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
Dong Wang, Chunlai Chen, Christopher Findlay, Jikun Huang, Justin Yifu Lin, Abedullah, Mohammad Jahangir Alam, Abid Hussain, Nunung Nuryartono, Tahlim Sudaryanto, David Shearer
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引用次数: 0
Abstract
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.
期刊介绍:
Asia & the Pacific Policy Studies is the flagship journal of the Crawford School of Public Policy at The Australian National University. It is a peer-reviewed journal that targets research in policy studies in Australia, Asia and the Pacific, across a discipline focus that includes economics, political science, governance, development and the environment. Specific themes of recent interest include health and education, aid, migration, inequality, poverty reduction, energy, climate and the environment, food policy, public administration, the role of the private sector in public policy, trade, foreign policy, natural resource management and development policy. Papers on a range of topics that speak to various disciplines, the region and policy makers are encouraged. The goal of the journal is to break down barriers across disciplines, and generate policy impact. Submissions will be reviewed on the basis of content, policy relevance and readability.