scholarly journals The Impact of Structure Similarity of Nontariff Measures on Agricultural Trade

2020 ◽  
Vol 12 (24) ◽  
pp. 10545
Author(s):  
Sung Ju Cho ◽  
Saera Oh ◽  
Sang Hyeon Lee
Keyword(s):  
Sustainable Development ◽  
Gravity Model ◽  
Bilateral Trade ◽  
Agricultural Trade ◽  
Technical Barriers To Trade ◽  
Structure Similarity ◽  
Regulatory Harmonization ◽  
Phytosanitary Measures ◽  
Negative Impacts ◽  
The Impact

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.

EVALUATING THE IMPACT OF SANITARY AND PHYTOSANITARY MEASURES ON AGRICULTURAL TRADE: EVIDENCE FROM THAI FRUIT EXPORTS TO CHINA

2021 ◽  
pp. 1-19
Author(s):  
SASIWOOTH WONGMONTA
Keyword(s):  
Recent Decade ◽  
Agricultural Trade ◽  
Substantial Effect ◽  
Trade Barriers ◽  
Sample Period ◽  
Sectoral Analysis ◽  
Gravity Equations ◽  
Important Challenge ◽  
Phytosanitary Measures ◽  
The Impact

Food safety concerns have become increasingly important challenge for agricultural trade. Sanitary and phytosanitary (SPS) measures are often considered as major non-tariff trade barriers, which have surged rapidly over the recent decade. This study systematically investigates the impact of China’s SPS measures on Thai fruit exports. The panel dataset is constructed with 17 Thai fruit items for the sample period 2000–2018. Gravity equations are estimated to quantify the trade effects of SPS measures on the value of fruit exports from Thailand to China. The results from the sectoral analysis reveal that the restrictiveness of SPS measures has a positive and substantial effect on export volumes. This suggests that non-arbitrary and informative SPS requirements imposed by a large importing country would help facilitate the agricultural trade.

scholarly journals Simulation Modeling of the Sustainable Supply Chain

2020 ◽  
Vol 12 (15) ◽  
pp. 6007 ◽  
Author(s):  
Patrycja Hoffa-Dabrowska ◽  
Katarzyna Grzybowska
Keyword(s):  
Sustainable Development ◽  
Supply Chain ◽  
Global Economy ◽  
Simulation Models ◽  
Exhaust Emissions ◽  
Simulation Tool ◽  
Sustainable Supply Chain ◽  
Use Of Resources ◽  
Negative Impacts ◽  
The Impact

The development of the global economy affects the environment in which we are living, often in negative ways, including pollutions, exhaust emissions, depletion of natural resources, and other concerns. Therefore, it is so important to use resources in a reasonable, sustainable manner and to be aware of the impact of our activities on the environment, which in the next stage translates into trying to limit negative impacts to the environment. Aspects of sustainable supply chain (SSC) have become more and more popular in the last years. Entrepreneurs pay more attention to the aspect of sustainable development in their activities, especially to exhaust emissions. The rational use of resources is also a very important topic. Not only economic aspects but also environmental and social topics are taken into account in company politics, which is characteristic of sustainable development. The main purpose of this article is to show the benefits of SSC. For this purpose, the simulation models showing the supply chain and the sustainable supply chain will be built. The benefits of SSC in economic and environmental aspects will be presented using a computer simulation tool. Using a simulation tool fits in with sustainability; thanks to modeling supply chains in their virtuality and analysis, many resources can be saved in reality (for example, thanks to the consolidation of freight).

scholarly journals ECONOMIC SHOCKS ON PARTNERS’ TRADE; AFRICA AND ASEAN ON CHINA

2021 ◽  
pp. 11-24
Author(s):  
Emmanuel Yamoah Cobbold ◽  
Dan Owusu
Keyword(s):  
Gravity Model ◽  
Bilateral Trade ◽  
Positive Impact ◽  
Trade Openness ◽  
Economic Shocks ◽  
Macroeconomic Shocks ◽  
The World ◽  
Per Capita ◽  
The Impact ◽  
Trade Partners

This research studies the impact of macroeconomic shocks from African and the Association of Southeast Asian Nations (ASEAN) on China’s bilateral trade with them. Data on (GDP) per capita, FDI, inflation, unemployment rates, and trade openness (TO) of China’s African and ASEAN partners were sourced from the World Bank whilst imports and exports data were from the world integrated trade solutions (WITS). It uses the gravity model as a basis and the panel corrected standard errors (PCSE) as well as multivariate regression estimators. The findings reveal that per capita of China’s partners have a strong positive impact on trade with them. Trade openness is reported to increase China’s imports but reduce exports to these partners. Further, an increase in FDI inflows to China’s trade partners leads to an increase in both imports and exports of China. KEYWORDS: Economic shocks, international trade, China, Africa, ASEAN, gravity model

scholarly journals Evaluating the Impact of Air Pollution on China’s Inbound Tourism: A Gravity Model Approach

