Examining the role of border protectionism in border inspections: panel structural vector autoregression evidence from FDA import refusals on China's agricultural exports

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiehong Zhou ◽  
Yu Wang ◽  
Rui Mao ◽  
Yuqing Zheng
Keyword(s):  
Vector Autoregression ◽  
Agricultural Trade ◽  
Policy Implications ◽  
Structural Vector Autoregression ◽  
Content Type ◽  
Agricultural Exports ◽  
The Us ◽  
Border Controls ◽  
Structural Vector

PurposeAs technical barriers gradually become the important tools of trade protection, it is important to understand whether intensified enforcement of border controls is adopted as a hidden tool of trade protectionism and differs across periods and industries.Design/methodology/approachThis article applies a panel structural vector autoregression (PSVAR) model to investigate the potential role of trade protectionism motives in Food and Drug Administration (FDA) import refusals on China's agricultural exports, utilizing newly constructed monthly data at the industry level.FindingsThe results show that import refusal is mainly driven by the inspection history, highlighting the importance of the intrinsic product quality and maintaining an excellent inspection history in border inspection. The novel finding is that US employment contractions would also lead to a small increase in FDA import refusals, especially those taking place within ten months and made without sampling tests. Such an association is driven by industry-specific employment shocks and becomes stronger after the financial crisis. It is also more evident in industries where the US lacks competitiveness against China, being manufactured without mandatory safety regulations, and with negative skewness of employment growth.Originality/valueThis research is one of the preliminary attempts to understand whether the de facto border controls are worked as a hidden tool of protectionism to agricultural products, and what the specific trajectory and duration of the impacts at the monthly level. This study provides empirical evidence showing the role of protectionism motives in FDA import refusals and is heterogeneous across industries, which generate new insights and policy implications to predict and cope with additional barriers on agricultural trade.

scholarly journals Impact of COVID-19 on China's agricultural trade

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lijuan Cao ◽  
Tianxiang Li ◽  
Rongbo Wang ◽  
Jing Zhu
Keyword(s):  
Food Availability ◽  
Scenario Analysis ◽  
Agricultural Trade ◽  
Policy Implications ◽  
Content Type ◽  
Agricultural Exports ◽  
The World ◽  
Short And Long Term ◽  
The Impact

PurposeThe outbreak of the novel COVID-19 virus has spread throughout the world, causing unprecedented disruption to not only China's agricultural trade but also the world's agricultural trade at large. This paper attempts to provide a preliminary analysis of the impact of the COVID-19 pandemic on China's agricultural importing and exporting from both short- and long-term perspectives.Design/methodology/approachThis study seeks to analyze how the outbreak of COVID-19 could potentially impact China's agricultural trade. With respect to exports, the authors have pinpointed major disruptive factors arising from the pandemic which have affected China's agricultural exports in both the short and long term; in doing so, we employ scenario analysis which simulates potential long-term effects. With regard to imports, possible impacts of the pandemic regarding the prospects of food availability in the world market are investigated. Using scenario analysis, the authors estimate the potential change in China's food market—especially meat import growth—in light of the implementation of the newly signed Sino-US Economic and Trade Agreement (SUETA).FindingsThe results show that China's agricultural exports have been negatively impacted in the short-term, mostly due to the disruption of the supply chain. In the long term, dampened external demand and potential imposition of non-tariff trade barriers (NTBs) will exert more profound and lasting negative effects on China's agricultural export trade. On the other hand, despite panic buying and embargoing policies from some exporting and importing countries, the world food availability and China's food import demand are still optimistic. The simulation results indicate that China's import of pork products, in light of COVID-19 and the implementation of SUETA, would most likely see a sizable climb in quantity, but a lesser climb in terms of value.Originality/valueAgricultural trade in China has been a focal-point of attention in recent years, with new challenges slowing exports and increasing dependence on imports for food security. The outbreak of the COVID-19 pandemic adds significant uncertainty to agricultural trade, giving rise to serious concerns regarding its potential impact. By exploring the impact of the unprecedented pandemic on China's agricultural trade, this study should contribute to a better understanding of the still-evolving pandemic and shed light on pertinent policy implications.

