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.     

Economic Integration: Systemic Measures in an Input–Output Framework

Countries are linked through trade and for their mutual benefits they often group together. Consequently, trade blocs are formed in some form or another, examples of which are the EU, EFTA, ASEAN, NAFTA, and SAARC. Depending upon the form and the nature of the grouping, trade relations among countries obviously vary across the trade blocs. The pattern and the volume of trade of the participating countries are different and thus cause different impacts on the growth and development of the countries concerned. Also, the nature of integration changes over time. To examine the strength of integration within trade blocs, systemic measures of integration hitherto not available are formulated in an input–output framework. The measures are used, as a case study, to assess the inter-temporal variations in the degree of integration of SAARC.     

Preferential trade agreements and manufactured goods exports: does it matter whom you PTA with?

This article explores two questions. First, do preferential trade agreements (PTAs) affect manufactured goods exports of developing countries? Second, does it matter for developing countries whom they sign the PTAs with? We find that the answer to both questions is yes. Using bilateral manufactured goods exports data from 28 developing countries during 1978–2005; we find that South–South PTAs have a significantly positive effect on manufactured goods exports. In contrast, no such effect is detected in the case of South–North PTAs. We confirmed the robustness of these findings to estimation methodology, sample selection, time period, zero trade flows and multilateral trade resistance.     

An empirical study of collaborative partnering among enterprises and government organizations for information system outsourcing

Most researches on information systems (IS) outsourcing indicate that public sector decides to outsource information technology (IT) services due to the belief that private vendors offer more cost advantages. This research explores government sectors of outsourcing and focus on the role of relationship for IS-service providers. Quantitative data of 126 questionnaires and 30 IS demonstrate that trust, mutual dependence, equipment investment and information sharing are contributing factors to successful outsourcing long-term partnerships. Information sharing between the service receiver and provider is also vital in terms of equipment investment in long-term partnerships, and is affected by the level of trust that each party holds for the other within the outsourcing process. Conceptual model is useful in explicating important government-business partnering strategies – the model highlights not only the economic benefits that the IS-outsourcing relationship brings based on social exchange theory characteristics, but also suggests many additional relevant elements.     

International income inequality, 2005–2011: what a difference 6 years can make

While much attention has recently been given to the rising inequality in high-income countries, particularly the US, inequality across countries has received less attention. Based on reports of the International Comparison Program, which provide the most accurate measures of PPP income at the country level, this study computes three highly recommended measures of intercountry income inequality for the years 2005 and 2011. A dramatic, and perhaps unprecedented, fall in intercountry inequality over the relatively short period of 6 years is noted. As a correlate of the fall in intercountry inequality, aggregate PPP GDP for six major high-income countries is compared with that for three large developing countries, and the dramatic increase over the 6-year period in the ratio of the total GDP of the three developing countries to that for the six high-income countries is noted, thus extending, from the most accurate data, the theme of the ‘rise of the South’ articulated in Human Development Report 2013.     

DISAGGREGATING FIRMS IN ANALYSING THE COSTS AND BENEFITS OF THE UNIVERSITY–INDUSTRY RELATIONSHIP: BASED ON AN ANALYTICAL AND EMPIRICAL STUDY FROM SCOTLAND

It has been acknowledged that universities are key institutions in national and regional systems of innovation. This recognition has led to a rich stream of literature analysing the university–industry relationship. However, relatively little attention has been devoted to disaggregating the ‘industry’ side of this relationship and examining the costs and benefits to the disaggregated parties involved. In the present article, which draws on an analytical and empirical study from Scotland, it is suggested that it makes sense to distinguish between three kinds of firms in analysing the university–industry relationship: large national and international R&D-intensive firms, university spin-out firms, and established small- and medium-sized enterprises (SMEs) that have had little interaction with universities. The different costs and benefits facing these firms in their interactions with universities are analysed. It is concluded that the established SMEs confront relatively high costs in relating to universities. Finally, the policy implications are explored.     

The equilibrium exchange rates of European currencies and the transition to euro

This study estimates the demand system using Japanese micro data and calculates the cost of living index (COLI) to assess the substitution bias in the Consumer Price Index. The estimated bias during the sample period of 1982–2000 is about 0.06 percentage points, which is larger than the estimates calculated from a superlative index. The difference between the COLI and a superlative index can be explained with the upward movements of the average utility level in Japan, since the cost of living for the rich has grown more rapidly than that for the poor.     

Assessing market power in the U.S. commercial banking industry under deregulation

This study attempts to investigate market power in the U.S. commercial banking industry since the U.S. government began to deregulate the banking sector in the early 1990s using the static Bresnahan–Lau model (SBLM) and dynamic Bresnahan–Lau model with error corrections (DBLEC). In particular, panel unit root and panel cointegration techniques are utilized to examine the dynamic model. The empirical results of the SBLM show that the banking industry is highly competitive. The empirical results of DBLEC also suggest that the commercial banking industry is close to being perfectly competitive in the short run. By contrast, the adjustment speeds of the supply and demand sides towards the long-run equilibrium are quite slow in that market, which implies that the U.S. commercial banks enjoy a certain degree of long-run market power.     

Labor productivity forecasts based on a Beveridge–Nelson filter: Is there statistical evidence for a slowdown?

In this paper, I assess the evidence for a structural break in labor productivity growth in the years before the Great Recession with the use of out-of-sample forecasting exercises for the years 2010 to 2019 and the recently developed Beveridge–Nelson filter. Models based on a Beveridge–Nelson filter with no structural breaks outperform those allowing for a structural break, and there is statistically significant evidence that they outperform the random walk, though all models were too optimistic about labor productivity growth. Recently developed statistical tests do point to the presence of a structural break before the Great Recession, but uncertainty about the data-generating process for labor productivity growth or the timing and magnitude of the break may be too great to be helpful in forecast preparation.