IDEAS home Printed from https://ideas.repec.org/a/eee/epplan/v110y2025ics0149718925000254.html
   My bibliography  Save this article

Consumer welfare of the state-level franchising processes for multi-channel video programming distributors

Author

Listed:
  • Chun, Heasun
  • Kim, Jin Ki

Abstract

Internet protocol television (IPTV) that telecom carriers convey has recently appeared as a competitor of cable television service in the multi-channel video programming distributor (MVPD) market. A carrier must be granted franchise for multi-channel video programs from the local government in the US, which becomes an issue for delaying service launching, hampering fair competition, and leading to inefficient resource allocation of carriers. Therefore, a state-level franchising process has been suggested as an alternative to shorten the launching period, to improve competition in the MVPD market, and as a result, to increase consumer welfare. In this regard, this study proposes a new approach to estimate the gain in consumer welfare from changing the MVPD franchising mechanism from local-level to state-level. Results show that the state-level process will grant a gain in consumer welfare ranging from $1.8 to $3.1 billion dollars for ten years. This result should encourage regulators and legislators to consider a state-level process as a viable option for improving competition in the MVPD, as this change will increase consumer welfare.

Suggested Citation

  • Chun, Heasun & Kim, Jin Ki, 2025. "Consumer welfare of the state-level franchising processes for multi-channel video programming distributors," Evaluation and Program Planning, Elsevier, vol. 110(C).
  • Handle: RePEc:eee:epplan:v:110:y:2025:i:c:s0149718925000254
    DOI: 10.1016/j.evalprogplan.2025.102558
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0149718925000254
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.evalprogplan.2025.102558?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. Arun Vishwanath & Hao Chen, 2006. "Technology clusters: Using multidimensional scaling to evaluate and structure technology clusters," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(11), pages 1451-1460, September.
    2. Sutirtha Bagchi & Jagadeesh Sivadasan, 2017. "Barriers to Entry and Competitive Behavior: Evidence from Reforms of Cable Franchising Regulations," Journal of Industrial Economics, Wiley Blackwell, vol. 65(3), pages 510-558, September.
    3. Lim, Jinyang & Nam, Changi & Kim, Seongcheol & Rhee, Hongjai & Lee, Euehun & Lee, Hongkyu, 2012. "Forecasting 3G mobile subscription in China: A study based on stochastic frontier analysis and a Bass diffusion model," Telecommunications Policy, Elsevier, vol. 36(10), pages 858-871.
    4. Jyoti Choudrie & Heejin Lee, 2004. "Broadband development in South Korea: institutional and cultural factors," European Journal of Information Systems, Taylor & Francis Journals, vol. 13(2), pages 103-114, June.
    5. James Wade, 1995. "Dynamics of organizational communities and technological bandwagons: An empirical investigation of community evolution in the microprocessor market," Strategic Management Journal, Wiley Blackwell, vol. 16(S1), pages 111-133.
    6. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    7. Stier, Sebastian, 2017. "Internet diffusion and regime type: Temporal patterns in technology adoption," Telecommunications Policy, Elsevier, vol. 41(1), pages 25-34.
    8. Waterman, David & Sherman, Ryland & Wook Ji, Sung, 2013. "The economics of online television: Industry development, aggregation, and “TV Everywhere”," Telecommunications Policy, Elsevier, vol. 37(9), pages 725-736.
    9. Hubbard, Susan M. & Huang, Judy Y. & Mulvey, Kevin P., 2003. "Application of diffusion of innovations theory to the TIPs evaluation project results and beyond," Evaluation and Program Planning, Elsevier, vol. 26(1), pages 99-107, February.
    10. Jerry A. Hausman, 1997. "Valuing the Effect of Regulation on New Services in Telecommunications," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 28(1997 Micr), pages 1-54.
    11. Hubbard, Susan M. & Hayashi, Susan W., 2003. "Use of diffusion of innovations theory to drive a federal agency's program evaluation," Evaluation and Program Planning, Elsevier, vol. 26(1), pages 49-56, February.
    12. Li, Raymond & Shiu, Alice, 2012. "Internet diffusion in China: A dynamic panel data analysis," Telecommunications Policy, Elsevier, vol. 36(10), pages 872-887.
    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. Theoharakis, Vasilis & Vakratsas, Demetrios & Wong, Veronica, 2007. "Market-level information and the diffusion of competing technologies: An exploratory analysis of the LAN industry," Research Policy, Elsevier, vol. 36(5), pages 742-757, June.
