As the Chinese economy enters the stage of new normal, high-quality economic development has become the current priority. Economic development should not be achieved at the cost of environment and resources. Clarifying the interactive relationship between water environment pollution and the quality of economic growth can help realize water environment protection and sustainable economic development. Based on the data of 30 provinces and cities in China, this paper studies the bidirectional mechanism between water environmental pollution and the quality of economic growth with the dynamic simultaneous equations model. The paper concludes that environmental pollution and the quality of regional economy growth have strong hysteretic nature; And that water environmental pollution and the development of regional economy display the relationship of bidirectional feedback. Discharge of pollutants into the water environment can inhibit high-quality development of regional economy. As the intensity of water environmental pollution increases by 1%, the quality of regional economic growth decreases by 0.0230%; Hence as the quality of regional economic growth increases by 1%, the intensity of water environmental pollution increases by 0.148%. Therefore, sustainable economic development should be attached with due significance, by removing the factors of environmental pollution, timely adjusting environmental policies, and promoting harmony between ecological environment and economic growth.
Entering the promotion catalogue is the basis for China’s new energy vehicle (NEV) enterprises to obtain promotion subsidies. Using a multistage difference-in-differences (DID) model with a sample of listed NEV enterprises in China from 2008 to 2017, this paper empirically analyzes the impact of entering the promotion catalogue on the innovation of NEV enterprises. The results indicate that entering the promotion catalogue can significantly promote innovation of NEV enterprises from the perspective of radical innovation, incremental innovation, and external technology introduction of NEV enterprises. In the mediation mechanism examination, this study finds that entering the promotion catalogue promotes innovation in NEV enterprises by increasing corporate profits and easing financing constraints. Based on the conclusions above, this paper recommends to strengthen core technology breakthrough of NEVs, cultivate market demand of NEVs industry, and improve subsidy supervision system of NEVs.
Currently, the use of Cagniard apparent resistivity and phase is still the main method and means to process and interpret controlled-source audio-frequency magnetotelluric (CSAMT) sounding data. The CSAMT data must meet the conditions in the far zone to use the magnetotelluric (MT) sounding inversion interpretation method. The conditions in the far zone are directly related to transceiver distance; Hence, the distance measured by the CSAMT method is directly related to the reliability and credibility of the data. In this study, based on the formation wave and ground wave of the analytical expression for the electric field in a uniform half-space condition, the response laws of the formation wave and the ground wave are analyzed. After rigorous mathematical derivation, the formula for determining the optimal transceiver distance of the CSAMT is obtained, and the steps for using this formula in practical application are given. The actual field application verifies the rationality of the derived formula. This study provides a reference for the design of a CSAMT field source, and effectively guides the determination of CSAMT transceiver distance in the field.
With the growing complexity of embedded VLSI products, traditional System-on-Chip (SoC) are facing severe challenges in the aspects of communicating speed and scalability. Network-on-Chip (NoC) has emerged as a viable alternative. In NoC design, application mapping is one of the most holistic researching dimensions, which maps the cores in the application to the routers in the NoC platform. Application mapping problem usually aims to reduce communication cost and power consumption of the overall system. In this paper, we focus on application mapping onto mesh network, and propose a novel two-phase heuristic algorithm. The first phase attempts to explore the potential searching spaces, while the second phase focuses on exploiting the local optima within the searching basin. To verify the effectiveness of the algorithm, this paper performs a quantitative comparisons between our proposed method and the existing mapping methods under both real application and custom generated application benchmarks.
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