Portfolio investment outflow and the complementary role of direct investment

2015 ◽  
Vol 7 (3) ◽  
pp. 190-206 ◽  
Author(s):  
Abdullah Noman ◽  
Mohammad Nakibur Rahman ◽  
Atsuyuki Naka
Keyword(s):  
Direct Investment ◽  
Relevant Literature ◽  
Explanatory Power ◽  
Least Square ◽  
Policy Implications ◽  
Portfolio Investment ◽  
Content Type ◽  
Foreign Portfolio Investment ◽  
Complementary Role

Purpose – This paper aims to uncover potential contemporaneous relationship between foreign portfolio investment (FPI) and another popular type of cross-border investment outflow, namely, foreign direct investment (FDI). Design/methodology/approach – The relationship between FPI and FDI are modeled using simultaneous equations approach to take potential endogeneity in to account. In a panel of 45 countries over the period of 2001-2009, FPI and FDI are found to be strategically complimentary to each other. Findings – The two-stage least square estimates suggest existence of both statistically and economically significant relationship between these two types of outflows. In particular, the FDI outflow has empirically significant predictive power in explaining the FPI outflow. Similarly, the FPI outflow also has significant explanatory power for the observed level of FDI outflow. Second, the FPI has greater explanatory power for FDI outflow than the FDI for the FPI outflow. Originality/value – The authors believe that the paper would contribute to the relevant literature in terms of its originality and scope. The empirical findings of the paper have valuable policy implications.

scholarly journals FINANCIAL SECTOR INTERCONNECTEDNESS AND MONETARY POLICY TRANSMISSION

2018 ◽  
Vol 23 (3) ◽  
pp. 1074-1101
Author(s):  
Alessandro Barattieri ◽  
Maya Eden ◽  
Dalibor Stevanovic
Keyword(s):  
Monetary Policy ◽  
Vector Autoregression ◽  
The United States ◽  
Structural Vector Autoregression ◽  
Net Worth ◽  
Financial Variables ◽  
Us Economy ◽  
The Us ◽  
Policy Shocks ◽  
Using Data

We present a stylized model that illustrates how interbank trading can reduce the sensitivity of lending to entrepreneurs' net worth, thus affecting the transmission mechanism of monetary policy through the credit channel. We build a model-consistent measure of interconnectedness and document that, in the United States, this measure has increased substantially during the period 1952–2016. Finally, interacting the measure of interconnectedness in a structural vector autoregression and a factor-augmented vector autoregression for the US economy, we find that the impulse responses of several real and financial variables to monetary policy shocks are dampened as interconnectedness increases. We confirm the same result using data from 10 Euro area countries for the period 1999–2016.

Are there dynamic productivity gains from agricultural trade?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wanki Moon
Keyword(s):  
Manufacturing Sector ◽  
Agricultural Trade ◽  
Trade Data ◽  
Content Type ◽  
Farm Level ◽  
Sequence Of Events ◽  
Plant Level ◽  
Productivity Gains ◽  
Dynamic Gain

PurposeThe primary purpose of this paper is to take an in-depth look at the question of whether liberalizing trade in agriculture can generate dynamic productivity gains comparable to those in the manufacturing sector.Design/methodology/approachIn contrast to the manufacturing sector that has generated firm/plant-level trade data, there is a lack of farm-level trade data that are needed for empirical measurement of dynamic productivity gains. Therefore, the authors use thought experiments to analyze the sequence of events that would occur when trade is liberalized for agriculture; delineate the expected behaviors of the actors involved in the trade and draw inferences about whether there would be dynamic productivity gains from agricultural trade.FindingsThe central finding is that there would be little dynamic gain from agricultural trade at the farm level due to the limited role of producers in shaping their international competitiveness. Yet, agricultural trade may generate dynamic gains if states or input supply corporations respond to the freer trade environment by making more investments for research and development (R&D). Further, when intraindustry prevails, there can be productivity gains at the industry level due to the transfer of resources from less to more efficient farm producers.Originality/valueThe findings of the paper are expected to present insights into value for researchers working in the area of agricultural trade; for agricultural trade policymakers in developing countries and for trade negotiators engaged in reforming or designing World Trade Organization (WTO)’s trade rules for agriculture.