    2. Jha, Ashutosh & Saha, Debashis, 2020. "“Forecasting and analysing the characteristics of 3G and 4G mobile broadband diffusion in India: A comparative evaluation of Bass, Norton-Bass, Gompertz, and logistic growth models”," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    3. Bendoly, Elliot, 2007. "Resource enablement modeling: Implications for studying the diffusion of technology," European Journal of Operational Research, Elsevier, vol. 179(2), pages 537-553, June.
    4. Saurabh Panwar & P. K. Kapur & Ompal Singh, 2021. "Predicting diffusion dynamics and launch time strategy for mobile telecommunication services: an empirical analysis," Information Technology and Management, Springer, vol. 22(1), pages 33-51, March.
    5. Guo, Jie & Bouwman, Harry, 2016. "An analytical framework for an m-payment ecosystem: A merchants׳ perspective," Telecommunications Policy, Elsevier, vol. 40(2), pages 147-167.
    6. Lang Liang, 2021. "Novel Optimization-Based Parameter Estimation Method for the Bass Diffusion Model," SAGE Open, , vol. 11(2), pages 21582440211, June.
    7. Neokosmidis, Ioannis & Avaritsiotis, Nikolaos & Ventoura, Zoe & Varoutas, Dimitris, 2015. "Assessment of the gap and (non-)Internet users evolution based on population biology dynamics," Telecommunications Policy, Elsevier, vol. 39(1), pages 14-37.
    8. Xia, Jun, 2017. "China’s telecommunications evolution, institutions, and policy issues on the eve of 5G: A two-decade retrospect and prospect," Telecommunications Policy, Elsevier, vol. 41(10), pages 931-947.
    9. Ashutosh Jha & Debashis Saha, 2022. "Mobile Broadband for Inclusive Connectivity: What Deters the High-Capacity Deployment of 4G-LTE Innovation in India?," Information Systems Frontiers, Springer, vol. 24(4), pages 1305-1329, August.
    10. Oscar Gutiérrez & Francisco Ruiz-Aliseda, 2011. "Real options with unknown-date events," Annals of Finance, Springer, vol. 7(2), pages 171-198, May.
    11. Shari, Babajide Epe & Dioha, Michael O. & Abraham-Dukuma, Magnus C. & Sobanke, Victor O. & Emodi, Nnaemeka V., 2022. "Clean cooking energy transition in Nigeria: Policy implications for Developing countries," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 319-343.
    12. Cambier, Adrien & Chardy, Matthieu & Figueiredo, Rosa & Ouorou, Adam & Poss, Michael, 2022. "Optimizing subscriber migrations for a telecommunication operator in uncertain context," European Journal of Operational Research, Elsevier, vol. 298(1), pages 308-321.
    13. Tiruwork B. Tibebu & Eric Hittinger & Qing Miao & Eric Williams, 2024. "Adoption Model Choice Affects the Optimal Subsidy for Residential Solar," Energies, MDPI, vol. 17(3), pages 1-19, February.
    14. Simon P. Anderson & André de Palma, 2012. "Competition for attention in the Information (overload) Age," RAND Journal of Economics, RAND Corporation, vol. 43(1), pages 1-25, March.
    15. Beomjin Choi & T. S. Raghu & Ajay Vinzé & Kevin J. Dooley, 2019. "Effectiveness of standards consortia: Social network perspectives," Information Systems Frontiers, Springer, vol. 21(2), pages 405-416, April.
    16. Van, Tien Linh Cao & Barthelmes, Lukas & Gnann, Till & Speth, Daniel & Kagerbauer, Martin, 2021. "Addressing the gaps in market diffusion modeling of electrical vehicles: A case study from Germany for the integration of environmental policy measures," Working Papers "Sustainability and Innovation" S05/2021, Fraunhofer Institute for Systems and Innovation Research (ISI).
    17. Ma, Peng, 2021. "Optimal generic and brand advertising efforts in a decentralized supply chain considering customer surplus," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    18. Sergio Currarini & Carmen Marchiori & Alessandro Tavoni, 2016. "Network Economics and the Environment: Insights and Perspectives," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(1), pages 159-189, September.
    19. Klingler, Anna-Lena & Luthander, Rasmus, 2018. "Market diffusion of residential PV and battery systems driven by self-consumption: A comparison of Sweden and Germany," Working Papers "Sustainability and Innovation" S18/2018, Fraunhofer Institute for Systems and Innovation Research (ISI).
    20. Robertson, Alastair & Soopramanien, Didier & Fildes, Robert, 2007. "A segment-based analysis of Internet service adoption among UK households," Technology in Society, Elsevier, vol. 29(3), pages 339-350.

    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:epplan:v:110:y:2025:i:c:s0149718925000254. 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/locate/evalprogplan .

    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.