8 results on '"Youjin, Liu"'
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2. A study on agricultural investment along the Belt and Road
- Author
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Jiajun Tian and Youjin Liu
- Subjects
“Belt and Road” ,grain industry ,investment ,empirical study ,sustainability ,Nutrition. Foods and food supply ,TX341-641 ,Food processing and manufacture ,TP368-456 - Abstract
On the basis of the theories of overseas foreign direct investment (OFDI) and New Economic Geography, the factors influencing the grain industry investment in the countries along the Belt and Road (herein after referred to as the “B&R countries”) were discussed, and the impacts of such investment in terms of the bilateral economic distance, institutional environments and the farmland resource levels of host countries were analyzed in depth in this study, thus expanding the theoretical analysis framework of OFDI. Empirically, the dependence on China's overseas investment was applied to measure the bilateral economic distance, and these two variables were incorporated into the empirical model along with the location characteristics of the institutional environments of host countries. The Zero-inflated Poisson Model was applied to analyze China and the B&R countries. A conclusion derived is as follows: the farmland resources of the B&R countries have a positive impact on China's overseas farmland investment, and the location characteristics of the B&R countries vary greatly. China should confer great importance to regional comparative advantages, conduct differentiated cooperation in farmland investment, strengthen the conservation of water and land resources and safeguard of farmers' livelihoods in the less developed regions, and guarantee the grain security in developing countries, while valuing the distribution and sales of agricultural products in developed regions and greatly enhance the ties between enterprises and local markets to ensure the sustainable development of grain industry investment projects in the B&R countries.
- Published
- 2022
- Full Text
- View/download PDF
3. Hybrid Particle Swarm Optimization Algorithm Based on the Theory of Reinforcement Learning in Psychology
- Author
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Wenya Huang, Youjin Liu, and Xizheng Zhang
- Subjects
particle swarm algorithm ,psychological enhancement theory ,adaptive ,mutation ,Systems engineering ,TA168 ,Technology (General) ,T1-995 - Abstract
To more effectively solve the complex optimization problems that exist in nonlinear, high-dimensional, large-sample and complex systems, many intelligent optimization methods have been proposed. Among these algorithms, the particle swarm optimization (PSO) algorithm has attracted scholars’ attention. However, the traditional PSO can easily become an individual optimal solution, leading to the transition of the optimization process from global exploration to local development. To solve this problem, in this paper, we propose a Hybrid Reinforcement Learning Particle Swarm Algorithm (HRLPSO) based on the theory of reinforcement learning in psychology. First, we used the reinforcement learning strategy to optimize the initial population in the population initialization stage; then, chaotic adaptive weights and adaptive learning factors were used to balance the global exploration and local development process, and the individual optimal solution and the global optimal solution were obtained using dimension learning. Finally, the improved reinforcement learning strategy and mutation strategy were applied to the traditional PSO to improve the quality of the individual optimal solution and the global optimal solution. The HRLPSO algorithm was tested by optimizing the solution of 12 benchmarks as well as the CEC2013 test suite, and the results show it can balance the individual learning ability and social learning ability, verifying its effectiveness.
- Published
- 2023
- Full Text
- View/download PDF
4. Investment Suitability Assessment Based on B&R Symbiotic System Theory: Location Choice of China’s OFDI
- Author
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Yanzhao Yin and Youjin Liu
- Subjects
OFDI ,location choice ,B&R ,symbiotic system ,investment suitability ,TOPSIS ,Systems engineering ,TA168 ,Technology (General) ,T1-995 - Abstract
Achieving mutualistic symbiosis is the core concept of China’s promotion of the Belt and Road Initiative (BRI). Therefore, how to guide China’s OFDI location decision-making in the Belt and Road (B&R) countries from the perspective of mutualistic symbiosis is of great significance. This paper constructs the B&R symbiotic system based on symbiotic system theory, to establish the investment suitability index from three dimensions: stability, coordination, and sustainability, then uses the entropy weight, TOPSIS, and GIS method to assess and analyze the investment suitability index of 60 major countries in B&R’s six economic corridors. The findings indicate that Russia, India, Indonesia, Thailand, Singapore, Vietnam, and Malaysia have the highest investment suitability and are China’s most favorable OFDI destinations for achieving mutualistic symbiosis. Conversely, Syria, Lebanon, Jordon, and Yemen have the lowest investment suitability. Based on these results, policymakers can formulate more scientific and reasonable policies to guide China’s OFDI to make location decisions in B&R countries with high investment suitability, so as to promote the high-quality and sustainable development of B&R construction. However, due to data acquisition and technical reasons, this study does not analyze investment suitability from time trends. The analysis of investment suitability from more B&R countries or different types of industries is an important direction for further research in the future.
