Distinguishing China's processing trade in the world input-output table and quantifying its effects

ABSTRACT

Distinguishing processing trade is crucial to national input-output table-based research on China's international trade. This paper further investigates the importance of distinguishing China's processing trade in multicountry input-output table-based studies. We focus on the bias in China's bilateral trade in value added caused by China's undistinguished processing trade. We construct a product-by-product world input-output table capturing China's processing trade based on the World Input-Output Database. Empirical studies show that, if China's processing trade is undistinguished, the profile of China's bilateral trade in value added would be seriously distorted; China's bilateral net trade in value added with some economies, such as Japan, Korea and Taiwan, would be significantly underestimated, while it would be significantly overestimated for some other economies, such as the United States. Distinguishing processing trade in multicountry input-output tables is also crucial when China's bilateral trade in value added is considered.     

Unraveling the dynamic changes of high-speed rail network with urban development: Evidence from China

Previous studies have used complex network theory to examine the characteristics of China's High-Speed Rail (HSR). Nevertheless, little attention is paid to China's HSR network's dynamic evolution and the coevolution of node attributes and embedded structural characteristics. Our study builds China's HSR network using a complex network approach and spatial analysis technique to address this issue. Additionally, we employ a stochastic actor-oriented model (SAOM) to properly decompose the three types of effects on the generation of China's HSR network (i.e., network structure, attribute-based similarity, and exogenous control variables). This study discusses the underlying hypotheses and indicates that 3-cycles is a critical structural factor for the formation of China's HSR network. In terms of the effects of attribute-based similarity, cities with similar Gross Domestic Product (GDP) and geographical proximity are essential nodal drivers for the evolution of the HSR network. Notably, the administrative rank of cities exhibits a significantly negative driving force and a alter effect. These findings shed light on the interactive process of urban regional development and the dynamic evolution of the HSR network, assisting the central and local governments in enacting and implementing appropriate HSR planning policies, ultimately achieving effective urban planning and management.     

How does FinTech affect the development of the digital economy? Evidence from China

Financial Technology (FinTech) is key to the global ascendency of China's finance, and the digital economy is a new driving force in the sustainable development and high-quality growth of China's economy. So, what is the nature of the relationship between FinTech and the digital economy. Based on the CRITIC method, this study calculates the China's 31 provinces’ (excluding Hong Kong, Macao and Taiwan) FinTech indices from 2008 to 2018 and the digital economy development indices from 2012 to 2018, and analyzes the impact of FinTech on the digital economy and its underlying mechanism. The results show that FinTech stimulates the development of the digital economy in China by promoting technological innovation and weakening the financial decentralization of local governments. Further research indicates that local financial regulatory resources have a positive moderating effect on the impact of FinTech in promoting the development of the digital economy. Increased local financial regulatory resources will enable FinTech to promote the development of the digital economy, but this regulatory role is only significant in financially developed areas. The approach of the study is relatively novel.     

改革开放以来中国出口增长推动力的阶段性演进及地区分布差异

研究目标：研究中国出口增长推动力的阶段性演进及地区分布差异。研究方法：基于中国1978~2014年的省级面板数据,采用超越对数形式的随机前沿模型进行分析。研究发现：在经济转型期,市场化改革与对外开放的发展是中国出口增长的首要推动力;在“入世”准备期,中国出口增长由制度因素、物质要素投入协同推动;在“入世”增长期,物质要素投入成为中国出口增长的首要来源;在全球引擎期,物质要素投入协同贸易潜力主导中国出口贸易的发展;地区间出口贸易差距主要源于贸易潜力、资本与制度因素的三重差异。研究创新：对改革开放以来至2008年金融危机以后中国出口增长推动力的阶段性演进进行系统研究。研究价值：针对中国贸易可持续发展面临的主要挑战,提供政策建议。     

产业结构变迁与中国OFDI：2003~2014年

本文采用2003~2014年187个中国对外直接投资国（地区）的跨境数据,实证分析了产业结构变迁及其引起的OFDI行业构成的变化对我国OFDI的影响效应。结果表明,产业结构合理化和高级化对OFDI均具有显著的正向影响,且两者之间对OFDI具有交互效应。在OFDI行业构成方面,信息传输、计算机服务和软件业与房地产业以及科学研究、技术服务和地质勘查业等三个行业占比的增加对OFDI具有显著的正向影响,农、林、牧、渔业与电力、燃气及水的生产和供应业等两个行业占比的增加对OFDI具有显著的负向影响,其他行业占比的增加对OFDI具有不同程度的影响。     

