IDEAS home Printed from https://ideas.repec.org/a/eee/telpol/v47y2023i7s0308596123000836.html
   My bibliography  Save this article

Multivariate and geospatial analysis of technology utilization in US counties

Author

Listed:
  • Sarkar, Avijit
  • Pick, James B.
  • Rosales, Jessica

Abstract

We examine geographic patterns and socio-economic and social capital correlates of the adoption and utilization of information and communication technologies (ICTs) in 3,108 counties of the United States. Access and use of ICTs are found to vary significantly among counties in metropolitan, micropolitan, and rural parts of the country. Clusters of high, moderate, and low ICT utilization counties are characterized by geodemographic and socio-economic attributes. Regression findings indicate that young dependency ratio, college education, working age population, and race and ethnic variables are major correlates of ICT use. We analyze and explain novel findings on associations of income, ethnicity, and social capital variables with ICT usage in light of the technology-use landscape in the US. Spatial bias and large sample size fallacy issues are addressed and policy recommendations to remediate the digital divide in US counties are provided.

Suggested Citation

  • Sarkar, Avijit & Pick, James B. & Rosales, Jessica, 2023. "Multivariate and geospatial analysis of technology utilization in US counties," Telecommunications Policy, Elsevier, vol. 47(7).
    • Handle: RePEc:eee:telpol:v:47:y:2023:i:7:s0308596123000836
    DOI: 10.1016/j.telpol.2023.102572
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308596123000836
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.telpol.2023.102572?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. Rupasingha, Anil & Goetz, Stephan J. & Freshwater, David, 2006. "The production of social capital in US counties," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 35(1), pages 83-101, February.
    2. Grubesic, Tony H., 2006. "A spatial taxonomy of broadband regions in the United States," Information Economics and Policy, Elsevier, vol. 18(4), pages 423-448, November.
    3. Fairlie, Robert W, 2017. "Have we finally bridged the digital divide? Smart phone and Internet use patterns by race and ethnicity," Santa Cruz Department of Economics, Working Paper Series qt2591v2w7, Department of Economics, UC Santa Cruz.
    4. Quibria, M. G. & Ahmed, Shamsun N. & Tschang, Ted & Reyes-Macasaquit, Mari-Len, 2003. "Digital divide: determinants and policies with special reference to Asia," Journal of Asian Economics, Elsevier, vol. 13(6), pages 811-825, January.
    5. Azari, Rasool & Pick, James B., 2005. "Technology and society: socioeconomic influences on technological sectors for United States counties," International Journal of Information Management, Elsevier, vol. 25(1), pages 21-37.
    6. Pick, James B. & Nishida, Tetsushi, 2015. "Digital divides in the world and its regions: A spatial and multivariate analysis of technological utilization," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 1-17.
    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. Jun Wen & Hadi Hussain & Renai Jiang & Junaid Waheed, 2023. "Overcoming the Digital Divide With ICT Diffusion: Multivariate and Spatial Analysis at China’s Provincial Level," SAGE Open, , vol. 13(1), pages 21582440231, March.
    2. Pick, James B. & Sarkar, Avijit & Johnson, Jeremy, 2015. "United States digital divide: State level analysis of spatial clustering and multivariate determinants of ICT utilization," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 16-32.
    3. Sarkar, Avijit & Pick, James B. & Johnson, Jeremy, 2015. "Africa's digital divide: Geography, policy, and implications," 2015 Regional ITS Conference, Los Angeles 2015 146339, International Telecommunications Society (ITS).
    4. Martínez-Domínguez, Marlen & Mora-Rivera, Jorge, 2020. "Internet adoption and usage patterns in rural Mexico," Technology in Society, Elsevier, vol. 60(C).
    5. Szeles, Monica Răileanu, 2018. "New insights from a multilevel approach to the regional digital divide in the European Union," Telecommunications Policy, Elsevier, vol. 42(6), pages 452-463.
    6. Zhouying Song & Tao Song & Yu Yang & Zhenbo Wang, 2019. "RETRACTED: Spatial–Temporal Characteristics and Determinants of Digital Divide in China: A Multivariate Spatial Analysis," Sustainability, MDPI, vol. 11(17), pages 1, August.
    7. Leon Zolotoy & Don O’Sullivan & Keke Song, 2021. "The Role of Ethical Standards in the Relationship Between Religious Social Norms and M&A Announcement Returns," Journal of Business Ethics, Springer, vol. 170(4), pages 721-742, May.
    8. Soumyananda Dinda, 2014. "Inclusive growth through creation of human and social capital," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 41(10), pages 878-895, October.
    9. Tse-Chuan Yang & Stephen A Matthews, 2015. "Death by Segregation: Does the Dimension of Racial Segregation Matter?," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-26, September.
    10. Atul Gupta & Kristina Minnick, 2022. "Social capital and managerial opportunism: Evidence from option backdating," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(3), pages 579-605, September.
    11. Chen, Yangyang & Duong, Huu Nhan & Goyal, Abhinav & Veeraraghavan, Madhu, 2023. "Social capital and the pricing of initial public offerings," Journal of Empirical Finance, Elsevier, vol. 74(C).
    12. Andrés Rodríguez-Pose & Neil Lee & Cornelius Lipp, 2021. "Golfing with Trump. Social capital, decline, inequality, and the rise of populism in the US," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 14(3), pages 457-481.
    13. Barış Alpaslan & Julide Yildirim, 2020. "The Missing Link: Are Individuals with More Social Capital in Better Health? Evidence from India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(3), pages 811-834, August.
    14. Ventura, Eva & Satorra, Albert, 2015. "A multiple indicator model for panel data: an application to ICT area-level variation," 26th European Regional ITS Conference, Madrid 2015 127191, International Telecommunications Society (ITS).
    15. Melissa P L Chan & Robert S Weinhold & Reuben Thomas & Julia M Gohlke & Christopher J Portier, 2015. "Environmental Predictors of US County Mortality Patterns on a National Basis," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-25, December.
    16. Zadeh, Mohammad Hendijani, 2023. "Stock liquidity and societal trust," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    17. Uyar, Ali & Bani-Mustafa, Ahmed & Nimer, Khalil & Schneider, Friedrich & Hasnaoui, Amir, 2021. "Does innovation capacity reduce tax evasion? Moderating effect of intellectual property rights," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    18. Zhang, Xiaoqun, 2013. "Income disparity and digital divide: The Internet Consumption Model and cross-country empirical research," Telecommunications Policy, Elsevier, vol. 37(6), pages 515-529.
    19. Chahine, Salim & Fang, Yiwei & Hasan, Iftekhar & Mazboudi, Mohamad, 2019. "Entrenchment through corporate social responsibility: Evidence from CEO network centrality," International Review of Financial Analysis, Elsevier, vol. 66(C).
    20. Yun, Na, 2024. "Resources curse via natural resources utilization: Linking digitalization and resources markets for economy perspective," Resources Policy, Elsevier, vol. 90(C).

    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:eee:telpol:v:47:y:2023:i:7:s0308596123000836. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30471/description#description .

    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.