The Influencing Factors of Tobacco Trade Flow Between China and RCEP Countries

2021 ◽  
Vol 7 (4) ◽  
pp. 497-506
Author(s):  
Jinghua Jin ◽  
Mingcai Shao

Against the background of the establishment of RCEP, and based on the trade data from 2002 to 2018, this paper studies the current situation of tobacco trade in China, builds a trade gravity model, and analyzes the correlation between China’s tobacco trade flows with its RCEP partners. Different factors include economic, demographic, geographical and tariff factors. According to the results of the research, RCEP member states can take advantage of population and geographical distance to strengthen mutual influence and penetration of tobacco culture, upgrade logistics infrastructure, and make targeted concessions on tobacco tariff rates to promote the development of tobacco trade within the region.

2018 ◽  
Vol 13 (6) ◽  
pp. 1776-1797 ◽  
Author(s):  
Philipp Galkin ◽  
Carlo Andrea Bollino ◽  
Tarek Atalla

Purpose China is a major energy import powerhouse, its trade deals have significant impact on international energy trade and global energy markets. The purpose of this paper is to explore the role of energy in China’s preferential trade agreements (PTAs) and their impact on Chinese imports of oil, gas and coal. Design/methodology/approach An extended trade gravity model framework is applied to explore the dynamics of China’s annualized energy import flows from the 22 economies that have PTAs with it for the period 1995–2015. Findings The effect of PTAs on trade patterns varies across the product groups and agreement clauses. The dominant factor affecting trade flows of coal, crude oil and oil products is the average tariff level. Its impact is less significant for gas imports, which are more affected by policy arrangements represented by a PTA variable. The depth and scope of a PTA do not affect Chinese energy imports patterns. Research limitations/implications This paper is focused on exploring the effect of China’s trade and foreign relations strategies on its energy imports through the prism of its PTAs. Estimating the direct impact of China’s initiatives in the areas of trade, investment, security, culture, etc., on its trade flows of energy products and other product groups using the methodological framework proposed in this study would contribute to better understanding of the issue. Practical implications The findings can assist both China and energy exporting countries that target Chinese market in better understanding the drivers of trade flows of energy products and design their PTA strategies accordingly. Originality/value This study applies the trade gravity model framework to assess the impact of specific components of preferential trade agreements – tariff reduction and depth and scope of agreement – on energy trade flows differentiated by product group.


2020 ◽  
pp. 192-198
Author(s):  
M. S. Kuz’min

The author analyzes the innovation development programs of 11 Russian companies with state participation and state corporations and compares the achieved results with innovation development plans. The results of the analysis show that the existing relationships between the performance indicators of the companies’ innovation activity for 2014–2016 are not considered or reflected in the programs of innovation development until 2020. This study indicates the causes of the current situation and proposes directions for improving the efficiency of innovation development planning.Aim. The study aims to examine the mutual influence of indicators in innovation planning at enterprises.Tasks. The author analyzes the existing innovation development programs of large state-owned companies and the correlation between the performance indicators of innovation activity, assesses the actual results of the implementation of innovation development programs for 2014–2016 and the validity of the planned indicators of innovation development until 2020.Methods. This study uses the methods of systems and correlation-regression analysis.Results. The analysis shows that the actual relationships between the performance indicators of the companies’ innovation activity for 2014–2016 are not considered or reflected in the programs of innovation development until 2020. This study indicates the causes of the current situation and proposes directions for improving the efficiency of innovation development planning. A matrix for determining problem situations in innovation development planning is developed.Conclusions. The actual relationships between the indicators that characterize many aspects of innovation development at various stages of the innovation life cycle are not fully considered in the planning of innovation development. The conducted study confirms a formal approach to estimating the target values of the examined indicators, which disregards the actual relationships between them. The outcome of this can be seen in the programs of innovation development until 2020 developed by corporations. It is possible to make allowance for the actual relationships in the planning of the target values of innovation development indicators by using the methods and tools of dynamic modeling.


Author(s):  
Ольга Сергеевна Чудинова ◽  
Екатерина Николаевна Корнейченко ◽  
Ольга Борисовна Чаганова ◽  
Анастасия Михайловна Ротова

В статье представлены результаты проверки адекватности гравита-ционной модели в условиях глобализации мировой торговли. По статистическим данным для стран СНГ за 2011-2018 годы на основе гравитационной модели исследовано влияние масштаба экономики торговых партнеров и расстояния между странами на объем импорта. The article presents the results of assessing the adequacy of the gravity model in the context of world trade globalization. According to statistics for the CIS countries for 2011-2018 the effect of size of economies and distance between the countries on import volumes is studied on the basis of gravity model.


2021 ◽  
Vol 14 (2) ◽  
pp. 52
Author(s):  
Cristina Di Stefano ◽  
P. Lelio Iapadre ◽  
Ilaria Salvati

This paper aims at investigating whether and how the intensity of trade between a pair of countries changes when they experience improvements in their infrastructural systems. We carry out our analysis considering countries participating in the Belt and Road Initiative (BRI), a project specifically designed to promote infrastructural connectivity and therefore boost trade among the countries involved. Our empirical strategy relies on a particular specification of the gravity model, in which the dependent variable consists in an index of revealed trade preferences, calculated by comparing the actual value of trade flows between two countries with their expected value, proportional to the two countries’ total trade. Such methodology allows us to estimate bilateral trade intensity without resorting to the traditional “size” variables of the gravity model, taking the entire network of multilateral trade into account. We then study the possible impact of an improvement in infrastructure on a ‘gravity-adjusted’ measure of trade preferences, given by the residuals of our first estimations. Our results indicate that bilateral preferences among BRI countries will intensify inasmuch as they succeed in coordinating their infrastructural projects.


Author(s):  
K. Muradov

Traditional trade statistics that originate in customs records is inadequate to measure the complex interdependencies in today’s globalized economy, or what is known as the global value chains. The article focuses on Russia–ASEAN trade. The author applies innovative methods of measuring trade in value added terms in order to capture the unobserved bilateral linkages behind the officially recorded trade flows. First, customs and balance of payments sources of bilateral trade data are briefly reviewed. For user, there are at least two inherent problems in those data: the inconsistencies in “mirror” trade flows and the attribution of the origin of a traded product wholly to the exporting country. This results in large discrepancies between Russian and ASEAN “mirror” trade data and, arguably, their low importance as each other’s trade partners. Next, the author explores new data from inter-country input-output tables that necessarily reconcile bilateral differences and offer greater detail about the national and sectoral origin or destination of traded goods and services. Relevant data are derived from the OECD-WTO TiVA database and are rearranged to obtain various estimates of Russia–ASEAN trade in value added in 2009. The main finding is that sizable amount of the value added of Russian origin is embodied in third countries’ exports to ASEAN members and ASEAN members’ exports to third countries. As a result, the cumulative flow of Russia’s value added to ASEAN members is estimated to be 62% larger than the direct gross exports, whereas for China and South Korea it is, respectively, 21% and 23% smaller. The indirect, unobserved value added flows can be largely explained by the use of Russian energy resources, chemicals and metals as imported inputs in third countries (China, South Korea) and ASEAN members’ own production. The contribution of these inputs is then accumulated along the value chain. Finally, the most important sectoral value chains are visualized for readers’ convenience. So far, it’s apparent that Russia is linked to ASEAN countries through intricate production networks and indirectly contributes to their trade with third countries.


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