How do technical barriers to trade affect foreign direct investment? Tariff jumping versus regulation haven hypotheses

Ghodsi, Mahdi

doi:10.1016/j.strueco.2019.11.008

Cited by 21 publications

(12 citation statements)

References 37 publications

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“…The differences in the technical standards or technical barriers to trade (TBTs) and sanitary and phytosanitary (SPS) measures -jointly referred to as NTMs -potentially have non-trivial implications for the economic activities of MNEs. For instance, Ghodsi (2020) finds that trade-restrictive TBTs imposed by the host economy, on which a specific trade concern was raised by the home economy induce an increase in inward FDI stocks in the host economy. However, regular TBTs imposed by the host economy do not seem to have any impact on the stock of FDI, while regular TBTs imposed by the home economy may reduce the stock of FDI in the host economy.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneous effects of nontariff measures on cross‐border investments: Bilateral firm‐level analysis

Adarov

Ghodsi

2022

Rev International Economics

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We analyze the heterogeneous effects of technical regulations and safety standards embodied in nontariff measures on foreign direct investment using global firm‐level panel data of bilateral cross‐border ownership relationships over the period 2008–2018. We develop a novel measure of time‐varying bilateral ad valorem equivalents of sectoral nontariff measures, which reveals that technical barriers to trade (TBTs) played a much greater role as a trade‐inhibiting factor in comparison with import tariffs and sanitary and phytosanitary (SPS) measures over the period 1996–2018. Estimations using the Poisson pseudo‐maximum likelihood framework reveal the importance of nontariff measures as a driver of foreign direct investment.

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Section: Introductionmentioning

confidence: 99%

Heterogeneous effects of nontariff measures on cross‐border investments: Bilateral firm‐level analysis

Adarov

Ghodsi

2022

Rev International Economics

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“…Technical barriers may induce the costs of the main SC functions. Therefore, it can be said that these type of barriers can affect the quantity and quality of domestic and foreign investments (Ghodsi, 2020). Due to the rapid advancement of technology in line with the needs and potentials, dealing with technical barriers can increase resilience level of the forest biomass and bioenergy SC which in turn increases the market share and size of the SCN as well as the levels of nature friendliness, satisfaction, and profitability.…”

Section: Technical Barriersmentioning

confidence: 99%

Forest biomass and bioenergy supply chain resilience: A conceptual decision-making model

Dashtpeyma¹,

Ghodsi²

2023

Global J. Eng. Technol. Adv.

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In recent years, with the increasing concerns about the global warming, limited non-renewable energy sources, and uncertainty in renewable energy sources accessibility, how to continuously supply clean sources of energy in form of a resilient system structure has become a topic of intense scholarly interest. Based on the milestone literature on the research field of renewable and non-renewable energies, forest biomass and bioenergy have significant compatibility with both industry and nature. Through this, our proposal contributes to supply one of the most available clean energy sources and direct this type of energy needed in an optimal way. The essential resilience components are determined and classified according to the theoretical and practical concepts. Then, this research is made use of a conceptual decision-making model based on third order confirmatory factor analysis to explore the interactions among the components in form of a network. The results reveal that the proposed model has sufficient validity and reliability levels. Finally, key interactions among the elements of model that contributed to most of the impacts on the forest biomass and bioenergy supply chain resilience were found to be optimized constantly within the network.

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“…This count variable of stocks for TBTs and SPS measures is included as and , respectively. This variable has been used in earlier studies, such as Ghodsi et al (2016), Ghodsi et al (2017), Ghodsi and Stehrer (2019), and Ghodsi (2020a, 2020b).…”

Section: Data and Specificationsmentioning

confidence: 99%

Non-Tariff Measures and the Quality of Imported Products

Ghodsi

Stehrer

2021

World Trade Review

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Legitimate reasons for the imposition of non-tariff measures (NTMs) within regulations have triggered their extensive use. Among these measures, technical barriers to trade (TBTs) and sanitary and phytosanitary (SPS) measures allow countries to impose restrictions on the import of low-quality products suspected of harming domestic consumers’ health, plant life, or the environment. This paper analyses two regulative and standard-like NTMs – TBTs and SPS measures – and the quality of traded products that is driven by their imposition, which is a general underlying motive for the adoption of such regulations. A dummy variable measuring the existence of these NTMs and a count variable indicating their stringency are used in the analysis. Moreover, two other variables indicate flows of NTMs imposed in each year and stocks of these NTMs accumulated over years. The results indicate that TBTs and SPS measures do indeed imply a higher quality of traded products. Stringent TBTs with more regulations imposed in each year (i.e. flows of count TBTs) have the largest impact on the quality of traded products. However, for SPS measures, only the existence of a regulation (i.e. the dummy variable on flows of SPS measures) on a traded product has the strongest impact on its quality.

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How do technical barriers to trade affect foreign direct investment? Tariff jumping versus regulation haven hypotheses

Cited by 21 publications

References 37 publications

Heterogeneous effects of nontariff measures on cross‐border investments: Bilateral firm‐level analysis

Heterogeneous effects of nontariff measures on cross‐border investments: Bilateral firm‐level analysis

Forest biomass and bioenergy supply chain resilience: A conceptual decision-making model

Non-Tariff Measures and the Quality of Imported Products

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