Portfolio underdiversification is one of the most costly losses accumulated over a household’s life cycle. We provide new evidence on the impact of financial inclusion services on households’ portfolio choice and investment efficiency using 2015, 2017, and 2019 survey data for Chinese households. We hypothesize that higher financial inclusion penetration encourages households to participate in the financial market, leading to better portfolio diversification and investment efficiency. The results of the baseline model are consistent with our proposed hypothesis that higher accessibility to financial inclusion encourages households to invest in risky assets and increases investment efficiency. We further estimate a dynamic double machine learning model to quantitatively investigate the non-linear causal effects and track the dynamic change of those effects over time. We observe that the marginal effect increases over time, and those effects are more pronounced among low-asset, less-educated households and those located in non-rural areas, except for investment efficiency for high-asset households.

Increasing greenhouse gas emissions, especially CO2, pose a serious challenge worldwide. Digital financial inclusion can help alleviate liquidity constraints and accelerate the green transformation of production, changing how and what households consume. This change can impact households’ indirect CO2 emissions. However, empirical research on the nexus between digital financial inclusion and households’ indirect CO2 emissions, especially from a microscopic perspective, has remained scant. This study investigates the impact of digital financial inclusion on households’ indirect CO2 emissions using a survey panel dataset of 13,624 Chinese households. The results show that digital financial inclusion promotes households’ indirect CO2 emissions.This finding is robust to the alternative model specifications and methods.Further analyses based on the mediation model show that digital financial inclusion increases households’ indirect CO2 emissions by promoting subsistence and development consumption upgrades. In addition, the effects of different services of digital financial inclusion are heterogeneous. Payment, credit, and credit investment services are positively and significantly related to households' indirect CO2 emissions, whereas other services are not. Overall, our findings provide evidence of the social benefits of digital financial inclusion policies and also have several implications for addressing environmental problems.

Evidence from the U.S. and Europe suggests that current risk assessment tools used by researchers and financial professionals to determine individuals’ risk tolerance and provide suitable portfolio recommendations may be flawed due to “mis”perceptions of risk. Limited research has examined the reliability of these tools as measures of relative risk tolerance for households in emerging economies like China. This study develops a multidimensional index of risk tolerance specifically tailored for Chinese households using a psychometric approach. The effectiveness of this multidimensional index in predicting individuals’ financial decisions is tested and compared to traditional unidimensional measures of risk tolerance commonly used in developed countries. The findings indicate that multidimensional measures are more consistent and significant predictors of Chinese households’ investment decisions. Additionally, the study uncovers evidence that cultural differences, related to market expectations and social networks, which are often overlooked in U.S. and European models, play a crucial role in shaping individuals' risk perceptions and investment choices in China. Robustness checks were conducted to account for potential endogeneity between risk tolerance and investment decisions. The findings provide valuable insights for researchers and financial professionals seeking to develop more accurate risk assessment tools that capture risk attitudes and perceptions in China and other developing countries. By adopting a multidimensional approach that accounts for cultural and psychosocial factors, these improved tools can enhance the precision of risk evaluation and facilitate more appropriate investment recommendations.

Using unique survey data from the China Household Finance Survey, we estimate the extent of “narrow framing”, which is a widely documented behavioral bias, among Chinese households, using their portfolio choices. Conditional on stock market participation, we find that most Chinese households exhibit significant narrow framing. Based on the obtained estimates, we show that narrow framing positively predicts the extent of under diversification. Most importantly, we argue that narrow framing is an irreplaceable of understanding households’ portfolio choices, even after considering measurement error and a wide set of indicators of diversification