This article uses a network approach and a negative binomial regression model (NBRM) to shed light on the association between Domestic Investment (DI) and Foreign Direct Investment (FDI) in interlinking Chinese cities in a space of flows. The empirical analysis is based on 2743 FDI and 9315 DI projects covering 77 Chinese cities. We address the question of what the association is between DI network measures and city attractiveness for FDI, and if the geographic distance of DI matters. While the physical distance of DI activity is found to have a negative association with FDI, city functional proximity and structural position in the DI network are found to have a positive association. We conclude that strategic policies to stimulate cross-territorial economic ties between Chinese cities should be advantageous in attracting inward foreign investment.

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With the rapid development of industry, the inconsistency between the rapid increase in energy consumption and the shortage of resources is becoming significant. Friction is one of the main causes of energy consumption; thus, the emergence of superlubricity technology can substantially improve the energy efficiency in motion systems. In this study, an efficient method to control superlubricity at the atomic-scale is proposed. The method employs vibrational excitation, which is called vibration induced superlubricity (VIS). The VIS can be easily and steadily achieved by employing external vibration in three directions. The simple method does not depend on the type of sample and conductivity. Dependence of oscillation amplitude, frequency, scanning speed, and normal force (FN)on friction were investigated. Experimental and simulated explorations verified the practical approach for reducing energy dissipation and achieving superlubricity at the atomic-scale.

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