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.

To avoid illiquidity spillovers and basis risk in swaps, interbank lenders are especially cautious about whether interbank borrowers can meet their claims. We examine whether the incentive of interbank lenders to penalize risky borrowers can reduce borrowers' liquidity risk taking. We find that interbank borrowers, especially small and medium banks, manage their liquidity risks more prudently than their counterparts. This phenomenon is especially significant for borrowers with high information asymmetry, low liquidity buffers, and high funding gaps. Our results suggest that interbank exposure reduces the asset, funding, and off‐balance‐sheet liquidity risks of small and medium borrowing banks, and can therefore supplement regulatory liquidity requirements, which target only the largest banks.

We examine the interest rate pass-through in Hong Kong (HK) and Macao to see if the monetary policy transmission mechanism has been impaired since the Global Financial Crisis (GFC). Our results show that, in the post-GFC period, both the long-run and short-run interest rate pass-through from policy rates to prime rates have disappeared in Macao and weakened significantly in HK. The long-term relationship between deposit rates and policy rates no longer exists in either market while the short-term relationship has been reduced significantly. The results indicate that the effectiveness of the monetary policy in HK and Macao has been seriously undermined after the GFC and alternative monetary policy tools were needed.

This study shows that investment decisions drive tail risks (i.e., systemic risk and stand-alone tail risk) of TBTF (Too-Big-to-Fail) banks, while financing decisions determine tail risks of non-TBTF banks. After the Dodd-Frank Act, undercapitalized non-TBTF banks continue to gamble for resurrection, and their stand-alone tail risk become more sensitive to funding availability and net-stable-funding-ratio than TBTF banks. We show that implementing a slimmed-down version of TBTF regulations on non-TBTF banks cannot efficiently contain the stand-alone risk of non-TBTF banks and cannot eliminate TBTF privilege. Moreover, non-TBTF banks together generate larger pressure of contagion on the real economy, and they herd more when making financing decisions after the Act. Our findings highlight the need for enhanced regulations on the liability-side of non-TBTF banks.

This paper is about investigating how different bank liquidity creation activities affect housing markets. Using data of 401 metropolitan statistical areas/metropolitan statistical area divisions (MSAs/MSADs) of the U.S. between 1990 and 2018, we show that not all bank liquidity creation activities boost the housing markets. In particular, unlike asset- side and off-balance sheet liquidity creations, funding-side liquidity creation dampens housing markets. The relationships between liquidity creation activities and housing markets are stronger in regions with inelastic house supply, but flip when banks face external liquidity shocks. We also find that housing markets dominated by large banks are more sensitive to off-balance sheet liquidity creation activities. Finally, as expected, asset-side and off-balance sheet liquidity creations boost housing markets by driving house prices away from fundamental values. Our results offer a more thorough explanation of how bank liquidity creation fuels the momentum of housing markets.

Based on the perspective of human capital and technology R & D regulation, this paper adopts the unexpected output super efficiency SBM model to calculate the ecological efficiency of digital enterprises in 30 provinces in China from 2010 to 2019, analyzes its spatial correlation, and empirically explores the driving factors of the ecological efficiency of Chinese digital enterprises under the role of environmental regulation. The results show that during the research period, the overall level of ecological efficiency of digital enterprises in China can be divided into three stages: gentle stage (2010-2014), trough stage (2014-2017) and fluctuation stage (2017-2019), and the eastern region > the central region > the western region; The ecological efficiency of China's digital enterprises as a whole shows a ladder like evolution law of decreasing from southeast to northwest, with significant spatial agglomeration and "block" characteristics; Environmental regulation has a lag effect on the ecological efficiency of digital enterprises, and the lag period inhibits the improvement of the ecological efficiency of digital enterprises; The level of human capital and the level of scientific and technological research and development have significant threshold characteristics. When the level of human capital is used as a threshold variable, the impact of environmental regulation on the ecological efficiency of digital enterprises is "U" shaped. When the level of scientific and technological research and development exceeds a certain threshold, environmental regulation has a negative impact on the ecological efficiency of digital enterprises.

Based on three key principles, "equity, openness, and sharing," this paper assesses the relationship, and the internal mechanism driving the relationship, between urban inclusiveness and resident entrepreneurship. This includes constructing an urban inclusiveness index, and analyzing data from the 2018 China General Social Survey (CGSS). The key results indicate that multi-perspective urban inclusiveness has a significant positive effect on resident entrepreneurship. The mechanism analysis shows that urban inclusiveness can improve the probability of residents being entrepreneurial, by improving risk attitude, promoting class mobility, and expanding social networks. A heterogeneity analysis shows that urban inclusiveness has a significant impact on the entrepreneurial choice of local residents, and low-class and high-class residents; urban inclusiveness has no significant impact on the entrepreneurial choice of transient residents and middle-class residents. In addition, urban inclusiveness plays a more significant role in promoting residents’ choice of survival entrepreneurship, compared with opportunistic entrepreneurship. The research conclusions have important policy implications for constructing inclusive cities and for promoting innovation and entrepreneurship vitality.

Green innovations are crucial in promoting environmental sustainability, especially in the long run. Environmental pollution liability insurance (EPLI) facilitates firms better dealing with pollution-related risks, encouraging firms to invest in green innovation activities. This paper studies the impact of firms’ EPLI coverage on green innovation activities using data from Chinese heavily polluting firms. Results show that EPLI increases firms’ green innovations, both in terms of quantity and quality. Further mechanisms study suggests that EPLI improves the cash flow conditions and reduces agency costs of the board, which explains the positive effect of EPLI on green innovations.

This paper examines the effects of superstitious psychology on investors’ decision making in the context of Mercury retrograde, a special astronomical phenomenon meaning “everything going wrong”. Using natural experiments in the Chinese stock market, we find a significant decline in stock prices, approximately -3.14% in the vicinity of Mercury retrogrades, with a subsequent reversal following these periods. The Mercury effect is robust after considering seasonality, the calendar effect, and well-known firm-level characteristics. Our mechanism tests are consistent with model-implied conjectures that stocks covered by higher investor attention are more influenced by superstitious psychology in the extensive and intensive channels. A superstitious hedge strategy motivated by our findings can generate an average annualized market-adjusted return of 8.73%.

This paper investigates how noise trading behavior is influenced by limited attention. As the daily price limit rules of the Chinese stock market provide a scenario for the exhibition of salient payoffs, speculators elevate prices to attract noise traders into the market. Utilizing a series of distraction events stemming from mobile games as exogenous shocks to investors’ attention, we find that the gambler-like behavior, termed as “Hitting game” is crowded out. Consistent with our attention mechanism, indicators such as trading volume decline in response to these game shocks.