Showing papers by "Beijing Wuzi University published in 2022"

Research on the Impact of the Level of Investment Facilitation in the Host Country on China’s OFDI—Based on Data from Countries Along the “The Belt and Road”

Abstract: This paper selects 2010–2018 data from 50 countries along the “The Belt and Road” to construct an investment facilitation indicator evaluation system including 5 primary indicators and 20 secondary indicators, the principal component analysis method is used to measure the investment facilitation level of the countries along the “The Belt and Road” and analyze its impact on China’s foreign direct investment. The results showed that: the degree of difference between investment facilitation along the route is significant; the degree of investment facilitation, gross domestic product, population size, foreign trade openness, and common borders have a significant role in promoting China’s OFDI; the cost of distance shows a significant negative effect; the business environment has contributed the most to the growth of China’s OFDI. Based on this, our country should adopt different foreign direct investment strategies for countries with different levels of investment facilitation, leading the construction of logistics and infrastructure in countries along the route, and optimizing the institutional environment and business environment.

An Analysis of Experiential Marketing Strategy—Taking IKEA as an Example

Abstract: The consumer environment is currently facing a huge challenge. It is well established that the individual consumer experience is more effective than traditional marketing when it comes to developing marketing strategies for companies. The target was to decide how to give better advice in response to the representations above. Specifically, this study presents the case of IKEA and analyses IKEA’s marketing strategy in the context of marketing mix and theoretical customer satisfaction theory, which is confirmed by statistical methods. It is demonstrated that IKEA’s experiential marketing is worthwhile in enhancing customer satisfaction.

Research on the Optimization of End-Delivery Mode of Express Enterprises in the Context of COVID-19—Based on the Survey and Analysis of Consumer Satisfaction

Abstract: The COVID-19 epidemic has affected consumers’ choice of end-delivery mode. Based on the questionnaire, this article discusses the satisfaction of four end-delivery modes by using analytic hierarchy process (AHP). It is found that the total weight of intelligent express cabinet is the highest, which can be promoted on a large scale under the conditions of various use and construction. There is not much difference between the total weight of the mobile self-pickup vehicle and the intelligent express cabinet, with great development potential. The total weight of the community property/doorkeeper collection end-delivery mode ranks the third, which has been accepted by numerous consumers, so as to further optimize the service. The community pick-up station model has a low weight and still needs further improvement. In the post-epidemic era, the end-delivery mode of express enterprises should develop towards the trends such as intelligent unmanned delivery and end collaborative delivery.

Game Analysis of Resource Sharing Strategy from the Perspective of Collaborative Innovation

Abstract: Scientific and technological innovation is the key driving force to promote economic and social development, while collaborative innovation is the most important way of innovation and an important part of the national innovation system. Promoting industry-university-research collaborative innovation and promoting the open sharing of scientific and technological innovation resources are the common experience of countries around the world in promoting scientific and technological progress and economic development. From the perspective of collaborative innovation, this paper analyzes the resource sharing strategies of various subjects with the game model, and studies the new scientific proposition of “resource sharing strategy game under the concept of collaborative innovation”. It is helpful to optimize the innovation environment, guide the resource sharing behavior of collaborative innovation subjects, and deepen the economic and social collaborative innovation. Conducive to enterprise transformation and upgrading; It is beneficial to the effective transformation of scientific research achievements of universities and scientific research institutions, so it has a certain research value.

Research on Hedging Effectiveness of Gold Futures at Home and Abroad in Post-epidemic Era

Abstract: The outbreak of COVID-19 in 2020 brought a heavy impact on China’s economy. Then the rampant spread of the epidemic has caused a negative impact on the world’s major economies. As a traditional hedging tool, the price of gold has reached an unprecedented level after the outbreak of the epidemic, which has a certain impact on the normal operation of the entity enterprises in the gold industry. In this paper, we use the least squares regression (OLS) and other three models to evaluate the hedging ratio and efficiency before and after the epidemic, taking May 19, 2016 to September 26, 2018 to build different models as in-sample data, September 27, 2018 toJanuary 23, 2020 (before the epidemic) as out-of-sample data I, and January 24, 2020 to May 21, 2021 (after the outbreak of epidemic) as out-of-sample data II, which produce specific hedging effectiveness of gold futures in international and domestic markets. The empirical results show that hedging in futures market can significantly reduce the price risk of gold, and the hedging efficiency of international gold futures market is higher than that of domestic gold futures market. In a word, in the process of exacerbation of the volatility of gold price in spot market, the hedging efficiency after the outbreak of COVID-19 is lower than that before the outbreak, and hedging efficiency of gold futures in the international market decreased more than that in China. And in terms of hedging models, ECM, BVAR can perform better than OLS. in the domestic market ECM can perform best, then BVAR and OLS worst; In international market, hedging efficiency of OLS and ECM in period I (out-of-sample data I) is higher than that of BVAR, while BVAR in period II (out-of-sample data II) is better than that of ECM and OLS.

