Obscuring effect of income inequality and moderating role of financial literacy in the relationship between digital finance and China's household carbon emissions

Households have emerged as one of the primary sources for carbon emissions in China, thus posing challenges to the "dual carbon" objectives. Digital finance, an emergent form of industry that fused advanced technology with financial services, had a pronounced impact on household carbon emissions stemming from daily consumption. However, the mechanisms driving this impact have not been adequately examined. Based on micro-level household survey data across 25 Chinese provinces from 2012, 2014, 2016, and 2018, the study identified the chief channels via which digital finance affected household carbon emissions, deriving several key findings. First, digital finance augmented household carbon emissions, presenting a significant negative impact on the climate. Second, due to the existence of "digital divide" between rural and urban areas, the impact of digital finance was more subdued in rural areas. Additionally, the effects of digital finance were more pronounced in the affluent eastern provinces. Third, income mobility obscured the positive relationship between digital finance and household carbon emissions. This is primarily attributed to the urban-rural divide in China; taking into account that urban-to-rural transfers make income distribution more equitable, there is a counterintuitive drop in per capita consumption, thereby suppressing consumption-related carbon emissions. This presented the conundrum of "income distribution equality-consumption negativity". Finally, financial literacy was identified as a crucial positive moderating role, enabling households with high financial literacy to harness the dividends of digital finance, thereby engaging in more diversified consumption activities and intensifying the negative impact of digital finance on carbon emissions. The findings reinforced the pivotal role of digital finance in bolstering efforts to combat climate change and ensuring environmentally-responsible economic advancements.

Has digital finance widened the income gap?

Using the statistical data of 280 prefectural-level cities in China from 2011 to 2020, this paper empirically tests the relationship between digital finance and residents' income in a linear and nonlinear model based on the G-J model theory, respectively. The study aims to discuss and analyze the impact of digital finance development on income distribution in the context of the current situation of digital finance development in China and further explore how to make digital finance better regulate the income distribution of residents. The innovation of this paper is to use two nonlinear methods to verify the Kuznets effect and threshold characteristics of digital financial development affecting the income distribution of residents based on linear analysis and explore the relationship between n digital economic development the current income gap more comprehensively. The study shows a Kuznets effect of digital finance development on the income distribution of Chinese residents. Thus, most regions in China have not yet crossed the inflection point of the bell-shaped curve, and the income gap within areas will continue to increase with the development of digital finance. By constructing a threshold model, it is found that the positive effect of digital finance on income disparity may initially increase with the increase of regional economic level. Still, when the regional economic development reaches a higher stage, the effect will tend to fall back. As a result, the negative impact of digital finance development on residents' income distribution will be significantly reduced at that time.

Attitudes Toward Women’s Work and Family Roles in the United States, 1976–2013

We examine time period and generational differences in attitudes toward women’s work and family roles in two large, nationally representative U.S. samples, the Monitoring the Future survey of 12th graders (1976–2013) and the General Social Survey of adults (1977–2012). Twelfth graders became more accepting of working mothers and equal roles for women in the workplace between the 1970s and the 2010s, with most change occurring between the 1970s and the late 1990s. Acceptance of dual-income families and fathers working half-time or not at all (stay-at-home dads) also increased. Thus, for the most part, Millennials (born 1980s–1990s) have continued trends toward more egalitarian gender roles. However, slightly more 12th graders in the 2010s (vs. the late 1990s) favored the husband as the achiever and decision maker in the family. Adults’ attitudes toward working mothers became more egalitarian between the 1970s and the early 1990s, showed a small “backlash” in the late 1990s, and then continued the trend toward increased egalitarianism in the 2000s and 2010s. In hierarchical linear modeling analyses separating the effects of time period, generation/cohort, and age, trends were primarily due to time period with a generational peak in egalitarianism among White women Boomers (born 1946–1964). Policy makers should recognize that support for working mothers is now a solid majority position in the United States and design programs for working families accordingly.