How do free trade agreements change import prices? : firm-level evidence from China's imports from ASEAN

The literature has revealed the positive impacts of free trade agreements (FTAs) on export prices by employing product-level trade data. This paper empirically examines the impacts of FTAs on import prices at the firm level. We focus on firm-level imports in China from ASEAN countries by employing China’s firm-product-level trade data. As a result, controlling for firm characteristics and product characteristics, we could not find significantly positive impacts of an FTA’s entry into force on import prices of FTA eligible products. Instead, we found a significant increase in import quantities of FTA eligible products. Thus, at the firm level, the gains from FTAs for exporters may be the increase in export quantities rather than the rise in export prices.

New measures of FTA liberalization level

This paper proposes new measures of the liberalization level of free trade agreements (FTAs). Our measures take three issues into account. First, in order to identify the differences in FTA liberalization level over time, we compute the annual liberalization level rather than the level during the whole period. Second, our measure includes information on tariff margins, i.e. the difference between FTA rates and most favoured nation rates. Third, the restrictiveness of rules of origin (RoOs) is also taken into account in order to penalize the liberalization level of products with more restrictive RoOs. In this paper, we compute such measures of FTA liberalization level for three FTAs in Thailand.

Some practical guidance for the computation of free trade agreement utilization rates

The literature on the use of free trade agreements (FTAs) has recently been growing because it is becoming more important to encourage the use of current FTAs than to increase the number of FTAs. In this paper, we discuss some practical issues in the computation of FTA utilization rates, which provide a useful measure to discover how much FTA schemes are used in trade. For example, compared with the use of customs data on FTA utilization in imports, when using certificates of origin data on FTA utilization in exports, there are several points about which we should be careful. Our practical guidance on the computation of FTA utilization rates will be helpful when computing such rates and in examining the determinants of those rates empirically.

Tariff reductions and labor demand elasticities : evidence from Chinese firm-level data

International production fragmentation has been a global trend for decades, becoming especially important in Asia where the manufacturing process is fragmented into stages and dispersed around the region. This paper examines the effects of input and output tariff reductions on labor demand elasticities at the firm level. For this purpose, we consider a simple heterogenous firm model in which firms are allowed to export their products and to use imported intermediate inputs. The model predicts that only productive firms can use imported intermediate inputs (outsourcing) and tend to have larger constant-output labor demand elasticities. Input tariff reductions would lower the factor shares of labor for these productive firms and raise conditional labor demand elasticities further. We test these empirical predictions, constructing Chinese firm-level panel data over the 2000--2006 period. Controlling for potential tariff endogeneity by instruments, our empirical studies generally support these predictions.

FTA in international finance : impacts of exchange rates on FTA utilization

This paper investigates how exchange rates affect the utilization of a free trade agreement (FTA) scheme in trading. Changes in exchange rates affect FTA utilization by two ways. The first way is by changing the excess profits gained by utilizing the FTA scheme, and the second way is by promoting the compliance of rules of origin. Our theoretical models predict that the depreciation of exporters' currency against that of importers enhances the likelihood of FTA utilization through those two channels. Furthermore, our empirical analysis, which is based on rich tariff-line-level data on the utilization of FTA schemes in Korea's imports from ASEAN countries, supports the theoretical prediction. We also show that the effects are smaller for more differentiated products.

Measuring the usage of preferential tariffs in the world

The preference utilization ratio, i.e., the share of imports under preferential tariff schemes out of total imports, has been a popular indicator for measuring the usage of preferential tariffs vis-à-vis tariffs on a most-favored-nation basis. A crucial shortcoming of this measure is the data requirements, particularly for import value data classified by tariff schemes, which are not available in most countries. This study proposes an alternative measure for preferential tariff utilization, termed the "tariff exemption ratio." This measure offers the unique advantage of needing only publicly available data, such as those provided by the World Development Indicators, for its computations. We can thus calculate this measure for most countries for an international comparison. Our finding is that tariff exemption ratios differ widely across countries, with a global average of approximately 50%.

Gravity with multiple tariff schemes

This study contributes to the literature on gravity analysis by explicitly incorporating both most favored nation (MFN) rates and regional trade agreement (RTA) rates. Our gravity equation considers the fact that all exporters do not necessarily utilize RTA schemes, even when exporting to their RTA partners. We apply the tariff line–level data on worldwide trade to this gravity equation. As a result, we find a significantly negative coefficient for the (log) ratio of RTA rates to MFN rates. From the quantitative point of view, we show that in the first year of the Japan–Australia Economic Partnership (i.e., 2015), exports from Australia to Japan are expected to increase by 6% compared with the exports in 2014. Furthermore, it is shown that, based on the subsequent reduction in RTA rates, the magnitude of the trade-creation effect through tariff reductions gradually rises over time.

The emerging ASEAN approach to mutual recognition : a comparison with Europe, trans-Tasman, and North America

Existing studies on mutual recognition agreements (MRAs) are mostly based on the European experience. In this paper, we will examine the ongoing attempts to establish a mutual recognition architecture in the Association of Southeast Asian Nations (ASEAN) and seek to explain the region's unique approach to MRAs, which can be classified as a "hub and spoke" model of mutual recognition. On one hand, ASEAN is attempting to establish a quasi-supranational ASEAN-level mechanism to confer "ASEAN qualification" effective in the entire ASEAN region. On the other hand, ASEAN MRAs respect members' national sovereignty, and it is national authorities, not ASEAN institutions, who have the ultimate power to approve or disapprove the supply of services by ASEAN qualification holders. Such a mixed approach to mutual recognition can be best understood as a centralized mechanism for learning-by-doing, rather than centralized recognition per se.

