Low Carbon Trade Efficiency and Trade Potential of Thailand and its Land Neighbors Based on Spatial Weight Gravity SLM Model
DOI:
https://doi.org/10.63671/ijsssr.v2i4.340Keywords:
Low-carbon trade, Spatial Lag Model, Trade efficiency, Trade potential, Spatial weight matrixAbstract
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.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Science and Social Science Research

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Similar Articles
- Geetainder Handa, Factors which made Chinese Economy more developed than Indian Economy , International Journal of Science and Social Science Research: Vol. 3 No. 1: April-June 2025
- Mr. Aniket Sarkar, The Environmental and Ecological Impact of AI Data Centres in India: Caste, Dispossession, and Environmental Justice , International Journal of Science and Social Science Research: Vol. 4 No. 2: July-September 2026
- Shivani Goel, Mridul Kumar Gupta, A Secure and Efficient Attribute-Based Signature Scheme with Proxy Delegation , International Journal of Science and Social Science Research: Vol. 1 No. 2: July-September 2023
- Rachana Nigam, Enhancing Online Marketing Strategy with Digital Advertising , International Journal of Science and Social Science Research: Vol. 2 No. 3: October-December 2024
- Shailesh Kumar Pathak, Human Resources Accounting and Public Sector Scenario , International Journal of Science and Social Science Research: Vol. 3 No. 1: April-June 2025
- Yssoufa Thabiti, Fatima Zahra Moussaid, Irchad Ahmed, Oil Price Fluctuations and Food Inflation in the Comoros: A Nonlinear ARDL Approach , International Journal of Science and Social Science Research: Vol. 3 No. 4: January-March 2026
- May Zun Oo, Chukiat Chaiboonsri, Kanchana Chokethaworn, The Impact of Political Transition on Myanmar’s Border Trade with Thailand, China, and India after 2021 Myanmar Military Coup: A Panel Analysis , International Journal of Science and Social Science Research: Vol. 3 No. 1: April-June 2025
- Kiran Subba, Trans-Himalauyan Trade and Emergence of Darjeeling as A Hill Station , International Journal of Science and Social Science Research: Vol. 2 No. 2: July-September 2024
- Sandeep Arya, Ravi Agarwal, India’s Trade with ASEAN under Act East Policy: Trends, Prospects and Challenges , International Journal of Science and Social Science Research: Vol. 2 No. 2: July-September 2024
- Minglang Wu, Htwe Ko, Chukiat Chaiboonsri, Forecasting China’s Air Cargo Volume by ARIMA vs Holt-Winters , International Journal of Science and Social Science Research: Vol. 2 No. 3: October-December 2024
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Jianming Xie, Charuk Singhapreecha, Impact of China's real estate industry on the fixed investment growth of the furniture industry based on VEC Structural Breakpoint Model , International Journal of Science and Social Science Research: Vol. 2 No. 3: October-December 2024
