THE STATISTICAL APPROACH TO UNDERSTANDING THE INTERDEPENDENCIES AMONG SUSTAINABLE DEVELOPMENT GOALS

Abstract

This paper comprehensively analyses the interdependencies among the

Sustainable Development Goals (SDGs) through Canonical Correlation

Analysis (CCA). By categorizing SDGs into Social Development Goals,

Environmental Sustainability Goals, and Economic Development and

Sustainable Growth Goals, the study illuminates the complex dynamics

and mutual influences within these categories. The empirical findings

from CCA reveal significant, statistically robust correlations that high-

light synergistic and antagonistic interactions among the SDGs, which

are critical for effective policy-making and strategic planning. The

research underscores the importance of a holistic approach to under-

standing the SDG framework, advocating for integrated policy frame-

works that account for the intricate interconnections between different

goal sets. For instance, SDG7 (Affordable and Clean Energy) progress

supports environmental objectives and enhances economic and social

inclusion outcomes. The analysis thus provides crucial insights into how

advancements in specific goals can facilitate or hinder progress in oth-

ers, emphasizing the necessity for a balanced and informed approach

to SDG implementation. The findings contribute to the academic and

practical understanding of SDGs, offering strategic insights for coherent

and effective policy-making that can optimize the collective pursuit of

all goals. This paper serves as a valuable resource for policymakers,

practitioners, and researchers involved in planning and implementing

sustainable development initiatives, ensuring that efforts are compre-

hensive and aligned with the systemic interactions of the SDGs.