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Impact of Industrial Agglomeration on China’s Residents’ Consumption

Author

Listed:
  • Suhua Zhang

    (School of Business and Economics, Universiti Putra Malaysia, Kuala Lumpur 43400, Malaysia)

  • Yasmin Bani

    (School of Business and Economics, Universiti Putra Malaysia, Kuala Lumpur 43400, Malaysia)

  • Aslam Izah Selamat

    (School of Business and Economics, Universiti Putra Malaysia, Kuala Lumpur 43400, Malaysia)

  • Judhiana Abdul Ghani

    (School of Business and Economics, Universiti Putra Malaysia, Kuala Lumpur 43400, Malaysia)

Abstract

Residents’ consumption is a good indicator of people’s livelihoods and one of the motivations driving economic growth. There are many studies on the influencing factors of residents’ consumption; however, few have studied the effects of industrial agglomeration on residents’ consumption, and even fewer have studied the spatial correlation of residents’ consumption. The goal of this paper is to research the impact of China’s manufacturing industrial agglomeration on residents’ consumption from a spatial perspective. Using data on China’s 31 provinces from 2003 to 2019 and the spatial Durbin model, our results show that the manufacturing industrial agglomeration and residents’ consumption present an inverted “U-shape” relationship and that different regions show different effects. Industrial agglomeration in the eastern region is relatively high and has a restraining effect on residents’ consumption, while industrial agglomeration in the central and western regions is at an early stage and promotes residents’ consumption. Therefore, different regions should adopt different industrial agglomeration policies.

Suggested Citation

  • Suhua Zhang & Yasmin Bani & Aslam Izah Selamat & Judhiana Abdul Ghani, 2022. "Impact of Industrial Agglomeration on China’s Residents’ Consumption," Sustainability, MDPI, vol. 14(7), pages 1-18, April.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:4364-:d:788210
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    References listed on IDEAS

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    1. Marco Helbich & Wolfgang Brunauer & Eric Vaz & Peter Nijkamp, 2014. "Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria," Urban Studies, Urban Studies Journal Limited, vol. 51(2), pages 390-411, February.
    2. J. Paul Elhorst & Sandy Fréret, 2009. "Evidence Of Political Yardstick Competition In France Using A Two‐Regime Spatial Durbin Model With Fixed Effects," Journal of Regional Science, Wiley Blackwell, vol. 49(5), pages 931-951, December.
    3. Hongyun Han & Fan Si, 2020. "How Does the Composition of Asset Portfolios Affect Household Consumption: Evidence from China Based on Micro Data," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    4. Lee, Lung-fei & Yu, Jihai, 2014. "Efficient GMM estimation of spatial dynamic panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 180(2), pages 174-197.
    5. Shuju Hu & Wei Song & Chenggu Li & Charlie H. Zhang, 2019. "The Evolution of Industrial Agglomerations and Specialization in the Yangtze River Delta from 1990–2018: An Analysis Based on Firm-Level Big Data," Sustainability, MDPI, vol. 11(20), pages 1-21, October.
    6. Taixing Liu & Beixiao Pan & Zhichao Yin, 2020. "Pandemic, Mobile Payment, and Household Consumption: Micro-Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2378-2389, August.
    7. Anselin, Luc, 1990. "Some robust approaches to testing and estimation in spatial econometrics," Regional Science and Urban Economics, Elsevier, vol. 20(2), pages 141-163, September.
    8. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    9. Li, Jie & Wu, Yu & Xiao, Jing Jian, 2020. "The impact of digital finance on household consumption: Evidence from China," Economic Modelling, Elsevier, vol. 86(C), pages 317-326.
    10. Masahisa Fujita & Jacques‐François Thisse, 2003. "Does Geographical Agglomeration Foster Economic Growth? And Who Gains and Loses from It?," The Japanese Economic Review, Japanese Economic Association, vol. 54(2), pages 121-145, June.
    11. Dong Feng & Jian Li & Xintao Li & Zaisheng Zhang, 2019. "The Effects of Urban Sprawl and Industrial Agglomeration on Environmental Efficiency: Evidence from the Beijing–Tianjin–Hebei Urban Agglomeration," Sustainability, MDPI, vol. 11(11), pages 1-12, May.
    12. Taixing Liu & Beixiao Pan & Zhichao Yin, 2020. "Pandemic, Mobile Payment, and Household Consumption: Micro-Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2378-2389, August.
    13. Yanru Lu & Kai Cao, 2019. "Spatial Analysis of Big Data Industrial Agglomeration and Development in China," Sustainability, MDPI, vol. 11(6), pages 1-22, March.
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