Volatility Dynamics of Climate Extremes and Agricultural Production: Empirical Insights from Cameroon

The Dataset_GARCH-Model.xlsx comprises annual time-series data spanning 1990–2023 (34 observations) for Cameroon's agricultural sector in a single "Sheet1," featuring 14 columns: Year plus 13 variables across production outcomes (Net Agric Prod Indices, Gross Agricultural Production % GDP, Crop/Livestock production indices normalized to 2014-2016=100), climatic parameters (Temperature °C, Precipitation mm, GHG emissions Mt CO₂e excl. LULUCF, Floods via sea level rise mm, Droughts as max consecutive dry days), and factor inputs (Agricultural land % total, Employment % total ILO est., Pesticide/Fertilizer use tons). Sourced from FAOSTAT, World Bank WDI, NIS, EDGAR/IEA, and OFDA/CRED, it supports GARCH(1,1) volatility modeling of climate extremes' impacts on rain-fed agroecosystems, capturing trends like intensifying droughts post-2010 and livestock sensitivity.