A Study on the Factors Influencing the Consumption Upgrade of Urban and Rural Residents in Chinese Provinces
DOI:
https://doi.org/10.54097/5amdq497Keywords:
Consumption Upgrade, Consumption Structure, Influencing FactorsAbstract
This paper aims to explore the evolution characteristics of the consumption structure and the factors influencing the consumption upgrade among urban and rural residents in Chinese provinces. Based on interprovincial data of urban and rural residents' consumption, the paper analyzes the demand elasticity of eight major types of consumption and examines the impact of urbanization rate and elderly dependency ratio on consumption upgrade. The study finds that the urbanization rate is a key factor in promoting the growth of consumption expenditure. This paper provides empirical evidence for understanding the changes in the consumption structure of urban and rural residents in China and offers references for formulating relevant policies.
Downloads
References
[1] Zhang, J. C., & Zhang, X. (2024). The impact mechanism of service-oriented industrial structure on the consumption upgrade of urban and rural residents. Journal of Business Economics Research, (20), 45-49.
[2] Li, J. J. (2024). The impact of the development level of the distribution industry on the consumption structure gap between urban and rural residents. Journal of Business Economics Research, (18), 64-67.
[3] Deng, X. J., & Liang, Z. C. (2021). The impact of distribution costs on the consumption structure of urban and rural residents from the perspective of consumption upgrade. Journal of Business Economics Research, (5), 42-45.
[4] Wang, C. Q., Li, L., & Xue, H. Y. (2020). The impact of population age structure and basic old-age insurance for urban and rural residents on the consumption rate of rural residents—An empirical analysis based on China's provincial panel data from 2010 to 2017. Journal of Social Security Studies, (3), 85-93.
[5] Ma, X. P. (2021). A study on the impact factors of consumption upgrade in Xi'an under the new development pattern: The role of digital finance. Marketing World, (33), 76-77+180.
[6] Xu, Y. (2019). A study on the influencing factors of consumption structure upgrade of urban residents in the Beijing-Tianjin-Hebei region. Capital University of Economics and Business.
[7] Xu, Y., Cheng, J., & Chen, S. (2020). Neural network model analysis of consumption expenditure prediction of urban and rural residents based on Lasso regression analysis. Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 38(6), 7203-7214. DOI: https://doi.org/10.3233/JIFS-179797
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
