12 July 2025, Volume 0 Issue 7
    

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  • Xiao Zhengyan, Chen Kan, Zhou Xinrui
    Studies of International Finance. 2025, 0(7): 3-14.
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    The increasing openness of China's capital account has amplified the dual volatility of cross-border capital flows, necessitating effective regulatory tools to mitigate systemic risks. Capital Flow Management Measures(CFMs), as critical policy instruments, have played a pivotal role in stabilizing capital flows. However, their effectiveness faces challenges from international media sentiment against the background of high-level opening up, which shapes investor expectations and capital flow dynamics. Existing literature has largely focused on external shocks or global financial cycle, overlooking the role of international media sentiment. This study fills that gap by investigating how international media sentiment influences the efficacy of China's CFMs and explores policy coordination and policy communication strategies to enhance regulatory outcomes.
    Utilizing a comprehensive dataset from RavenPack, this research constructs an international media sentiment index focused on“China's economy”by aggregating Event Sentiment Scores(ESS)from global media outlets. The Local Projection(LP)method and threshold-augmented mixed-frequency FAVAR models are employed to analyze the dynamic interactions between CFMs, media sentiment, and capital flow responses.
    The result of this paper shows that international media sentiment significantly affects the effectiveness of China's CFMs, with pessimistic sentiment posing challenges to achieving policy objectives. To tackle this challenge, improved coordination with fiscal and macroprudential policies enhances the effectiveness of CFMs. Fiscal and macroprudential policies not only directly strengthen CFMs in regulating cross-border capital flows but also improve media sentiment, with fiscal policy playing a notable indirect role in improving the economic structure. In contrast, monetary policy fails to significantly improve policy effectiveness. Furthermore, alignment between policy communication strategies and the regulatory objectives of cross-border capital flow management fosters a more favorable media sentiment environment. However, increasing the disclosure intensity of policy related information yields no significant benefits.
    To improve the effectiveness of China's CFMs, this paper suggests the following: establish real-time tracking of international media sentiment to preemptively address adverse narratives; prioritize fiscal and macroprudential tools to address root causes of capital flow volatility, such as credit defaults or overcapacity; align policy communication with CFMs' objectives while avoiding over-disclosure that could erode credibility.
  • Zhao Xiangqin, Wang Shan, Chen Guojin
    Studies of International Finance. 2025, 0(7): 15-27.
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    Monetary policy shocks can exacerbate economic fluctuations and weaken the intended effects of monetary policy in stabilizing the macroeconomy. This paper investigate the mechanisms and varying effects of production networks in the transmission of monetary policy shocks to sectoral outputs from both empirical and theoretical perspectives.
    This paper conducts an empirical analysis using high-frequency method and spatial autoregression model(SAR)to provide preliminary evidence of the transmission of these shocks through the production network. A multi-sector input-output model with price stickiness has been developed to analyze the network effects of monetary policy shocks across different sectors, which is further extended to a dynamic model for impulse response analysis.
    The results reveal that, firstly, the production network serves as an important channel for the transmission of monetary policy shocks to sectoral output, and the network effects are more pronounced after controlling for demand within each sector. Secondly, monetary policy shocks are transmitted from upstream to downstream industries along the production network via the cost channel, as well as from downstream to upstream industries through the demand channel, thereby enhancing the impact on sectoral output. Thirdly, the network effects of monetary policy shocks increase with the intensity of intermediate inputs, and core sectors within the production network are more significantly affected by network effects.
  • Xu Longqiang, Zhang Wenbo, Li Jie, Yuan Mengyi
    Studies of International Finance. 2025, 0(7): 28-38.
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    The current global political landscape is increasingly turbulent, with ongoing geopolitical conflicts posing significant challenges to the globalization of production and division of labor. This paper utilizes the OECD-ICIO database to analyze the global value chain(GVC)positioning of 76 economies at the industry level from 1995 to 2020, examining the impact of geopolitical risks on these economies' integration into the GVC.
