This paper reconciles the debates on carbon return estimation by introducing the concept of equity duration. Our findings reveal that equity duration effectively captures the multifaceted effects of carbon transition risks. Regardless of whether carbon transition risks are measured by emission level or emission intensity, brown firms earn lower returns than green firms when the equity duration is long due to discount rate channel. This relationship reverses for short-duration firms conditional on the near-term cash flow. Our analysis underscores the pivotal role of carbon transitions' multifaceted effects on cash flow structures in understanding the pricing of carbon emissions.

The study aims to explain the economic impact of Internet implication in tourism sector by taking sample of mega project listed countries (which provide big pitch to boost tourism business). Our work find the volatility cause of tourism revenue at country i, by examining the inbound tourist expenditures as a factor of technological infrastructure. We deploy data ranging from 1990 to 2017 and uses error correction model as representative of Autoregressive-Distributed Lag (ARDL) model after addressing diagnostic tests (for data reliability concern). We found long- and short-run association between tourism expenditure and information and communication technology (ICT) proxies in case of developed economies, while only short-run association in underdeveloped countries. The startling scenario about underdeveloped economies are also confirmed by one-way causation in our analysis. After sensitive analysis at each slot, the study concludes that tourism revenue is streaming low across those boundaries where tourists a

This paper explores the factors that influence redistributive preferences in the context of significant economic transformation, focusing on the transition premium and growth. Using an online survey experiment with a nationally representative sample from China, we find that priming getting rich via relatively less meritocratic, yet representative ways under market transition in post-reform China reduces redistributive support, specifically for policies that aim to take from the rich and the belief in the government’s duty to redistribute, indicating the presence of a set of fairness views in China that deviate from the conventional meritocratic paradigm. Heterogeneous treatment effects analyses reveal that such non-meritocratic fairness views are a general phenomenon, and self-interest in the form of subjective economic pressure only serves as a secondary concern. While people feel that the rich are more deserving and demand less redistribution regardless of subjective economic pressure, only those under less economic pressure exhibit decreased support for policies that aim to help the poor. These representative ways of getting rich under market transition are similarly fair compared to winning a lottery, far less fair than a self-made entrepreneur, but much more legitimate than acquiring wealth through corruption. Priming China’s growth story does not result in statistically significant changes in redistributive support. Additionally, we rule out the influence of three relevant confounders: low tax salience, preference falsification under authoritarianism, and misperceptions about relative income positions and intergenerational occupational mobility. We argue that such non-meritocratic fairness views are particularly salient in societies that break away from a centrally-planned economic system in the past and transition towards a high-growth market economy, where economic opportunities are becoming more inclusive.

This paper reconciles the debates on carbon return estimation by introducing the concept of equity duration. We demonstrate that emission level and emission intensity yield divergent results for green firms, driven by inherent data problems. Our findings reveal that equity duration effectively captures the multifaceted effects of carbon transition risks. Regardless of whether carbon transition risks are measured by emission level or emission intensity, brown firms earn lower returns than green firms when the equity duration is long. This relationship reverses for short-duration firms. Our analysis underscores the pivotal role of carbon transitions’ multifaceted effects on cash flow structures in understanding the pricing of carbon emissions.

This paper focuses on how Chinese and global economic policy uncertainties (CNEPU and GEPU) and geopolitical risks (CNGPR and GGPR) affect the growth of inbound tourism in China using ARDL and NARDL models as well as monthly series of Chinese inbound tourism revenue and arrivals. Firstly, we find significant effects of CNGPR and GGPR as well as GEPU on the growth of inbound tourism in Hainan Province and even in China nationwide, while the impact of CNEPU is limited. Among them, GEPU always has a significant long-term negative impact on inbound tourism growth (both inbound tourism revenue and inbound tourism arrivals). However, CNGPR has a significant short-term negative impact on inbound tourism growth in China nationwide but it has a significant long-term negative impact on inbound tourism growth in Hainan Province. Besides, estimation results of NARDL model further show the significant short-term effects of GEPU and GGPR on the growth of inbound tourism arrivals in Hainan Province and even in China nationwide, and such short-term effects are always significantly asymmetric. Among them, the negative components of GGPR can always more influence the growth of inbound tourism arrivals. However, the positive components of GEPU can more influence the growth inbound tourism arrivals in Hainan Province, but the negative components of GEPU can more influence the growth of inbound tourism arrivals in China nationwide.