2020 ◽  
Vol 12 (4) ◽  
pp. 1456 ◽  
Author(s):  
Boyang Xu ◽  
Daxin Dong
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Gravity Model ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
Foreign Countries ◽  
Inbound Tourism ◽  
Clean Air ◽  
Negative Impacts ◽  
The Impact

China’s inbound tourism grew very slowly in recent years. This study modelled China’s inbound tourism based on a gravity model with province-level inbound tourist arrivals data from 13 countries of origin between 2010 and 2016. It was found that air pollution in tourist destinations and origin regions both had significant negative impacts on China’s inbound tourism. On average, if the concentration of particulate matter with a diameter of 2.5 micrometers or less (PM 2.5 ) in China and foreign countries increased by 1 μ g/m 3 , inbound tourist arrivals would decline by approximately 1.7% and 3.8%, respectively. The effect of pollution in destination regions is explained by the importance of clean air as a favored characteristic of tourist attractions. The effect of pollution in tourist origin countries is explained by more awareness of and concern about air pollution by potential tourists if they live in more polluted countries. Further analysis showed that the impact of air pollution in destination regions was larger for tourists coming from more polluted and Asian countries, and visiting less polluted and more popular destinations. This study has a clear policy implication: improving air quality can be considered as a straightforward and effective way to promote inbound tourism in China. If air quality in China can be substantially improved in the future, inbound tourist arrivals have the potential to rise by at least tens of millions of person-times.

Influence of Russian Sanctions on Agricultural Trade between Russia and the European Union

2020 ◽  
Vol 23 (1) ◽  
pp. 13-26
Author(s):  
Stanislava Kontsevaya ◽  
Luboš Smutka
Keyword(s):  
European Union ◽  
European Country ◽  
Gravity Model ◽  
Regression Models ◽  
Trade Flow ◽  
Agricultural Trade ◽  
The European Union ◽  
Us Dollar ◽  
Classical Gravity ◽  
The Impact

Abstract The European Union is Russia’s largest agricultural trading partner, and this cooperation has a long history. The imposition of sanctions on certain product groups in 2014 significantly affected trading relations. A gravity model helps us to understand and evaluate the characteristics of agricultural trade between countries. The aim of the research is to compare the agricultural trade flow between Russia and the European Union for the period 2000-2017, find some regularity, and estimate the influence of Russian sanctions using regression models for each European country and for particular types of agricultural products. The dataset sample consists of 12,096 observations and 29 countries. The gravity model of the dependence on Russia of imports and exports from each European country takes into account such variables as GDP (US dollar), distance (km) and dummies (a common border, common language, common history and seaport availability). The findings of the research are as follows: the classical gravity model is feasible for imports from Russia to EU countries. Thus, the smaller the distance between countries, the greater the trade flow between them, and the larger the GDP of both countries, the greater the trade flow between them. In addition, the gravity model is feasible not only for countries, but also for the particular group of products. The results of the cluster analysis show the impact of sanctions on each of 24 groups of products imported into Russia (not just those products that have been under Russian sanctions). It is possible to say that the impact of sanctions is deeper than previously thought.

Determinants of bilateral trade between China and Africa: a gravity model approach

2020 ◽  
Vol 47 (5) ◽  
pp. 1015-1038
Author(s):  
Zhijie Guan ◽  
Jim Kwee Fat Ip Ping Sheong
Keyword(s):  
Gravity Model ◽  
Bilateral Trade ◽  
Economic Recession ◽  
Trade Agreement ◽  
Trade Agreements ◽  
Negative Effects ◽  
Content Type ◽  
Factors Affecting ◽  
The Impact ◽  
Model Approach

PurposeThe main purpose of this paper is to analyse the different factors affecting Sino-African trade based on the gravity model, and propose some solutions to improve the problems.Design/methodology/approachThe paper is based on an extended gravity model, including trade agreement and recession as explanatory variables. The impacts of trade agreement and economic recession on Sino-African imports and exports are examined.FindingsThe results show that the product of GDP affects African exports to China significantly and negatively, and affects African imports from China positively. Real exchange rate affects African exports to China positively, and affects African imports from China negatively. Population affect African exports to China significantly and positively, and affect African imports from China positively. Recession have negative effects on both African imports from China and exports to China but is only significant for imports. Agreement affects African imports from China and exports to China positively. Our findings confirm the impact of economic recession, and imply that the structure of African product exported to China should be improved, and trade agreements should be reinforced.Originality/valueThis paper contributes and extends the literature on Sino-African trade by improving the traditional gravity model to include the impact of all trade agreements, and their aggregating effects on trade. The paper also seeks to assess the trade impact of economic recession through a dynamic gravity model approach for which there has been no research done to our knowledge. In this regard, it provides new understanding of the trade pattern between China and Africa, and ways in improving the Sino-African bilateral trade.