“一带一路”沿线国家与中国的贸易发展状况研究

研究目标：探索构建灯光数据对贸易研究的可行性。研究方法：运用1995~2012年“一带一路”沿线国家的面板数据,采用普通最小二乘法、泊松伪最大似然估计方法及工具变量法,以灯光数据作为GDP的替代量,通过传统引力模型搭建桥梁。研究发现：地理距离、边界及区域协定对中国与“一带一路”沿线国家之间贸易的显著影响表明灯光数据对贸易研究的有效性;同时,对1996~2012年贸易趋势的预测与实际贸易的对比结果显示,以灯光数据预测的“一带一路”贸易趋势与实际贸易基本吻合。研究创新：首次将夜间灯光数据应用于引力模型研究,对中国与“一带一路”沿线国家的贸易发展状况进行分析。研究价值：开拓夜间灯光数据研究贸易的先河,并结合引力模型的最新发展及微观基础思考拓展性的相关研究。     

Do China's anti-corruption efforts improve corporate productivity? A difference-in-difference exploration of Chinese listed enterprises

Corruption affects corporate investment and diverts resources away from growth-improving factors, including R&D activities and human capital, thereby lowering productivity. Using a time-varying difference-in-differences approach, we identified the causal effect of China's anti-corruption campaign on corporate productivity during 2011–2021. The findings uncovered that China's anti-corruption campaign increased corporate productivity by approximately 18.43%. Results from heterogeneity analysis showed that the promoting effect was particularly significant in non-state-owned firms, firms without political ties, and firms in areas with weak legal systems. Additional mechanism analysis revealed that firm productivity could be significantly boosted by improving resource allocation efficiency and advancing technological innovation.     

Analysis of the impact of Sino-US trade friction on China’s stock market based on complex networks

This paper analyzes the impact of the Sino-US trade friction incident in 2018 on China's stock market by using the complex network methods. Firstly, we divide the Sino-US trade friction incident in 2018 into four research periods. Based on the GARCH-BEKK model and the Planar Maximum Filter Graph (PMFG) algorithm, the volatility spillover network between China's stock market sectors and the stock price correlation network of China's stock market corresponding to the above four research periods are constructed. Next, from the perspective of sectors in stock market, we use various network centrality indicators to build a systematic importance comprehensive evaluation index of industry sectors in the stock market through the principal component analysis method, to explore the impact of the Sino-US trade friction incident on the risk spillover effects of sectors in China's stock market. From the perspective of the overall stock market, we analyze the impact of Sino-US trade friction incident on the overall stability of the stock market through calculating the network topology indicators and conducting simulation experiments. Finally, the main factors affecting the stability mechanism of China's stock market are studied through the probit model. The results show that: (1) The risk spillover effect of various sectors in China's stock market changes significantly in different periods of Sino-US trade friction, and there are obvious cyclical rotation effects among various sectors (2) When some weighted stocks in the stock market abnormally fluctuate or suffer targeted shocks, the China's stock market's ability to maintain stability is weak, and the Sino-US trade friction will reduce the stability of China's stock market, and the higher the intensity of trade friction incident is, the more obvious the impact of the incident is. (3) The important factors that affect the abnormal fluctuations in China's stock market include four types of indicators: the stock market network structure, the fluctuation of important international stock indexes, the fluctuation of commodity prices in the international market, and the domestic macroeconomic indicators. This study provides a reference for China's financial regulatory authorities to conduct macro-prudential management, control systemic risks, and maintain the stability of financial market.     

