Does digital service trade boost technological innovation?: International evidence

Digital technology is profoundly changing the international economic and trade pattern, and digital service trade is increasingly becoming an important carrier of transnational knowledge spillover. This study investigates the relationship between digital service trade and technological innovation. Based on the panel data of 131 countries from 2005 to 2020, empirical results show that digital service trade significantly promotes technological innovation. This study shows that digital service trade can promote technological innovation through four mechanisms: increasing income incentives, accelerating knowledge spillover, triggering trade liberalization, and promoting financial deepening. The results of panel threshold model show that economic development, urbanization, and population aging can lead to regime changes in the innovation effect of digital service trade. In addition, the results of heterogeneity test show that national characteristics such as economic development, per capita income, industrialization, and economic freedom, influence the innovation effect of digital service trade. Our findings have implications for developing an international innovation cooperation system based on digital service trade.     

Regional integration: an empirical assessment of Russia

Using a statistical model of commodity trade, we quantify the evolution of regional economic integration within Russia during 1995–1999, and explore potential determinants of this evolution. Our integration measure exhibits rich regional variation that, when aggregated to the national level, fluctuates substantially over time. In accounting for this behavior, we draw in part on theoretical models that emphasize the potential role of openness to international trade and regional disparities in income in threatening economic integration. Controlling for a host of additional regional- and national-level variables, we find a strong negative correspondence between openness to international trade and internal economic integration.     

Positive welfare effects of trade barriers in a dynamic partial equilibrium model

We develop a simple two-region, cobweb-type dynamic partial equilibrium model to demonstrate the existence of optimal, possibly non-zero, trade barriers. A pure comparative statics analysis of our model suggests that a reduction of trade barriers, modeled as small but positive import tariffs, always enhances welfare. However, taking a dynamic perspective reveals that nonlinear trade interactions between two regions may generate endogenous price fluctuations which can hamper welfare. Finally, we allow special interest groups, such as consumers or producers from these two regions, to lobby for a particular level of trade barriers. Our model predicts that time-varying trade barriers may be another channel for market instability.     

Economic policy uncertainty and capital structure choice: Evidence from China

This paper studies how economic policy uncertainty affects corporate capital structure for Chinese listed firms from 2003 to 2013. We show that as the degree of economic policy uncertainty increases, firms tend to lower their leverage ratios. However, firms that are from regions with lower degrees of marketization, are state-owned or have prior bank-firm relationships mitigate the negative effect of policy uncertainty. Moreover, we provide consistent evidence that this negative effect is sourced from the deterioration of the external financing environment. We also find that firms adjust their financing structures by using more trade credit when economic policy uncertainty increases. Our results are robust to sample selection, data frequency, model specification and endogeneity.     

Stochastic trends and economic fluctuations in a small open economy

In this paper we describe how restricted vector autoregressions can be employed to examine the sources of macroeconomic fluctuations. We show how cointegration restrictions can be used to identify a VAR system with common stochastic trends subject to transitory and permanent changes in average growth, and how we may investigate the system's responses to permanent shocks, i.e. to innovations to the trends. Theoretical cointegration vectors are derived from a small open economy growth model for terms of trade, real GDP, real consumption, and real investments. Applying these methods to Swedish annual data (1875–1986) we find that permanent real (supply) shocks account for most of the fluctuations in GDP, even in the short run.     

Derivatives market and economic growth nexus: Policy implications for emerging markets

The derivatives market plays a crucial role in an economy. However, its link to economic growth and macroeconomic factors seem to be insufficiently covered in academic research despite the publication of many empirical studies on the causality of finance and growth. Recently, many emerging markets, such as Vietnam, have decided to establish a derivatives markets for risk management to ensure stability in the economy. This paper investigates the dynamic relationship among these key variables using up-to-date panel data on 17 countries, for which required data are available until 2017. This study yields various findings. First, bidirectional Granger causality between derivatives markets and economic growth exists internationally. Second, using panel vector autoregression, impulse-response functions, variance decomposition techniques as well as panel econometrics estimations, we find that trade openness and government spending have more effects on the derivatives market than economic growth and inflation. Third, we document that the derivatives market has a more integrated direct relationship with economic growth and macroeconomic factors in high-income countries than their upper-middle-income counterparts. These new findings are essential for consideration by policy makers in emerging markets in relation to the development of their derivatives markets.     

