Stage Segmentation of Rural Transformation and Comparisons Among Bangladesh, China, Indonesia, and Pakistan: Combining Machine Learning and New Structural Economics to Facilitate International Agricultural Development and Policy Design

• DOI: 10.1002/app5.70016
• Publication Date: 2025-03-12T05:20:19Z
• Authors: Dong Wang; Chunlai Chen; Christopher Findlay; Jikun Huang; Justin Yifu Lin; ; Mohammad Jahangir...; Abid Hussain; Nunung Nuryartono; Tahlim Sudaryanto; David Shearer
• Keywords: Agricultural Development; International development

ABSTRACT This paper contributes a new paradigm for international agricultural development research. It uses machine learning techniques to aid expert diagnosis of problems in conjunction with New Structural Economics (NSE) analyse and design policies enable effective rural transformation. conducts multi‐country, multi‐regional, multi‐level multi‐dimensional analysis Bangladesh, China, Indonesia, Pakistan identify stage segmentations transformation examine stagewise associate applicable learnings across each dimension. By presenting structured stages transformation, we provide guidance on designing dynamic comparative‐advantage‐adapting that are able adapt at stage. analytical procedure can serve other relevant studies.