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.

Drifting in the direction of earnings surprises for a prolonged period is a decades-puzzling financial anomaly, i.e., the “post-earnings-announcement drift” (PEAD). This paper provided a new simple measure of earnings surprise called ORJ. Based on ORJ, not only is the medium effect of investors’ attention on the relationship between earnings surprises and PEAD analyzed, but a tractable and profitable investing strategy is provided. Through comprehensive empirical analysis of the Chinese stock market, we found that i) both earnings surprises and investor attention can increase the degree of PEAD; ii) “good” (bad) earnings surprises strengthen (weaken) the degree of drift by attracting (decreasing) investor attention; it is asymmetric that the positive effects of “good” earnings surprises are stronger than that of “bad” earnings surprises on PEAD; and iii) the strategy obtains an average 6.78% return per quarter in excess of the market and only longs dozens of stocks . iv) Typical pricing factors such as the Fama-French three factors, illiquidity and company characteristics have little explanatory power for the returns of the strategy. This paper strongly shows the importance of monitoring overnight returns of earnings announcements to digging the unexpected information, reveals one mechanism of earnings surprises on PEAD and demonstrates the potential profitability of PEAD in the Chinese market.

This study focuses on the unexplored informational role of labour dividend in the municipal corporate bond (MCB) market given China’s distinctive institutional origins. We aggregate the annual employments of public firms to the prefecture-city level and find that the firms’ employments aggregated are positively associated with contemporaneous scale of the MCB, whereas negatively associated with the issuing rate of the MCB. In the further analyses, we find that this information externality is conditional on the attributes of the employment characteristics (i.e., education, functional departments, and ownership nature). Mechanism analyses indicate that information accessibility, processing, dissemination, and efficacy are important channels through which the aggregate labour intensity is mobilized. And such information externality is reinforced after an institutional change enhancing the authenticity of employment information. This paper echoes previous studies of the macro value of aggregate accounting information and enriches the literature in labour and finance by highlighting that the labour dividend still exists and triggers MCB issuance in China.

Despite the lack of electoral accountability, China has built an expanding welfare system that is set to include most citizens. Why does China defy the conventional prediction of an exclusive autocratic welfare state? This paper looks at the critical time when China first established its social security system in the 1990s and argues that the state adopts a “demand-driven strategy” where the redistribution effort varies with the expected collective action of economic losers. Analyzing an original granular county-level dataset of China’s laid-off workers and social security taxation, the paper finds that a group of newly-emerged economic losers, precipitated by state policy, drives the local states’ efforts to redistribute. In particular, the number of laid-off state-owned enterprise workers explains 46% of the variations in social security collection among non-state-owned enterprises. Instrumental variable estimation, with legacy state-owned enterprises established in historical contingencies as the instrument for laid-off workers, shows consistent results. Further analysis on mechanisms demonstrates that layoffs lead to an increase in SOE protests, which in turn foster greater redistribution.

This paper examines analysts’ catering behavior to current investor demand proxied by the unbalanced stock market reactions towards optimistic forecasts and nonoptimistic forecasts (optimism premium). Using data on earnings forecasts issued by Chinese sell-side analysts during the period 2014-2018, we find that optimism premium significantly increases analysts’ tendency to issue optimistic forecasts, in other words, analysts do cater to investor demand. Implications for theory and practices are discussed.

This paper studies the impact of political dynamics on corporate environmental investments. Employing data collected manually on the turnover of municipal government officials in China as a proxy for political dynamics from 2007 to 2020, we find that these dynamics drive an uptick in corporate green investments, aligning with the principles of resource dependency theory. The influence of political dynamics on green investments becomes more pronounced when companies grapple with external economic and political uncertainties. Additionally, this effect is most pronounced among energy sector companies and non-state-owned enterprises (SOEs). Despite the observed surge in green investment activity due to political dynamics, we reveal a tendency towards over-investment in green initiatives, subsequently diminishing overall firm investment efficiency under current political conditions. This study advances knowledge regarding how political dynamics influence enterprises' sustainability practices and provides valuable insights for businesses navigating the implications of their pursuit of environmentally responsible development.

This paper will partially solve the puzzle of implied volatility spreads from the perspective of short-selling (option-implied borrowing rate). Specifically, we use Chinese SSE 50 ETF options data to examine the relationship between the option-implied volatility spreads and option-implied borrow rate. Using nonparametric regression models, we find that there is a clear negative correlation between the implied volatility spreads and the implied borrowing rate. Furthermore, our results show that there is a significant nonlinearity between these two variables. Finally, it is interesting to note that the option volatility spreads are zero when the option prices include the short selling cost.

Fighting global warming has become a vital requirement for environmental sustainability. Green finance has gained popularity as a promising mechanism for transitioning to a lowcarbon economy. Thus, this paper investigates whether excess green financing increases renewable energy capacities and enhances environmental quality from 1992Q1 to 2020Q4 in China, one of the major CO2 emitters. We primarily used the method of moments-quantile regression with fixed-effect models. First, we found nonlinear U-shaped impacts of green finance on wind power capacities in all Chinese regions, thermal power capacities in the Western and Central areas, and hydropower capacities in Eastern China, respectively. Second, we confirmed an inverted U-shaped impact of green finance on CO2 emissions in the Eastern region but U-shaped effects in the Western and Central regions. The impacts of green finance were asymmetrical due to the heterogeneous distributions of renewable energy sources and environmental quality within and between regions. Green finance mostly improved environmental quality when certain conditions and thresholds were met. Third, green finance had substantial marginal effects on environmental quality in the least polluted provinces (Q.20) in Western China and the most polluted provinces (Q.80) in Eastern China. Finally, there were heterogeneous effects of oil prices, urbanization, foreign direct investments, and trade openness on renewable energy consumption and environmental quality across Chinese provinces. Accordingly, this study provides some policy recommendations for China’s sustainable development, a key example from which the international community can adjust its green policies.