IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i12p9755-d1174232.html
   My bibliography  Save this article

Internet Development and Urban–Rural Consumption Inequality: Evidence from Chinese Cities

Author

Listed:
  • Jian Zhu

    (School of Business, Xiangtan University, Xiangtan 411105, China)

  • Zifang Li

    (School of Business, Xiangtan University, Xiangtan 411105, China)

  • Hui Wang

    (School of Public Administration, Xiangtan University, Xiangtan 411105, China)

Abstract

The impact of the digital dividends from Internet development on urban and rural residents is influenced by the existing urban–rural dual structure, resulting in heterogeneous and time-varying impacts on urban–rural consumption inequality. This study aims to investigate the nonlinear effect and mechanism of the Internet development on urban–rural consumption inequality in China. Using panel data from 263 prefecture-level cities between 2016 and 2019, we employ a two-way fixed effect model and a threshold model to examine this relationship. The findings of our study are as follows: (a) Internet development exhibits a U-shaped relationship with urban-rural consumption inequality. This U-shaped relationship is statistically consistent and stable in the whole country and in cities outside the five major urban agglomerations. (b) The level of urbanization acts as a threshold for the relationship between Internet development and urban–rural consumption inequality. (c) The influence of Internet development on urban–rural consumption inequality operates through its impact on income inequality and premature industrial structure. To effectively harness the positive impact of Internet development in reducing urban–rural consumption inequality, several key aspects deserve attention: acknowledging regional disparities and leveraging the Internet’s positive impact on urban–rural consumption inequality, considering the joint effects of Internet and urbanization developments, addressing digital divides among vulnerable groups, and promoting effective integration between the Internet and industry, particularly in manufacturing.

Suggested Citation

  • Jian Zhu & Zifang Li & Hui Wang, 2023. "Internet Development and Urban–Rural Consumption Inequality: Evidence from Chinese Cities," Sustainability, MDPI, vol. 15(12), pages 1-15, June.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9755-:d:1174232
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/12/9755/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/12/9755/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brynjolfsson, Erik, 2013. "Wired for Innovation: How Information Technology Is Reshaping the Economy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262518611, December.
    2. Yongqiang Zhang & Guifang Ma & Yuan Tian & Quanyao Dong, 2023. "Nonlinear Effect of Digital Economy on Urban–Rural Consumption Gap: Evidence from a Dynamic Panel Threshold Analysis," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
    3. Margarida Duarte & Diego Restuccia, 2010. "The Role of the Structural Transformation in Aggregate Productivity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 129-173.
    4. Baltagi, Badi H. & Liu, Long, 2011. "Instrumental variable estimation of a spatial autoregressive panel model with random effects," Economics Letters, Elsevier, vol. 111(2), pages 135-137, May.
    5. Marin Falk & Eva Hagsten, 2015. "E-commerce trends and impacts across Europe," UNCTAD Discussion Papers 220, United Nations Conference on Trade and Development.
    6. Juan Lin & Zhou Yu & Yehua Dennis Wei & Mingfeng Wang, 2017. "Internet Access, Spillover and Regional Development in China," Sustainability, MDPI, vol. 9(6), pages 1-18, June.
    7. Ceccobelli, M. & Gitto, S. & Mancuso, P., 2012. "ICT capital and labour productivity growth: A non-parametric analysis of 14 OECD countries," Telecommunications Policy, Elsevier, vol. 36(4), pages 282-292.
    8. He, Yuan & Li, Ke & Wang, Yipan, 2022. "Crossing the digital divide: The impact of the digital economy on elderly individuals’ consumption upgrade in China," Technology in Society, Elsevier, vol. 71(C).
    9. Gradín, Carlos & Wu, Binbin, 2020. "Income and consumption inequality in China: A comparative approach with India," China Economic Review, Elsevier, vol. 62(C).
    10. Dirk Krueger & Fabrizio Perri, 2006. "Does Income Inequality Lead to Consumption Inequality? Evidence and Theory -super-1," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(1), pages 163-193.
    11. Mark Aguiar & Mark Bils, 2015. "Has Consumption Inequality Mirrored Income Inequality?," American Economic Review, American Economic Association, vol. 105(9), pages 2725-2756, September.
    12. Zhao, Da & Wu, Tianhao & He, Qiwei, 2017. "Consumption inequality and its evolution in urban China," China Economic Review, Elsevier, vol. 46(C), pages 208-228.
    13. B. K. Atrostic & Sang V. Nguyen, 2005. "It and Productivity in U.S. Manufacturing: Do Computer Networks Matter?," Economic Inquiry, Western Economic Association International, vol. 43(3), pages 493-506, July.
    14. Hazwan Haini, 2019. "Internet penetration, human capital and economic growth in the ASEAN economies: evidence from a translog production function," Applied Economics Letters, Taylor & Francis Journals, vol. 26(21), pages 1774-1778, December.
    15. XU, Xiuchuan & SHI, Shengping & HUANG, Qinghua, 2014. "The Chinese Urban-rural Dual Economic Structure Model and Analysis," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 6(01), pages 1-6, January.
    16. Falk, Martin & Hagsten, Eva, 2015. "E-commerce trends and impacts across Europe," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 357-369.
    17. Nathan Nunn & Nancy Qian, 2014. "US Food Aid and Civil Conflict," American Economic Review, American Economic Association, vol. 104(6), pages 1630-1666, June.
    18. Zhou, Xianbo & Sun, Yucheng & Tao, Ying, 2023. "Does Digital Finance Upgrade Trickle-down consumption effect in China?," Economic Modelling, Elsevier, vol. 118(C).
    19. Jennifer T. Lai & Isabel K. M. Yan & Xingjian Yi & Hao Zhang, 2020. "Digital Financial Inclusion and Consumption Smoothing in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(1), pages 64-93, January.
    20. Kirsten Martinus & Thomas J. Sigler, 2018. "Global city clusters: theorizing spatial and non-spatial proximity in inter-urban firm networks," Regional Studies, Taylor & Francis Journals, vol. 52(8), pages 1041-1052, August.
    21. Diandian Chen & Yong Ma, 2022. "Effect of industrial structure on urban–rural income inequality in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 14(3), pages 547-566, February.
    22. Bauer, Johannes M., 2018. "The Internet and income inequality: Socio-economic challenges in a hyperconnected society," Telecommunications Policy, Elsevier, vol. 42(4), pages 333-343.
    23. Naishu Yu & Yanzhe Wang, 2021. "Can Digital Inclusive Finance Narrow the Chinese Urban–Rural Income Gap? The Perspective of the Regional Urban–Rural Income Structure," Sustainability, MDPI, vol. 13(11), pages 1-18, June.
    24. Mora-Rivera, Jorge & García-Mora, Fernando, 2021. "Internet access and poverty reduction: Evidence from rural and urban Mexico," Telecommunications Policy, Elsevier, vol. 45(2).
    25. Jun Zhao & Qingzhe Jiang & Kangyin Dong, 2021. "Income inequality and natural gas consumption in China: Do heterogeneous and threshold effects exist?," Australian Economic Papers, Wiley Blackwell, vol. 60(4), pages 630-650, December.
    Full references (including those not matched with items on IDEAS)

