The evolution of CO2 emissions in international trade for major economies: a perspective from the global supply chain

2016 ◽  
Vol 22 (8) ◽  
pp. 1229-1248 ◽  
Author(s):  
Jing-Li Fan ◽  
Qian Wang ◽  
Shiwei Yu ◽  
Yun-Bing Hou ◽  
Yi-Ming Wei
2010 ◽  
Vol 18 (1) ◽  
pp. 39-65 ◽  
Author(s):  
Dahui Li ◽  
Fujun Lai ◽  
Jian Wang

Despite the importance of international trade firms in China’s economic development, there is only limited empirical evidence about how these firms assimilate Internet-based e-business in global supply chain operations. Using the Technology-Organization-Environment framework, this study investigates technological, organizational, and environmental factors which determine e-business assimilation in these firms. Based on survey data collected from 307 international trade firms in the Beijing area, we found that environmental uncertainty was negatively associated with e-business assimilation, while a firm’s internal IT capability, relative advantage of e-business, learning orientation, and inter-organizational dependence were positive determinants of e-business assimilation. The effect of a firm’s ownership type was also significant. Environmental uncertainty was the most important inhibitor, and IT capability and inter-organizational dependence were the most salient enablers of e-business assimilation.


2021 ◽  
Vol 14 (2) ◽  
pp. 40-48
Author(s):  
I. V. Boiko

The significance of the Great Silk Road is interesting not only by its history, but by the knowledge, required for the better understanding of the current economic and political realities as well. The introduction of the new insights into the essence of the Eurasian trade route, its emergence and destruction studied under the projection on the contemporary processes, undermining the global supply chain represents the main idea of the given research. In the article, the Great Silk Road is represented in the logistics framework: generation of the freight flows, peculiarity of their material composition, the pathway trajectory architecture, creation of the necessary infrastructure. The significance of the spatial peculiarity, natural preconditions and advanced technologies for the freight generation, the international trade development and the Eurasian civilization emergence is emphasized. The paper reveals special logistic characteristics of silk as the initial chain in the ancient trade as well as the distinctive characteristics of transportation mode and freight. The political stability plays a significant role in the risk reduction for the freight turnover and for functioning of the international transportation system in general. The endogenous and exogenous reasons for the Great Silk Road breakdown are related with the increasing trade deficit between the East and West, the import substitution policy accepted by the European countries and increasing protectionism in their external trade relations. Exploring the Great Silk Road downfall, the author concludes about the contemporary global supply chain disruption causes, emphasizing the negative impact of the economic and political influence. The US-China trade war destroys the international trade. The COVID-19 pandemic tends the business localization. Ecological threats provide new requirements to the freight flows. The “pull strategy”, practiced by the logistic companies is steadily replacing by the “push strategy”. Moreover, China has been reducing investments into the trans-Eurasian project. That kind of instability could lead to a deep transformation of the international transportation systems as well as the system of the international relations in general. Russia should consider those new realities carefully when scheduling its international division of labour strategy.


Author(s):  
Murat Ozemre ◽  
Ozgur Kabadurmus

As the supply chains become more global, the operations (such as procurement, production, warehousing, sales, and forecasting) must be managed with consideration of the global factors. International trade is one of these factors affecting the global supply chain operations. Estimating the future trade volumes of certain products for specific markets can help companies to adjust their own global supply chain operations and strategies. However, in today's competitive and complex global supply chain environments, making accurate forecasts has become significantly difficult. In this chapter, the authors present a novel big data analytics methodology to accurately forecast international trade volumes between countries for specific products. The methodology uses various open data sources and employs random forest and artificial neural networks. To demonstrate the effectiveness of their proposed methodology, the authors present a case study of forecasting the export volume of refrigerators and freezers from Turkey to United Kingdom. The results showed that the proposed methodology provides effective forecasts.


Author(s):  
Mihaela Gabriela Belu

This paper’s objectives are the following: describing the impact of the COVID 19 crisis on the mechanism of export-import operations; the evolution of Romania’s export-import activities during 2020-2021 and identifying some recommendations meant to help companies fight the sanitary crisis’ effects. The study is based on a theoretical research investigating the impact of the sanitary crisis on the management of an export-import operation. Due to disruptions in global supply chains, the companies operating in the field of international trade had to redefine their operating strategies for the foreign markets. The magnitude of these changes related to the transactional mechanism specific to export-import activities will lead to profound mutations in the global supply chain, with benefits in term of resilience in all phases of the supply chain.


2022 ◽  
pp. 921-944
Author(s):  
Murat Ozemre ◽  
Ozgur Kabadurmus

As the supply chains become more global, the operations (such as procurement, production, warehousing, sales, and forecasting) must be managed with consideration of the global factors. International trade is one of these factors affecting the global supply chain operations. Estimating the future trade volumes of certain products for specific markets can help companies to adjust their own global supply chain operations and strategies. However, in today's competitive and complex global supply chain environments, making accurate forecasts has become significantly difficult. In this chapter, the authors present a novel big data analytics methodology to accurately forecast international trade volumes between countries for specific products. The methodology uses various open data sources and employs random forest and artificial neural networks. To demonstrate the effectiveness of their proposed methodology, the authors present a case study of forecasting the export volume of refrigerators and freezers from Turkey to United Kingdom. The results showed that the proposed methodology provides effective forecasts.


Procedia CIRP ◽  
2015 ◽  
Vol 26 ◽  
pp. 664-669 ◽  
Author(s):  
Tomoyuki Urata ◽  
Tetsuo Yamada ◽  
Norihiro Itsubo ◽  
Masato Inoue

Author(s):  
Ibrahim Assabane, Et. al.

Faced with cumulative competition linked to the globalization of markets, and increasingly strong demands in terms of performance, many firms are led to ask the question of relocating either part or all of their activities. Relocation is a strategic decision which obliges companies to review and reconfigure their operations management methods, in particular those concerning the supply chain. The working objective is to identify the key factors to take into consideration for the design of the supply chain in the context of delocalization. First, we tackle the problem of defining delocalization and the supply chain. Next, we review the literature to define the specifics of the problem of relocation and their impact on international trade, notably the case of Morocco, and thus identify all the factors and constraints to be taken into account when reconfiguring the global supply chain in order to adapt it to the context of the practice of intelligent delocalization.


2021 ◽  
Vol 3 (1) ◽  
pp. 1-18
Author(s):  
Kemily Victoria Luz Santos ◽  
Cristiano Morini

Brazil joined the Authorized Economic Operator (AEO) program, established as a standard by the World Customs Organization, in 2014. In 2018, the change in legislation excluded the category of customs brokers from the certified entities. This research aims to address the reasons and consequences of the exclusion of the certificate to the category of customs brokers. This exclusion took place because many customs brokers filed lawsuits to acquire the certificate, without taking the exam. This analysis comes through survey type research, applied to customs brokers who had the certificate and those who did not, from a Customs broker association from the state of Sao Paulo, in which they described the main impacts caused in their profession. Sao Paulo state is the biggest import and export state and contains the main airports and ports in Brazil. The lack of certification in the customs broker´s chain may ameliorate the security controls in the whole international trade chain. This paper is especially useful because we present results that come up from a service provider in the global supply chain, as well as the effects that took place in Brazil may occur in other countries.


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