Abstract:
Agricultural aid is crucial for sub-Saharan Africa to promote agricultural development as countries in this region usually lack sufficient investment to agricultural sect...View moreMetadata
Abstract:
Agricultural aid is crucial for sub-Saharan Africa to promote agricultural development as countries in this region usually lack sufficient investment to agricultural sectors and farmers. Yet, its effectiveness is still under debated. The conventional empirical literature mostly rely on data of agricultural production and GDP. However, collecting these data is time-consuming. As such, they tend to be outdated, poorly reflecting the effectiveness of agricultural aid timely. This study creatively employs remotely-sensed data to evaluate the effectiveness of agricultural aid in sub-Saharan Africa. We use Advanced Very High Resolution Radiometer (AVHRR) Global Inventory Modeling and Mapping Studies (GIMMS) third generation NDVI (NDVI3g) dataset from 2001 to 2012. The results demonstrate the advantages of remotely sensed data.
Date of Conference: 17-22 July 2022
Date Added to IEEE Xplore: 28 September 2022
ISBN Information: