IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-02645-x.html
   My bibliography  Save this article

Breaking the chains of poverty: examining the influence of smartphone usage on multidimensional poverty in rural settings

Author

Listed:
  • Xian Liang

    (Beijing Forestry University)

  • Hui Xiao

    (Beijing Forestry University)

  • Fangmiao Hou

    (Beijing Forestry University)

  • Xuan Guo

    (Jiangxi Agricultural University)

  • Lishan Li

    (Jiangxi Agricultural University)

  • Longjunjiang Huang

    (Zhongnan University of Economics and Law)

Abstract

We analyze the impact of smartphone usage on multidimensional poverty reduction. Utilizing the A-F approach, we compute a multidimensional poverty index based on five dimensions: education, health, income, living standard, and labor force. This index categorizes multidimensional poverty into three levels: Vulnerable Multidimensional Poverty Index (VMPI), General Multidimensional Poverty Index (GMPI), and Extreme Multidimensional Poverty Index (EMPI), following MPI criteria. Furthermore, we investigate the mediating role of social capital in the smartphone-multidimensional poverty relationship through a mediating effects analysis. We used the survey data of 382 sample out-of-poverty rural households in Jiangxi, China, in 2020. Our results indicated that: (1) Education (37.80%), labor force (29.7%), and health (20.40%) were identified as the primary contributors to multidimensional poverty. (2) Increasing deprivation categories correlated with declining multidimensional poverty index, following an inverted U-shaped pattern. (3) Smartphone usage significantly reduced VMPI (57.6%), GMPI (52.6%), and EMPI (5%). (4) Social capital fully mediated EMPI reduction through smartphones (91.67%), and partially mediated VMPI (14.09%) and GMPI (20.84%) reduction. These insights inform targeted policy formulation for rural multidimensional poverty reduction.

