This paper develops an SOE (small open economy) dynamic general equilibrium model to study the impact of climate change on the current account. By calibrating the model to Chinese economy, we find the following results. First, the current account-output ratio improves in the first decade following an increase in global temperature caused by climate change. It then deteriorates in the following next three decades. Second, the overall current account-output ratio dynamics in response to climate change is neither affected by the types and stringency of climate policies, nor by the levels and growth rates of temperature increases. Third, the impact of an increase in temperature from 1.28 ℃ to 1.5 ℃ relative to the pre-industrial periods (1850-1900) on the current account-output ratio is equivalent to that of an approximate 0.14% permanent decline in TFP. Finally, although the current account-output ratio is likely to deteriorate in the first year when temperature increases instantly, it might not be true if the coefficient of relative risk aversion, or interest rate premium is larger, or debt sensitivity to interest rate is smaller.

Understanding the impacts of new technology and innovations on the banking sector is important and of growing interest. However, there is limited research on the detailed channels of the impacts, and consequently, the evaluations for the aggregate welfare impacts. We contribute both empirically and quantitatively. We construct a new data set for Chinese banks. We ffnd banking innovations can improve efficiency, and mostly reduce non-interest costs but not so much on deposit rates. We show the ffnding is quite robust under a battery of checks. In a new structural, quantitative model, banks have heterogeneous capital, decide innovation investment and also risky lending, face regulations on the capital requirement and have limited liability. When aggregate new technology improves, it can reduce financial intermediation costs and social deadweight loss; however, it will also change the bank’s risk consideration and increases moral hazard when the cost is largely reduced. We also find several other new implications for R&D investment credit policy and Capital Requirement policy (CAR).

This paper argues that ffnancial lease, a dominant representation of shadow banking in China, plays a special role in improving the capital allocation efficiency. In a two-sector general equilibrium model with heterogeneous firm, information asymmetry and financial frictions, this paper shows that existence of finance lease market increases aggregate TFP by allowing low productivity SOE firms to lend out and allowing high productivity POE firms to leverage up. Due to the repossession advantage, financial leasing is a “good“ form of shadow banking that does not necessarily cause financial systemic risks.

This paper documents that ffrms are increasingly financing innovation using their stock of innovation, measured as patents. We refer to this behavior as financing innovation with innovation. Drawing on patent collateral data from both the US and China, we first show that (1) in both countries, the total number and share of patents pledged as collateral have been rising steadily, (2) Chinese firms employ patents as collateral on a smaller scale and with a lower intensity than US firms, (3) firms increase their borrowing and innovation after they start to use patent collateral. We then construct a heterogeneous firm general equilibrium model featuring idiosyncratic productivity risk, innovation capital investment, and borrowing constrained by patent collateral. The model emphasizes two barriers that hinder the use of patent collateral: high inspection costs and low liquidation values of patent assets. We parameterize the model to firm-level panel data in the US and China and find that both barriers are significantly more severe in China than in the US. Finally, counterfactual analyses show that the gains in innovation, output, and welfare from reducing the inspection costs in China to the US level are substantial, moreso than enhancing the liquidation value of patent assets.

We build a two-country general equilibrium model to analyze the effects of cross-border data flows and pre-existing development gaps in data economies on each country's production and international trade. Raw data as byproducts of consumption can be transformed into various types of working data (information) to be used by both domestic and foreign producers. Because data constitute a new production factor for intermediate goods, a large extant divide in data utilization can reduce or even freeze trade. Cross-border data flows mitigate the situation and improve welfare when added to international trade. Data-inefficient countries where data are less important in production enjoy a ``latecomer's advantage'' with international trade and data flows, contributing more raw data from which the data-efficient countries generate knowledge for production. Furthermore, cross-border data flows can reverse the cyclicity of working data usage after productivity shocks, whereas shocks to data privacy or import costs have opposite effects on domestic and foreign data sectors. The insights inform future research and policy discussions concerning data divide, data flows, and their implications for trade liberalization, the data labor market, among others.

This paper investigates the trading behavior of ambiguity-loving investors and the corresponding impacts on asset price. The ambiguity-loving attitude increases investors' willingness to participate in the risky asset market. Their rising participation gradually crowds out ambiguity-averse and sophisticated investors, extending their nonparticipation region. When the market supply is small, the discontinuous and non-unique properties of ambiguity-loving investors' demand mapping can cause flat ranges in the equilibrium price. When the market supply is moderate or large, an increase in the fraction of ambiguity-loving investors or ambiguity level reduces equity premium. We find the effect of ambiguity-loving attitudes remains with short-sales constraints except for ambiguity-loving investors' positions and the equity premium. Their positions shrink, and equity premium decreases when the market supply is small. Besides, the rising fraction of ambiguity-level investors and ambiguity level increases equity premium when ambiguity-loving investors with heterogenous opinions only sell the risky asset.

This paper studies the evolution of wealth inequality during China’s rapid economic growth since its market-oriented reforms in the early 1990s. We first document the evolution and composition of China’s wealth distribution and summarize stylized facts on aspects of the growth and reform process that are key to understanding wealth accumulation. Then we develop a heterogeneous-agent dynamic general equilibrium model that incorporates two sectors, the rural agricultural sector and the urban manufacturing sector, with endogenous migration, occupation, and durable consumption (housing) choices subject to frictions. In particular, the persistent financial market friction that entrepreneurs face plays a key role, as it ensures that the wealth brought by rapid capital accumulation is accrued predominantly to entrepreneurs.Our quantitative exercise decomposes the rising wealth inequality in China into different contributing factors.

Policy actions by the Federal Reserve during the recent financial crisis often involve recapitalization of banks. This paper offers a theory of the non-neutrality of money for policy actions taking the form of injecting capital into banks via nominal transfers, in an environment where banking frictions are present in the sense that there exists an agency cost problem between banks and their private-sector creditors. The analysis is conducted within a general equilibrium setting with two-sided financial contracting. We first show that even with perfect nominal flexibility, the recapitalization policy can have real effects on the economy. We then study the design of the optimal long-run recapitalization policy as well as the optimal short-run policy responses to banking riskiness shocks.

目前世界经济和中国经济正面临一个深刻的调整周期。对于中国经济来讲，如何在解决当前危机所需要的短期手段以及改变中国经济依赖外需的畸形结构间寻求平衡，越来越受到政府部门和中外学者的密切关注。为了从数量上把握短期扩张的公共支出政策对实物部门和金融部门影响，本文基于一个实物部门与金融部门相统合的中国金融可计算性一般均衡（Computable General Equilibrium，CGE）模型，从动态的角度定量分析了在中国结构调整过程中公共支出政策对经济效率和收入分配的影响，并提出模拟结果的相关政策含义。

We study the effects of Chinese monetary policy shocks on China's major trading partners in East Asia by estimating structural vector autoregressive (SVAR) models for six economies in the region. We find that a monetary expansion in Mainland China leads to an increase in real GDP (temporary) and the price level (permanent) in a number of economies in our sample, most notably in Hong Kong and the Philippines. The impact could result from intertemporal substitution present in a general equilibrium framework which allows for positive domestic impacts of foreign monetary expansions. Our results emphasize the growing importance of China for its neighboring economies and the significance of Chinese shocks for the design of monetary policy in Asian economies.