FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1569508492> ?p ?o ?g. }

• W1569508492 abstract "This paper aims to measure the impact of broadband speed on the household income based on set of survey data conducted by Ericsson Consumer Lab in eight OECD and three BRIC countries in 2010 with the sample of study comprises a total of 20.000 respondents. The analysis is crucial as the broadband speed affects not only the end-users (increasing growth capacity, providing variety of services, and linking the users to other socio-economic variables, namely health and education) but also the supply-side, as the availability of speed also increases productivity and efficiency of firms. Moreover, the study is novel as most previous studies on broadband emphasize the penetration rate as the variable of interest.This study adopts the framework of the return to schooling models (as Mincer, 1974 and Card, 2001). In this discourse, variety of estimations has been employed to capture the difference of schooling quality, and gap between male–female. However, the impact is difficult to be measured as, for instance, people are different in their tacit ability (skills and motivation). This study introduces “additional skills and experiences” by presenting variables related to the access and use of ICT in addition to the standard return to schooling model where income is affected by education, skills (managerial competencies), and variety of socio-economic variables (e.g., age, gender, type of occupation, marital status, etc.). The access and use are believed to play important roles in increasing knowledge and skills as shown in many previous studies (James, 2011; van Deursen & van Dijk, 2011; Hargittai, 2010). In addition, the idea behind this approach is to eliminate the problem of endogeneity of speed variable and reverse causality that speeds subscribed by the users are in fact influenced by their income levels. To operationalize this approach, a treatment effect model is employed using the Propensity Score Matching (PSM). The basic idea behind the method is to estimate the counterfactual outcome of the income for people who have connected to the broadband would have achieved had they not connected to the device. Two aspects are investigated –the impact of the access to broadband on income and the impact of varying broadband speeds on income. On the access identification, the samples are one with the broadband access at a particular speed level against the other without the broadband access. On the speed upgrades, a comparison is conducted at various speed levels, e.g., users 2 Mbps, with users at 0.5 Mbps. On access to broadband, the results in OECD countries show that gaining access to 0.5 Mbps would not be expected to yield an increased income as the threshold is somewhere between 2 Mbps-4 Mbps. For BRIC countries, on the contrary, the impact is already visible at 0.5 Mbps. Around 800 USD additional annual household income is expected to be obtained by introducing 0.5 Mbps broadband connection which is equivalent to 70 USD per month per household. On speed upgrades, the speed level giving the highest benefit to income in BRIC and OECD are the same (4 to 8 Mbps), even though higher speed levels (8 to 24 Mbps) contributes more in OECD than in BRIC. Moving from 4-8 Mbps, the incremental income generated in OECD country is around 4% (with average income 37.000 USD) and around 1.5 % in BRIC countries (with the average income 10.000 and 12.000 USD for China and Brazil respectively). However, the BRIC countries can obtain higher impact by upgrading the speed only from 0.5 to 4 Mbps. At this scale, the countries will gain an additional household income of 2.2% for China and 4.7% for Brazil. Note that the survey was carried out in 2010 where the sample average speed level in OECD countries is only around 4-5 Mbps and 2 Mbps in BRIC countries." @default.
• W1569508492 created "2016-06-24" @default.
• W1569508492 creator A5013053951 @default.
• W1569508492 creator A5089901384 @default.
• W1569508492 date "2013-01-01" @default.
• W1569508492 modified "2023-10-06" @default.
• W1569508492 title "The Impact of Broadband Speed on the Household Income: Comparing OECD and Brics" @default.
• W1569508492 cites W1970949094 @default.
• W1569508492 cites W1987673517 @default.
• W1569508492 cites W1990567360 @default.
• W1569508492 cites W2022225014 @default.
• W1569508492 cites W2029405819 @default.
• W1569508492 cites W2039210340 @default.
• W1569508492 cites W2047440622 @default.
• W1569508492 cites W2053475323 @default.
• W1569508492 cites W2062570156 @default.
• W1569508492 cites W2121500580 @default.
• W1569508492 cites W2137670611 @default.
• W1569508492 cites W2139009770 @default.
• W1569508492 cites W2170527356 @default.
• W1569508492 cites W3121359605 @default.
• W1569508492 cites W3125864448 @default.
• W1569508492 cites W70747502 @default.
• W1569508492 doi "https://doi.org/10.2139/ssrn.2226899" @default.
• W1569508492 hasPublicationYear "2013" @default.
• W1569508492 type Work @default.
• W1569508492 sameAs 1569508492 @default.
• W1569508492 citedByCount "4" @default.
• W1569508492 countsByYear W15695084922016 @default.
• W1569508492 countsByYear W15695084922018 @default.
• W1569508492 countsByYear W15695084922023 @default.
• W1569508492 crossrefType "journal-article" @default.
• W1569508492 hasAuthorship W1569508492A5013053951 @default.
• W1569508492 hasAuthorship W1569508492A5089901384 @default.
• W1569508492 hasConcept C127413603 @default.
• W1569508492 hasConcept C162324750 @default.
• W1569508492 hasConcept C4249254 @default.
• W1569508492 hasConcept C509933004 @default.
• W1569508492 hasConcept C76155785 @default.
• W1569508492 hasConceptScore W1569508492C127413603 @default.
• W1569508492 hasConceptScore W1569508492C162324750 @default.
• W1569508492 hasConceptScore W1569508492C4249254 @default.
• W1569508492 hasConceptScore W1569508492C509933004 @default.
• W1569508492 hasConceptScore W1569508492C76155785 @default.
• W1569508492 hasLocation W15695084921 @default.
• W1569508492 hasOpenAccess W1569508492 @default.
• W1569508492 hasPrimaryLocation W15695084921 @default.
• W1569508492 hasRelatedWork W1762286045 @default.
• W1569508492 hasRelatedWork W1966828069 @default.
• W1569508492 hasRelatedWork W1982183865 @default.
• W1569508492 hasRelatedWork W2364181888 @default.
• W1569508492 hasRelatedWork W2383584427 @default.
• W1569508492 hasRelatedWork W2525430402 @default.
• W1569508492 hasRelatedWork W2899084033 @default.
• W1569508492 hasRelatedWork W3121960377 @default.
• W1569508492 hasRelatedWork W3124751261 @default.
• W1569508492 hasRelatedWork W4246629592 @default.
• W1569508492 isParatext "false" @default.
• W1569508492 isRetracted "false" @default.
• W1569508492 magId "1569508492" @default.
• W1569508492 workType "article" @default.