An Analysis of the Pattern of Korea-China Agricultural Trade Patterns Using the Gravity Model

2017 ◽  
Vol 13 (4) ◽  
pp. 299-312
Author(s):  
Hyun-Hee Park ◽  
Data & Policy ◽  
2021 ◽  
Vol 3 ◽  
Author(s):  
Munisamy Gopinath ◽  
Feras A. Batarseh ◽  
Jayson Beckman ◽  
Ajay Kulkarni ◽  
Sei Jeong

Abstract Focusing on seven major agricultural commodities with a long history of trade, this study employs data-driven analytics to decipher patterns of trade, namely using supervised machine learning (ML), as well as neural networks. The supervised ML and neural network techniques are trained on data until 2010 and 2014, respectively. Results show the high relevance of ML models to forecasting trade patterns in near- and long-term relative to traditional approaches, which are often subjective assessments or time-series projections. While supervised ML techniques quantified key economic factors underlying agricultural trade flows, neural network approaches provide better fits over the long term.


2018 ◽  
Vol 6 (1) ◽  
pp. 41-57
Author(s):  
Purwono Nugroho ◽  
Muhammad Firdaus ◽  
Alla Asmara

There have been growing concerns about the effects of food safety standards on agricultural trade throughout the world. One of the food safety standards applied in international trade is the adoption of maximum residue limits of pesticides. This research uses panel gravity model to analyze the effect of maximum residual limit (MRL) of pesticides imposed by importing countries on export of Indonesia’s medicinal plant products. The results show that stringent food safety standards imposed by importing countries have a negative and statistically significant effect on Indonesia’s export of medicinal plant products. The results also show that volume of Indonesia’s medicinal plant products exports are influenced by real GDP of exporter and importer, population, production, economic distance, and ad valorem tariff. Keywords: food safety standard, Gravity model, Panel data, Medicinal plant products.


2020 ◽  
Vol 12 (24) ◽  
pp. 10545
Author(s):  
Sung Ju Cho ◽  
Saera Oh ◽  
Sang Hyeon Lee

This study quantifies the structure similarity of nontariff measures between countries and estimates its impact on bilateral agricultural trade using a structural gravity model. The findings show that a similar structure of technical barriers to trade (TBT) between countries is likely to expand their bilateral trade. However, a similar structure of sanitary and phytosanitary measures (SPS) is shown to have negative impacts on agricultural trade. We also discuss the effects of regulatory harmonization on sustainable development.


2018 ◽  
Vol 10 (5(J)) ◽  
pp. 125-137
Author(s):  
Sibanisezwe Alwyn Khumalo ◽  
Asrat Tsegaye

The study made use of the gravity model to analyze the behavior of South Africa’s trade patterns at industry level. Using SIC 2-digit level data for the period 1996-2013 based on two sub-samples, 1996-2004 and 2005-2013, the study found that trade liberalization was not universally influential on trade patterns. Some industries did not exhibit significant behavior changes as a result of tariff liberalization. The results show that Agriculture, mining ores, crude oil, machinery and transport are the only industries from the selected sample of nine that are significantly influenced by trade liberalization policy. Furthermore, empirical results indicate that trade liberalization hinders extensive margins and does not encourage intensive margins.  


2020 ◽  
Vol 23 (4) ◽  
pp. 187-207
Author(s):  
Waheed Ullah Jan ◽  
Mahmood Shah

This paper attempts to examine Pakistan’s trade patterns with South Asian countries by using a gravity model of trade. The main objective of the study is to quantify the long‑run impacts of gravity variables. To achieve this objective, a panel data set for the period 2003 to 2017 has been used. Based on the mixed evidence of the results of panel unit root tests, Pooled Mean Group (PMG) and Panel Dynamic Ordinary Least Square (DOLS) techniques are applied. The outcome of the PMG and Panel DOLS models justifies the theoretical background of the gravity model and suggests that all the basic gravity variables haveusual signs. The RGDPs and population of both Pakistan and the partner country have a positive impact on their bilateral trade. On the other hand, the distance between the two trading countries and the exchange rate have a negative impact on bilateral trade.The uniqueness of this study is that it measures the impacts of qualitative variables along with basic gravity variables. Language similarities and common borders have a positive impact on bilateral trade. Pakistan has borders with India and Afghanistan, but their trade relations are not worth mentioning. The military conflicts between Pakistan and India, and the political suspicions between Pakistan and Afghanistan hinder their trade relations.


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