@article{Oyetade:341521,
      recid = {341521},
      author = {Oyetade, Oluwatoyese Oluwapemi and Adeyeye, Oluwaseun },
      title = {Higher Derivative Block Method Forecast Analysis of  Agricultural Components and Their Impact on Economic Growth  },
      journal = {International Journal of Food and Agricultural Economics  (IJFAEC)},
      address = {2024-01-30},
      number = {1128-2024-1787},
      month = {Jan},
      year = {2024},
      abstract = {This article assesses specific components of the  agricultural sector as it impacts the growth of a  developing nation’s economy. A mathematical model is  developed with the aid of logistic growth model for the  variables and the resulting model is solved numerically  using a higher derivative block method to forecast the data  for the agricultural components for years 2020- 2025, thus  utilizing data ranging from 1981-2025. Econometric analysis  was carried out using ARDL bound test method and the  findings indicate the existence of short and long run  relationship between food production, livestock, and  economic growth. In addition, the Pairwise Granger  causality showed the causality movement and ascertain the  positive link among the variables. Therefore, this research  suggests the need to encourage food production and  livestock as components of agriculture through precise  economic policies and funding for progress in the country’s  economic outlook.},
      url = {http://ageconsearch.umn.edu/record/341521},
      doi = {https://doi.org/10.22004/ag.econ.341521},
}