation have improved. Further, NEDC policy plays a greater role in promoting innovation in economically agglomerated areas, first‐and third‐tier cities and areas with a higher degree of marketization. Finally, NEDC policy can affect the level of urban innovation by optimizing the allocation of innovation factors, improving the efficiency of credit resource allocation and forming the logistics scale effect.

We employ the data of 290 cities in China from 2006 to 2019 as a research sample and use the Multi‐period DID method to test the policy shock of National E‐commerce Demonstration Cities (NEDC) pilots on high‐end service industry agglomeration. We find that after becoming pilot cities, the specialized agglomeration level of its high‐end service industry increases by about 14.1% on average, and the diversified agglomeration level decreases by about 2.7% on average. And NEDC policy can affect the spatial agglomeration of high‐end service industry through three channels: Enhancing the inclusiveness of digital finance, improving the degree of market competition, and promoting regional innovation ability. Moreover, NEDC policy has the characteristics of spatial heterogeneity. NEDC policy has a significant spillover effect on the specialized agglomeration of high‐end service industry in the first‐tier cities, while the second‐tier cities show the characteristics of diversification dispersion. In addition, NEDC policy has a more obvious impact on the agglomeration effect of high‐end service industry under the radiation and driving effect of megalopolis.

No abstract

Based on 2010 China Family Panel Studies, we use Ordered Probit, Instrumental Variables, and Conditional Mixed Process to analyze the effect of different ways of love on after-marriage well-being. The findings are: (i) Compared with arranged marriage, free love can significantly increase the well-being of married residents. (ii) In heterogeneity analysis, the promotion effect of free love on well-being is more obvious among the couples 2 years after marriage, residents with positive personal values, the post-80s, and rural areas. (iii) In mechanism analysis, married residents who met through free love will significantly enhance their ability to get along with others, increase their intimacy with their spouses, improve family harmony, and reduce their emphasis on family succession, thus further enhancing their well-being.

We match the city-level finance digitization data from the Peking University digital financial inclusion index with the industrial pollution emissions information to study the relationship between digital finance and industrial pollution emissions. After alleviating endogenous problems with our instrument variable, we found that the development of digital finance significantly mitigates industrial pollution emissions, and the coverage and depth of digital finance also have a significant impact on industrial pollution emissions mitigation. We explain the mechanism through green personal finance and individual awareness. First, green finance programs provided on Alipay encourage greener emissions. Second, digital finance directly affects individuals’ environmental awareness and daily behaviors. Our empirical results show an average of 17.3% decrease in the industrial pollution emissions caused by digital finance.