服务业对外直接投资的出口效应——基于我国微观企业的研究

文章基于我国服务业上市企业数据，采用多维固定效应模型，探讨和分析了我国服务业OFDI对服务贸易出口的影响，经研究发现：第一，服务业OFDI通过吸收东道国先进技术经验提升企业生产率水平和避开东道国服务贸易壁垒降低贸易成本，促进企业服务贸易出口增长；第二，我国服务业OFDI显著提升了企业服务贸易出口的二元边际，具体而言，整体上服务业OFDI会促进服务贸易出口增长4.82%，同时会提升企业的出口概率；第三，我国服务业OFDI"出口效应"存在明显的区域和行业的异质性，具体表现为：生产性服务业和消费性服务业OFDI存在显著的"出口效应"，其OFDI带动服务贸易出口的增长分别为5.68%和3.52%，而公共服务业则不存在显著的"出口效应"；东部地区和中部地区服务业OFDI存在显著的"出口效应"，其OFDI带动区域服务贸易出口的增长分别为4.97%和3.56%，而西部地区则不存在显著的"出口效应"。上述研究结论对化解我国服务贸易出口增长困境和完善服务业对外直接投资政策机制具有一定的启示意义。     

Do foreign exchange forecasters apply asymmetric loss functions? Evidence from three major exchange rates

This article investigates which type of loss function is consistent with the hypothesis that major exchange rate forecasts, i.e. the euro, the British pound, and the Japanese yen vis-à-vis the US dollar, are rational. We apply a comprehensive data set, which also allows us to examine different forecast horizons and heterogeneity of forecasters.     

Are REITs more resilient than non-REITs? Evidence from natural experiments

REITs draw attention from investors around the world, yet our understanding of the various risks associated with such securities is limited. Using the introduction of Arrowhead, a low-latency high-frequency trading platform, to the Tokyo Stock Exchange and the financial crisis of 2008 as natural experiments, we compare the resilience of REITs and equities in terms of liquidity and volatility. The results indicate that the introduction of Arrowhead improved the quality of the Japanese REIT market but also increased the probability of flash crashes. We also find that although the financial crisis significantly deteriorated overall equity market quality, the Japanese REIT market was resilient. Finally, using a difference-in-differences regression model, we show that the higher transparency and better price discovery of REITs, compared to non-REITS, protected them from the negative effects of the financial crisis and the introduction of Arrowhead. Overall, our analysis shows that REITs are more resilient than non-REITs.     

全国煤炭交易中心运营模式研究

全国煤炭交易中心的设立对规范我国煤炭交易市场规则、实施能源宏观调控、提升我国煤炭国际定价话语权具有重要意义。在分析全国煤炭交易中心功能定位和业务的基础上,设计中长期合同邀约、现货挂牌、现货竞价、现货招投标4种交易模式及业务流程,提出依托国家重大战略争取政策支持、加强各方沟通完善综合物流体系、建立银企合作机制与信用体系、完善煤炭交易中心协调机制、增强信息服务与风险防控能力等对策建议。研究成果对优化煤炭供给结构、规范煤炭交易市场和保障国家煤炭能源安全提供了支撑。     

庚子赔款的债务化偿付及其影响

庚子赔款是中国近代史上最大一笔赔款,也是以长期债务形式体现的赔款。本文对庚子赔款的债务化偿付安排、利率水平、支付流程及经济影响等进行比较分析。发现:(1)庚子赔款本金4.5亿两,是清政府 1903 年财政收入的 4.33倍,但通过债务化偿付,每年支付赔款占财政收入比重逐步下降;(2)按购买力折算,庚子赔款本金约占1900年中国GDP的2.1%;(3)与当时主要国家长期债务利率相比,庚子赔款4%的利率属于中等水平;(4)将庚子赔款与德国“一战”赔款进行比较,发现赔款本金和占经济总量比重,中国低于德国,但中国每年支付赔款的财政压力高于德国;(5)庚子赔款偿付对近代中国的财税金融产生深刻影响,外籍海关税务司借机成为独立于中国政府的“第二财政”,外商银行藉此强化其“隐性中央银行” 地位,赔款还催生了货币流通的“新周期” 和“新危机”。总体上,赔款的债务化偿付安排不仅受政治外交形势主导,也与金融机构特别是银行跨国经营存在密切联系。赔款的经济影响不仅取决于偿付总量,也取决于经济治理能力和财税金融制度。国家财税金融制度落后,则受到冲击较大。     

提高出口退税能够“稳就业”和“稳外贸”吗?