- Published
- 2022
- Full Text
- View/download PDF
5. How Real Estate Shocks Affect Manufacturing Value Chain Upgrading: Evidence from China
- Author
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Yanzhao Yin, Xiaoming Zeng, Shihu Zhong, and Youjin Liu
- Subjects
real estate shocks ,value chain ,industrial upgrading ,innovation input ,resource misallocation ,Building construction ,TH1-9745 - Abstract
Contrary to the conventional viewpoint that “high housing price promotes industrial upgrading”, this study finds that increasingly high housing prices are a pivotal factor that obstructs industrial value chain upgrading. Based on city-level data, micro-level data for Chinese industrial enterprises, and data for listed Chinese enterprises, this study examines the impacts of urban housing prices on value chain upgrading. We find that soaring housing prices in China since 2004 stunted industrial value chain upgrading, as indicated by the value-added rate. When housing prices increase by 100%, the enterprise value-added rate decreases by 12.4%. Intermediary mechanism analysis shows that housing price increases lead to innovation input suppression effects and resource misallocation effects, which in turn obstruct industrial value chain upgrading. Further analysis demonstrates that the impacts of housing price increases on industrial value chain upgrading, presenting an inverted-U shape, are varied in terms of time and region. Enterprises’ value chain upgrading also showcases different degrees of sensitivity to housing price increases, due to their respective features. The conclusions of this study carry significant policy implications for the sound development of the real estate market and industrial upgrading in China, as well as in developing countries at large.
- Published
- 2022
- Full Text
- View/download PDF
6. What leads to pollution burden shifting among the Belt and Road countries? Evidence from 61 B&R countries
- Author
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Yingbin Zhang, Xiang Cai, Youjin Liu, Zhengli Xu, Junmei Gao, and Sohail Ahmad Javeed
- Subjects
Economics and Econometrics ,Geography, Planning and Development ,Management, Monitoring, Policy and Law - Published
- 2022
7. Relationship between Foreign Direct Investment and China's Industrial Upgrading in the Background of the Belt and Road Initiative: An Empirical Study of the Marine Silk Route Enterprises
- Author
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Zhida Yin, Youjin Liu, and Jiajun Tian
- Subjects
Water resources ,Empirical research ,Ecology ,Economy ,Restructuring ,Business ,Foreign direct investment ,China ,Coastal management ,Earth-Surface Processes ,Water Science and Technology ,Vector autoregression - Abstract
Tian, J.J.; Liu, Y.J., and Yin, Z.D., 2020. Relationship between coastal foreign direct investment & industrial upgrading of China under the condition of the Belt and Road initiative. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 695–699. Coconut Creek (Florida), ISSN 0749-0208.At present, the issuance of the relationship between foreign direct investment & the transformation and upgrading of domestic industrial structures has been controversial under the condition of the construction of the “Belt and Road” of China. Based on the data from 2008 to 2018, the VAR model is applied for studying the interrelationship between foreign direct investment in sixty four countries along the “Belt and Road” and the transformation and upgrading of domestic industrial structures according to the experience since China has joined in Word Trade Organization (“WTO”); and it is found that in this kind of countries, the direct investment is without any statistical significance on the industrial upgrading of China so far; nevertheless, the industrial restructuring of China still in turn accelerates the going out intention of companies and promotes direct investment in this kind of countries.
- Published
- 2020
8. A Method of Hybrid Multiple Attributes Group Decision Making with Risk Considering Decision-Makers' Confidence
- Author
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Xingzi Wen, Youjin Liu, and Junlin Ouyang
- Subjects
Weighted sum model ,business.industry ,Applied Mathematics ,Rank (computer programming) ,General Engineering ,Confidence ,Decision rule ,computer.software_genre ,Machine learning ,Intuitionistic fuzzy set ,Group decision-making ,Computational Mathematics ,Prospect theory ,Projection method ,Multi-attribute group decision-making ,Fuzzy number ,Set theory ,Artificial intelligence ,Data mining ,Tuple ,business ,computer ,Mathematics - Abstract
With respect to different confidence on evaluation result from different decision-makers to the hybrid multi-attribute with risk, an approach to group decision- making based on prospect theory and projection theory is proposed. Firstly, a tuple is established to record the evaluation result and the hybrid decision information. Then the element of the tuple is changed into a single triangular fuzzy number by the transformation rule. Considering the confidence degree from single decision-maker to evaluation information, the group decision information is aggregated and the weights of attributes are calculated based on the intuitionistic fuzzy set theory. The improved projection method and prospect theory are proposed to rank the alternatives respectively. Finally, an application case is given to demonstrate the effectiveness and feasibility of the proposed approach.
- Published
- 2015
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