Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 7, Issue 2


Published
on

July 15, 2022


Pages

1435-1444


DOI

Article

Semiparametric Spatial Econometric Analysis of Household Consumption Based on Ordinary Linear Regression Model


Authors

Siyi Fu Affiliation:
Employment and Entrepreneurship Center, Gingko College of Hospitality Managements, Chengdu University of Information Technology, Chengdu, China
and Hashem Almuslamani Affiliation:
College of Administrative Sciences, Applied Science University, Bahrain


Abstract

In order to solve the problem that the image processing time is too long in the use of the original college education information power method.Therefore, the design of the fractional differential equation of higher education information power method. According to the information source, a combination of various methods is set to complete the data collection.Compared with the content of fractional differential equation, the fractional differential equation is selected to complete the image information processing. Develop the processing process and select the appropriate equipment to complete the image processing.Set up experimental equipment, select experimental samples to obtain experimental results. Compared with the original method, the image processing time of this method is significantly shorter than that of the original method.Therefore, this method is more efficient for image processing and has a more obvious effect on the informatization of university education.


Keywords

Consumption effect, consumption heterogeneity, consumption upgrade, regional imbalance, 62M30


Citation

Fu, S. & Almuslamani, H. (2022). Semiparametric spatial econometric analysis of household consumption based on ordinary linear regression model. Applied Mathematics and Nonlinear Sciences, 7(2), 1435–1444. https://doi.org/10.2478/amns.2022.2.0132

Published by: Engineering Journals

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