IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i11p2096-d978671.html
   My bibliography  Save this article

Aging Industries in the Regional Economy: How to Support an Aging China?

Author

Listed:
  • Fan Xu

    (School of Economic and Management, and Center for Industrial Economics, Wuhan University, Wuhan 430072, China)

  • Yongming Huang

    (China Institute of Development Strategy and Planning, and Center for Industrial Economics, Wuhan University, Wuhan 430072, China)

  • Qiang Wang

    (School of Business, Shandong Management University, Jinan 250357, China)

Abstract

This study investigates the law, distribution characteristics, and changing trend of the coordinated development of China’s aging industry and regional economy, as well as the factors which influence the degree of coordination between the aging industry and economic development on the provincial level. In doing so, we construct a comprehensive evaluation index system of the aging industry and regional economy development, introduce an entropy weight coupling model, and measure the coupling and coordinated development level of the two systems using data of 31 selected Chinese provinces (municipalities) from 2009 to 2019. The spatial Dubin model is then used to empirically analyze the influencing factors and spatial effect decomposition of the coordinated development of the aging industry and regional economy. We reach the following main results: (1) China’s aging industry is developing unevenly, with substantial regional differences, but these differences have narrowed in recent years. (2) China’s regional economic disparities have widened. The eastern regions have the highest level of development, while the northeast region’s growth rate of GDP has declined since 2014. (3) The coordinated development of the aging industry and regional economy in one region of China has a positive impact on its neighboring regions, and all Chinese regions exhibits high–high, low–low agglomeration characteristics in terms of their degree of coordination. (4) A variety of socioeconomic and demographic factors affect the coordinated development of the aging industry and regional economy. An important implication of these findings is that, China should improve population structure, population quality, and economic development quality in order to achieve a high-level coordinated development of the aging industry and regional economy.

