Does backward participation in global value chains affect countries’ current account position?

Review of World Economics - This paper addresses the impact of countries’ backward participation in global value chains (GVCs) on their current account balances. Our results, based on a large...     

Do developing countries gain by participating in global value chains? Evidence from India

Review of World Economics - Is it in the interest of a developing country to promote strong local linkages for domestic industries or to participate in global value chains (GVCs) wherein linkages...     

Global value chains and the “missing exports” of the United States

Many American multinational corporations have turned into factory-less. They outsource the production of their products to foreign companies and derive the largest share of their revenues from intellectual property and services embedded in physical products sold to international consumers. However, conventional trade statistics are compiled based on the value of goods crossing national borders, as declared to customs. The value added associated with intellectual property and services embedded in physical goods is not recorded as an export. Current trade statistics greatly underestimate US exports. In this paper, we use the case of Apple, the largest American consumer products company and a typical factory-less manufacturer, to illustrate the failure of conventional trade statistics to report actual US export capacity in the age of global value chains. According to our analysis of this case, if the value added of Apple intellectual property and services embedded in all Apple products sold to foreign consumers were counted as part of US exports, total US exports in 2015 would increase by 3.4%, and its trade deficit would decrease by 7.0%. In terms of bilateral trade, the value added under examination here would raise the US exports to China and Japan by 16.6% and 8.7% respectively, and lower its trade deficit with the two countries by 5.2% and 7.8% accordingly.     

China's oil product pricing mechanism: What role does it play in China's macroeconomy?

The oil product pricing mechanism is a regulation system that was introduced in the late 1990s to control the oil product prices in China. For the first time to our knowledge, we provide an empirical evaluation of this regulation system, with a particular focus on its role in China's macroeconomy. Based on monthly data between 2000 and 2013, we find that: (i) contrary to the general public's impression, the mechanism is ‘fair’ overall in the sense that it responds to the rise and fall of international oil price symmetrically; (ii) the effect of the mechanism on the Chinese economy, however, is very limited; and (iii) the limited effect of the mechanism holds for different levels of regulation during the studied period, suggesting that potential deregulation may have little impact on the economy.     

What are the Determinants of Large‐scale Farming in China?

The Chinese Government has increased its focus on expanding farm scale to promote agricultural development since 2010. A series of favorable polices has been adopted to support large‐scale farming. Using a multivariate probit model and 2015 and 2016 rural household survey data, the present paper examines the factors that influence small farmers' decision to become large‐scale farmers. The empirical regression results suggest that the decision to become a large‐scale farmer is significantly influenced by household human capital, cooperative membership, marketing channels, land‐transfer contracts and government policies. However, the influence of these factors differs with respect to becoming large‐scale grain and non‐grain farmers. These results imply that policy tools should target these factors and the appropriate group of small‐scale farmers. Generally, both central and local governments should promote large‐scale farming by enhancing rural households' human capital, improving marketing channels and providing agricultural social services, as well as encouraging returning migrant workers to engage in large‐scale farming.     

China's outward foreign direct investment in the Belt and Road Initiative: What are the motives for Chinese firms to invest?

Because of the potentially large and important effects of the extremely ambitious Belt and Road Initiative (BRI) launched by China in late 2013, considerable attention has been given to the motives for, and repercussions of, the BRI-driven infrastructural projects. Yet, the non-infrastructural outward foreign direct investment (FDI) from China to BRI countries, which varies quite substantially across different sectors and different countries, has not yet received much attention. In contrast to some recent studies showing that the massive initiative has increased China's total FDI outflows to fellow BRI countries, in this paper, based on our sector-level difference-in-differences models, we find that effect to be statistically insignificant. Yet, at the same time, we provide empirical evidence on the sectoral pattern of China's outward FDI before and after 2014 indicating that China's FDI outflows to BRI countries have significantly increased in sectors characterized by overcapacity and contributing to pollution in China, thereby demonstrating that China's BRI-driven outward FDI has been very selective in terms of sectors. We confirm these findings with a variety of robustness checks and show that it is BRI countries with relatively low institutional quality that have been more likely to receive these types of FDI from China. We thus speculate that Chinese firms have been motivated to place FDI investments in BRI countries for the sake of alleviating China's own overcapacity and pollution problems. Our findings lead us to suggest that, although these sectoral patterns are consistent with the different stages of economic development in which China and its fellow BRI-identified countries find themselves, Chinese investors and host country governments should be more concerned with the potential for unwanted side-effects of the FDI investments so that the mutually beneficial effects of the BRI can be sustained into the indefinite future among all countries involved.     

