The Impact of Exchange Rate on US Imports of Salmon: A Two-Stage Demand Model Approach

Zhang, Dengjun

doi:10.1080/08853908.2019.1631916

Cited by 6 publications

(4 citation statements)

References 35 publications

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“…Additionally, the exchange rate of Malaysian Ringgit per Chinese Yuan (EXRMY) was also considered a "price of complement" for a trade product, when the country's currency appreciates, the export demand increases (Khalighi & Fadaei, 2017). This means the exchange rate can be the demand switcher that affects the import price in the destination market (Zhang, 2020). Hence, in general, the primary demand function for the export demand of Malaysian palm oil to China was expressed as a double-log regression and written as Equation 2:…”

Section: Model Specificationmentioning

confidence: 99%

Selected Factors Influencing China's Palm Oil Import Demand from Malaysia

Ahmad¹,

Wong²,

Kamarulzaman³

2022

J AGRIB RURAL DEV RES

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The export of palm oil from Malaysia to China has declined since 2013, although the Malaysian Ringgit has depreciated. The Malaysian palm oil market has also struggled against the Indonesian palm oil and soy oil in China. Hence, this study aimed to identify the significant factors influencing China's demand for Malaysian palm oil by adopting the Auto-Regressive Distributed Lag (ARDL) analysis. The finding revealed that the currency rate of exchange, the foreign trade price of Malaysian palm oil to China, and the international soy oil price significantly influence Malaysian palm oil demand in China. Nevertheless, China's real GDP per capita showed a positive and significant influence only in the long run. The demand for Malaysian palm oil in China was not significantly impacted by the palm oil price offered by Indonesia, neither in the long run nor short run. Thus, the authorities related to this industry need to strategize the stock management system to control the price and currency stabilization to maintain its competitive power.

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Section: Model Specificationmentioning

confidence: 99%

Selected Factors Influencing China's Palm Oil Import Demand from Malaysia

Ahmad¹,

Wong²,

Kamarulzaman³

2022

J AGRIB RURAL DEV RES

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“…The seafood sector is exposed to various supply shocks such as stock changes and collapses and changing environmental conditions [1] , [2] , [3] , sudden and unanticipated shifts in fisheries management [2] , [4] , demand shocks such as trade wars [5] , [6] , economic downturns [7] , [8] , and exchange rate changes [9] , [10] , affecting trade patterns and prices. Some fisheries have also been affected on the demand side by the rapid increase in aquaculture production [11] , [12] as exemplified by species such as tilapia and pangasius in the whitefish market [13] , [14] .…”

Section: Introductionmentioning

confidence: 99%

Large-scale fisheries during the COVID-19 pandemic: The case of the oceangoing groundfish fleet in Norway

2022

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“…Analyzing the work of foreign scientists, we can find a certain regularity. Application of empirical-analytical approaches, for example, using elastic variables and GEASI model (Lusk et al, 2019), improved by Komer on the Cobb-Douglas approach of the Solow model (Edeme et al, 2016;Zamula et al, 2020), direct analysis of the connections between break-even and yield (Tun and Phyo, 2019), the method of comparative indicators of benefits (Seleka and Dlamini, 2020;Ostapenko et al, 2020) for the formation of export forecasts for countries with unfavorable starting conditions (which is interesting for Ukraine) (Bilan et al, 2017;Lavrysh, 2018), are changing to more complex models using linear splines, robust combination of constraints, etc. give more relevant results.…”

mentioning

confidence: 99%

“…Therefore, for mathematical modeling of agro-exports, it is proposed to apply an approach that has not yet been used to predict economic trends in foreign markets. Some aspects of this approach are presented in scientific work (Melnikov et al, 2015;Zamula et al, 2020). This is the prediction of the motion vector of a continuous system, the component of which are successive attractors of the same type of aperiodic functional dependences of the first order on the response surface of the target function.…”

mentioning

confidence: 99%

Analysis and forecasting of Ukrainian agrarian exports to the EU countries

Koliadenko

Andreichenko

Galperina

et al. 2020

Agric. resour. econ.

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Purpose. The purpose of the paper is to study the state, perspective directions of Ukrainian exports of agricultural products and the introduction of effective forecasting using the method of mathematical modeling of a continuous system of aperiodic components. Methodology / approach. In the process of research, the fundamental provisions of modern economic science were used in relation to the groups of factors influencing the resulting indicators of export, foreign trade trends, methods of statistical analysis to assess the weight of factors influencing the resulting function, as well as modern mathematical methods for forecasting of agrarian exports were implemented. Results. The application of the developed mathematical model and the algorithm based on it, allowed to study the situation with the export of Ukrainian agricultural products to the EU, to identify trends specific to individual countries and the EU market as a whole, to assess the opportunities and prospects of niche markets, expansion nomenclature of export goods. Prognoses were given both on the export prospects of individual goods, product groups, and on the volume of deliveries to the EU. The use of factor analysis for forecasting of export deliveries allowed us to assess the impact of each of the factors and limit their amount. Originality / scientific novelty. For the first time, the method of mathematical modeling of a continuous system based on changes in its aperiodic components was used for efficient and relevant forecasting of agrarian export volumes. Even the stages of application of this method, in particular, the analysis and prognoses for individual items of the nomenclature of export goods, for individual countries – importers make it possible to represent the situation with agrarian exports more accurately and forecast future supplies. Practical value / importance. The proposed mathematical approach for market analysis and forecasting of markets can be used by both market regulators and producers and exporters of agricultural products. These polynomial equations for analysis and prognostication for individual product groups can be directly used in practice.

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The Impact of Exchange Rate on US Imports of Salmon: A Two-Stage Demand Model Approach

Cited by 6 publications

References 35 publications

Selected Factors Influencing China's Palm Oil Import Demand from Malaysia

Selected Factors Influencing China's Palm Oil Import Demand from Malaysia

Large-scale fisheries during the COVID-19 pandemic: The case of the oceangoing groundfish fleet in Norway

Analysis and forecasting of Ukrainian agrarian exports to the EU countries

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