Suggested Citation

  • Fan Xu & Yongming Huang & Qiang Wang, 2022. "Aging Industries in the Regional Economy: How to Support an Aging China?," Land, MDPI, vol. 11(11), pages 1-23, November.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:11:p:2096-:d:978671
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/11/2096/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/11/2096/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zaijun Li & Xiang Zheng & Suleman Sarwar, 2022. "Spatial Measurements and Influencing Factors of Comprehensive Human Development in China," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
    2. Otsu, Keisuke & Shibayama, Katsuyuki, 2022. "Population aging, government policy and the postwar Japanese economy," Journal of the Japanese and International Economies, Elsevier, vol. 64(C).
    3. Horioka, Charles Yuji, 1999. "Japan's public pension system: What's wrong with it and how to fix it," Japan and the World Economy, Elsevier, vol. 11(2), pages 293-303, April.
    4. Tamai, Toshiki, 2022. "Economic growth, equilibrium welfare, and public goods provision with intergenerational altruism," European Journal of Political Economy, Elsevier, vol. 71(C).
    5. Leff, Nathaniel H, 1969. "Dependency Rates and Savings Rates," American Economic Review, American Economic Association, vol. 59(5), pages 886-896, December.
    6. Anselin, Luc, 1988. "A test for spatial autocorrelation in seemingly unrelated regressions," Economics Letters, Elsevier, vol. 28(4), pages 335-341.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuqiao Zhang & Daqian Liu, 2023. "Assessment of Socio-Economic Adaptability to Ageing in Resource-Based Cities and Its Obstacle Factor," Sustainability, MDPI, vol. 15(17), pages 1-22, August.
    2. Xiaodong Zhang & Haoying Han, 2023. "Spatiotemporal Dynamic Characteristics and Causes of China’s Population Aging from 2000 to 2020," Sustainability, MDPI, vol. 15(9), pages 1-19, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zsofia Barany & Nicolas Coeurdacier & Stéphane Guibaud, 2015. "Fertility, Longevity and International Capital Flows," Working Papers hal-01164462, HAL.
    2. Diane J. Macunovich, 1999. "The fortunes of one's birth: Relative cohort size and the youth labor market in the United States," Journal of Population Economics, Springer;European Society for Population Economics, vol. 12(2), pages 215-272.
    3. Dramane Coulibaly & Blaise Gnimassoun & Valérie Mignon, 2018. "The tale of two international phenomena: International migration and global imbalances," Working Papers 2018-02, CEPII research center.
    4. Wang, Rong & Zameer, Hashim & Feng, Yue & Jiao, Zhilun & Xu, Li & Gedikli, Ayfer, 2019. "Revisiting Chinese resource curse hypothesis based on spatial spillover effect: A fresh evidence," Resources Policy, Elsevier, vol. 64(C).
    5. Jorge M. Uribe, 2023. ""Fiscal crises and climate change"," IREA Working Papers 202303, University of Barcelona, Research Institute of Applied Economics, revised Feb 2023.
    6. Mehri , N. & Messkoub, M. & Kunkel, S., 2019. "Trends, determinants and the implications of population aging in Iran," ISS Working Papers - General Series 646, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    7. Pedro Tonon Zuanazzi & Adelar Fochezatto, 2020. "Population aging and the probability of saving: a life cycle analysis of the Brazilian case [Envelhecimento populacional e probabilidade de poupar: uma análise do ciclo de vida do caso brasileiro]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 30(3), pages 951-968, September.
    8. Ken Chamuva Shawa, 2016. "Drivers Of Private Saving In Sub-Saharan African Countries," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 41(2), pages 77-110, June.
    9. Naeem Akram, 2023. "Household’s Saving Behaviour in Pakistan: A Micro-Data Analysis," Studies in Microeconomics, , vol. 11(2), pages 139-156, August.
    10. Marta Pascual-Sáez & David Cantarero-Prieto & María González-Diego, 2018. "Testing the effect of population ageing on national saving rates: panel data evidence from Europe," Working Papers. Collection B: Regional and sectoral economics 1803, Universidade de Vigo, GEN - Governance and Economics research Network.
    11. Todd Landman & T. Huw Edwards & Tulio Antonio-Cravo & David Kernohan, 2011. "Human Rights: The Effect of Neighbouring Countries," Discussion Paper Series 2011_01, Department of Economics, Loughborough University, revised Sep 2011.
    12. Gudmundsson, Gudmundur S. & Zoega, Gylfi, 2014. "Age structure and the current account," Economics Letters, Elsevier, vol. 123(2), pages 183-186.
    13. Mozumder, Lavlu & Islam, Mohammad Amirul, 2017. "Effects Of Remittances On Human Capital Development: An Empirical Analysis," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 36(01-2), April.
    14. Eduardo Cavallo & Gabriel Sánchez & Patricio Valenzuela, 2018. "Gone with the wind: Demographic transitions and domestic saving," Review of Development Economics, Wiley Blackwell, vol. 22(4), pages 1744-1764, November.
    15. Park, Joon Y. & Shin, Kwanho & Whang, Yoon-Jae, 2010. "A semiparametric cointegrating regression: Investigating the effects of age distributions on consumption and saving," Journal of Econometrics, Elsevier, vol. 157(1), pages 165-178, July.
    16. Zsofia Barany & Nicolas Coeurdacier & Stéphane Guibaud, 2015. "Fertility, Longevity and International Capital Flows," SciencePo Working papers hal-01164462, HAL.
    17. Sahar Amidi & Rezgar Feizi & Thais Nunez Rocha & Isabelle Rabaud, 2022. "Carbon Tax and Emissions Transfer: a Spatial Analysis," Working Papers hal-04638880, HAL.
    18. Brander, James A & Dowrick, Steve, 1994. "The Role of Fertility and Population in Economic Growth: Empirical Results from Aggregate Cross-National Data," Journal of Population Economics, Springer;European Society for Population Economics, vol. 7(1), pages 1-25.
    19. Xiao Shao & Yuanshuai Yang, 2023. "A Study of Population Aging and Urban–Rural Residents’ Consumption Habits from a Spatial Spillover Perspective: Evidence from China," Sustainability, MDPI, vol. 15(23), pages 1-27, November.
    20. T. Paul Schultz, 2004. "Demographic Determinants of Savings: Estimating and Interpreting the Aggregate Association in Asia," Working Papers 901, Economic Growth Center, Yale University.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:11:y:2022:i:11:p:2096-:d:978671. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.