    The study finds that the mean value of GVC positioning globally has shown a significant upward trend over time. Rising geopolitical risks tend to push the production phase of GVCs towards the ends of the chain through trade frictions, the scale of exports and imports, and the channel of capital flows. Specifically, geopolitical risk significantly reduces the upstreamness and downstreamness of GVCs, and the corresponding production stages of GVCs become closer to the final product consumption sector, and shift towards the initial factor input sector. Heterogeneity analysis shows that the larger the size of the home market, the higher the level of economic development and the higher the productivity level of the economy, the smaller the impact of geopolitical risk on the positioning of GVCs.
    This paper broadens the perspective of GVC positioning analysis to include geopolitical risks and GVC production stages in a unified theoretical analysis framework. The conclusions of this study enhance the understanding of the economic consequences of geopolitical risks, clarify their mechanisms in globalized production, and offer significant theoretical and practical implications for improving economic resilience.
  • Peng Hongfeng, Liang Zimin, Zhang Zhenqi
    Studies of International Finance. 2025, 0(7): 39-50.
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    This study uses data from 35 major global economies between 2004 and 2019 as the research sample, exploring the issue of monetary policy independence under floating exchange rate regimes from the unique perspective of cross-border capital flow anomalies. The study finds that economies lose some monetary policy autonomy under floating exchange rates during abnormal cross-border capital flows, particularly during inflows, and this conclusion holds even after a series of robustness tests. Under these abnormal conditions, the stabilizing function of floating exchange rates fails when severe changes occur in an economy's own exchange rate. Using these fluctuations to absorb Federal Reserve policy shocks further exacerbates investor panic, impacting macroeconomic stability, thus forcing economies to follow Fed rate changes, resulting in a loss of some monetary policy independence. Furthermore, the heterogeneity analysis in this paper shows that under floating exchange rates, economies experiencing abnormal cross-border capital inflow episodes can still use flexible exchange rate fluctuations to absorb Federal Reserve policy shocks during periods of low capital controls and global low risk, maintaining a higher degree of monetary policy independence. Additional findings reveal that the stabilizer role of floating exchange rates becomes ineffective when peripheral economies encounter abrupt halts in cross-border capital inflows.
  • Chen Donghui, Yu Xuewei, Hu Lining
    Studies of International Finance. 2025, 0(7): 51-62.
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    New quality productivity is the key driving force behind the transformation from traditional to modern economic drivers and foundation of high-quality development. In the cultivation stage of new quality productivity, financial support is essential. Among them, financial technology, as a new means of digital banking operation, can effectively improve the efficiency of financial services and empower enterprises to achieve new quality productivity.
    Based on this, this paper takes commercial banks and listed companies in China from 2012 to 2022 as the research object, and innovatively applies deep learning algorithms to capture the semantic content and similarity of bank patent text to measure the financial technology index, and uses a three-stage SP-DEA dynamic analysis model to construct enterprise new quality productivity indicators. By establishing the bank-enterprise credit relationship, it empirically examines the impact of bank financial technology on enterprise new quality productivity. The research results show that bank financial technology has significantly promoted the formation of new quality productivity among borrowing firms, which is manifested in key technological breakthroughs and green and low-carbon transformation. Mechanism analysis shows that financial technology enhances enterprise-level productivity improvements through credit allocation optimization, human resources matching and green preference incentives. Heterogeneity analysis shows that in small and medium-sized private enterprises, enterprises with environmental protection experience and financial backgrounds in management, and in regions with strong financial supervision and strong momentum for developing new quality productivity, financial science and technology has a greater power to empower the new quality productivity of enterprises. The economic consequences test shows that the role of financial technology in enhancing enterprise-level productivity improvements is a key path towards realizing the high-quality development of enterprises, which not only helps to improve the total factor productivity of enterprises, but also can enhance the resilience of the supply chain industry chain.
    This paper provides a new research perspective for comprehensively evaluating the new quality productivity of enterprises, and provides new empirical evidence for financial technology to empower new quality productivity and its internal logic from the perspective of bank financial technology.
  • Yang Changjiang, Liu Wenshuo
    Studies of International Finance. 2025, 0(7): 63-74.
