Trade Openness, Corruption and Factor Abundance: Evidence from a Dynamic Panel

2014 ◽  
Vol 18 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Sugata Marjit ◽  
Biswajit Mandal ◽  
Suryadipta Roy

Author(s):  
Dongfang Hou

AbstractUsing a dynamic panel approach, this article examines the determinants of military expenditures for 29 Asian and Oceanian countries during 1992–2016. A two-step difference-GMM estimator is applied. Both the impact of Chinese and US military expenditure on sample countries’ military budgets are considered. Results show that sample countries do not respond to Chinese military expenditure; however, these countries respond to US military expenditure. Moreover, lagged military expenditure, GDP, population, and trade openness are important determinants of military spending, while wars and regime type are not.



Author(s):  
Giulio Fusco ◽  
Benedetta Coluccia ◽  
Federica De Leo

The problem of food insecurity is growing across the world, including economically developed countries. In Europe, the question is not just about the total supply of foods, but it includes even the accessibility of prices and their nutritional and qualitative adequacy. In this context many countries recognize the importance of trade policies to ensure adequate levels of food security. The aim of this work was to analyze the impact of trade openness on the level of food security in European countries, using a dynamic panel analysis with the generalized method of moments (GMM) approach. We selected two different indicators of food security (average protein supply, average dietary energy supply adequacy) capable of offering information both on the quantity and on the nutritional quality of the food supply. In order to improve the robustness of the empirical results, we developed three different regressions, with three trade openness indicators (trade openness, tariff, globalization) for each food security indicator. The results showed that commercial opening has, on average, a statistically significant net positive impact on the food security of European countries. Additional results indicate that also economic development, together with the importance of the agricultural sector, can improve food security levels.



Food Policy ◽  
2017 ◽  
Vol 69 ◽  
pp. 218-230 ◽  
Author(s):  
Jan Dithmer ◽  
Awudu Abdulai


2016 ◽  
Vol 12 (11) ◽  
pp. 594 ◽  
Author(s):  
Basak Gul Akar

As a measure of development, energy has a priority in economic literature. However, both economic and social costs caused by traditional energy sources have led to question on the importance of these resources. In addition to this, various problems such as pollution and dependence on foreign energy has brought about new researches instead of existing energy sources. Alternative and renewable energy sources, which are named as “clean energy”, are expected to take the place of the old method. However, there are many factors affecting the use of new energy sources. These factors include energy prices, energy production, energy dependence, economic growth, trade openness, and the use of carbon dioxide. Besides, development levels of countries have a significant influence on the degree of interaction between these factors. In the present study, firstly, renewable energy consumption and the determinants of this energy use were discussed in the theoretical context. Consequently, the required empirical tests were applied for Balkan countries - Albania, Bosnia-Herzegovina, Bulgaria, Croatia, Montenegro, Kosovo, Macedonia, Romania, Serbia, Slovenia, Turkey, and Greece. Dynamic panel data method was preferred for analysis. However, this panel covers a period between the years of 1998-2011. According to the results obtained through a dynamic panel data analysis, it was found that there is a negative and statistically significant relationship between economic growth and renewable energy consumption. On the other hand, trade openness and natural gas rents are determined to have a positive effect on renewable energy consumption in the Balkans.



2017 ◽  
Vol 17 (2) ◽  
Author(s):  
Jamilah Idris ◽  
Zulkornain Yusop ◽  
Muzafar Shah Habibullah

Openness to trade has been one of the primary drivers stimulating growth. The goal of this particular study is to investigate the relationship between trade openness and economic growth in 87 selected countries which includes both Organizations for Economic Co-operation and Development (OECD) and developing countries for 1977–2011 periods. We used two measures of trade openness i.e. the ratio of trade openness (TO) typically spoke by exports plus imports in nominal value divided by GDP (nominal) which is commonly used in the literature, and trade openness in real (RO) which is defined as the sum of imports and exports in US$ relative to GDP in purchasing power parity US$ (real GDP). An empirical studywas conducted to determine the causal relationship between trade openness and growth in a panelperspective. We used a dynamic panel data estimation method i.e. the general method of moments (GMM). The empirical results reveal a bidirectional causal relationship for both developing and OECD countries. Our finding is consistent with the endogenous theory that increased openness leads to higher growth, which thus prompts expanded openness.Keywords: Openness; Economic Growth; Dynamic Panel General Method of Moments (GMM).



2014 ◽  
Vol 950 ◽  
pp. 175-180
Author(s):  
Li Ming Hong

This paper employ GMM method introduced in [1] to reevaluate the environment effect of trade liberalization based on the dynamic panel data from Chinese Prefecture City during 1995-2010. We found that trade openness improve the environment quality measured by So2 emissions per capita, emission intensity of so2 and soot while no evidence in Soot emissions per capita. Specifically, even though the effect of import on environment is short-term and unsustainable, the export improve the environment more and more over time. Therefore the environment in China benefit from the trade liberalization regime and export-oriented strategy. In addition, this paper found the evidence of environmental Kuznets Curve and pollution haven hypothesis in some environment index.



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