What Drives Cost Efficiency of Banks in China?

This study uses stochastic frontier analysis to examine the factors that influenced cost efficiency of banks in China from 2005 to 2013. The results indicate that policy variables, such as the reserve requirement ratio, the interest rate spread and open market operations by the People's Bank of China, are effective in improving the cost efficiency of banks, but shadow banking variables may reduce cost efficiency. Among the various bank types, city commercial banks appear to be the most efficient and foreign banks are the least efficient. The present study suggests that policy‐makers can have a positive influence on bank cost efficiency by adjusting macro policy variables on different types of banks and by requiring more information on the shadow banking activities to improve monitoring.     

Measuring regional labour markets in South Africa: How robust are sub-national estimates from the Quarterly Labour Force Survey?

This article explores the limitations of using data from the Quarterly Labour Force Survey (QLFS) to estimate robust sub-national labour market indicators in South Africa. The precision of labour market indices in the QLFS is very sensitive to which geographic scale is examined – national, provincial or metro – and in each instance the size of the population of the province or metro. The results show that errors from sampling at regional and city levels may be prohibitively large although in some instances broad patterns between regions can be identified notwithstanding a fairly blunt instrument. The findings highlight the imperative to be transparent about sampling errors and to foster sensitivity within government, business and the public in general. This exercise is instructive for generating other regional socio-economic indicators that are based upon similar household sample surveys such as the General Household Survey, Living Conditions Survey and Income and Expenditure Survey.     

The nexus of finance and GDP growth in Japan: Do real interest rates matter?

This study empirically investigates whether real interest rates are associated with a stronger or weaker finance–growth relationship in the Japanese economy, where the relationships between banks and firms are characterized by main bank relationships and keirestu as well as a government implemented low interest rate policies since the early 1990s. Several econometric models are used to obtain empirical robustness. This study confirms the substantial effects of real interest rates on finance–growth relationships in Japan. In the regime with higher (lower) real interest rates, the banking system has significantly positive (adverse) effects on output growth. Empirical evidence exists that a low interest rate policy is an important hindrance to the ability of the banking system to impact economic growth in Japan.     

Increasing Downside or Outer Risk? The Challenge of Measuring Competitive Imbalance in Closed and Open Leagues

In two seminal articles, Menezes, Geiss, and Tressler (1980) and Menezes and Wang (2005) have defined the concepts of increases in downside and in outer risk. Such notions are useful to give intrinsic characterizations of the notions of prudence and temperance. In this article, we explore a new application about higher‐order risk preferences: the measurement of competitive imbalance in sports leagues. We show that desirable properties for the measurement of imbalance are the inclination to any increase in downside risk in the context of closed leagues, and the aversion to any increase in outer risk in the context of open leagues.     

Challenges to small and medium-size businesses in Myanmar: What are they and how do we know?

We conducted a field survey of owners of small and medium enterprises (SMEs) in Yangon, Myanmar to investigate obstacles to business development in the region. The analysis focuses on access to credit, public services, and electricity. We find that relaxing loan collateral requirements is considered of prime importance, while access to bank loans is seen as problematic (equivalent to a 19 percentage point increase in the interest rate). Yet despite their widespread appeal to governments and donors, SME loans are found to have no discernible impact on perceived access to credit. Access to public services is hampered by cumbersome and time consuming procedures, often necessitating daylong trips to the capital for administrative procedures. Streamlining such procedures could yield annual savings of up to US $4700 per business. With regard to electricity, the biggest problems are installing new connections and the unreliability of supply. For benchmarking of concerns, we showed respondents vignettes describing hypothetical businesses facing a particular difficulty, and asked them to rate the gravity of the problem. Although we find some differences in response scales across socio-economic and ethnic groups, the qualitative conclusions about which problems are most important generally hold. This suggests that broad-based policy intervention aimed at easing a particular difficulty can be implemented.     

