Determinants of China's Technology Availability and Utilization 2006–2009: A Spatial Analysis

Pick, James B.; Nishida, Tetsushi; Zhang, Xi

doi:10.1080/01972243.2012.739266

Cited by 33 publications

(59 citation statements)

References 39 publications

(84 reference statements)

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“…While the Internet has helped increase the overall level of communication, the volume of Internet communications has increased much more quickly at the local level. Because of the spatial diffusion effect, the level of Internet access in one region is influenced by that of its adjacent regions [32,42]. Such an effect is most evident at the local level and in places where the distance is between 250 km and 500 km [43].…”

Section: Internet Spillover and Its Complexitymentioning

confidence: 99%

Internet Access, Spillover and Regional Development in China

et al. 2017

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As Internet access grows at different rates across regions, the Internet has had variable effects on regional economies through agglomeration and spillover effects. This paper uses province-level panel data from 2000 to 2013 to study inequality in Internet access, its spatial effect on regional economies in China and the channels through which the spillover effects are most evident. We find that the Internet has dispersed quickly from core cities, such as Beijing and Shanghai, to coastal provinces; and has had increasingly significant effects on neighboring regions. However, the Internet speed is still comparatively low outside the core cities. We then use endogenous growth models to quantify the effect of Internet access on regional economies. Our results show that, while Internet dispersion is positively associated with economic growth, the spillover effect varies significantly by region and is more pronounced in developed regions. So is the effect of the science and technology environment. Developed regions have benefited the most in the process. The three channels of spillover are listed here in order of relative significance: economy, proximity and urbanization. The spillover effect of the Internet may lead to the divergence of regional economies, working against the national goal of reducing regional inequality.

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Section: Internet Spillover and Its Complexitymentioning

confidence: 99%

Internet Access, Spillover and Regional Development in China

et al. 2017

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“…In Chap. 5, employment in non-state owned enterprises was found to be positively associated with internet use and use of PCs when high ICT use outlier provinces of Beijing and Shanghai were excluded (Pick et al 2013). As a result, we posit private sector employment to be associated with ICT utilization in Indian states.…”

Section: Conceptual Model Of Ict Utilization In Indian Statesmentioning

confidence: 85%

“…5 where the dominance of published books is attributed to a similar outlier status for Beijing and Shanghai (see also Pick et al 2013). In both cases, populous, educated, and relatively wealthy metropolitan areas are associated with production of knowledge content, albeit mostly in traditional hardcopy form.…”

Section: Registered Newspapers and Periodicalsmentioning

confidence: 95%

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India’s Digital Divide

Pick

Sarkar

2015

Progress in IS

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“…First, this paper induces a theoretical model of the socio-economic correlates of the digital divide at the state level for the United States. State level models of the digital divide exist for nations such as China [38], Japan [29], and India [37]; and county-level [2] and city-level [16,25] studies of socio-economic influences on technology levels and digital divide exist for the US. However a systematic nationwide study of the digital divide and its correlates at the state level does not exist for the US, the world's largest economy and information society.…”

Section: Introductionmentioning

confidence: 99%

Information Technology Availability and Use in the United States: A Multivariate and Geospatial Analysis by State

Pick

Sarkar

Johnson

2014

2014 47th Hawaii International Conference on System Sciences

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Exploratory empirical studies of the digital divide exist for various nations including the United States. The contribution of this paper is to enhance understanding of factors associated with availability and utilization of information and communication technologies (ICTs) at the state level in the US. In our conceptual model of technology utilization, eight dependent technology availability and utilization factors are posited to be associated with twelve independent socio-economic, demographic, innovation, and societal openness factors. Technology utilization variables are spatially analyzed to determine extent of agglomeration or randomness, and regression residuals are examined to eliminate spatial bias. We find that societal openness, urbanization, and ethnicities are significantly associated with higher ICT utilization. We report interesting findings for social media communication technologies of Facebook and Twitter. Implications for policymakers at both federal and state levels are discussed.

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Determinants of China's Technology Availability and Utilization 2006–2009: A Spatial Analysis

Cited by 33 publications

References 39 publications

Internet Access, Spillover and Regional Development in China

Internet Access, Spillover and Regional Development in China

India’s Digital Divide

Information Technology Availability and Use in the United States: A Multivariate and Geospatial Analysis by State

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