Economic impacts of mobile versus fixed broadband

Thompson, Herbert G.; Garbacz, Christopher

doi:10.1016/j.telpol.2011.07.004

Cited by 128 publications

(65 citation statements)

References 16 publications

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“…Several studies have already provided evidence that mobile internet has a positive impact on economic growth. For instance, Thompson and Garbacz (2011) found a positive effect of mobile internet on gross domestic product. Similarly, Bertschek and Niebel (2016) showed a positive relationship between mobile internet use and the labor productivity of firms.…”

Section: Introductionmentioning

confidence: 99%

“Anytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in german agriculture

et al. 2020

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Mobile internet is considered one of the most important developments in information and communication technology due to its considerable effect on both the economy and our daily lives. Furthermore, mobile internet is an essential tool for overcoming the rural–urban digital divide. With respect to agriculture, mobile internet can play a central role in information gathering as well as the implementation of precision and smart farming technologies. Yet, no study has identified the determinants of mobile internet adoption in agriculture. Using a bivariate probit model with a sample selection and a representative data set from 815 German farmers, this study showed that, among other characteristics, the age of the farmer, farm size and location, as well as familiarity with internet risks is associated with mobile internet adoption in agriculture. These results may be of interest to policy makers, who deal with internet infrastructure, and providers of farm equipment that rely on mobile internet connection. [EconLit citations: Q16].

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Section: Introductionmentioning

confidence: 99%

“Anytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in german agriculture

et al. 2020

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“…3. Bandwidth fleksibel mendukung untuk : 20 MHz,15 MHz,10 MHz,5 Mhz dan 1,4 MHz. Sehingga operator jaringan dapat memilih bandwidth yang berbeda dan memberikan layanan yang berbeda berdasarkan spektrum.…”

Section: Issn 2085-4811unclassified

Analisis Tekno Ekonomi Kelayakan Migrasi Jaringan 2G/3G ke 4G LTE Pada Frekuensi 900 MHz dan 1800 MHz di DKI Jakarta

Utama¹

2017

InComTech

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AbstrakTantangan penyediaan jaringan komunikasi nirkabel yang handal dengan kapasitas sistem yang tinggi tidak terlepas dari biaya investasi yang tinggi. Pemanfaatan resource spectrum secara efisien yang semaksimal mungkin merupakan salah satu solusi untuk mengatasi biaya investasi yang tinggi. Penelitian ini mem-fokuskan pada analisis tekno ekonomi implementasi secara co-existance antara jaringan 2G/3G existing dan 4G LTE sesuai dengan tingkat prosentase pertumbuhan pelanggan nirkabel layanan data (2015-2019) dengan membandingkan mana yang lebih ekonomis apakah menggunakan resource spektrum frekuensi di 900MHz atau 1800MHz. Pada penelitian ini model analisa yang digunakan berdasarkan prinsip tekno-ekonomi dengan metoda capacity estimation dan coverage planning untuk menentukan perancangan teknologi 4G LTE dan metoda DCF untuk menganalisa secara ekonomi dalam mengukur kelayakan biaya yang dikeluarkan untuk implementasi 4G LTE tersebut dengan memanfaatkan resource spectrum frekuensi secara efisien pada operator selluler Indosat Ooredoo. Hasil dari penelitian menunjukan bahwa implementasi migrasi jaringan 2G/3G ke 4G LTE pada frekuensi 1800MHz menggunakan bandwidth 10 MHz dari perhitungan ekonomi menghasilkan hasil yang lebih efisien dan layak untuk di implementasikan. Diperoleh diperoleh nilai NPV positif sebesar Rp107.749.194.676 dan IRR sebesar 31.07%, dengan nilai Pay Back Period 3 Tahun 6 Bulan. Dibandingkan dengan penggelaran 4G LTE pada frekuensi 900MHz dengan bandwidth 5MHz diperoleh nilai NPV positif sebesar Rp 61.075.272.890, namun IRR hanya sebesar 1,71% (dibawah suku bunga perbankan), dengan nilai Pay Back Period 4 Tahun 1 Bulan.Kata Kunci: LTE, tekno-ekonomi, coverage planning, capacity estimation, DCF, 900MHz, 1800MHz, co-exixtance 2G/3G/4G. AbstractThe challenge of providing a reliable wireless communication network with high system capacity is inseparable from high investment cost. Utilization of resource spectrum efficiently as much as possible is one solution to overcome high investment costs. This study focuses on co-

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“…that are not neatly tied to the Census administrative hierarchy, more simplistic aggregation approaches that are available in statistical analysis packages like SAS and SPSS may not be viable. So, if one is interesting in modeling the economic impacts of wireless broadband (Thompson & Garbacz, 2011), particularly at a local level, both provision data and information on the demographic/socio-economic/business composition of an administrative unit are required. Further, an efficient and reliable methodology for rearticulating the raw wireless provision data must be developed.…”

Section: Wireless Provision Data and The National Broadband Mapmentioning

confidence: 99%

The wireless abyss: Deconstructing the U.S. National Broadband Map

Grubesic

2012

Government Information Quarterly

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Economic impacts of mobile versus fixed broadband

Cited by 128 publications

References 16 publications

“Anytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in german agriculture

“Anytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in german agriculture

Analisis Tekno Ekonomi Kelayakan Migrasi Jaringan 2G/3G ke 4G LTE Pada Frekuensi 900 MHz dan 1800 MHz di DKI Jakarta

The wireless abyss: Deconstructing the U.S. National Broadband Map

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