Examining the Asymmetric Nexus between Energy Consumption, Technological Innovation, and Economic Growth; Does Energy Consumption and Technology Boost Economic Development?

This study aims to explore the connection between the potential effects of energy consumption and technological innovation on economic growth in China from 1980 to 2018. The Non-Linear Autoregressive Distributive Lag (NARDL) econometric approach reveals an asymmetric connection between technological innovation, energy consumption, and economic growth in China from 1980 to 2018. The empirical results also reveal that a 1% decrease in energy consumption would imperatively decline economic growth by 12.5%. Moreover, a 1% upsurge in trademark applications improves economic growth by 8.2%. For the case of China, this study reveals that a large portion of the energy was used by families, which is regarded as a non-contributing element to the economy of China. This study suggests that the promotion and production of energy-efficient processes and products is necessary in order to make a more significant step toward sustainable development. The empirical findings also suggest that the Chinese government should regulate suitable policies aimed at promoting energy efficiency and the control of inefficient energy uses.

Asymmetric Dynamics of Oil Price and Environmental Degradation: Evidence from Pakistan

The main objective of the study is to explore asymmetric impact of oil price on environmental degradation in Pakistan over the period 1975-2018. The study employs the nonlinear autoregressive distributive lag (NARDL) method to check the asymmetric connection of oil price with carbon dioxide (CO2) emissions which represents environmental degradation along with gross capital formation, energy consumption, foreign direct investment and population. The NARDL result expresses that there is different effect of oil price as we break it into positive and negative changes, and decrease in oil price has a greater effect on environmental degradation in Pakistan. The other variables, FDI and energy consumption and population, have a positive and significant effect on CO2 emission. The study provides the policies for policymakers and government officials after uncovering the asymmetric relationship between oil and other variables with an environment that would be helpful in policymaking for Pakistan.

Risk Evaluation of Debris Flow Hazard Based on Asymmetric Connection Cloud Model

Risk assessment of debris flow is a complex problem involving various uncertainty factors. Herein, a novel asymmetric cloud model coupled with connection number was described here to take into account the fuzziness and conversion situation of classification boundary and interval nature of evaluation indicators for risk assessment of debris flow hazard. In the model, according to the classification standard, the interval lengths of each indicator were first specified to determine the digital characteristic of connection cloud at different levels. Then the asymmetric connection clouds in finite intervals were simulated to analyze the certainty degree of measured indicator to each evaluation standard. Next, the integrated certainty degree to each grade was calculated with corresponding indicator weight, and the risk grade of debris flow was determined by the maximum integrated certainty degree. Finally, a case study and comparison with other methods were conducted to confirm the reliability and validity of the proposed model. The result shows that this model overcomes the defect of the conventional cloud model and also converts the infinite interval of indicators distribution into finite interval, which makes the evaluation result more reasonable.

COMPLEX DYNAMICAL BEHAVIORS IN DISCRETE-TIME RECURRENT NEURAL NETWORKS WITH ASYMMETRIC CONNECTION MATRIX

This paper investigates the discrete-time recurrent neural networks and aims to extend the previous works with symmetric connection matrix to the asymmetric connection matrix. We provide the sufficient conditions of existence for asymptotical stability of fixed point, flip and fold bifurcations, Marotto's chaos. Besides, we state the conditions of existence for the bounded trapping region including many fixed points, and attracting set contained in bounded region and chaotic set. To demonstrate the theoretical results of the paper, several numerical examples are provided.The theorems in this paper are available more than in the previous works.