Impact of the COVID-19 outbreak and its related announcements on the Chinese conventional and Islamic stocks’ connectedness

In this paper, we assess the impacts of the COVID-19 counts (infected cases, deaths and recovered) and related announcements on the Islamic and conventional stocks interplays in the Chinese market. We test whether Islamic stocks are perceived as assets providing diversification benefits in time of COVID-19 pandemic. Doing so, we implement a multivariate GJR-GARCH model under dynamic conditional correlation (DCC) as well as multiple and partial wavelet coherence methods to recent Chinese daily data ranging from 2 December 2019 to 8 May 2020 and COVID-19 related announcement for the period. Our results from multivariate GJR-GARCH models reveal that COVID-19 infected cases and deaths do impact mean DCCs between Islamic and conventional stocks, number of recovered do not have such impact, while none of the above have any significant impact on the DCCs fluctuations. However, when we analyze the impact of COVID-19 related announcement on the variation of conditional correlation between two stocks (i.e. DCC volatility) our findings show that 7 out of 10 such announcements (mainly those with serious health treats or economic implications) do effect those volatilities in Chinese equity market. The empirical findings from partial and multiple wavelet coherences provide robust evidence of instability in the co-movement between Islamic and conventional indexes for different scales and over dissimilar sub-periods. Indeed, the weakening of co-movements is especially notable in the very short and short-run where operating the short-term investors. Our empirical findings offer several key propositions for policy makers and portfolio managers in China with broad implications applicable to other markets.     

A note on interactions-driven business cycles

Within the standard Keynesian multiplier framework, extended by a micro-model of interactive formation of individual consumption propensities, we demonstrate that socioeconomic interactions can lead to cyclical fluctuations in aggregate economic activity. The underlying micro-model of direct interactions is a version of Alan Kirman’s generic opinion formation model, with an additional feedback effect from macroscopic variables on the transition probabilities. Our model engenders cyclical fluctuations of economic variables, despite the fact that neither the Keynesian multiplier model nor Kirman’s model does so on its own.     

BROADBAND AND ECONOMIC DEVELOPMENT: A MUNICIPAL CASE STUDY FROM FLORIDA

In this paper, we explore whether broadband investment by municipalities has an effect on economic growth. To do so, we employ an econometric model to compare economic growth between counties in the State of Florida. Our econometric model shows that Lake County – a small county in central Florida – has experienced significantly greater growth in economic activity relative to comparable Florida counties since making its municipal fiber-optic network generally available to businesses and municipal institutions in the county. Our findings are consistent with other analyses that postulate that broadband infrastructure can be a significant contributor to economic growth.     

President’s Tweets,US-China economic conflict and stock market Volatility: Evidence from China and G5 countries

This study provides empirical evidence that the tweets from US President Donald J. Trump influence the trading decisions of investors worldwide. We examine the effects of Trump’s tweets related to China on stock market volatility in China and the G5 countries. Our results show that Trump’s original tweets related to the US-China economic conflict expand volatility in stock markets worldwide, and the US-China trade friction intensifies this effect. Furthermore, Trump’s tweets with different sentiments have different impacts on the returns of global stock markets. Our findings confirm that international investors may make their investment decisions based on information conveyed in these tweets.     

A nonlinear investigation of the twin deficits hypothesis over the business cycle: Evidence from Turkey

In this paper, we analyze the twin deficits hypothesis covering the period from 1994 to 2012 in Turkey. In contrast to previous studies on Turkey, the existence of twin deficits is investigated by regime-dependent impulse response functions and forecast error variance decompositions based on a multivariate two-regime threshold VAR (TVAR) model. Our results suggest that the dynamics between the current account and budget account variables are affected by macroeconomic activity: twin deficits are only the case in the upper regime, when the economy operates above its potential level. When the economy is in the lower regime, budget and trade deficits show divergent movements. The results are consistent with Kim and Roubini (2008), indicating that the divergence of fiscal balance and current account might be explained by the cyclical fluctuations of output.     

Trade and Growth: Reconciling the Macroeconomic and Microeconomic Evidence

Abstract.  Many empirical studies based on plant-level data have found that firms that enter the export markets are more productive than non-exporters and that this difference in productivity is achieved before firms become involved in exporting. These findings have challenged the traditional view that openness to trade increases productivity and economic growth. This article reconsiders the literature on trade, growth, and trade policies and argues that a careful examination of these new findings is consistent with the idea that exporting increases productivity and economic growth.     

International automotive production networks: how the web comes together

This paper aims to provide empirical evidence for the connections between new trade theory and the spatial distribution of economic activities, considering the results obtained by the literature on New Economic Geography as a starting point. To do this, we apply Social Network Analysis specifically to the World Automotive Trade Network. We explore the structural features of the auto network for the years 1996 and 2009 using data on trade flows for 172 countries. Our findings suggest that the auto network has become denser, more extensive and more integrated over time, depicting a center-periphery structure in which regional clusters play a prominent role. In this configuration, strong agglomeration forces generated by companies’ desire for large and rich market access with minimum transportation costs are balanced by the search for new high-potential markets.     

Estimating models of complex FDI: Are there third-country effects?

