The literature has extensively explored the relationship between trade and envi-ronment, with most studies focusing on how trade affects the environment. However, our research takes a different approach by examining how air pollution affects firms’ exports. We use Chinese export and pollution data from 2000 to 2007 at the firm and county levels. By using fine particulate matter (PM2.5) concentrations as a proxy for air pollution and employing thermal inversion as an instrumental variable, we ffnd that a 1% increase in PM2.5 leads to a 0.89% reduction in firms’ exports. We also observe this negative effect of air pollution on entry and exit (i.e., extensive margins). Our mechanism analysis identiffes two channels through which air pollution affects exports. First, air pollution decreases exports by reducing firm productivity. Second, air pollution induces stringent environmental regulations, which reduces exports as firms need to increase abatement costs or reduce production to meet the environment standards.

This paper develops a network to analyze inter-industry risk spillovers during high and low volatility periods. Our findings indicate that China's Industrials and Consumer Discretionary exhibit the greatest levels of spillovers in both high and low volatility states. Notably, our results demonstrate the "event-driven" character of structural changes to the network during periods of pronounced risk events. At the same time, the economic and financial network exhibits clear "small world" characteristics. Additionally, in the high volatility stage, the inter-industry risk contagion network becomes more complex, featuring greater connectivity and direct contagion paths. Furthermore, concerning the spillover connection between finance and the real sector, the real economy serves as a net exporter of risk. The study's findings can assist government agencies in preventing risk contagion between the financial market and the real economy. The empirical evidence and policy lessons provide valuable insights for effective risk management.

This study investigates the relationship between trade policy uncertainty (TPU) and market diversification with risk-averse firms. We build a model to demonstrate how a risk-averse firm diversifies risks stemming from escalating TPU through entering new markets whose trade policies are negatively correlated with ones in its alreadyentered markets. The positive effect of TPU on market diversification is moderated if the firm has lower risk hedging ability and/or is less risk-averse. Conditional on the TPU in the already-entered markets, there is an inverted-U relationship between TPU in the new market and the probability of entering it. Using a unique firm-productlevel dataset on Chinese exporters, we find robust evidence supporting our theoretical predictions.

This paper studies the evolution of China's production and trade patterns during its integration into the global economy. We document and explain new facts concerning changes in production and exports at the industry and firm levels using microdata and a quantitative Ricardian and Heckscher–Ohlin model with heterogeneous firms. Counterfactual simulations reveal that capital deepening made China's production and exports more capital-intensive, although labor-biased productivity growth acted as a counterforce. Consistent with the data, our model demonstrates that China's trade openness peaked around the mid-2000s and fell until the 2020s, while the world's exposure to Chinese exports rose continuously.

Chinese enterprises are currently facing unprecedented economic transformations accompanied by a diverse array of challenges. This article delves into these challenges and provides management recommendations to assist companies in addressing these pressing issues. First, China's economic growth is gradually slowing, prompting companies to explore new avenues for growth, such as diversifying their products and markets, enhancing research and development, and expanding into emerging markets. Second, the uncertain global trade landscape has impacted exports and supply chains, necessitating diversified supply chains, new trade partnerships, and proactive strategies to navigate potential trade policy changes. Additionally, the pressure of technological innovation cannot be underestimated, urging companies to increase R&D investment, collaborate with other enterprises on research, and recruit and nurture high-quality tech talent. Furthermore, with the Chinese government's growing focus on environmental concerns, companies need to invest in clean production technologies, build sustainable supply chains, and actively fulfill their social responsibilities. Other challenges including rising labor costs, intellectual property protection, financial risks, regulatory compliance, talent recruitment and retention, and digital transformation all require proactive responses. By adopting proactive management strategies, Chinese enterprises can thrive in this era filled with both opportunities and risks, achieving sustainable growth and enhanced competitiveness.

This study investigates the relationship between trade policy uncertainty (TPU) and market diversification with risk-averse firms. We build a model to demonstrate how a risk-averse firm diversifies risks stemming from escalating TPU through entering new markets whose trade policies are negatively correlated with ones in its already-entered markets. The positive effect of TPU on market diversification is moderated if the firm has lower risk hedging ability and/or is less risk-averse. Conditional on the TPU in the already-entered markets, there is an inverted-U relationship between TPU in the new market and the probability of entering it. Using a unique firm-product-level dataset on Chinese exporters, we find robust evidence supporting our theoretical predictions.

We estimate the financial and real effects of a subsidy program on imported capital goods recently implemented in China. We identify ffrms that have access to the subsidy program by combining data on catalogues of eligible products periodically released by the government and product-level import data. Our findings demonstrate that following the implementation of the program, eligible firms experience an increase in borrowing and gain access to loans at lower interest rates compared to non-eligible firms. This improved financial situation enables them to expand their fixed-asset investments, increase total output, and enhance their export performance. The expansion of production capacity also leads to improved investment efffciency and greater profitability. Further analysis reveals that the effects of the policy are particularly pronounced for non-state-owned enterprises and small firms in relatively competitive industries. This finding suggests that these firms face ex-ante financial constraints, and their marginal rate of return to capital is large.

The caliber of export products is a microcosmic reffection of economic development quality. This study seeks to elucidate the inffuence of environmental regulation on product quality, integrating the role of the skill premium as shaped by environmental regulation within a Dixit-Stiglitz CES production function model. Additionally, we empirically scrutinize the interplay between environmental regulation, skill premium, and product quality, utilizing Chinese customs export data in conjunction with data from listed companies spanning 2003-2015. The conclusions drawn from our theoretical analysis and empirical veriffcation reveal an inverted U-shaped relationship between environmental regulation and product quality, which is tempered by the skill premium. Moreover, a signiffcant positive correlation exists between environmental regulation and the skill premium. Similarly, the relationship between the skill premium and product quality manifests an inverted U-shape. Notably, an elevated skill premium markedly bolsters the enhancement of product quality through green innovation. These insights underscore the need for balanced environmental regulations and strategic investment in skilled labor to augment product quality. This serves as a valuable compass for policymakers and businesses endeavoring for green innovation and high-quality, sustainable economic growth.

Despite the importance of property rights protection, evidence of their impact on thebirth, survival, and operations of the whole universe of firms, and the broad impact on the economy, is limited. In this paper we address this important question by utilizing unique administrative firm-level datasets in China. Using a difference-in-differences design, we find that the China’s 2007 Property Law led to significant more new private firms, firms that eventually survive, firms with less shareholders, and more new exporters, whereas the impact is the opposite for state-owned enterprises (SOEs). Moreover, we find that the switch in resources between private firms and SOEs contributes to higher economic growth without sacrificing environmental quality.

We study the consequences of market uncertainty on international trade. An increase in foreign market uncertainty dampens China's aggregate exports on both the extensive and intensive margins. The adverse effects are more pronounced in industries facing tighter financial constraints than in others. We propose a dynamic trade model to explain the facts. Greater uncertainty depresses a firm's expected value of exporting and borrowing capacity, leading to fewer exporters and a smaller average size of exports. Under calibrated parameters, the uncertainty shock accounts for a sizable fraction of China's trade collapse in the 2008 financial crisis and the recent trade war.