Arbeitspapier

Identifying synergies and complementarities between MDGs: Results from cluster analysis

The MDGs are interlinked: acceleration in one goal is likely to speed up progress in others. Nevertheless, these synergies are not always visible, and may differ across countries. Using bivariate cluster analysis, this paper investigates whether distinct groups of developing countries can be identified, using statistical methods, on the basis of the correlation of changes in main MDG indicators over the 1990-2008 period. Potential groups include: [1] 'good performers', characterized by strong positive synergies in MDGs indicators; [2] 'poor performers', where there are synergies in poor progress towards the MDGs and [3] 'partial performers' countries where progress in one MDG went along with regress or stagnation in another. We then study the determinants of cluster membership. While growth in GDP per capita is, unsurprisingly, best able to distinguish between 'good' and 'poor' performers, a poor institutional framework and deteriorations in the income distribution is a notable correlate of partial progress, thus apparently undermining synergies in reaching the MDGs. In light of the current discussions about the post-MDG system, our results suggest that synergies between MDG progress can be achieved but they cannot be taken for granted. Improving institutional performance and reducing inequality appear particularly important drivers of promoting such synergies.

Language
Englisch

Bibliographic citation
Series: Discussion Papers ; No. 126

Classification
Wirtschaft
Economic Development: Human Resources; Human Development; Income Distribution; Migration
Multiple or Simultaneous Equation Models: Classification Methods; Cluster Analysis; Principal Components; Factor Models
Subject
Millennium Development Goals
Human Development
Cluster Analysis

Event
Geistige Schöpfung
(who)
Bue, Maria Carmela Lo
Klasen, Stephan
Event
Veröffentlichung
(who)
Georg-August-Universität Göttingen, Courant Research Centre - Poverty, Equity and Growth (CRC-PEG)
(where)
Göttingen
(when)
2012

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Bue, Maria Carmela Lo
  • Klasen, Stephan
  • Georg-August-Universität Göttingen, Courant Research Centre - Poverty, Equity and Growth (CRC-PEG)

Time of origin

  • 2012

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