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Article

A Long-Term CO2 Emission Forecasting Under Sustainability Policy Using an Advanced Model Complementing the PAARIMAX Framework

by
Pruethsan Sutthichaimethee
1,
Worawat Sa-Ngiamvibool
1,2,
Prapita Thanarak
3,
Jianhui Luo
4 and
Supannika Wattana
1,2,*
1
Faculty of Engineering, Mahasarakham University, Mahasarakham 44150, Thailand
2
Electrical and Computer Engineering Research Unit, Mahasarakham University, Mahasarakham 44150, Thailand
3
School of Renewable Energy and Smart Grid Technology, Naresuan University, Phitsanulok 65000, Thailand
4
College of Electrical Engineering, Hunan Mechanical and Electrical Polytechnic, Changsha 410073, China
*
Author to whom correspondence should be addressed.
Agriculture 2024, 14(12), 2342; https://doi.org/10.3390/agriculture14122342
Submission received: 3 December 2024 / Revised: 17 December 2024 / Accepted: 19 December 2024 / Published: 20 December 2024

Abstract

The purpose of this research is to develop an advanced model to serve as a strategic tool for the Thailand government in managing the country and to propose ways for the government to exercise state power through proactive measures to address governance gaps and ensure long-term sustainability. This research employs a mixed-methods approach. The research methodology involved the following stages: (1) Quantitative research was conducted by creating the best model, which involved conducting path analysis based on an autoregressive integrated moving average with an exogenous variable model (PAARIMAX (1,1,1)). (2) The results of the quantitative research were optimized to facilitate additional qualitative research in order to identify appropriate ways of using state power for long-term sustainability in country management. The study’s findings suggest that the government will need to exercise its state power in the governance of the country through the development of a long-term national management plan (2024–2043). This plan involves the establishment of a new scenario policy wherein a minimum of 35% clean technology and green materials must be utilized within the economic sector. This is primarily due to their significant impact on environmental change. Furthermore, the government should exercise its state power to mandate an immediate reduction in energy consumption of 50%, achieved through the immediate adoption of renewable energy sources. This research utilized the results derived from the PAARIMAX model to conduct further qualitative analysis to fill the gaps, enhance the value of the quantitative research, and align it more effectively with the context of practical application. The study found that the proactive measures suggested by stakeholders must be implemented alongside the urgent establishment of new scenario policies, including for charges and taxes, subsidies and concession taxes, deposit refund systems, and property rights and market creation.
Keywords: new scenario policy; clean technology; sustainability policy; proactive measures; reactive measures new scenario policy; clean technology; sustainability policy; proactive measures; reactive measures

Share and Cite

MDPI and ACS Style

Sutthichaimethee, P.; Sa-Ngiamvibool, W.; Thanarak, P.; Luo, J.; Wattana, S. A Long-Term CO2 Emission Forecasting Under Sustainability Policy Using an Advanced Model Complementing the PAARIMAX Framework. Agriculture 2024, 14, 2342. https://doi.org/10.3390/agriculture14122342

AMA Style

Sutthichaimethee P, Sa-Ngiamvibool W, Thanarak P, Luo J, Wattana S. A Long-Term CO2 Emission Forecasting Under Sustainability Policy Using an Advanced Model Complementing the PAARIMAX Framework. Agriculture. 2024; 14(12):2342. https://doi.org/10.3390/agriculture14122342

Chicago/Turabian Style

Sutthichaimethee, Pruethsan, Worawat Sa-Ngiamvibool, Prapita Thanarak, Jianhui Luo, and Supannika Wattana. 2024. "A Long-Term CO2 Emission Forecasting Under Sustainability Policy Using an Advanced Model Complementing the PAARIMAX Framework" Agriculture 14, no. 12: 2342. https://doi.org/10.3390/agriculture14122342

APA Style

Sutthichaimethee, P., Sa-Ngiamvibool, W., Thanarak, P., Luo, J., & Wattana, S. (2024). A Long-Term CO2 Emission Forecasting Under Sustainability Policy Using an Advanced Model Complementing the PAARIMAX Framework. Agriculture, 14(12), 2342. https://doi.org/10.3390/agriculture14122342

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