Matches in SemOpenAlex for { <https://semopenalex.org/work/W3147218318> ?p ?o ?g. }
- W3147218318 endingPage "121409" @default.
- W3147218318 startingPage "121409" @default.
- W3147218318 abstract "The UN Broadband Commission has committed to universal broadband by 2030. But can this objective really be affordably delivered? The aim of this paper is to assess universal broadband viability in the developing world, quantifying the relationship between demand-side revenue and supply-side cost. A comprehensive scenario-based simulation model is developed open-source, capable of evaluating the global cost-effectiveness of different 4G and 5G infrastructure strategies. Utilizing remote sensing and demand forecasting, least-cost network designs are developed for eight representative Low and Middle-Income Countries (Malawi, Uganda, Kenya, Senegal, Pakistan, Albania, Peru and Mexico), the results from which form the basis for global aggregation via a new assessment framework. The cost of meeting a minimum ∼10 Mbps per user is estimated at USD 2 trillion using 5G Non-Standalone, approximately 0.67% of annual GDP for the developing world over the next decade. However, by creating a favorable regulatory environment, governments can bring down these costs by almost half – to USD 1.2 trillion (approximately 0.41% of annual GDP) – and avoid the need for public subsidy. Providing governments make judicious choices, adopting fiscal and regulatory regimes conducive to lowering costs, universal broadband may be within reach of most developing countries over the next decade." @default.
- W3147218318 created "2021-04-13" @default.
- W3147218318 creator A5005653164 @default.
- W3147218318 creator A5033644422 @default.
- W3147218318 creator A5063319459 @default.
- W3147218318 creator A5070863075 @default.
- W3147218318 date "2022-03-01" @default.
- W3147218318 modified "2023-10-18" @default.
- W3147218318 title "Policy choices can help keep 4G and 5G universal broadband affordable" @default.
- W3147218318 cites W1560095450 @default.
- W3147218318 cites W1866188872 @default.
- W3147218318 cites W1937315645 @default.
- W3147218318 cites W1978215214 @default.
- W3147218318 cites W1980509335 @default.
- W3147218318 cites W2012437748 @default.
- W3147218318 cites W2050255008 @default.
- W3147218318 cites W2053752471 @default.
- W3147218318 cites W2063529493 @default.
- W3147218318 cites W2063955364 @default.
- W3147218318 cites W2064887664 @default.
- W3147218318 cites W2122221097 @default.
- W3147218318 cites W2162568862 @default.
- W3147218318 cites W2345842246 @default.
- W3147218318 cites W2346929505 @default.
- W3147218318 cites W2414302609 @default.
- W3147218318 cites W2550633646 @default.
- W3147218318 cites W2553747577 @default.
- W3147218318 cites W2574540656 @default.
- W3147218318 cites W2582264034 @default.
- W3147218318 cites W2588565285 @default.
- W3147218318 cites W2621879106 @default.
- W3147218318 cites W2626943426 @default.
- W3147218318 cites W2724552669 @default.
- W3147218318 cites W2728709146 @default.
- W3147218318 cites W2735012982 @default.
- W3147218318 cites W2735584017 @default.
- W3147218318 cites W2754260548 @default.
- W3147218318 cites W2754827931 @default.
- W3147218318 cites W2755239623 @default.
- W3147218318 cites W2790273647 @default.
- W3147218318 cites W2794476565 @default.
- W3147218318 cites W2796555693 @default.
- W3147218318 cites W2807771407 @default.
- W3147218318 cites W2888377719 @default.
- W3147218318 cites W2898127294 @default.
- W3147218318 cites W2907612615 @default.
- W3147218318 cites W2913091928 @default.
- W3147218318 cites W2914661517 @default.
- W3147218318 cites W2917176534 @default.
- W3147218318 cites W2917594943 @default.
- W3147218318 cites W2918214275 @default.
- W3147218318 cites W2932079869 @default.
- W3147218318 cites W2941793217 @default.
- W3147218318 cites W2942105380 @default.
- W3147218318 cites W2948480822 @default.
- W3147218318 cites W2953025828 @default.
- W3147218318 cites W2963996746 @default.
- W3147218318 cites W2970571572 @default.
- W3147218318 cites W2971554078 @default.
- W3147218318 cites W2972177615 @default.
- W3147218318 cites W2975763692 @default.
- W3147218318 cites W2976525203 @default.
- W3147218318 cites W2982436471 @default.
- W3147218318 cites W2992373640 @default.
- W3147218318 cites W3002466663 @default.
- W3147218318 cites W3002792749 @default.
- W3147218318 cites W3009026227 @default.
- W3147218318 cites W3015106609 @default.
- W3147218318 cites W3017419747 @default.
- W3147218318 cites W3017692920 @default.
- W3147218318 cites W3018330169 @default.
- W3147218318 cites W3024673603 @default.
- W3147218318 cites W3034608444 @default.
- W3147218318 cites W3035525428 @default.
- W3147218318 cites W3036739118 @default.
- W3147218318 cites W3036920036 @default.
- W3147218318 cites W3037613453 @default.
- W3147218318 cites W3040827294 @default.
- W3147218318 cites W3048314997 @default.
- W3147218318 cites W3048498751 @default.
- W3147218318 cites W3083784747 @default.
- W3147218318 cites W3085057540 @default.
- W3147218318 cites W3088050558 @default.
- W3147218318 cites W3092562124 @default.
- W3147218318 cites W3103334014 @default.
- W3147218318 cites W3111725607 @default.
- W3147218318 cites W3116955252 @default.
- W3147218318 cites W3122411511 @default.
- W3147218318 cites W3123697077 @default.
- W3147218318 cites W3125274735 @default.
- W3147218318 cites W3127097514 @default.
- W3147218318 cites W3137501867 @default.
- W3147218318 cites W3153424388 @default.
- W3147218318 cites W3156169082 @default.
- W3147218318 cites W3161190502 @default.
- W3147218318 cites W3183451148 @default.
- W3147218318 doi "https://doi.org/10.1016/j.techfore.2021.121409" @default.
- W3147218318 hasPublicationYear "2022" @default.