近年来,全球贸易保护主义抬头加剧了各国之间的贸易摩擦。本文以中美贸易为例,探讨中国出口退税政策在稳就业、稳外贸以及应对贸易摩擦中的作用机制。首先基于1994-2020年季度数据发现:中国就业的波动较平稳;净出口则呈现高波动特征;中国就业和净出口呈现弱顺周期。这些周期特征与其他国家存在显著差异。其次构建了一个含有不完全金融市场和价格不完全传递的对称两国开放经济DSGE模型,数值模拟发现:在本国出口退税冲击和它国技术冲击下,模型能够较好地拟合中国就业和净出口的周期特征,其中财富效应和由贸易条件变化引起的支出转移效应是主要的内在传导机制。借助模型对中美贸易摩擦的反事实实验发现:中国单方面提高1%出口退税时,中国就业增长0.05%,净出口增长0.28%,呈现较强持续性,提高出口退税能够稳就业和稳外贸;当中国提高1%出口退税和美国提高1%进口关税时,中国就业增长0.03%,净出口增长0.16%,呈现较强持续性,勒纳中性不成立,此时出口退税在稳就业和稳外贸中的作用尽管有所削弱,但依然有效。     

Foreign investment regulation and firm productivity: Granular evidence from Indonesia

When regulating foreign direct investment (FDI), countries often face a trade-off between pursuing national policy interests and suffering efficiency losses due to FDI restrictions. We demonstrate the presence of this trade-off in the case of a protectionist FDI policy in Indonesia. Using a yearly census of Indonesian manufacturing firms from 2000 to 2015, we link product-level changes in binding FDI regulation due to major regulatory tightening to changes in firm-level productivity. Controlling for an extensive set of fixed effects as well as potential political economy drivers of regulation, we show that a tightening of the regulatory environment was successful in reducing foreign capital reliance among regulated firms, and led to increases in FDI among non-regulated firms producing the same product. Despite compensating increases in domestic capital, regulated firms experienced relative productivity losses. This points towards either a less efficient allocation of domestic capital or a general inferiority of domestic capital as compared to foreign investments.     

Cryptocurrencies and Cagan’s model of hyperinflation

The drivers of the prices of Bitcoin and Ethereum are studied within a framework based on Cagan’s model of hyperinflation. In the model, the prices of the cryptocurrencies are driven by stochastic adoption and velocity shocks as well as endogenous expectations of future prices. The model is estimated with data for prices, transaction volumes, and money supplies. A majority of price fluctuations in both currencies can be attributed to shocks in adoption, velocity shocks are much less important. The money demand sensitivity to expected price changes is estimated to be larger for Bitcoin than for Ethereum, and both have higher sensitivity than fiat currencies during episodes of hyperinflation.     

Migrants and multinational firms: The role of institutional affinity and connectedness in FDI

We examine how, and to what extent, migrants in a host country attract foreign direct investment (FDI) from firms based in their country of origin (CO). Introducing the notion of institutional affinity, we argue that increased institutional affinity and increased connectedness of institutional environments of migrants’ CO and country of residence, make a location attractive to CO firms. Empirical analysis of FDI and migration panel data shows that in addition to the traditional factors influencing FDI patterns, there is a collective migrant effect on FDI, and this effect is statistically significant and economically meaningful for migrants from developing countries.     

What determines the long-term correlation between oil prices and exchange rates?

In this study, we obtain the long-term correlation between oil prices and exchange rates by employing the dynamic conditional correlation-mixed data sampling (DCC-MIDAS) model. We then identify the factors that influence the long-term correlation using panel data analysis. We find that the long-run correlations between oil prices and exchange rates are negative for all oil-exchange rate markets except Japan. We also find that both inflation and term spread have negative effects, while the risk-free interest rate has a positive effect on the long-term correlation between oil prices and exchange rates. Importantly, the empirical results show that an increase in inflation will significantly damage the real value of the currency itself.