Suggested Citation

  • Xian Liang & Hui Xiao & Fangmiao Hou & Xuan Guo & Lishan Li & Longjunjiang Huang, 2024. "Breaking the chains of poverty: examining the influence of smartphone usage on multidimensional poverty in rural settings," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
  • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02645-x
    DOI: 10.1057/s41599-024-02645-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-02645-x
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-024-02645-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sabina Alkire and Selim Jahan, 2018. "The New Global MPI 2018: Aligning with the Sustainable Development Goals," OPHI Working Papers ophiwp121.pdf, Queen Elizabeth House, University of Oxford.
    2. Zhang, Jian & Giles, John & Rozelle, Scott, 2012. "Does it pay to be a cadre? Estimating the returns to being a local official in rural China," Journal of Comparative Economics, Elsevier, vol. 40(3), pages 337-356.
    3. Sabina Alkire, Selim Jahan, 2018. "The New Global MPI 2018: Aligning with the Sustainable Development Goals," OPHI Working Papers 121, Queen Elizabeth House, University of Oxford.
    4. Heidi Kaila & Finn Tarp, 2019. "Can the Internet improve agricultural production? Evidence from Viet Nam," Agricultural Economics, International Association of Agricultural Economists, vol. 50(6), pages 675-691, November.
    5. Foley, Michael W. & Edwards, Bob, 1999. "Is It Time to Disinvest in Social Capital?," Journal of Public Policy, Cambridge University Press, vol. 19(2), pages 141-173, May.
    6. Douglas Massey, 1996. "The age of extremes: Concentrated affluence and poverty in the twenty-first century," Demography, Springer;Population Association of America (PAA), vol. 33(4), pages 395-412, November.
    7. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    8. Uwe Deichmann & Aparajita Goyal & Deepak Mishra, 2016. "Will digital technologies transform agriculture in developing countries?," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 21-33, November.
    9. Long Yang & Haiyang Lu & Sangui Wang & Meng Li, 2021. "Mobile Internet Use and Multidimensional Poverty: Evidence from A Household Survey in Rural China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(3), pages 1065-1086, December.
    10. Jenny C. Aker & Ishita Ghosh & Jenna Burrell, 2016. "The promise (and pitfalls) of ICT for agriculture initiatives," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 35-48, November.
    11. Zhen Liu & Yiming Wei & Qiuming Li & Jing Lan, 2021. "The Mediating Role of Social Capital in Digital Information Technology Poverty Reduction an Empirical Study in Urban and Rural China," Land, MDPI, vol. 10(6), pages 1-21, June.
    12. Yeon-Jin Kim & Hye Min Jang & Youngjo Lee & Donghwan Lee & Dai-Jin Kim, 2018. "Effects of Internet and Smartphone Addictions on Depression and Anxiety Based on Propensity Score Matching Analysis," IJERPH, MDPI, vol. 15(5), pages 1-10, April.
    13. Sabina Alkire & Usha Kanagaratnam & Ricardo Nogales & Nicolai Suppa, 2022. "Revising the Global Multidimensional Poverty Index: Empirical Insights and Robustness," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(S2), pages 347-384, December.
    14. Basu, Anirban & Meltzer, David, 2005. "Implications of spillover effects within the family for medical cost-effectiveness analysis," Journal of Health Economics, Elsevier, vol. 24(4), pages 751-773, July.
    15. Wanglin Ma & Xiaobing Wang, 2020. "Internet Use, Sustainable Agricultural Practices and Rural Incomes: Evidence from China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1087-1112, October.
    16. Mack, Elizabeth A. & Marie-Pierre, Lisa & Redican, Kyle, 2017. "Entrepreneurs’ use of internet and social media applications," Telecommunications Policy, Elsevier, vol. 41(2), pages 120-139.
    17. Buvinic, Mayra & Gupta, Geeta Rao, 1997. "Female-Headed Households and Female-Maintained Families: Are They Worth Targeting to Reduce Poverty in Developing Countries?," Economic Development and Cultural Change, University of Chicago Press, vol. 45(2), pages 259-280, January.
    18. Barbier, Edward B., 2010. "Poverty, development, and environment," Environment and Development Economics, Cambridge University Press, vol. 15(6), pages 635-660, December.
    19. Ma, Wanglin & Renwick, Alan & Nie, Peng & Tang, Jianjun & Cai, Rong, 2018. "Off-farm work, smartphone use and household income: Evidence from rural China," China Economic Review, Elsevier, vol. 52(C), pages 80-94.
    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. Nawab Khan & Ram L. Ray & Hazem S. Kassem & Farhat Ullah Khan & Muhammad Ihtisham & Shemei Zhang, 2022. "Does the Adoption of Mobile Internet Technology Promote Wheat Productivity? Evidence from Rural Farmers," Sustainability, MDPI, vol. 14(13), pages 1-15, June.
    2. Qianqian Chen & Chao Zhang & Ruifa Hu & Shengyang Sun, 2022. "Can Information from the Internet Improve Grain Technical Efficiency? New Evidence from Rice Production in China," Agriculture, MDPI, vol. 12(12), pages 1-16, December.
    3. Thanh‐Tung Nguyen & Trung Thanh Nguyen & Ulrike Grote, 2023. "Internet use and agricultural productivity in rural Vietnam," Review of Development Economics, Wiley Blackwell, vol. 27(3), pages 1309-1326, August.
    4. Fuhong Zhang & Apurbo Sarkar & Hongyu Wang, 2021. "Does Internet and Information Technology Help Farmers to Maximize Profit: A Cross-Sectional Study of Apple Farmers in Shandong, China," Land, MDPI, vol. 10(4), pages 1-18, April.
    5. Fang, Lan & Quan, Yurong & Mao, Hui & Chen, Shaojian, 2022. "The Information Communication Technology and Off-farm Employment of Rural Laborers: An Analysis Based on the Micro Data of China Family Panel Studies," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322088, Agricultural and Applied Economics Association.
    6. Zheng, Hongyun & Ma, Wanglin & Wang, Fang & Li, Gucheng, 2021. "Does internet use improve technical efficiency of banana production in China? Evidence from a selectivity-corrected analysis," Food Policy, Elsevier, vol. 102(C).
    7. Ma, Wanglin & Zheng, Hongyun, 2021. "Impacts of Smartphone Use on Agrochemical Use Among Wheat Farmers in China: A Heterogeneous Analysis," 2021 Conference, August 17-31, 2021, Virtual 314991, International Association of Agricultural Economists.
    8. Wanglin Ma & Hongyun Zheng, 2022. "Heterogeneous impacts of information technology adoption on pesticide and fertiliser expenditures: Evidence from wheat farmers in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(1), pages 72-92, January.
    9. Alkire, Sabina & Oldiges, Christian & Kanagaratnam, Usha, 2021. "Examining multidimensional poverty reduction in India 2005/6–2015/16: Insights and oversights of the headcount ratio," World Development, Elsevier, vol. 142(C).
    10. Min, Shi & Liu, Min & Huang, Jikun, 2020. "Does the application of ICTs facilitate rural economic transformation in China? Empirical evidence from the use of smartphones among farmers," Journal of Asian Economics, Elsevier, vol. 70(C).
    11. Trung Thanh Nguyen & Manh Hung Do & Dil B. Rahut & Viet Hung Nguyen & Panharoth Chhay, 2023. "Female leadership, internet use, and performance of agricultural cooperatives in Vietnam," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(3), pages 877-903, September.
    12. Nicolas Barrantes & Jhonatan Clausen, 2022. "Does Multidimensional Poverty Affect Depression? Evidence from Peru," Progress in Development Studies, , vol. 22(2), pages 107-129, April.
    13. Cho, Wonki Jo, 2022. "How to add apples and oranges: Aggregating performances of different nature," Games and Economic Behavior, Elsevier, vol. 131(C), pages 222-244.
    14. Nguyen, Trung Thanh & Nguyen, Thanh-Tung & Grote, Ulrike, 2022. "Internet use, natural resource extraction and poverty reduction in rural Thailand," Ecological Economics, Elsevier, vol. 196(C).
    15. Yi Cai & Wene Qi & Famin Yi, 2023. "Smartphone use and willingness to adopt digital pest and disease management: Evidence from litchi growers in rural China," Agribusiness, John Wiley & Sons, Ltd., vol. 39(1), pages 131-147, January.
    16. Ssennono, Vincent Fred & Ntayi, Joseph M. & Buyinza, Faisal & Wasswa, Francis & Aarakit, Sylvia Manjeri & Mukiza, Chris Ndatira, 2021. "Energy poverty in Uganda: Evidence from a multidimensional approach," Energy Economics, Elsevier, vol. 101(C).
    17. Sabina Alkire & Fanni Kövesdi & Elina Scheja & Frank Vollmer, 2023. "Moderate Multidimensional Poverty Index: Paving the Way Out of Poverty," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 168(1), pages 409-445, August.
    18. Danyang Li & Daizo Kojima & Laping Wu & Mitsuyoshi Ando, 2024. "Impact of rural households' digital ability on their production efficiency in China," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 139-160, January.
    19. Zhu, Xiaoke & Hu, Ruifa & Zhang, Chao & Shi, Guanming, 2021. "Does Internet use improve technical efficiency? Evidence from apple production in China," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    20. Zaira Najam & Susan Olivia, 2021. "Does the impact of cash transfers differ across poverty measures? Evidence from Pakistan," Working Papers in Economics 21/09, University of Waikato.

    More about this item

    Statistics

    Access and download statistics

    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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02645-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.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.