scholarly journals The Effect of Corruption on International Trade: A Case Study of Indonesian Trade to Nine Countries

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Danang Ibnu Atsir ◽  
Sunaryati Sunaryati
Keyword(s):  
International Trade ◽  
Maximum Likelihood ◽  
Gravity Model ◽  
Bilateral Trade ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Likelihood Method ◽  
Geographical Distance ◽  
Pseudo Maximum Likelihood

Corruption is a form of abuse of ethical authority by public officials, which is divided into two parts: bribery and forced collection. The effect of corruption like bribes and illegal levies is widespread in the public sector. One interesting investigation is the effect of corruption on international trade. Corruption becomes a barrier in international trade, where corruption plays a role in the access of trade goods and services from within and abroad. Using the gravity model, the focus of this research was the effect of corruption on international trade by taking a case study of Indonesia’s bilateral trade with its nine largest export destination countries. Using panel data, analysis tools used in this research were common effect, fixed effect, random effect and poisson pseudo maximum likelihood (PPML). In this research, it was found that geographical distance variable in its fixed units caused the omitted variable so that the error term correlated with independent variables. In order to overcome the problem, poisson pseudo maximum likelihood method was used in performing regression gravity model with linear log form, so the omitted variable issue on the geographical distance can be eliminated. The results of this research concluded that corruption played a role in international trade through bureaucratic mechanisms of trade and investment licensing and the effect of corruption was more detrimental to exporters.Keywords:   Gravity Model, Corruption, International Trade, Poisson Pseudo Maximum Likelihood (PPML).

Softwood lumber trade and trade restrictions: gravity model.

2021 ◽  
pp. 142-173
Author(s):  
Xin-tong Li ◽  
Fatemeh Mokhtarzadeh ◽  
G. Cornelisvan Kooten
Keyword(s):  
Gravity Model ◽  
Bilateral Trade ◽  
Likelihood Method ◽  
Trade Restrictions ◽  
Softwood Lumber ◽  
Trade Model ◽  
Negative Effect ◽  
Bilateral Trade Flows ◽  
Pseudo Maximum Likelihood ◽  
Gravity Trade Model

Abstract A gravity trade model can be used to determine the effects of policy on bilateral trade flows. The gravity model is initially explained and then used to determine the effect that U.S. tariffs have on softwood lumber (SWL) imports from Canada, using information from the 2006 Softwood Lumber Agreement. Quarterly data for seven Canadian and three U.S. regions for the period 2007-2017 are used to estimate a gravity model of SWL trade. The model is subsequently expanded to include Japan and China as separate regions, and then as a combined China-Japan region. The model is estimated using OLS and a Poisson Pseudo-Maximum-Likelihood method for trade quantity and value. Findings indicate that: (1) the imposition of a countervailing and/or anti-dumping duty usually has a negative effect on Canada's physical exports, but not in all cases; (2) the value of softwood lumber trade decreases by 26% on average under a tax/tariff compared with no duties; (3) the tax/tariff has a smaller but still significant impact on Canadian exports when China and Japan are included, as SWL exports are diverted from the U.S.; and, not surprisingly, (4) duties affect the value of lumber exports to a much greater extent than quantity.

Softwood lumber trade and trade restrictions: gravity model.

2021 ◽  
pp. 142-173
Author(s):  
Xin-tong Li ◽  
Fatemeh Mokhtarzadeh ◽  
G. Cornelisvan Kooten
Keyword(s):  
Gravity Model ◽  
Bilateral Trade ◽  
Likelihood Method ◽  
Trade Restrictions ◽  
Softwood Lumber ◽  
Trade Model ◽  
Negative Effect ◽  
Bilateral Trade Flows ◽  
Pseudo Maximum Likelihood ◽  
Gravity Trade Model

Abstract A gravity trade model can be used to determine the effects of policy on bilateral trade flows. The gravity model is initially explained and then used to determine the effect that U.S. tariffs have on softwood lumber (SWL) imports from Canada, using information from the 2006 Softwood Lumber Agreement. Quarterly data for seven Canadian and three U.S. regions for the period 2007-2017 are used to estimate a gravity model of SWL trade. The model is subsequently expanded to include Japan and China as separate regions, and then as a combined China-Japan region. The model is estimated using OLS and a Poisson Pseudo-Maximum-Likelihood method for trade quantity and value. Findings indicate that: (1) the imposition of a countervailing and/or anti-dumping duty usually has a negative effect on Canada's physical exports, but not in all cases; (2) the value of softwood lumber trade decreases by 26% on average under a tax/tariff compared with no duties; (3) the tax/tariff has a smaller but still significant impact on Canadian exports when China and Japan are included, as SWL exports are diverted from the U.S.; and, not surprisingly, (4) duties affect the value of lumber exports to a much greater extent than quantity.

scholarly journals The Gravity of Distance: Evidence from a Trade Embargo

2021 ◽  
Author(s):  
Afnan Al-Malk ◽  
Jean-Francois Maystadt ◽  
Maurizio Zanardi
Keyword(s):  
Saudi Arabia ◽  
Maximum Likelihood ◽  
Gravity Model ◽  
United Arab Emirates ◽  
Bilateral Trade ◽  
Air Transportation ◽  
Time Varying ◽  
Similar Time ◽  
Cross Sectional ◽  
Pseudo Maximum Likelihood

On June 5, 2017, an airspace blockade was imposed on the State of Qatar by four of its neighbors: Saudi Arabia, Bahrain, United Arab Emirates, and Egypt. We study the exogenous increase in air transportation costs with non-blockading countries to examine the effect of increased travel distance on bilateral trade. Based on a gravity model estimated with a Poisson pseudo-maximum likelihood, we find a distance elasticity of trade between -0.3 and -0.5. Our findings revise downwards cross-sectional estimates of the distance elasticity of trade and confirm more recent estimates exploiting similar time-varying shocks to distance.

