Prefabricated buildings(PBs) have significant advantages in improving construction efficiency, saving resources, and reducing environmental pollution. They have become an important direction for transforming and upgrading the global construction industry. However, the high construction costs have severely restricted their large-scale adoption. To systematically explore the key influencing factors and the mechanism of the construction cost of PBs, this study uses the method of combining interpretative structural model (ISM) and structural equation model (SEM), identifies the main influencing factors by synthesizing literature and data analysis, analyze hierarchical relationships between these factors via ISM, and quantifies the influence intensity and mechanism of the construction cost by SEM method. The results show that the driving factors of the construction cost of PBs can be divided into several levels. The core factors, such as the assembly rate, the production scale of prefabricated components, the integration of design management, the technical level of designers, and the specialization of prefabricated components in the factory, play a crucial role in cost optimization. In conclusion, this study deeply reveals the impact mechanism of the construction cost of PBs, offers practical guidance for reducing construction costs and optimizing resource allocation, and provides a scientific basis for government policy-making and enterprise strategic decision-making.

This paper examines the impact of social distrust on household saving in China using a microsample from the China Family Panel Studies (CFPS). We find that social distrust leads to an increase in savings within households, in which households not living alone, with higher levels of education and urban households are more affected. We also find that social distrust affects household savings through raising risk expectations, reducing credit availability and amplifying risk spillovers from real estate markets.

This paper represents the first attempt to show how heterogeneous shock experiences help explain the enduring scars on household future behaviors. Using a large-scale household survey with 15,652 observations combined with geospatial transportation big data, we identify a novel belief-updating mechanism through which crises may exert prolonged impacts on household asset allocation and consumption patterns. An increase in the duration of previous lockdown experience is associated with a 10.52% escalation in enhanced anxiety for future precautionary saving motivations. This experience-based learning perspective supports the resolution of long-lasting overreactions to negative shocks via belief revisions and extends to households’ consumption behaviors. The lingering effects continue to skew households' beliefs even when conditions improve. Additionally, households with different individual-based shock experiences may exhibit varying perceptions of external shocks, resulting in disparate belief revision processes.

We investigate the effect of the Consumer Financial Protection Bureau’s 2015 disclosure of complaint narratives on reducing racial disparities in financial services. Employing a triple-differences approach that compares the performance of affected and unaffected financial institutions across communities with varying racial compositions, we find that post-disclosure, minority communities experience welfare enhancements. These include higher savings interest rates (amounting to over $50 million annually), reduced maintenance fees, and lower interest rates on auto loans and credit cards. The research emphasizes the broad impact of service quality disclosure in mitigating racial disparities in savings and lending markets.

The implementation of prefabricated housing (PH) has become prevalent in China recently because of its advantages in improving production efficiency and saving energy. However, the benefits of adopting PH cannot always be accrued by the stakeholders because of the arising transaction costs (TCs) in the projects’ development process. This study investigates the strategies for developers to make rational choices for minimizing the TCs of the PH project considering their own attributes and external constraints. A Bayesian Belief Network model was applied as the analytical method, based on the surveys in China. The single sensitive analysis indicated that developers influence the TCs of PH through the three most impactful factors: Prefabrication rate, PH experience, and Contract payment method. Furthermore, combined strategies were recommended for developers in various situations based on the multiple sensitivity analysis. Developers facing high prefabrication rate challenges are suggested to reduce the risks by procuring high-qualified general contractors and adopting unit-price contracts type. For developers with limited PH experience, adopting the Engineering-Procurement-Construction procurement method is the most efficient in reducing their TCs in the context of China’s PH market. This study contributes to the current body of knowledge concerning the effect of traders’ attributes and choices on TCs, expanding the application of TCs theory and fulfilling the study on the determinants of TCs in construction management.

Using an extended overlapping generations (OLG) model, we theoretically prove that functional inequality resulting from weak labor bargaining power can be a key driver of high saving rates, as observed in China and other labor- abundant Asian emerging markets. Income distribution that favors capital over labor may attract excess capital investments and hence lead to high saving rates. The link between inequality and saving is especially prominent for the household sector because excess return on capital motivates the working-age population to increase their retirement savings. We also find empirical support for our theoretical predictions using China’s sectoral-level data.

This paper explores the relationship between longevity risk and health status transition under the framework of life cycle model to explore the optimal insurance allocation including annuity and nursing insurance under different incidence scenarios and the old-age security needs of residents Based on the data from China Health and Pension Tracking Survey (CHARLS), this paper calculates the health state transition probability of residents and calibrates the health state transition probability by using the mortality data of Lee-Carter model, and then solves the optimal insurance decision of residents under different incidence scenarios by multi-period life cycle model The results show that the demand for first annuity and nursing insurance is influenced by initial endowment, health status, minimum living and bequest motivation Residents with lower initial endowments are reluctant to buy annuities and nursing insurance because of precautionary savings motivation Expenditure on care insurance when purchasing both annuities and care insurance may weaken the demand for annuities Secondly, under the interaction of longevity risk and health status transition, residents have higher disability probability and higher demand for annuity and nursing insurance under the scenario of expanding incidence Thirdly, under the optimal wealth decision, the optimal allocation of annuity and nursing insurance makes the wealth level of residents more stable

The New Cooperative Medical Scheme (NCMS) rolled out in China from 2003-2008 provided insurance to 800 million rural Chinese. We combine aggregate mortality data with individual survey data, and identify the impact of the NCMS from program rollout and heterogeneity across areas in their rural share. We find that there was a significant decline in aggregate mortality, with the program saving more than one million lives per year at its peak, and explaining 78% of the entire increase in life expectancy in China over this period. We confirm these mortality effects using micro-data on mortality, other health outcomes, and utilization.

I show that issuing credit cards helps the bank compete for retail deposits in China. When credit card growth increases by 1%, retail deposit growth is expected to rise by 0.2% with regard to peers next year. This effect is stronger for small joint-stock banks compared with big state-owned banks. This is realized by introducing new credit card holders to visit the branch and open a savings account. DID test shows that after a shock that tightened new account opening, banks with higher credit card growth experienced a harsher decline in retail deposit growth. This paper highlights the customer introducing benefit of credit card promotion, which can provide an alternative explanation for the intensified competition in the credit card market in China. It also unveils the strategy that small banks can use to compete for the deposits of big state-owned banks, who intrinsically has more branches and retail customers.

We analyze the effects of exposure to industrial robots on labor markets and household behaviors,exploring longitudinal household data from China. We find that a one standard deviation increase in robot exposure led to a decline in labor force participation (-1%), employment (-7.5%), and hourly wages (-9%) of Chinese workers. At the same time, among those who kept working, robot exposure increased the number of hours worked by 14%. These effects were concentrated among the less educated and larger among men, prime-age, and older workers. We then explore how individuals and families responded to increased exposure to robots. We find that more exposed workers increased their participation in technical training and were significantly more likely to retire earlier. Despite the negative impact on wages and employment, we find no evidence of an effect on consumption or savings, which is explained by an increase in borrowing (+10%). While there is no evidence of an effect on marital behavior, we document that robot exposure led to a small decline in the number of children (-1%). Finally, we find that robot exposure increased family time investment in the education of children (+10%) as well as the investment in children’s after-school academic and extra-curricular activities (+24%).