Data and code for: Agricultural Innovation Capacity, Creative Destruction and Food Security under Climate Shocks: Evidence from 93 Developing Countries

Description

Country-year panel (135 developing countries, 1981–2023) used to estimate how agricultural innovation capacity moderates the effects of growing-season heat and extreme-rainfall shocks on agricultural output, TFP, inputs and food supply. The main estimation sample covers 2,976 observations from 93 countries (variable in_main_sample). Includes a codebook, a country list, and Python code that rebuilds the dataset from public sources (GRAPE, USDA ERS, FAOSTAT, World Bank WDI and CCKP/ERA5, Sacks et al. crop calendar) and reproduces all tables and figures.

Steps to reproduce

Install Python 3.10+ and the packages in requirements.txt, then run bash run_all.sh in the code folder. Table 4, column 3 can also be reproduced directly from the Excel file, following the instructions in its README sheet.

Institutions

• Nanjing Agricultural University

  Jiangsu, Nanjing
• Pabna University of Science and Technology

  Rajshahi Division, Pābna

Categories

Licence