中国农村金融成熟度的测量与实证研究

借鉴CMM模型,以1978—2013年的中国农村金融运行数据为研究对象,构建农村金融成熟度模型,用于测量和分析改革开放以来中国农村金融发展轨迹,研究结果表明：我国农村金融成熟度总体保持上升趋势,且在2007年以后出现加速上升趋势,但也存在波动;规模、结构以及效率指标对我国农村金融成熟度的贡献差异较大,其中规模维度占据主导作用,凸显了我国农村金融在发展过程中忽视了各层面协调发展的特征。     

PROCESSING TRADE BIASES THE MEASUREMENT OF VERTICAL SPECIALIZATION IN CHINA

Vertical specialization (VS) is often measured by the import contents of the exports, using an input–output (I–O) framework. Half of China's exports are processing exports, which largely depend on imported intermediate inputs and tie up upstream as well as downstream trade partners. Thus, one would expect to find strong VS for China. Using the ‘ordinary’ I–O tables, however, this is not the case. Because the production of processing exports is only a small part of total production, the average input structure in the I–O table hides the typical features of processing exports. Using adapted, tripartite I–O tables (for 2002 and 2007) in which the processing exports have been singled out, indeed reveals the expected strong VS in China.     

From Frontier to Bridgehead: Cross‐border Regions and the Experience of Yunnan,China

Drawing on recent theoretical tenets regarding cross‐border regions, this article analyzes China's state spatial policies that aim to transform Yunnan from a peripheral frontier into an economic bridgehead. The purposes of the present study are threefold: to contextualize the formation of Yunnan as China's frontier; to examine why Yunnan has been strategically selected as a bridgehead to promote China's transnational economies; and to explore the central–provincial alliance as an innovative institutional arrangement and look at how this alliance can convert Yunnan into a space of exception or new state space of development. This study finds that in order to convert regional assets into real competitiveness, the Chinese state (national, provincial and local) emphasizes transnational cooperation, endeavors to maximize Yunnan's place‐specific locational advantages and promotes the differentiation of regional developmental trajectories across China's national territory. The article contributes to studies of institutional arrangements for cross‐border cooperation in a non‐Western context and sheds light on China's regional development policies in its hinterland.     

金融危机后券商的理财顾问业务发展分析

理财顾问业务是逐渐从券商发展出来的一个新型业务,它也是券商增加利润的重要来源。应大力拓展我国券商的理财顾问业务,使得我国券商的理财顾问业务快速发展壮大,成为我国资本市场的又一重要力量。     

中国装备制造业全要素生产率增长的波动与异质性

研究目标：中国装备制造业及其细分行业TFP增长率的测定与分解。研究方法：构建超越对数形式的随机前沿生产函数模型,测算中国装备制造业及其细分行业TFP增长率,并对其进行分解。研究发现：中国装备制造业TFP增长率不但在区域和省份之间存在差异,而且存在明显的内部行业异质性;技术进步和配置效率变化分别是提高和阻碍装备制造业TFP增长率的主要原因和障碍;除技术进步均为正值外,技术效率变化、规模效率变化和配置效率变化在装备制造业各行业中异质性相当明显;装备制造业及其细分行业仍未从真正意义上实现由粗放型向集约型增长方式的转变。研究创新：中国装备制造业细分行业TFP增长率及其异质性。研究价值：为装备制造业转型与升级提供经验证据。     

Different effects of technological progress on China's carbon emissions based on sustainable development

In this paper, we respectively decompose and study different effects of technological progress on carbon emissions in China based on the combination of the logarithmic mean Divisia index method, the Solow residual model, and spatial econometrics. Furthermore, we propose an improved approach to estimate the rebound effect index. By comparing the different effects of technological progress on carbon emissions, our results indicate that China's overall domestic technological progress reduced its carbon emissions over this period. As for the rebound effect index, the estimated results are higher than in previous studies because of the spatial rebound effect, which was ignored by previous studies. Regionally, although the eastern region had high rebound effects, the western region is at the greatest risk from the rebound effects. Finally, we present specific environmental policy proposals for China's sustainable development based on empirical results.     

