J Environ Manage. 2024 Dec 25;373:123850. doi: 10.1016/j.jenvman.2024.123850. Online ahead of print.
ABSTRACT
India’s progress vis-à-vis the United Nations’ Sustainable Development Goals (SDG) has stagnated since 2020. The consequences of the non-attainment of the SDGs can be severe. Therefore, questions arise as to what steps must be taken to accelerate progress in India’s SDG attainment. Increased household-level adaptive capacity may accelerate progress in SDG attainment. However, the scholarly literature is characterized by an inadequate understanding of the relationship between adaptive capacity and SDG attainment. Therefore, this study analyzes how household adaptive capacity affects the local attainment of SDGs in India by analyzing household data using advanced statistical techniques. The independent variable, household adaptive capacity, was measured using a locally contextualized composite index. A regression analysis of 38 models on the local attainment of 10 targets of 7 different SDGs (1, 2, 4, 5, 8, 12, and 16) suggests that higher household-level adaptive capacity may be associated with an increased potential for local SDG attainment in India. Caste identity was also statistically significant in several of the models, which suggests that caste dynamics may play an important role in local SDG attainment. This research is significant because a) India is ranked 109 among 167 countries regarding SDG attainment. Progress in most SDGs remains a matter of concern, and b) the SDGs do not specifically target caste-based discrimination.
PMID:39724676 | DOI:10.1016/j.jenvman.2024.123850