A structural relationship model of gender-role orientation and entrepreneurial intention: examining the mediating effect of motivational antecedents in Northeast India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kiefe Heibormi Passah ◽  
Nagari Mohan Panda
Keyword(s):  
Gender Role ◽  
Entrepreneurial Intention ◽  
Northeast India ◽  
Structural Relationship ◽  
Mediating Effect ◽  
Policy Implications ◽  
Content Type ◽  
Developing Region ◽  
The Relationship

PurposeThe paper presents a structural model to explain the relationship between various gender-role orientations (GROs) and motivational antecedents leading to entrepreneurial intention (EI). It examines the influence of GRO in the formation of EI among educated youths of Northeast India.Design/methodology/approachUsing a structural equation modelling approach, the hypothesized model is tested on a sample of 642 post-graduate students from four different universities in Northeast India, a developing region with unique socio-cultural diversity. The mediating role of EI antecedents on the relationship between GRO and EI was examined after establishing the reliability and validity of the measurement model.FindingsResults from the analysis support the hypothesized structural relationship confirming the influence of GRO on EI. The study also finds that androgynous individuals have a higher EI than their masculine or feminine counterparts.Research limitations/implicationsThe study contributes to the understanding of EI determinants from a GRO perspective, especially in the industrially backward region of an emerging economy. It adds to the existing literature by empirically proving the role of gender orientation. The results have several policy implications for educational institutions and policymakers in emerging economies.Originality/valueThe paper re-examines the predictive value of the theory of planned behaviour (TPB) model from a GRO perspective and compares indirect effects of gender identity through motivational antecedents on EI. Whilst TPB predicted EI in Western and developed countries, using a more diverse sample provides strong empirical evidence in the context of a developing region.

Are stable cryptocurrencies exempted from impossible trinity?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dimitrios Koutsoupakis
Keyword(s):  
Exchange Rate ◽  
Peer Review ◽  
Price Variation ◽  
Content Type ◽  
The Us ◽  
Us Dollar ◽  
Asset Classes ◽  
Complete Catalogue ◽  
Empirical Framework

PurposeWhile monetary autonomy is self-explanatory for cryptocurrencies such as Bitcoin with predetermined supply path, it is of great interest to probe into the monetary structures of Stablecoins. In these supply contracts and expands and capital restrictions apply due to the existence of reserves as the exchange rate arrangement adheres to a price rule.Design/methodology/approachEver since the launch of Bitcoin and its offspring, examination of cryptocurrencies' trading activity from the empirical finance viewpoint has received much attention and continues to do so. The particular monetary arrangements found in Stable cryptocurrencies (colloquially referred to as Stablecoins), however, have not been properly (1) classified and (2) studied within an empirical international finance and banking context. This paper provides an empirical framework analogous to Impossible Trinity for exploring monetary arrangements across Stablecoins wherein reserves are held as price stability is targeted.FindingsThe study findings of existence of the degree of achievement along the three dimensions of the Impossible Trinity hypothesis, namely monetary independence, exchange rate stability and financial openness for a representative sample able to cover all varieties of Stablecoins, provide fresh empirical insights and arguments to this growing literature with respect to the success of their embedded exchange rate stabilization mechanisms. While the hypothesis can be supported for all cryptocurrencies in question, the trade-off combination among exchange rate stability, capital openness and monetary independence varies with the categorical types of Stablecoins.Research limitations/implicationsIf Stable cryptocurrencies, therefore, claim the role of global monetary assets freed from sovereign limits and national boundaries, it is critical to explore whether they adhere to traditional monetary frameworks. It goes without saying that in this work the author does not use a complete catalogue of all the available Stablecoins, rather a complete catalogue of all the possible asset classes of Stablecoins. While there is a significant difficulty in finding Algorithmic Stablecoins and, so far, there is plethora of Stable Token initiatives, a broader sample to further examine these under this paper's empirical framework is suggested. Enrichment of the robustness analysis by constructing additional proxies, possibly building time series for the proposed cmo1 subindex and using additional estimation methods is encouraged.Practical implicationsStablecoins have been developed aiming to address the issue of excessive price variation in cryptocurrencies such as Bitcoin. Holders of Stablecoins enjoy the combined advantages of using a blockchain-based digital infrastructure in fulfilling the functions of store of value and media of exchange and of using a traditional currency, which merely plays the role of the unit of account (and in some circumstances the trusted reserve to which is convertible to). Understanding the varieties of Stablecoins and quantifying the components for success of their price stabilization may result in designing better Stablecoins.Social implicationsBlockchain and cryptocurrencies have introduced new challenges to money and banking. Cryptocurrencies, which independently float such as Bitcoin, have gained the interest so far due to price variation that allows for gains. But these should be by far not considered to be a substitute to traditional means of payment. Lately, Stablecoins have increasingly gained attention for that USD Tether/Bitcoin pair (a Stablecoin pegged to the US dollar at parity) has outrun the US dollar/Bitcoin pair as the most traded pair in digital exchanges marking the strong position and high demand for Stablecoins.Originality/valueThis approach uncovers the varieties of Stablecoins with respect to their monetary constraints compared to the rest of the cryptocurrencies, which independently float. In this paper, the author provides a conceptual framework for the analysis of the exchange rate mechanisms conditional on Stablecoin asset classes accompanied with an empirical study from the monetary viewpoint. This is the first work in this attempt. The empirical framework employed is analogous to the traditional theory of international monetary economics referred to as Impossible Trinityz.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/JES-06-2020-0279