What Drives Pension Indexation in Turbulent Times? An Empirical Examination of Dutch Pension Funds

This paper identifies the key factors influencing indexation decisions in turbulent economic times within defined benefit plans using a unique panel dataset of 166 Dutch pension funds from 2007 to 2010. Key drivers of indexation are the funding ratio, inflation and real wage growth. The type of pension fund and the interest rate exposure are also statistically significant, although the latter effect is nonlinear. The asset allocation has no significant effect on the level of provided indexation as this is already captured by the funding ratio. We also examine the relation between policy ladders and the actual level of provided indexation. This study finds that a policy ladder with an upper limit equal to a 100 % real funding ratio is able to predict the actual level of indexation more accurately than a ladder with an upper limit based on a pension fund’s required nominal funding ratio. The latter tends to overestimate the actual level of indexation.     

What types of houses remain vacant? Evidence from a municipality in Tokyo,Japan

Preventing the occurrence of vacant houses and reutilizing existing vacant houses are two known ways of addressing housing vacancies. This study uses parcel-level data on single-family houses in the municipality of Toshima in Tokyo, Japan, to examine determinants of the occurrence and reutilization of vacant houses. The data reveal that, conditional on land prices, houses with restricted and costly redevelopment opportunities are more likely to become vacant. The results suggest that owners with such properties disregard the redevelopment potential and, as a result, tend to have a high reservation price relative to the market value. Consequently, owners face difficulty finding a transaction partner and even become reluctant to engage in a deal (i.e., they withdraw from the market). The results also suggest that revitalization of the neighborhood community may contribute to activating vacant houses. Local governments can use an empirical assessment such as this to implement efficient measures by targeting houses that have a high probability of becoming and remaining vacant.     

What is the role of government trust in a firm's R&D investments? Evidence from SMEs

We examine how government trust shapes the R&D behaviors of small and medium enterprises (SMEs). To study this, we use data collected on 3045 Chinese SMEs to find that for every standard deviation increase in the government trust index, an SME has a 23.9% increase in their R&D investments. Our findings are robust after accounting for endogeneity using an instrumental variable and controlling for the impact of social trust. We further discover that SME owners who are more motivated to conduct innovation will make more R&D investments when they trust the government, driven in part by their willingness to take more risks. Finally, the effect of government trust on R&D investments is less salient when the region has a high marketization level.     

What has Happened to the Urban Population in Côte d'Ivoire Since the 1980s? An Analysis of Monetary Poverty and Deprivation Over 15 Years of Household Data

This article investigates the evolution of urban poverty in its various dimensions in Côte d'Ivoire since the 1980s. The robustness of the results is checked using dominance criteria. An econometric analysis of poverty complements the analysis. The study shows that the dynamic of poverty in terms of existence conditions can significantly differ from that of monetary poverty. As was the case in the 1980s, monetary poverty increased strongly in the 1990s in spite of a return to sustained growth following the devaluation of the CFA Franc. Poverty in terms of existence conditions rose less before the adjustment and even decreased afterward.     

What happens to land price when a rural construction land market legally opens in China? A spatiotemporal analysis of Nanhai district from 2010 to 2015

Urban and rural construction land markets in China, the two formerly separated markets, are beginning to be unified in some pilot areas. So far, but little is known about the associated land market development patterns and what factors influence land market price. In order to examine the impact of urban developers' access to legal rural construction land market on land price, we analyzed the spatiotemporal heterogeneity of price trends for the rural-urban land market in Nanhai district, Guangdong Province, between 2010 and 2015. We collected 2285 land transaction data during that span and mapped price contour lines for the rural-urban development land market in the whole district by using spatial interpolation techniques. Four hedonic price models, on rural and urban construction land respectively, were developed to measure the marginal effects of land attributes on price. Results from the analysis suggest that, temporally, the prices of rural-urban development land grew rapidly between 2010 and 2015. Spatially, prices spread along a gradient from east to west, and the prices in North Nanhai district were significantly higher than those in the south. The hedonic models also suggest that land use type, lot size, and various spatial characteristics impact rural and urban land prices. Overall, this research presented here contributes our understanding of the complex nature of establishing a unified land market in China.