Study on the Countermeasures and Insights of Consumption Structure Optimization under the Strategy of Expanding Domestic Demand— Multi-period and Multi-dimensional Analysis Based on Kunming Panel Data from 2017 to 2024
DOI:
https://doi.org/10.31181/ijes1412025181Keywords:
Strategy of expanding domestic demand, Optimization of consumption structure, Countermeasures and implications, Panel data of Kunming cityAbstract
In 2025, the Chinese Government Work Report proposed accelerating the stimulation of domestic demand, particularly in the area of consumption. This study takes Kunming as a case example, integrating 44 types of consumption and economic indicators, and employs the Pearson correlation coefficient and principal component analysis to construct a multidimensional analytical framework. The findings indicate that demand for non-essential and high-end consumer goods in Kunming remains persistently sluggish; consumption related to the real estate industry chain has declined significantly; there is an excessive reliance on government spending and public services; the transformation of traditional retail formats is lagging; income distribution and savings tendencies are constraining demand; and fluctuations in imports and exports are exacerbating consumption uncertainty. It is recommended that Kunming optimize its consumption supply structure, stabilize the real estate industry chain, enhance endogenous market momentum, accelerate digital transformation, improve the income distribution mechanism, and strengthen the competitiveness of local brands. This research offers valuable insights for China and other countries seeking to promote consumption.
Downloads
References
PwC. (2024, April). China new consumer cities development insight report [Report]. Retrieved January 5, 2025, from https://www.pwccn.com/zh/services/issues-based/esg/china-new-consumer-cities-development-insight-report-apr2024.html
Smith, J. A., & Johnson, L. C. (2023). The changing patterns of consumer behavior in the United States during and after the COVID-19 pandemic. Journal of Consumer Research, 45(3), 567-590.
Doe, J., & Smith, A. (2023). COVID-19 and the transformation of retail: Evidence from the United Kingdom. International Journal of Retail Studies, 29(2), 123-140.
Johnson, M. L., & Lee, S. (2023). The impact of COVID-19 on consumer sentiment and spending intentions in Australia. Australian Journal of Economic Studies, 51(1), 45-62.
Davis, E., & Golez, B. (2023). Consumer spending during the COVID-19 pandemic: Evidence from bank account data. Journal of Financial Economics, 44(4), 789-810.
Bosna, J. (2023). Modeling regional consumption disparities based on adaptive neuro-fuzzy inference system (ANFIS): A European case study. Journal of Decision Analysis and Intelligent Computing, 4(2), 45-58. https://doi.org/10.31181/jdaic04022023b
Chen, L., & Wang, Q. (2024). Heterogeneity analysis of consumption recovery in China's second- and third-tier cities in the post-pandemic era. Journal of Economic Geography, 12(3), 89-104.
Gupta, R., et al. (2023). The impact of digital payment penetration on non-essential consumption in developing countries: Empirical evidence from India. Financial Innovation Research, 7(4), 112-130. https://doi.org/10.1016/j.finno.2023.100112
Zheng, Z., & Ba, D. J. (2024). Measurement and influencing factors of new consumption development levels in China. Journal of Economic Issues Exploration, 10, 102-114.
Wu, C. Y., Hua, B., & Wang, Y. X. (2015). Key influencing factors and forecasting of household consumption in China: A theoretical extension based on the "buffer reserve savings model." Journal of Economic Issues Exploration, 8, 22-28.
Pandey, B., Reba, M., Joshi, P. K., & Seto, K. C. (2020). Urbanization and food consumption in India. Scientific Reports, 10(1), 17241. https://doi.org/10.1038/s41598-020-74413-1
Charles, M., & Lundy, J. D. (2013). The local Joneses: Household consumption and income inequality in large metropolitan areas. Research in Social Stratification and Mobility, 34, 14-29.
Maity, S., & Majumder, A. (2023). A study on the correlation between financial inclusion index and household consumption resilience in G20 countries. Review of International Development Economics, 18(1), 77-95. https://doi.org/10.31181/jdaic18012023m
Tanaka, K. (2024). Nonlinear effects of climatic variables on urban consumption behavior in Southeast Asia: A machine learning-based quantile regression approach. Journal of Environmental Economics, 31(2), 205-220.
Zhang, Y., et al. (2023). Spillover effects of new energy vehicle subsidy policies on household durable goods upgrading. Journal of Policy Modeling, 15(4), 55-73.
Wu, J. L. (2022). The impact of differentiated fiscal subsidies and tax reductions on consumption upgrading. Economic Research Journal, 5, 45-58.
Zhang, J., Li, H., & Wang, T. (2024). Marginal effects of middle-income group size on consumption upgrading. Economic Perspectives, 40(3), 23-35.
International Monetary Fund. (2022). The impact of cross-border e-commerce platforms on consumer markets in developing countries (Working Paper No. WP/22/123). https://www.imf.org/
United Nations Development Programme. (2023). Empirical study on carbon credit-consumption voucher linkage mechanisms to promote green consumption. https://www.undp.org/
Lee, H., & Kim, S. (2024). Optimization of dynamic coupon distribution strategy based on reinforcement learning: A case study of Seoul, South Korea. *Artificial Intelligence and Economic Decision-Making, 6*(1), 30-45. https://doi.org/10.31181/jdaic06012024l
Rossi, M., et al. (2023). Cross-national comparison of sustainable consumption incentive policies in the EU: Implementation effects of carbon footprint labeling systems. Sustainable Economy Research, 9(3), 144-160.
Nguyen, T. (2024). The impact of cross-border e-commerce and local supply chain coordination on consumption upgrading: Empirical evidence from Vietnam. Global Value Chain Research, 5(2), 88-105.
Almeida, P. (2023). Construction of a consumption sentiment index based on social media and its policy applications. Big Data & Society, 11(4), 201-218. https://doi.org/10.1016/j.bds.2023.100201
Wang, X., & Liu, Z. (2024). The impact of community group buying models on consumption structure of low-income households: A longitudinal study in fourth-tier cities in China. Journal of Retailing and Consumer Services, 32, 102345.
Ito, A. (2024). A causal inference framework for consumption policy evaluation: Cross-national counterfactual analysis based on synthetic control method. Journal of Policy Evaluation, 17(2), 155-173.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Qianyu Li (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.