Low Carbon Trade Efficiency and Trade Potential of Thailand and its Land Neighbors Based on Spatial Weight Gravity SLM Model

This study examines the low-carbon trade efficiency and trade potential among Thailand and its land neighbors—Myanmar, Laos, Cambodia, and Malaysia—using a Spatial Lag Model (SLM) and spatial weight matrix. The results indicate that Thailand serves as the regional trade hub with the highest low-carbon trade efficiency but limited growth potential. Myanmar exhibits significant trade potential due to its underdeveloped market, while Laos demonstrates strong spatial effects that could enhance trade growth. Malaysia shows weaker trade spillover effects, requiring policy-driven regional cooperation. Cambodia’s low-carbon trade efficiency remains low, necessitating industrial restructuring. Moran’s I analysis suggests weak spatial autocorrelation, indicating that low-carbon trade distribution is more influenced by economic policies than geographic proximity. To enhance regional low-carbon trade, nations should optimize infrastructure, strengthen policy coordination, and promote green supply chains.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-15
DOI
https://doi.org/10.5281/zenodo.15031798
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
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article

Low Carbon Trade Efficiency and Trade Potential of Thailand and its Land Neighbors Based on Spatial Weight Gravity SLM Model

Zenodo (CERN European Organization for Nuclear Research)
Energy, Environment, Economic Growth
article

Low Carbon Trade Efficiency and Trade Potential of Thailand and its Land Neighbors Based on Spatial Weight Gravity SLM Model

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Abstract

This study examines the low-carbon trade efficiency and trade potential among Thailand and its land neighbors—Myanmar, Laos, Cambodia, and Malaysia—using a Spatial Lag Model (SLM) and spatial weight matrix. The results indicate that Thailand serves as the regional trade hub with the highest low-carbon trade efficiency but limited growth potential. Myanmar exhibits significant trade potential due to its underdeveloped market, while Laos demonstrates strong spatial effects that could enhance trade growth. Malaysia shows weaker trade spillover effects, requiring policy-driven regional cooperation. Cambodia’s low-carbon trade efficiency remains low, necessitating industrial restructuring. Moran’s I analysis suggests weak spatial autocorrelation, indicating that low-carbon trade distribution is more influenced by economic policies than geographic proximity. To enhance regional low-carbon trade, nations should optimize infrastructure, strengthen policy coordination, and promote green supply chains.

Zenodo (CERN European Organization for Nuclear Research)
Chiang Mai University (TH)
Openalex Percentile: Top 51%
Energy, Environment, Economic Growth
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