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Abstract

The 2007 Global Monitoring Report on the Millennium Development Goals (MDGs) assesses the contributions of developing countries, developed countries, and international financial institutions toward meeting universally agreed development commitments. Fourth in a series of annual reports leading up to 2015, this year's report reviews key developments of the past year, emerging priorities, and provides a detailed region-by-region picture of performance in the developing regions of the world, drawing on indicators for poverty, education, gender equality, health, and other goals. Subtitled "Confronting the Challenges of Gender Equality and Fragile States", this year's report highlights two key thematic areas-gender equality and empowerment of women (the third MDG) and the special problems of fragile states, where extreme poverty is increasingly concentrated. The report, which is jointly issued by the World Bank and the International Monetary Fund, argues that gender equality and the empowerment of women are central to the development agenda. This is because gender equality makes good economic sense and because it helps advance the other development goals-including education, nutrition, and reducing child mortality. Rapid progress has been made in some areas, such as achieving educational parity for girls in primary and secondary school in most countries. But in many other dimensions-including political representation and participation in nonagricultural employment-performance still falls short. Better monitoring and efforts at mainstreaming gender equality requires realistic goals, strong leadership, technical expertise, and financing.

Statistical Appendix

CPIA: Country Policy and Institutional Assessment; ICS: Investment Climate Surveys; KK: Kaufmann and Kraay; OTRI: Overall Trade Restrictiveness Index; TI: Transparency International; TRI: Trade Restrictiveness Index.

TABLE A.1

Millennium Development Goals

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TABLE A.1

Millennium Development Goals (continued)

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TABLE A.1

Millennium Development Goals (continued)

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TABLE A.1

Millennium Development Goals (continued)

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Source: 2007 World Development Indicators database. Figures in italics refer to periods other than those specified.

Data are for the most recent year available.

‥ Not available
TABLE A.2

Measures of Governance Performance

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Sources: Various indicators as labeled for individual columns.

Though shown only for KK and TI, all indicators have margins of error

Transparency International’s Corruption Perceptions Index (CPI) score relates to perceptions of the degree of corruption as seen by businesspeople and country analysts and ranges between 10 (highly clean) and 0 (highly corrupt) (http://www.transparency.org/policy_research/surveys_indices/cpi/2006)

The CPIA 2005 data are grouped from strong (1) to weak (5)

KK Governance indicators lie between–2.5 amd 2.5, with higher scores corresponding to better ourcomes (www.worldbank.org/wbi/governance/data)

‥ Not available
TABLE A.3a

Trade Restrictiveness Index (TRI) and deadweight loss

(US$, millions)

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Source: World Bank staff estimates. Note: TRI is estimated using the most recent available tariff schedules (2005-2006). These data originates from the UNCTAD TRAINS and World Bank WITS databases. TRI is the uniform tariffs that would provide the same level of welfare in the importing country as the existing tariff structure. Deadweight loss (DWL) is measured by comparing the existing TRI to zero tariff. Deadweight loss is in million USD. For a detailed discussion of the methodology used to estimate the TRI see Kee, Nicita, and Olarreaga (2006).
TABLE A.3b

Overall Trade Restrictiveness Index (OTRI) and import loss

(US$, millions)

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Source: World Bank staff estimates. Note: OTRI is estimated using the most recent available tariff schedules (2005–2006) and nontariff measures (about 2001). These data originate from the UNCTAD TRAINS and World Bank WITS databases. The OTRI measures the restrictiveness of a country’s own trade policies. It is defined as the uniform tariff that would keep aggregate imports at their observed level. Import loss is calculated by comparing the existing OTRI to zero tariff. Import Loss is in million USD. For a detailed methodology on the estimation of the OTRI see Kee, Nicita, and Olarreaga (2006). The OTRI published here is not directly comparable with the OTRI published in previous Global Monitoring Reports, as the underlining data have been improved. There are 21 fewer countries due to consolidation in the European Union (8) and elimination of 13 countries estimated out of sample (basically without their own data).
TABLE A.3c

Market Access-Overall Trade Restrictiveness Index (MA-OTRI)

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Source: World Bank staff estimates. Note: MA-OTRI is estimated using the most recent available tariff schedules (2005–2006) and non tariff measures (about 2001). These data originate from the UNCTAD TRAINS and World Bank WITS databases. The MA-OTRI is calculated accounting for tariff preferences. The MA-OTRI measures the restrictiveness of other countries’ trade policies on the export bundle of each country. For a detailed methodology on the estimation of the MA-OTRI see Kee, Nicita, and Olarreaga (2006). The MA-OTRI published here is not directly comparable with the MA-OTRI published in previous Global Monitoring Reports, as the underlining data have been improved. There are 21 fewer countries due to consolidation in the European Union (8) and elimination of 13 countries estimated out of sample (basically without their own data). MA-OTRI Ag. was not estimated for Algeria, Brunei, Indonesia, Rep. of Korea, Saudia Arabia, and Singapore owing to their limited agricultural exports.
TABLE A.4a

Net Official Development Assistance (ODA) by DAC and non-DAC Countries

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Debt forgiveness grants are offset in order to avoid double-counting of Debt forgiveness of loans previously counted as ODA.

Other Bilateral ODA is Bilateral ODA-special purpose grants (technical cooperation, debt forgiveness, food and emergency aid) and administrative costs (not shown).

Saudi Arabia has not yet reported to the DAC. No breakdown by instrument is available. $1700 is an estimate from the DAC.

TABLE A.4b

Net Official Development Assistance (ODA) Receipts

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Source: OECD DAC Database Regional totals do not include ODA that is unspecufued by region. The total for developing countries includes ODA that is unallocated by country or income group. Income group totals reflect the classifications used in the World Development Indicators which are different than the classifications used elsewhere in this report.
TABLE A.5

Measures of Gender Performance

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Sources:

2006 World Development Indicators database.

2004 World Population Prospects.

Household surveys various year.

Data are for the most recent year available.

Figures in italics refer to periods other than those specified. ‥ Not available

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