Using data from Chinese A-share listed firms from 2015 to 2022, a difference-in-differences model is employed to empirically examine the impact of bankruptcy regimes, marked by the establishment of the bankruptcy court, on firms’ total factor productivity (TFP). The results show a significant decline in TFP among firms in regions following the establishment of the bankruptcy court. This result remains valid after a series of robustness tests. Mechanism tests reveal that bankruptcy court heightens firms’ risk aversion by endowing excessive rights to creditors. Consequently, firms tend to downwardly adjust capital structure, curtail innovation investment, and accumulate liquid assets as coping measures, ultimately contributing to a decline in TFP. However, well-developed market mechanisms can alleviate the negative impact of bankruptcy court excessively protecting creditors. Specifically, when firms are located in regions with weak government intervention and strong financial development, as well as in market environments with low uncertainty and strong competition, this negative impact can be mitigated. Moreover, we find that under bankruptcy court operations, while a series of risk reduction measures taken by firms triggers a decline in TFP, it mitigates the risk of financial distress. These findings provide fresh insights into the dual nature of creditor protection and offer valuable references for governments to improve the bankruptcy legal system.

In recent years, the attempt to curb state-owned enterprises (SOEs) has resulted in dedicated rules in trade agreements. This paper reveals significant paradigm shifts in cross-border SOE regulation by exploring the emerging SOE rules and contrasting them with SOE disciplines in WTO agreements. First, the emerging SOE rules shift the emphasis from regulating trade measures to the competitive behaviour of SOEs. More importantly, the emerging SOE rules are characterized by excessive focus on behaviour analysis and a per se approach. Under a per se approach, a violation of the emerging SOE rules could be established regardless of whether the behaviour of an SOE caused a harmful trade or competition effect. Finally, in light of SOE reform in China, the article contends that the emerging SOE rules’ behaviour analysis deviate cross-border SOE regulation from its primary goal of levelling the playing field.

Combining daily personnel records of an unlisted manufacturer with stock market data, we find that market overnight returns negatively predicts same-day worker output. The effect is greater on Mondays and extreme overnights. Analysis suggests that the stock market attracts (discourages) public attention when the overnight returns are extremely positive (negative), consistent with humans’ natural tendency of incorporating good news while discounting bad news. As a result, employees at work are disproportionally distracted by positive overnight returns, leading to reduced output. Additional evidence suggests that our results can hardly be explained with alternative distraction events or workers’ stock wealth concerns. This study reveals a novel channel through which the financial market shapes labor supply.

In forecast surveys of aggregate macroeconomic and financial variables, the correlation between forecast errors and forecast revisions is positive at the consensus level, but negative at the individual level. Past literature has interpreted this discrepancy as evidence of underreaction to news at the aggregate level and overreaction at the individual level. In this paper, I challenge this view by arguing that noise in predictive judgment can account for the difference. Using a stylized model, I examine how introducing judgment noise at the individual level changes the interpretation of the correlation coefficients. First, a negative coefficient at the individual level no longer necessarily means overreaction. Second, the coefficient at the consensus level underestimates the degree of underreaction. Using forecast survey data, I provide evidence that judgment noise is large enough to reconcile the difference between the two coefficients. The structural parameter measuring over-/underreaction mainly points to underreaction, regardless of whether the model matches correlation coefficients at the individual or aggregate level.

This paper employs Autoregressive Distributed Lag (ARDL) models and monetary base growth to construct an exogenous and comprehensive monetary policy measure in China, where various monetary policy instruments co-exist, and the operational and intermediate targets are changing over time. Our methodology relies on the market equilibrium relationship instead of ad hoc policy rules and strict identiffcation assumptions, hence is robust to monetary policy frameworks in any economy. The empirical results show that the active monetary base growth (AMBG ) constructed via the ARDL models is an excellent description of the behavior of People’s Banks of China across time, and generates impacts on macro variables consistent with implications of macro theory when used in VAR analyses.