The Effects of Cultural Differences on Bilateral Trade Patterns

2016 ◽  
Vol 16 (4) ◽  
pp. 637-668
Author(s):  
Raymond J. MacDermott ◽  
Dekuwmini Mornah
Keyword(s):  
Cultural Differences ◽  
Gravity Model ◽  
Bilateral Trade ◽  
Trade Patterns ◽  
Euclidian Distance ◽  
Novel Approach ◽  
Functional Forms ◽  
Different Dimensions ◽  
The Impact ◽  
Aggregate Measure

We argue that using the aggregate of the Euclidian distance of different dimensions of culture to measure the impact of culture on bilateral trade patterns as is conventional in the literature is flawed. Using recent innovations in gravity model estimations and adopting the GLOBE team dimensions of culture, we confirm that the aggregate measure of culture imposes arbitrary functional forms, wrongly assumes symmetry in the effect of culture on bilateral trade, generalizes the effect of culture on trade and lacks policy relevancy. Our novel approach also allows us to determine which aspects of culture promote trade and which aspects do not.

scholarly journals The effects of China’s cross-border e-commerce on its exports: a comparative analysis of goods and services trade

2021 ◽  
Author(s):  
Zi Hui Yin ◽  
Chang Hwan Choi
Keyword(s):  
Sustainable Development ◽  
Comparative Analysis ◽  
Gravity Model ◽  
Positive Impact ◽  
Trade In Services ◽  
The Sustainable Development ◽  
Goods And Services ◽  
Cross Border ◽  
Belt And Road ◽  
The Impact

AbstractThis study examines the effects of China’s cross-border e-commerce (CBEC) on its goods and services exports to ‘Belt and Road’ (B&R) countries for the period 2000–2018 using a gravity model. We find that CBEC has a greater positive impact on trade in services than on trade in goods, especially after the implementation of the B&R initiative. Furthermore, as the level of CBEC rises, distance tends to have a lower (higher) impact on services (goods) trade, whereas the impact on services (goods) trade increased (decreased) annually. Hence, promoting the sustainable development of CBEC can lead to increased export volumes.

scholarly journals Effect of exchange rate uncertainty on bilateral trade performance in SAARC countries: a gravity model analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Banna Banik ◽  
Chandan Kumar Roy
Keyword(s):  
Exchange Rate ◽  
Panel Data ◽  
Gravity Model ◽  
Bilateral Trade ◽  
Exchange Rate Volatility ◽  
Exchange Rate Uncertainty ◽  
Content Type ◽  
Estimation Techniques ◽  
Trade Performance ◽  
The Impact

PurposeExchange rate uncertainty leads to an indecisive environment for imports and exports that would condense international trade, foreign direct investment, trade earnings, trade volumes, economic growth and welfare. This study aims to examine, empirically, the effect of exchange rate uncertainty on bilateral trade performance, focusing on eight SAARC member economies using the popular modified gravity model of trade.Design/methodology/approachThe paper includes eight SAARC members – Afghanistan, Bangladesh, Bhutan, Maldives, Nepal, Pakistan and Sri Lanka panel data set over the period 2005–2018. The authors consider both standardized value (standard deviation) and conditional variance model to determine volatility of exchange rate. Primarily, ordinary least squares, random effects and fixed effects estimation techniques are employed to investigate the impact of exchange rate volatility. Endogeneity and robustness of the findings have been tested using the simultaneity-adjusted model and dynamic panel data two-step system GMM estimation techniques.FindingsEmpirical findings endorse the view that exchange rate volatility lowers trade flows in the SAARC regions. However, this adverse effect of exchange rate uncertainty on trade is pretty small. The negative correlation between exchange rate volatility and bilateral trade remains consistent and significant after controlling of simultaneous causality, autocorrelation, year effects, country-pair heterogeneity and endogeneity irrespective of panel data estimation techniques and different measures of volatility.Originality/valueThe present paper is original work.

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