The Digital Opportunity Index as a tool for policy analysis

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The Digital Opportunity Index as a tool for policy analysis Michael Minges Telecommunications Management Group, Inc.


DOI Analytical Capabilities • Benchmarking • Extension • Policy matrix


Benchmarking possibilities Global Peer Regional Economic Country Dynamic Static

More detail

National Socio-economic


Global DOI Benchmark, 2005 Low

Medium

Upper

High

1.0

1.0

0.9

0.9

0.8

0.8

0.7

0.7

0.6

0.6

0.5

0.5

0.4

0.4

0.3

0.3

0.2

0.2

0.1

0.1

0.0

0.0 Opportunity

Infrastructure

Utilization

World Average


Colombia & the DOI Colombia, DOI 1.0 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 20 00 20 01 20 02 20 03 20 04 20 05

1.0 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0

Korea Chile Argentina Mexico Uruguay Brazil Costa Rica Venezuela Peru Panama Colombia El Salv. Ecuador Guatemala Bolivia Paraguay Honduras Nicaragua

DOI, 2004

Source: CRT, DANE & estimates (Colombia), ITU (other countries).


Hong Kong Static Analysis, 2005 Mobile pop. coverage (%) 100

Mobile broadband ratio Broadband Internet ratio

Internet, % income 50

Mobile, % income

0

Internet users per 100

Homes with PC (%) Mobile Internet per 100

Source: OFTA, Census & Statistics Dept.

Homes with fixed line (%)

Mobile per 100* Homes with Internet (%)

(* 123)


National DOI • Instead of peer comparison, DOI of administrative units within a country • Brazil example – Household ICT data from national statistical agency: Pesquisa Nacional por Amostra de Domicílios, 2004 – Mobile subscribers by administrative unit but for 2005 – 6 of 11 DOI indicators and no utilization indicators  – Weighting issues


Brazil: National DOI Adjusted DOI for available indicators

Note: Actual DOI (2004) = 0.43


Socio-economic comparison • Critical to understand details of digital divide • Who has and does not have access to ICT • Group by income, ethnicity, gender, location, age, etc. • Disaggregated survey data required • Some adjustments needed


Gender disaggregated DOI

• Czech Statistical Office, Results of ICT Usage Survey in Czech Households and among Individuals 2005, http://www.czso.cz/eng/edicniplan.nsf/p/9603-05 • Users by gender, age, education level, employment status, location • Out of 11 DOI indicators, 8 gender disaggregated available • Estimated earned income (PPP US$) from UNDP, for male & female http://hdr.undp.org/statistics/data/pdf/hdr05_table_25.pd • Methodology for Gender-related DOI: UNDP, “The gender-related development index”


Gender-related DOI, 2005 Male

Female

Czech Rep.

Opportunity

0.99

0.98

0.99

Infrastructure

0.37

0.35

0.35

Utilization

0.31

0.27

0.29

Adjusted DOI

0.56

0.53

0.54

Actual = 0.53

Opportunity

[0.48 * 0.99]-1

[0.52 * 0.98]-1

0.99

Infrastructure

[0.48 * 0.37]-1

[0.52 * 0.35]-1

0.35

Equally distributed index: [[Male population share * (Male index score)]-1 + [Female population share *(Female index score)]-1]-1

Utilization

[0.48 * 0.31]-1

[0.52 * 0.27]-1

0.29

Gender-related DOI (GDOI)

0.54

Note Average of available indicators in each category

Contrast with actual & adjusted


Extending DOI • DOI is an objective measurement of individual & household access to ICT • Useful to examine relationship between DOI and other factors • Policy impacts of a country’s situation


Modular Core indicators on access and use of ICTs by households and individuals

Non e-indices (e.g., UNDP Human Development Index)

DOI Infrastructure & access core indicators

Core indicators on access and use of ICTs by businesses

Future core indicators (e.g., education, government, health, etc.)


Extending DOI Impact of including TV households on DOI rank

Sweden Korea(Rep.) S.Africa

-3

USA Turkey

Turkey

Thailand

Hong Kong

UK

Switzerland

Brazil

-2

-1

0

1

2

Impact of including UNDP HDI Education Index on DOI rank

Egypt

3

-4

-3

-2

-1

0

1

2

3

4


DOI & regulation Regulatory Scorecard Results, 2003

Change in DOI rank, 2002-2004

200 12

250

300

350

400

10 8 6 4 2 0 -2 -4 -6

R2 = 0.6394 Source: Jones Day / ECTA, 2004 Regulatory Telecommunications Scorecard, http://www.jonesday.com/pubs/pubs_detail.aspx?pubID=S1187


Extending DOI DOI + Knowledge (e.g., UNDP Education sub index) + Regulatory (e.g., ECTA Regulatory Scorecard) + E-Business (e.g., EU e-business readiness composite indicator) E-Government (e.g., UN e-government index)

DOI

e-business

Education

Regulation

Denmark Ireland (+4) Italy (+1)

Sweden (-1) UK (+1)

Spain (-1) Belgium

Neth. Germany (-4)

Difference between DOI and average of 4 category ranks


Policy evaluation • Micro examination of DOI indices and indicators to design or evaluate policies


Policy matrix Opp. Infra.

Util.

DOI

Low

16

129

164

76

Medium

34

41

16

98

High

130

10

0

6

Utilization Infrastructure Opportunity

• Categorizing country situation • Generally moves from opportunity-> infrastructure ->utilization • Every country can improve somewhere • More detailed matrixes to analyze policy impacts


Digital opportunity: Mobile policy matrix Low coverage, good affordability

High coverage & affordability Note: Each dot represents a country.

Affordability

100

50

0 0

Low coverage & affordability

50

High coverage, low affordability

Coverage

100


Conclusions & recommendations • DOI has rich possibilities for policy analysis • Limited by availability of either disaggregated DOI data or complementary extension data • Policy makers and researchers need to lobby government to promote availability of disaggregated data by service providers and national statistical agencies • Future DOI policy analysis workshop standardizing and extending the analysis presented here


Thank you minges@d-two.info


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