掺Yb^3＋的氧化镧钇透明激光陶瓷的光谱特性

采用传统陶瓷烧结工艺，在无压还原气氛中低温制备了Yb^3＋掺杂量高达10％（按摩尔计）的透明性良好的氧化镧钇激光陶瓷，研究了其在室温的吸收光谱、发射光谱以及荧光寿命。结果表明：掺Yb^3＋氧化镧钇透明激光陶瓷具有宽的吸收和发射光谱以及长的荧光寿命。吸收峰位于902，942nm和968nm处，吸收截面分别为0.31×10^-20,0.45×10^-20cm^2和0.53×10^-20cm2：主发射峰位于1032nm和1075nm处，发射截面分别为1.05×10^-20cm^2和0.87×10^-20cm ^

Long chain n-3 PUFA-rich meal reduced postprandial measures of arterial stiffness

Background & aims The consumption of long chain n − 3 polyunsaturated fatty acids (LC n − 3 PUFA) is known to be cardio-protective. Data on the influence of LC n − 3 PUFA on arterial stiffness in the postprandial state is limited. The aim of this study was to investigate the acute effects of a LC n − 3 PUFA-rich meal on measures of arterial stiffness. Methods Twenty-five healthy subjects (12 men, 13 women) received a control and a LC n − 3 PUFA-rich meal on two occasions in a random order. Arterial stiffness was measured at baseline, 30, 60, 90, 120, 180 and 240 min after meal consumption by pulse wave analysis and digital volume pulse to derive an augmentation index and a stiffness index respectively. Blood samples were taken for measurement of lipids, glucose and insulin. Results Consumption of the LC n − 3 PUFA-rich meal had an attenuating effect on augmentation index (P = 0.02) and stiffness index (P = 0.03) compared with the control meal. A significant treatment effect (P = 0.036) was seen for plasma non-esterified fatty acids concentrations. Conclusions These data indicate that acute LC n − 3 PUFA-rich meal consumption can improve postprandial arterial stiffness. This has important implications for the beneficial properties of LC n − 3 PUFA and cardiovascular risk reduction.

Mus Hs 678 - Var: Cor, et Fagott ...

par C. Oestreich

Solar radiation over and under sea ice and photographic quantification of Ice algal aggregates during the POLARSTERN cruise ARK-XXVII/3 (IceArc) in summer 2012

The ice cover of the Arctic Ocean has been changing dramatically in the last decades and the consequences for the sea-ice associated ecosystem remain difficult to assess. Algal aggregates underneath sea ice have been described sporadically but the frequency and distribution of their occurrence is not well quantified. We used upward looking images obtained by a remotely operated vehicle (ROV) to derive estimates of ice algal aggregate biomass and to investigate their spatial distribution. During the IceArc expedition (ARK-XXVII/3) of RV Polarstern in late summer 2012, different types of algal aggregates were observed floating underneath various ice types in the Central Arctic basins. Our results show that the floe scale distribution of algal aggregates in late summer is very patchy and determined by the topography of the ice underside, with aggregates collecting in dome shaped structures and at the edges of pressure ridges. The buoyancy of the aggregates was also evident from analysis of the aggregate size distribution. Different approaches used to estimate aggregate biomass yield a wide range of results. This highlights that special care must be taken when upscaling observations and comparing results from surveys conducted using different methods or on different spatial scales.

Particulate and phytoplankton absorption during POLARSTERN cruises ANT-XXVI/3 and ANT-XXVIII/3

The euphotic depth (Zeu) is a key parameter in modelling primary production (PP) using satellite ocean colour. However, evaluations of satellite Zeu products are scarce. The objective of this paper is to investigate existing approaches and sensors to estimate Zeu from satellite and to evaluate how different Zeu products might affect the estimation of PP in the Southern Ocean (SO). Euphotic depth was derived from MODIS and SeaWiFS products of (i) surface chlorophyll-a (Zeu-Chla) and (ii) inherent optical properties (Zeu-IOP). They were compared with in situ measurements of Zeu from different regions of the SO. Both approaches and sensors are robust to retrieve Zeu, although the best results were obtained using the IOP approach and SeaWiFS data, with an average percentage of error (E) of 25.43% and mean absolute error (MAE) of 0.10 m (log scale). Nevertheless, differences in the spatial distribution of Zeu-Chla and Zeu-IOP for both sensors were found as large as 30% over specific regions. These differences were also observed in PP. On average, PP based on Zeu-Chla was 8% higher than PP based on Zeu-IOP, but it was up to 30% higher south of 60°S. Satellite phytoplankton absorption coefficients (aph) derived by the Quasi-Analytical Algorithm at different wavelengths were also validated and the results showed that MODIS aph are generally more robust than SeaWiFS. Thus, MODIS aph should be preferred in PP models based on aph in the SO. Further, we reinforce the importance of investigating the spatial differences between satellite products, which might not be detected by the validation with in situ measurements due to the insufficient amount and uneven distribution of the data.