scholarly journals Inflasi Makanan dan Implikasinya terhadap Kebijakan Moneter di Indonesia

2016 ◽  
Vol 17 (1) ◽  
pp. 58-74
Author(s):  
Rulyusa Pratikto ◽  
Mohamad Ikhsan
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Vector Autoregression ◽  
Spillover Effect ◽  
Structural Vector Autoregression ◽  
Inflation Stabilization ◽  
Effect Of Food ◽  
Food Inflation ◽  
Structural Vector ◽  
Effectiveness Of Monetary Policy

Food Inflation and Monetary Policy Implication in IndonesiaControlling food inflation in Indonesia is essential mainly caused by its persistent and relatively significant impact on the poor’s purchasing power compare to other commodities. Thus, the main purpose of this study is to determine the effectiveness of monetary policy on food inflation stabilization in Indonesia. By utilizing Structural Vector Autoregression, the empirical results provided here show that monetary policy does eectively prevent the spillover effect of food to non-food inflation. In addition to that, the exchange rate may play some role in the longer period to affect the volatility of food inflation.Keywords: Monetary Policy; Food Inflation; Structural Vector Autoregression AbstrakPengendalian inflasi makanan penting untuk dilakukan di Indonesia terutama karena dua hal, yaitu sifat inflasi makanan yang persisten dan dampaknya terhadap penurunan daya beli keluarga miskin yang relatif tinggi dibandingkan dengan komoditas lainnya. Dengan demikian, tujuan utama penelitian ini adalah untuk mengetahui efektivitas dari kebijakan moneter terhadap pengendalian inflasi makanan di Indonesia. Dengan menggunakan metode Structural Vector Autoregression, hasil empiris menunjukkan bahwa kebijakan moneter secara efektif dapat mencegah dampak spillover inflasi makanan ke inflasi non-makanan. Selain itu, stabilitas nilai tukar dapat memiliki peran untuk mengurangi volatilitas inflasi makanan terutama pada jangka panjang.

Assessing the Macroeconomic Effects of Quantitative Easing: Empirical Evidence from the Federal Reserve’s Experience

2019 ◽  
Vol 67 (3-4) ◽  
pp. 233-245
Author(s):  
Achille Dargaud Fofack ◽  
Ahmet Aker ◽  
Husam Rjoub ◽  
Amin Sokhanvar
Keyword(s):  
Stock Prices ◽  
Economic Activity ◽  
The United States ◽  
Quantitative Easing ◽  
Structural Vector Autoregression ◽  
Monthly Data ◽  
Svar Model ◽  
The Us ◽  
Us Dollar ◽  
Structural Vector

This article aims at assessing the effects of the Federal Reserve’s quantitative easing (QE) programmes on both economic activity and prices in the United States. Using a structural vector autoregression (SVAR) model on monthly data from January 2007 to March 2017, it is assumed that a substantial fraction of the liquidity injected under the Federal Reserve’s quantitative easing programmes was used to artificially inflate stock prices. Furthermore, QE is assumed to be a competitive devaluation programme. The findings reveal that QE helps support economic activity, while its effect on inflation is rather small and insignificant. Besides, it is also found that QE boosts stock prices but does not have a significant effect on the US dollar.

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