How Bad Is Antidumping? Evidence from Panel Data

a b s t r a c tGiven the high share of fisheries and aquaculture production entering international trade the analysis of seafood trade is of key importance for any policy measure in the aquaculture and fisheries sectors. In this study a gravity model is developed to explore the influence on seafood trade of primary production, food consumption, population, income, GDP, trade agreements and geographical distance. The model is applied to the entire seafood aggregate, in comparison with meat, over time, and at different levels of aggregation of commodities: by main commercial species, processing and preservation stage and aquaculture versus fisheries origin. From the methodological perspective the model formulation addresses two main issues in gravity models which are the incorporation of a multilateral resistance term and the treatment of zero trade flows. The results of the model indicate the peculiarities of seafood trade in respect of meat and, within the seafood aggregate, the extreme diversification of trade determinants linked to the commercial characteristics of the products. Seafood trade is attracted either by countries with well-established seafood preferences or by countries with low labour costs for further processing, while meat exports are favoured by high per capita income and high primary production of the exporting country. Seafood trade is expanding under the influence of two key forces: one is the growth of aquaculture production and the other is the trade for re-processing. These two phenomena are clearly emerging from the differences in the model coefficients when considering disaggregated seafood trade.

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“…Applications of the BB method can be found in Melitz, [24], Egger and Nelson, [13], and Márquez-Ramos et al [23].…”

Section: Gravity Model Specification and Datamentioning

confidence: 99%

Analysis of the determinants of international seafood trade using a gravity model

2015

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“…Their study reveals that countries with stricter anti‐dumping laws experience a significant reduction of 5.9% in their annual imports. Similarly, Egger and Nelson (2011) find a negative effect of anti‐dumping duties on trade flows, although of a smaller magnitude. More recent research conducted by Felbermayr and Sandkamp (2020), which examines firm‐level evidence from China, demonstrates that anti‐dumping duties not only decrease exports but also contribute to firm exits.…”

Section: Trade and Beyondmentioning

confidence: 89%

International trade: Smarten up to talk the talk

Haas,

Schenk‐Hoppé

2023

The Manchester School

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International trade is currently under fire from many sides. Protectionist trade policies are on the rise, putting an end to the decade‐long March of free trade. Making sense of the daily headlines and having an informed opinion on your own has rarely been more important than it is now. Our work aims to explain the driving forces behind international trade, its history, how it shaped the world, its economic models, issues ranging from job losses to the environment and why buying local often makes no sense. We summarize the most important academic literature on these topics in a non‐technical, educational manner. If the reader feels enabled to form their own views on the pros and cons of international trade and that they can ‘talk the talk’, our effort has been fruitful.

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“…I refer to this method as the Chamberlain-Mundlak random effects (CMRE) model. Adding the Chamberlain-Mundlak device to control for the correlation between the unobserved effects and covariates is also the practice in Egger and Nelson (2011) with PPML estimation and in Araujo et al (2017) with RE tobit estimation. CMRE can be applied to both linear and non-linear models, and it can produce consistent estimation even if some of the time-invariant variables in the model are correlated with c ij (Egger & Nelson, 2011).…”

Section: Methods and Preliminary Testsmentioning

confidence: 99%

A global analysis of factors impacting the intensive and extensive margins of bilateral foreign direct investment

Nguyen

2019

World Economy

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This study investigates determinants of bilateral foreign direct investment (FDI) on both margins, the extensive margin (whether to invest) and the intensive margin (how much to invest), based on the recent structural gravity model for FDI developed by Anderson et al. (Trade and investment in the global economy. National Bureau of Economic Research, Cambridge, MA, 2017). I examine a global data set comprised of 110 countries over 9 years, 2004–12. Apart from conventional gravity variables, the source country's technology capital shows a significant and positive impact on both FDI margins. Bilateral investment treaties play a significant role only in determining the extensive margin. Results on FDI stocks and FDI flows can lead to different conclusions; thus, research should consult both types of data series to find which variables have robust effects. Furthermore, breaking down the sample by country development levels reveals that FDI from less‐developed countries (LDCs) is not affected by many common variables, and thus, there is a need to develop more theories and empirical work to investigate the FDI from LDCs in particular.

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How Bad Is Antidumping? Evidence from Panel Data

Cited by 77 publications

References 50 publications

Analysis of the determinants of international seafood trade using a gravity model

Analysis of the determinants of international seafood trade using a gravity model

International trade: Smarten up to talk the talk

A global analysis of factors impacting the intensive and extensive margins of bilateral foreign direct investment

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