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    Sovereign ESG is a comprehensive index reflecting the sustainable development of an economy. This paper analyzes the theoretical mechanism and empirical evidence of its effect on the formation process of the real exchange rate, a topic not previously explored in depth. By constructing a real exchange rate determination model based on stochastic discount factor, this paper proposes a theoretical hypothesis of“Quasi-Penn Effect”. The improvement of an economy's sovereign ESG will lead to real exchange rate appreciation through mechanisms such as productivity, government spending, efficient investment and risk buffers, but its effect depends on the importance of sustainable development factors in the economy, which is similar to but different from the“Penn Effect”. Using panel data covering 81 countries from 2000 to 2020, the sovereign ESG index is constructed using a global factor analysis method, and the above theoretical hypothesis is verified through empirical research.
    Since the significance of sustainable development factors is usually more evident in more developed economies, the“Quasi-Penn Effect”is less pronounced than the“Penn Effect”. The“Quasi-Penn Effect”is more likely to hold in developed countries, in economies with floating exchange rate systems, and after the adoption of the Paris Agreement.
    This research has significant policy implications. Firstly, it is necessary to understand the impact of sustainable development strategies on economies from a more in-depth and comprehensive perspective, rather than being limited to the level of economic growth itself. Secondly, close attention should be paid to the appreciation momentum that the improvement of sustainable development capabilities may bring to the RMB. Thirdly, practical measures should. Be taken to further improve China's sovereign ESG performance.
  • Dou Chao, Li Zheng, Liu Wei, Yang Xue
    Studies of International Finance. 2025, 0(7): 75-85.
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    The escalating unilateral sanctions imposed by the United States on China have significantly impacted corporate hiring decisions and the stability of the employment market. What are the actual conditions faced by affected enterprises? How should governments and businesses respond? This study systematically identifies domestic listed companies impacted by U.S. sanctions and empirically examines the comprehensive effects of sanction shocks on corporate employment dynamics from the perspective of labor demand. The findings reveal that sanction shocks lead to workforce reduction by exacerbating financing constraints, compressing overseas operations, and increasing hiring costs. However, strong corporate competitiveness and enhanced government support can effectively mitigate the negative impacts of such shocks on employment scale. Notably, sanction shocks also exhibit a reverse-forcing effect, driving firms to upgrade their employment structures, as evidenced by increased proportions of highly educated and technically skilled personnel. This study enriches the dialectical understanding of sanction impacts in capital markets and provides practical insights for businesses, markets, and governments to counteract economic sanctions, thereby preventing incremental risks and alleviating adverse effects on employment stability.
  • Bai Caiquan, Yi Xing, Zhang Jinghe, Xue Qihang
    Studies of International Finance. 2025, 0(7): 86-96.
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    In the context of the new development pattern, breaking down regional barriers to factor mobility, facilitating cross-regional capital flows, and advancing the construction of a unified domestic market are of great theoretical and practical significance in China. As a key form of informal institution, a sound regional credit environment plays a crucial role in ensuring the free flow of capital across regions. This study investigates the influence of credit environments on cross-regional capital flows, using cross-regional mergers and acquisitions(M&As)as an analytical lens.
    This article draws on data from the China City Commercial Credit Environment Index and cross-regional mergers and acquisitions(M&As)of A-share listed firms in China, covering the sample period from 2011 to 2019. It constructs panel datasets at both the city-city and firm-city levels to examine how a city's credit environment affects the likelihood of its local firms being acquired by firms from other regions. The study yields three key findings. Firstly, a higher quality credit environment in a city significantly increases both the probability and scale of cross-regional acquisitions of local firms. This conclusion remains robust after employing an instrumental variable approach and conducting a series of robustness checks. Secondly, heterogeneity analysis reveals that the credit environment has a stronger positive effect on cross-provincial M&As and those involving non-state-owned firms. Thirdly, a mechanism analysis suggests that the promotion of cross-regional M&As is primarily driven by the reduction of information asymmetry and transaction costs, as well as the improvements in M&A performance.
    This article broadens the research on factors influencing corporate behavior from the perspective of the informal institution of credit environment. It investigates the impact of the informal institution on cross-regional M&As from both regional macro and firm-level micro perspectives, offering new empirical evidence on the factors and underlying mechanisms driving capital flows across regions. Furthermore, the article provides policy recommendations targeting governments, society, and firms to facilitate the rational and orderly flow of capital.