Credit Risk Evaluation and Analysis of Financial Entities in Online Supply Chain

Abstract: Against the backdrop of constant impact from new technological revolution and the outbreak of COVID-19, more attention has been paid to solving the difficulties of financing small, medium and micro enterprises, which has facilitated the continuous development of supply chain finance. The online supply chain finance with the advantages of fast financing and easy operation has replaced the traditional supply chain finance with the drawbacks of opaque information and complicated intermediate links, providing a broader platform for the development of domestic large and small enterprises. The risk evaluation of online supply chain financial entities mainly focuses on supplier credit risk and consumer credit risk. This article establishes a comprehensive evaluation method AHP + fuzzy to evaluate the credit risk level of suppliers and uses Logistic regression to predict the credit risk of consumers. It is found that AHP + fuzzy comprehensive evaluation method has obvious advantages for evaluating incomplete and uncertain information indicators, and that Logistic has certain advantages for multi-level and multi-index evaluation. Meanwhile, with JD as an example, the optimization plan is summarized.

Edge Computing Energy-Efficient Resource Scheduling Based on Deep Reinforcement Learning and Imitation Learning

Abstract: Task scheduling is one of the key technologies in edge computing. End devices can significantly improve the quality of service by offloading some latency-sensitive tasks to edge servers, but a large amount of power and compute units are wasted. Therefore, this paper proposes a two-stage task offloading approach to ensure low latency while reducing the energy consumption of edge computing units and cloud computing centers. The mobile edge computing environment contains edge computing nodes as well as cloud computing centers. A two-stage processing mechanism based on deep Q-learning is used to automatically generate optimal long-term scheduling decisions that reduce power consumption while ensuring quality of service. Imitation learning is also used in the reinforcement learning process to reduce the training time of the optimal policy. To evaluate the effectiveness of the model, we use the Shortest job first (SJF) algorithm and the Heterogeneous Earliest Finish Time (HEFT) into as comparison algorithms, comparing the running time and energy consumption as a measure. Our proposed algorithm has 13% more running time but 34% lower average energy consumption compared to other algorithms.

The Trade Effects of the US Tariffs on China (2018–2019): Evidence from Dual Margins Perspective

Abstract: Based on the reality that the US imposed additional tariffs on Chinese products in 2018–2019, this paper probes into the trade effects of the additional tariffs from dual margins perspective, using monthly import data of the US with its 20 top partners in 2017–2019. The results show that the US imports from China have decreased with the imposition of additional tariffs. It is mainly reflected in the decrease of the intensive margin of the tariff-targeted products, that is, the proportion of the US import from China relative to world has decreased. The conclusion is still stable when expanding the sample of the tariff-targeted products and using 2 months lagged tariffs on China. From the perspective of product heterogeneity: the additional tariffs reduce the imports of existing consumer and capital products on the list along the intensive margin, but have no effect on the imports of intermediate products. We also find the US additional tariffs don’t increase its imports from the third-party markets on the tariff-targeted products and from China on the non-tariff-targeted products.

Research on Rubber Futures Price Discovery Function and Guiding Mechanism in China and Japan

Abstract: The price discovery function of futures market is the basis of hedging and risk hedging for spot producers. It is also the key to expand China’s market to the world and enhance China’s power of pricing in the world. In this paper, correlation analysis, stationarity test, VAR model building, Johansen co-integration test, Granger causality test and variance decomposition are respectively used to test the price discovery function of rubber futures and spot in China and Japan from 2014 to 2019 and from 2015 to 2020. And make a comparative analysis of different periods. In rubber futures, there is a guiding relationship between futures price and spot price in the two periods, and the discovery function of futures price is significant, and the influence of futures market price on spot market price is dominant in the two periods. At the same time, based on the above analysis results, this paper puts forward a series of prospects for China’s rubber futures market.

Characteristic Differences between Novices and Experts in Different Shooting Stages

Abstract: Attention is the most important psychological factor affecting shooting performance. The wavelet packet energy analysis method was used to explore the differences in EEG characteristics and brain activity between experts and novices while aiming and shooting in real shooting environments. Results show that the frontal and occipital regions of novices were more active when they were aiming, while the frontal, central, and occipital regions of experts were more active when they were shooting. Overall, the frontal, central, and occipital regions of novices were more active (p < 0.05), whereas for experts, it was the frontal, central, parietal, and occipital regions that were more active (p < 0.05). Brain activity was mainly concentrated in the left hemisphere of the brain for experts, indicating that they began to take action when aiming and had higher neural efficiency. This study can help the selection and training of personnel for typical tasks that require attention by monitoring and analyzing the EEG signals of operators of different skill levels.

Research on the Impact of “The Belt and Road” Logistics Performance on China’s Export of Agricultural Products to Countries Along the Route

Abstract: “The Belt and Road” initiative has enabled China to develop exchanges and cooperation with more countries, and it also provides opportunities for the development of agricultural trade. Based on the data of China’s export of agricultural products to 57 countries along “The Belt and Road” from 1995 to 2019 in the UN Comrade Database, the extended gravity model is used to empirically analyze the impact of logistics performance on China’s agricultural exports to countries along the route. The biggest impact in logistics performance is the ability of tracking and tracing. According to the classification of this variable and its average value, we did a study on different type of countries. The conclusion is that priority should be given to improving the logistics infrastructure quality on the basis of improving the ability of tracking and tracing for countries with a strong ability of tracking and tracing under limited resources. Countries with poor ability of tracking and tracing should give priority to improving the convenience of international shipments on the basis of improving their ability of tracking and tracing to improve China’s agricultural exports.