How to reduce energy intensity to achieve sustainable development of China's transport sector? A cross-regional comparison analysis

China's transport sector has been attracting great attention for its excessive energy consumption and ever-increasing pollution emissions. Thus, reducing energy intensity is one of the top priorities of China's ongoing transport upgrade. In this paper, by establishing a panel data regression model derived from the Cobb–Douglas cost function, we focus on investigating the impacts of energy price and transport productivity on transport energy intensity at the national and regional levels. The study uses the provincial panel data for 2005–2016 to perform regression analysis. The results show that: (1) energy price has a significantly negative effect on transport energy intensity in the whole China and the eastern region, whereas it has no significant impacts in the central and western China. (2) Improvements in transport productivity can effectively decrease transport energy intensity in the whole China and the three major regions. (3) Applying an extended data envelopment analysis (DEA) approach, we decompose transport productivity into four components (i.e., technical change, technology gap change, scale efficiency change, and pure efficiency change) and further differentiate their impacts in different regions. The results indicate that these four components have substantially different impacts in each region. These results provide some valuable insights for policymakers and enterprise entities aiming to adopt measures to reduce energy intensity and achieve sustainable development in China's transport sector.     

STRUCTURAL CHANGE AND GROWTH IN CHINA UNDER ECONOMIC REFORMS: PATTERNS,CAUSES AND IMPLICATIONS

This paper investigates the patterns, causes, and implications of China's structural change and its contribution to China's regional growth. Among many other findings, our regression results show that conditional convergence exists across different regions in China. Regional structural change has a convergence effect and regional openness facilitates regional structural change. Structural shocks and structural transformation had the opposite effect on China's interregional convergence during the 1990s, though the combined effect of overall structural change is a convergence effect. We also find that Chinese regions rely more heavily on structural change for labor productivity growth as the economy evolves. In summary, the results of our empirical analysis support the hypothesis underlying the theoretical model of this paper.     

社会倾销对我国对外贸易的影响及策略

经济全球化在促进生产力增长的同时,产生了负面的影响。尤其是发达国家以反"社会倾销"为理由,提出将贸易与劳工标准挂钩,实施贸易制裁。这必将对中国的对外贸易发起挑战。我们应从中国的实情出发,找出我国劳工标准现状与国际标准的差距。在国际国内层面采取加强与国际组织的互动;加强职业安全管理及逆向采购等措施。     

Measuring China’s domestic production networks through Trade in Value-added perspectives

Evaluating the role and performance of China's participation in Global value chains (GVCs) has been a hot policy and research issue in recent years. However, most GVCs-related literature about China focuses on country-to-country relations; less attention has been paid to China's domestic value chains (DVCs). GVCs should have their domestic foundations since strong linkages across domestic firms and regions can improve productivity through gains from specialization, which make domestic industries more competitive in GVCs in turn. This paper applies the so-called Trade in Value-added (TiVA) concept and the decomposition of domestic-regional trade in TiVA terms to re-measure the inter-industrial and interregional linkages in China's DVCs. We show that TiVA-based measures can significantly enrich our understanding on both the structure change of China's regional economy and the position and participation degree of Chinese regions in DVCs.     

中国工业全要素生产率与结构演变：1990~2013年

本文测算了1989~2013年工业分行业的增加值、劳动投入、资本存量,利用随机前沿分析（SFA）计算1990~2013年分行业的全要素生产率（TFP）,进而估计工业所有制结构变化对工业TFP增长的效应。本文发现,在考察期内,只有技术进步基本保持了持续增长,配置效率改善在2000年以后明显放缓;工业所有制结构变化显著提高了工业TFP增长率,但对技术进步的作用不显著;将考察期划分为两个阶段后发现,后一阶段所有制结构变化对TFP的促进作用明显小于前一阶段。工业改革的重点在于促使资源合理、自由流动,创造公平的市场环境,为工业TFP增长释放更大的空间。     

Impact of high-speed railway on urban resilience in China: Does urban innovation matter?

Based on calculating the urban resilience index from five aspects of economy, society, institutions, infrastructure, and ecology by adopting the entropy method, this study applies the time-varying DID model to systematically examine HSR's impact on China's urban resilience, on basis of which its heterogeneities and the mediating effect of urban innovation are also quantified. The findings reveal that: (1) HSR can significantly promote China's urban resilience, as supported by various robustness tests. (2) HSR can significantly improve economic and institution resilience of cities, but does not play a significant role on social resilience and infrastructure resilience, and has a negative effect on ecological resilience. (3) The driving effects of HSR on the resilience of core cities, large cities, and non-resource-based cities are more significant. (4) Urban innovation is an important channel through which HSR impacts urban resilience. The conclusions of this study can offer useful insights for China's future HSR planning and resilient cities construction.