Research on the Relationship between China’s Import and Export Trade and Confidence Index–Dynamic Analysis based on VAR Model

Author(s):  
Ruiqian Wang
2020 ◽  
Vol 15 (2) ◽  
pp. 73-92
Author(s):  
Fang Ye ◽  
Jaepil Park ◽  
ChunLin Li ◽  
Yixiong He

In the context of the Belt & Road Initiative (BRI), China attaches great importance to tourism diplomacy with the South Pacific Island Countries (SPIC). The study of the relationship between tourism and trade is therefore of great significance for the further development of bilateral political and economic cooperation. This paper selected data on the inbound and outbound tourism, as well as import and export trade, between China and SPIC in the period 1998-2017, and used econometric methods to demonstrate the interconnections. The results show that there is a positive long-term equilibrium relationship between passenger flow and import and export trade of China and SPIC. Under the influence of policies, the interaction between inbound and outbound tourism and import and export trade is characterized by periodic fluctuations. China’s outbound tourism to SPIC plays a stronger role to import trade than to export trade. From the analysis of two sections, major events have a moderating effect on the proportion of SPIC tourists and trade dependence on SPIC, while both of the proportion of Chinese tourists and their trade dependence on China are on the rise, and these two have a pulling effect for each other.


Foods ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1523
Author(s):  
Jisung Jo ◽  
Eon-kyung Lee

Although one of the main goals of supply-chain management is to maximize consumer values, the research to date has mainly focused on the supply side. In the case of the food industry, understanding consumer needs and maximizing its utility are essential. In this study, we analyze consumers’ 12 meta-values (e.g., safety, taste, health, price, environment, etc.), then suggest the strategy of food cold-chain management satisfying consumers’ perception. We focused on consumers from three countries in Asia: Korea, China, and Japan. The survey was conducted with over 1000 consumers in those three countries, and a random parameter logit model was utilized to determine the importance of each food value that could affect consumers’ food choice. Similarities and differences were both found in share of preference of each food value across countries. While safety is one of the top three values in all three countries, naturalness and nutritional value ranked among the top three only in China. To propose the consumer-centric strategy of food cold-chain management, we investigated the relationship between each food value and each node of supply chain based on the big data analysis. It shows that consumers prefer when the entire supply chain is managed where each node is organically connected with each other instead of individual nodes being managed separately. Further, strategies for food cold-chain management should be developed differently by country, incorporating differences of consumers’ preferences on food value. These results would motivate governments and companies related to food cold chain to reconsider their marketing strategies on the import and export food market.


Economies ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 25 ◽  
Author(s):  
Yang Songling ◽  
Muhammad Ishtiaq ◽  
Bui Thi Thanh

In the developing economy, tourism is the most visible and steadiest growing facade. Tourism is considered one of the rapidly increasing elements for economic development from the last two decades. Therefore, the proposed study used vector autoregression (VAR) model, error correction model (ECM), and the Granger causality to check the relationship between the tourism industry and economic growth based on the data of the Beijing municipal bureau of statistics from 1994 to 2015. Gross domestic product (GDP) is used as a replacement variable for the economic growth index, while internal tourism revenue is used as a tourism industry indicator. The study supports the tourism-led growth hypothesis proposed in the existing literature in a different survey of tourism and economic development. The results show that there is a strong relationship in the tourism industry and economic growth in the context of Beijing, and at the same time, tourism creates a more significant increase in long run local real economic accomplishments. The results of the VAR model confirm that in the long run, Beijing’s economic growth is affected by domestic tourism, while the ECM model shows unidirectional results in the short term. Similarly, there is a one-way causal relationship between the tourism industry and economic growth in Beijing, China. The empirical results are in strong support of the concept that tourism causes growth.


2021 ◽  
Vol 14 (3) ◽  
pp. 122
Author(s):  
Maud Korley ◽  
Evangelos Giouvris

Frontier markets have become increasingly investible, providing diversification opportunities; however, there is very little research (with conflicting results) on the relationship between Foreign Exchange (FX) and frontier stock markets. Understanding this relationship is important for both international investor and policymakers. The Markov-switching Vector Auto Regressive (VAR) model is used to examine the relationship between FX and frontier stock markets. There are two distinct regimes in both the frontier stock market and the FX market: a low-volatility and a high-volatility regime. In contrast with emerging markets characterised by “high volatility/low return”, frontier stock markets provide high (positive) returns in the high-volatility regime. The high-volatility regime is less persistent than the low-volatility regime, contrary to conventional wisdom. The Markov Switching VAR model indicates that the relationship between the FX market and the stock market is regime-dependent. Changes in the stock market have a significant impact on the FX market during both normal (calm) and crisis (turbulent) periods. However, the reverse effect is weak or nonexistent. The stock-oriented model is the prevalent model for Sub-Saharan African (SSA) countries. Irrespective of the regime, there is no relationship between the stock market and the FX market in Cote d’Ivoire. Our results are robust in model selection and degree of comovement.


2013 ◽  
Vol 750-752 ◽  
pp. 811-815
Author(s):  
Ya Xi Jiang ◽  
Meng Jiang

Alexander Parkes found the earliest plastic in 1850. American scientist John Wesley Hyatt achieved the first patent of plastic (1970) and inaugurated the first plastics industry (1873) with his brother in the world. From then on, plastics industry all over the world have experienced about 150 years development. Based on the learning from overseas industries, China gradually constructed and cultivated himself plastics industry system that is full of Chinese characteristics. The amount of plastics production, plastics products and plastics machine production as well as plastics consumption in China increased quickly. The value of plastics import and export trade rose year by year. Nowadays, China reaches an advanced level in the world no matter plastics machine production, plastic goods production, plastics consumption, or outlet of plastics machines and products. Plastic industry has be one of the important light manufacturing pillar industries in society and economics development of China.


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