The dynamics of some climate variables on solid waste in Nigeria using Vector Error Correction Model

This study investigated the long- run and short-run relationships between solid waste generation in Nigeria and two key climate variables: rainfall and temperature. Employing a Vector Error Correction Model (VECM) analysis on data from 1982 to 2022, then revealed counterintuitive findings. In the long run, lagged rainfall exhibits a negative association with solid waste (p < 0.05), potentially explained by increased waste decomposition in wetter conditions. Conversely, lagged temperature showed a positive association (p < 0.05), aligning with theories of increased consumption and economic activity in warmer periods. The short-run analysis unveils a self-correcting mechanism in solid waste generation and a statistically significant negative impact of lagged temperature (p < 0.05), requiring further investigation. Based on these findings, the study proposed policy implications for waste management strategies and data collection, emphasizing the need for sustainable solutions in the context of climate change.

• Publication year

  2024

• Venue

  The Scientific World Journal

• Publication date

  2024-05-02

• Fields of study

  Not labeled

• Identifiers
  DOI 10.4314/swj.v19i1.11
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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