    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. Zhou Jiang & Maoxia Zeng & Mingming Shi, 2023. "E‐commerce and Consumption Inequality in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(5), pages 61-86, September.
    2. Diego Comin & Danial Lashkari & Martí Mestieri, 2021. "Structural Change With Long‐Run Income and Price Effects," Econometrica, Econometric Society, vol. 89(1), pages 311-374, January.
    3. Zhao, Chunkai & Wu, Yaqian & Guo, Jianhao, 2022. "Mobile payment and Chinese rural household consumption," China Economic Review, Elsevier, vol. 71(C).
    4. Le Wen & Krishna P. Paudel & Youhua Chen & Qinying He, 2021. "Urban segregation and consumption inequality: Does hukou conversion matter in China?," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2298-2322, November.
    5. Luo, Sumei & Sun, Yongkun & Zhou, Rui, 2022. "Can fintech innovation promote household consumption? Evidence from China family panel studies," International Review of Financial Analysis, Elsevier, vol. 82(C).
    6. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    7. Grzegorz Szymanski & Robert Stanislawski, 2018. "Research Online - Purchase Offline - A Phenomenon Among The Young Generation In The E-Commerce Sector," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 12(1), pages 185-192.
    8. Clément Bellet, 2017. "Essays on Inequality, Social Preferences and Consumer Behavior," Sciences Po publications info:hdl:2441/vbu6kd1s68o, Sciences Po.
    9. Lichner, Ivan & Lyócsa, Štefan & Výrostová, Eva, 2022. "Nominal and discretionary household income convergence: The effect of a crisis in a small open economy," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 18-31.
    10. Pottier, Antonin, 2022. "Expenditure elasticity and income elasticity of GHG emissions: A survey of literature on household carbon footprint," Ecological Economics, Elsevier, vol. 192(C).
    11. Qingjie Xia & Shi Li & Lina Song, 2017. "Urban Consumption Inequality in China, 1995–2013," Working Papers id:12239, eSocialSciences.
    12. Keshav Dogra & Olga Gorbachev, 2016. "Consumption Volatility, Liquidity Constraints and Household Welfare," Economic Journal, Royal Economic Society, vol. 126(597), pages 2012-2037, November.
    13. Coibion, Olivier & Gorodnichenko, Yuriy & Kudlyak, Marianna & Mondragon, John, 2014. "Does Greater Inequality Lead to More Household Borrowing? New Evidence from Household Data," IZA Discussion Papers 7910, Institute of Labor Economics (IZA).
    14. Vadym Lepetyuk & Christian A. Stoltenberg, 2012. "Reconciling consumption inequality with income inequality," Working Papers. Serie AD 2012-19, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    15. Jonathan Heathcote & Fabrizio Perri & Giovanni Violante & Lichen Zhang, 2023. "More Unequal We Stand? Inequality Dynamics in the United States, 1967–2021," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 50, pages 235-266, October.
    16. Diego Comin & Ana Danieli & Martí Mestieri, 2020. "Income-Driven Labor-Market Polarization," Working Paper Series WP-2020-22, Federal Reserve Bank of Chicago.
    17. Krueger, D. & Mitman, K. & Perri, F., 2016. "Macroeconomics and Household Heterogeneity," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 843-921, Elsevier.
    18. Brant Abbott & Giovanni Gallipoli, 2022. "Permanent‐income inequality," Quantitative Economics, Econometric Society, vol. 13(3), pages 1023-1060, July.
    19. Giacomo De Giorgi & Luca Gambetti, 2012. "Consumption Heterogeneity over the Business Cycle," Working Papers 646, Barcelona School of Economics.
    20. Mariano Gallo & Mario Marinelli, 2020. "Sustainable Mobility: A Review of Possible Actions and Policies," Sustainability, MDPI, vol. 12(18), pages 1-39, September.

    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:jsusta:v:15:y:2023:i:12:p:9755-:d:1174232. 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.