The recent general equilibrium theory of trade and multinationals emphasizes the importance of third countries and the complex integration strategies of multinationals. Little has been done to test this theory empirically. This paper attempts to rectify this situation by considering not only bilateral determinants, but also spatially weighted third-country determinants of foreign direct investment (FDI). Since the dependency among host markets is particularly related to multinationals’ trade between them, we use trade costs (distances) as spatial weights. Using panel data on U.S. industries and host countries observed over the 1989–1999 period, we estimate a “complex FDI” version of the knowledge-capital model of U.S. outward FDI by various recently developed spatial panel data generalized moments (GM) estimators. We find that third-country effects are significant, lending support to the existence of various modes of complex FDI.     

Individual new energy consumption and economic growth in China

We document the one-way relationship between individual new energy consumption and economic growth in China through the autoregressive distributed lag (ARDL) model from 2004 to 2017. Our results show that individual new energy consumption has a positive effect on economic growth. Moreover, the urbanization rate, import and export trade volume and foreign direct investment all affect the individual new energy consumption in the short run. The outcome of the causality test reveals a one-way Granger causal relationship from individual new energy consumption to economic growth, from the urbanization rate, and from the import and export trade volume to new energy consumption.     

Outsourcing and trade in a spatial world

This paper provides an analysis of outsourcing and trade in a spatial model à la Hotelling. In this setting, we discuss the trade-off between transport-cost-related disadvantages and outsourcing-related production cost advantages of a large economy and we investigate how the existence of national transport costs influences both the structure of industrial production and the pattern of final goods trade. In addition, the model gives a rich picture of the possible welfare effects of trade liberalization. In particular, we show that a final goods exporting country definitely gains from economic integration, while a final goods importing country may lose. Finally, when lowering domestic outsourcing activities, trade liberalization may reduce world welfare, even if pro-competitive effects lead to a decline in consumer prices.     

Services trade restrictiveness and manufacturing export sophistication

This paper highlights the importance of services trade liberalization. It is well-known that there is a strong relationship between the level of economic development of a country and the quality of its export basket. Since the pioneering work of Hausmann, Hwang, and Rodrik (2007), several studies have attempted to identify the determinants of export sophistication. In this paper, based on the existing literature, we argue that restrictiveness of services sector trade can have a negative impact on the level of export sophistication. Using panel data from 36 countries over the 2005–2014 period, we show that the impact of services sector trade restrictiveness on export sophistication is negative and statistically significant. We find that this negative effect has increased in the post-2007 period. Furthermore, restrictiveness of trade in modern services is relatively more detrimental to manufacturing export sophistication. A series of endogeneity and robustness tests confirm the reliability of our main empirical result. Our analysis suggests that services sector trade liberalization can also be used as a development strategy by developing countries.     

Outsourcing and trade in a spatial world

This paper provides an analysis of outsourcing and trade in a spatial model à la Hotelling. In this setting, we discuss the trade-off between transport-cost-related disadvantages and outsourcing-related production cost advantages of a large economy and we investigate how the existence of national transport costs influences both the structure of industrial production and the pattern of final goods trade. In addition, the model gives a rich picture of the possible welfare effects of trade liberalization. In particular, we show that a final goods exporting country definitely gains from economic integration, while a final goods importing country may lose. Finally, when lowering domestic outsourcing activities, trade liberalization may reduce world welfare, even if pro-competitive effects lead to a decline in consumer prices.     

Monetary policy,exchange rates and labor unions in SEE and the CIS during the financial crisis

The objective of this paper is to assess whether the levels of unionization and the rigidity of exchange rates represent a constraint for the monetary policy in South-Eastern Europe and the Commonwealth of Independent States, with a particular focus on the recent economic crisis. Toward that end, a New Keynesian model with price and wage rigidities is used. The results show that monetary policy responded counter-cyclically during the crisis only in countries with weak trade unions and in countries with flexible exchange rates, which indicates that fixed exchange rates and strong trade unions constrain monetary policy in countries in these regions. Also, the findings show that the main driver of price inflation in these countries is not economic activity, but wages, which are affected to a large extent by trade unions. Therefore, trade unions should be active partners in the decision-making processes in these countries.     

Regional integration,international liberalisation and the dynamics of industrial agglomeration

This paper presents a 3-region footloose-entrepreneur new economic geography model. Two symmetric regions are part of an economically integrated area (the Union), while the third region represents an outside trade partner. We explore how the spatial allocation of industrial production and employment within the Union is affected by changes in two aspects of trade liberalisation, regional integration and globalisation, conditional to the skill endowment and the market size of the outside region. Our main contribution pertains to the analysis of the local and global dynamics of the specified factor mobility process. We show that significant parameter ranges exist for which an asymmetric distribution of economic activities is one of the possible long-run outcomes which may allow a smooth transition to agglomeration (in contrast to the NEG typical catastrophic scenario). In addition, we show that multistability is pervasive and that some attractors are Milnor attractors. Both results reinforce the NEG narrative on the importance of initial conditions for the long-run location of industrial activity.