scholarly journals International trade and endogenous standards: the case of GMO regulations

2012 ◽  
Vol 11 (3) ◽  
pp. 415-437 ◽  
Author(s):  
MAURO VIGANI ◽  
VALENTINA RAIMONDI ◽  
ALESSANDRO OLPER
Keyword(s):  
International Trade ◽  
Gravity Model ◽  
Bilateral Trade ◽  
Composite Index ◽  
Trade Flows ◽  
Agricultural Products ◽  
Approval Process ◽  
Bilateral Trade Flows ◽  
Gmo Regulation ◽  
Bilateral Differences

AbstractThis paper quantifies the effect of GMO regulation on bilateral trade flows of agricultural products. We develop a composite index of GMO regulations and using a gravity model we show that bilateral differences in GMO regulation negatively affect trade flows. This effect is especially driven by labeling, approval process, and traceability. Our results are robust to the endogeneity of GMO standards to trade flows.

scholarly journals Gravity model and Pakistan - China Trade

2021 ◽  
Vol 258 ◽  
pp. 06036
Author(s):  
Alexander Okhotnikov ◽  
Muhammad Imtiaz Subhani ◽  
Shatila Khodor ◽  
Denis Ushakov
Keyword(s):  
International Trade ◽  
Gravity Model ◽  
Bilateral Trade ◽  
Trade Deficit ◽  
Policy Changes ◽  
New Paradigm ◽  
Past Performance ◽  
Explanatory Variables ◽  
China Trade ◽  
Export Volume

Pakistan being an important ally of the war against terror paying huge price of not merely of innocent lives of people but huge monetary losses in many sectors of economy, one lucrative sector is international trade. Pakistan’s export potential has undergone strenuous pressures to perform according to the past performance. There was a need to reveal new export potential and lucrative sectors of economy with recommended policy changes so that new paradigm change in international trade can be initiated. This empirical study carried to meet the objective in which gravity model is used for investigating the bilateral trade between Pakistan and China. This model is being used extensively by the researchers worldwide to make predictions about volume of international trade to suggest the policy changes in international trade management. The findings confirm that the tariff rates significantly and negatively affects the Export Volume from Pakistan to China as t-stats > 1.5 which results the trade deficit to be increased, while the affinity (i.e. bilateral visits of people of Pakistan and China to each other countries, bilateral dialogues between China and Pakistan, Social integrations programs between China and Pakistan etc.) between China and Pakistan and Geography (i.e. the trading countries are both in Asia with the connected borders) significantly and positively affects the Export Volume from Pakistan to China as t-stats > 1.5, thus the trade deficit is reduced due to stated affinity and geography. The large value of F-stats also reports that the relationships of export volume from Pakistan to China with all outlined stated explanatory variables/ predictors (i.e. the gravity model for bilateral trade between Pakistan and China) will remain alive for longer period of time in future.

Financial Development, International Trade, and Stock Market Integration: Evidence in Six Southeastern Asia Countries

2017 ◽  
pp. 5-17 ◽  
Author(s):  
Tram Hoang Thuy Bich Nguyen ◽  
Anh Huynh Lam
Keyword(s):  
International Trade ◽  
Stock Market ◽  
Financial Development ◽  
Market Integration ◽  
Financial Integration ◽  
Bilateral Trade ◽  
Random Effect ◽  
Trade Integration ◽  
Stock Market Integration ◽  
Integration Degree

Measuring the integration degree of the national stock market is popular in the general globalization trend. This paper applies the measurement method of Chaiporn et al. (2016) to consider the Vietnamese stock market, and five other typical Asian economies in the period from 2000 to 2015. The authors’ method has its foundation in the research of Wälti (2011), An and Zhang (2013) and Dasgupta (2010). The paper adopted the fixed effect and random effect models to measure the impacts of financial development, financial integration and international trade integration to national stock market integration. The research findings revealed the positive affect of financial integration and development on the national stock market’s integration with the global stock market in Vietnam and five other countries. In addition the research found international trade integration does not affect the integrating securities market, possibly because the bilateral trade is too small to impact the bilateral stock market’s integration.

Gravity's Rainbow: A dynamic latent space model for the world trade network

2013 ◽  
Vol 1 (1) ◽  
pp. 95-118 ◽  
Author(s):  
MICHAEL D. WARD ◽  
JOHN S. AHLQUIST ◽  
ARTURAS ROZENAS
Keyword(s):  
International Trade ◽  
Gravity Model ◽  
Bilateral Trade ◽  
Directed Graphs ◽  
Gravity Models ◽  
Model Specification ◽  
Trade Data ◽  
Latent Space ◽  
Out Of Sample ◽  
The Usa

AbstractThe gravity model, long the empirical workhorse for modeling international trade, ignores network dependencies in bilateral trade data, instead assuming that dyadic trade is independent, conditional on a hierarchy of covariates over country, time, and dyad. We argue that there are theoretical as well as empirical reasons to expect network dependencies in international trade. Consequently, standard gravity models are empirically inadequate. We combine a gravity model specification with “latent space” networks to develop a dynamic mixture model for real-valued directed graphs. The model simultaneously incorporates network dependencies in both trade incidence and trade volumes. We estimate this model using bilateral trade data from 1990 to 2008. The model substantially outperforms standard accounts in terms of both in- and out-of-sample predictive heuristics. We illustrate the model's usefulness by tracking trading propensities between the USA and China.

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