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Internet diffusion: comparing mainland China, Hong Kong and Taiwan

Based on the S-curve modelling of Internet diffusion rates among three major Chinese-speaking regions (mainland China, Hong Kong and Taiwan), researchers can gain some comparative insights that are at very least beyond the usual China (automatically Chinese?) versus non-China (automatically the US?) epistemological habit. It is found that in one account Hong Kong was historically more advanced than Taiwan (+1 year) and mainland China (+10 years) in Internet diffusion, but mainland China is catching up fast, with the city Shenzhen (Chinese: 深圳), just across the border, reported in 2013 to have even higher Internet penetration rate than Hong Kong. Continue reading

Modelling and forecasting the diffusion of Internet in Taiwan

Using the same quick-and-dirty way of modelling the diffusion of Internet in China (mainland), I have come up with a formula that gives the Internet penetration rates of Taiwan for the years between 1990 and 2014. So far this formula will produce results with errors within slightly more than 6% (worse curvefitting than the mainland China). The curve-fitting errors seem to be higher in recent years of 2012 and 2013 because Taiwan had unexpected growing rates, which did not meet the S-curve diffusion expectation that the rates become increasingly slower after the middle inflection point. Continue reading

Modelling and forecasting the diffusion of Internet in Hong Kong

Using the same quick-and-dirty way of modelling the diffusion of Internet in China (mainland), I have come up with a formula that gives the Internet penetration rates of Hong Kong for the years between 1990 and 2014. So far this formula will produce results with errors within slightly more than 3% (better curvefitting than the mainland China). It should be noted that the city Shenzhen (Chinese: 深圳), just across the border, was reported in 2013 to have even higher Internet penetration rate than Hong Kong. I would appreciate if anyone can provide any forecasting numbers for Hong Kong so that I can check how well the numbers fit with the formula that I found here. Continue reading

Open data collaboration between South Korea, Taiwan and the US

Letters of Intent (LoI) and Memorandum of Understanding (MoU) were signed between South Korean, Taiwanese and the US open data bodies to share training, technology, and policy resources. On 24 October, the 2014 International Open Data forum was held in Taipei where US author of “Open Data Now” Mr. Joel Gurin, French Etalab open data expert Mrs. Laure Lucchesi, South Korean Open Data Center facilitator Mr. Dong Seok KANG, Mckinsey Greater China representative Chris Thomas, and Taiwan’s Open Data Alliance Dr. Peng Chi-Ming discussed the potentials of data as stimulus for economic and civic engagement activities. It can be seen as part of continuous and expanding efforts of Taiwan to work with global partners on the issue of open data since UK and Taiwan’s Data Alliance agreed to work on open data collaboration. I personally have more expectations on the upcoming g0v summit 2014 that are organized by hackers and activists. Continue reading

Modelling and forecasting the diffusion of Internet in China (mainland)

Using a quick-and-dirty way of modelling and forecasting the diffusion of Internet in China (mainland), I have come up with a formula that gives the Internet penetration rates of China (mainland only) for the years between 1990 and 2034. So far this formula will produce results with errors within 4%. It also suggests that one of the policy goal of “Broadband China Strategy” (“宽带中国”战略及实施方案) is very likely to be attainable: To reach 85% of 3G-LTE broadband mobile penetration by 2020.

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