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Articles by Minghui Jiang
Total Records ( 3 ) for Minghui Jiang
  Ping Jiao and Minghui Jiang
  This study employs spatial statistics and spatial econometrics to analyze the co-agglomeration of (FDI) Foreign Direct Investment in producer services and FDI in manufacturing industry of 24 provinces in China during 2004-2011. The results indicate that the distribution of both FDIs presents the feature of spatial co-agglomeration, with a high level co-agglomeration in 5 eastern provinces and a low level co-agglomeration in 7 middle and western provinces. There is collaborative interaction between the agglomeration of FDI in producer services and that of FDI in manufacturing industry, FDI in manufacturing industry in the lagged one period will significantly promote the agglomeration of FDI in producer services in current period while FDI in producer services in the lagged one period will significantly promote the agglomeration of FDI in manufacturing industry in current period. The FDI in manufacturing industry prefers areas with large scale of economy, high level of manufacturing industry and lower labor cost while FDI in producer services prefers areas with large scale of service industry, high level development of manufacturing industry and human capital.
  Ping Jiao and Minghui Jiang
  This study analyzes the location determinants of Foreign Direct Investment (FDI) in producer services from spatial correlation and traditional factors and employs Moran’s I index, Spatial Autoregressive Model (SAR) and Spatial Error Model (SEM) to perform empirical test based on the data of 24 provinces of China in the years of 2004-2011. The results indicate that spatial correlation is an important factor influencing the location choice of FDI in producer services, the distribution of FDI in producer services of China presents the feature of spatial agglomeration and positive spatial correlation, adjacent regions share similar values of FDI and the inflow of FDI in producer services of a certain region is correlated to those of its neighbors. As for the traditional factors, the degree of agglomeration in producer services is the most important among the positively correlated factors and the scale of FDI in manufacturing industry is the second important, followed by the degree of openness, the development level of the manufacturing industry and the condition of human capital, while the inflow of FDI in producer services is negatively correlated to system and policy restraints but the correlation is not significant.
  Shengle Fang , Minghui Jiang and Xiaohong Wang
  In this paper, the problems of determining the global exponential stability and estimating the exponential convergence rate are investigated for a class of neural networks with mixed discrete and distributed time-varying delays. By employing a new Lyapunov–Krasovskii functional, a linear matrix inequality (LMI) approach is exploited to establish sufficient easy-to-test conditions for the neural networks to be globally exponentially stable, which can be readily solved by using the numerically efficient Matlab LMI toolbox. Three numerical examples are provided to demonstrate the effectiveness of the proposed results.
 
 
 
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