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

被引：1

作者：

Wang, Dong ^{[1
]}

Chen, Chunlai ^{[1
]}

Findlay, Christopher ^{[1
]}

Huang, Jikun ^{[2
]}

Lin, Justin Yifu ^{[3
,4
]}

Abedullah, Mohammad Jahangir

Alam, Mohammad Jahangir ^{[5
]}

Hussain, Abid ^{[6
]}

Nuryartono, Nunung ^{[7
]}

Sudaryanto, Tahlim ^{[8
]}

Shearer, David ^{[9
,10
]}

机构：

[1] Australian Natl Univ, Crawford Sch Publ Policy, Canberra, Australia

[2] Peking Univ, China Ctr Agr Policy CCAP, Sch Adv Agr Sci, Beijing, Peoples R China

[3] Peking Univ, Inst New Struct Econ, Beijing, Peoples R China

[4] Peking Univ, Natl Sch Dev, Beijing, Peoples R China

[5] Bangladesh Agr Univ, Dept Agribusiness & Mkt, Mymensingh, Bangladesh

[6] Pakistan Agr Res Council, Social Sci Res Inst SSRI, Natl Agr Res Ctr, Islamabad 45500, Pakistan

[7] IPB Univ, Fac Econ & Management, Java, Indonesia

[8] Natl Res & Innovat Agcy BRIN, Res Ctr Behav & Circular Econ, Jakarta, Indonesia

[9] Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, Australia

[10] Australian Ctr Int Agr Res ACIAR, Agribusiness Program, Canberra, Australia

来源：

ASIA & THE PACIFIC POLICY STUDIES | 2025年 / 12卷 / 02期

关键词：

Huang segmentation; machine learning; new structural economics; rural development; rural transformation; FOOD SECURITY; GROWTH; INCOME; REFORMS;

D O I：

10.1002/app5.70016

中图分类号：

K9 [地理];

学科分类号：

0705 ;

摘要：

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

引用

页数：17