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Forecasting Model of GHG Emission in Manufacturing Sectors of Thailand

Sutthichaimethee P., Ariyasajjakorn D.

Journal of Ecological Engineering

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2017

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Vol. 18, nr 1

18--24

EN

The aim of this study is to analyze the modeling and forecasting the GHG emission of energy consumption in manufacturing sectors. The scope of the study is to analyse energy consumption and forecasting GHG emission of energy consumption for the next 10 years (2016-2025) and 25 years (2016-2040) by using ARIMAX model from the Input-output table of Thailand. The result shows that iron and steel has the highest value of energy consumption and followed by cement, fluorite, air transport, road freight transport, hotels and places of loading, coal and lignite, petrochemical products, other manufacturing, road passenger transport, respectively. The prediction results show that these models are effective in forecasting by measured by using RMSE, MAE, and MAPE. The results forecast of each model is as follows: 1) Model 1 (2,1,1) shows that GHG emission will be increasing steadily and increasing at 25.17% by the year 2025 in comparison to 2016. 2) Model 2 (2,1,2) shows that GHG emission will be rising steadily and increasing at 41.51% by the year 2040 in comparison to 2016.

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Indicator of Environmental Problems of Agricultural Sectors Under the Environmental Modeling

Sutthichaimethee P., Sawangdee Y.

Journal of Ecological Engineering

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2016

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Vol. 17, nr 2

12--18

EN

The objective of this research is to propose an indicator to deal with environmental problems for agricultural sectors caused by goods and services production. The aspects to calculate the real benefit of agricultural sectors and environmental cost for analyzing are natural resources materials, energy and transportation, fertilizer and pesticides, and sanitary and similar service. From the research it was found that the highest environmental cost of natural resources materials was 026: charcoal and fire-wood, while the lowest was 010 coconut. The highest environmental cost for energy and transportation was 024: agricultural services, while the highest environmental cost for fertilizer and pesticides was 011: palm oil. lastly, 017: other agricultural products was found as the highest environmental cost for sanitary and similar service. As a result, 010: coconut gained the highest real benefit, while 024: agricultural services presented as the lowest read benefit for the company. If Thailand using environmental problem indicator, especially with the agricultural sector, it can help to formulate efficient policies and strategies for the country in 3 development areas, which are social, economic, and environmental development.

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Carrying Capacity Model of Food Manufacturing Sectors for Sustainable Development From Using Environmental and Natural Resources of Thailand

Sutthichaimethee P., Tanoamchard W.

Journal of Ecological Engineering

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2015

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Vol. 16, nr 5

1--8

EN

The objective of this research is to propose an indicator to assess and rank environmental problems caused by production within the food manufacturing sector of Thailand. The factors used to calculate the real benefit included the costs of natural resources, energy and transportation, fertilizer and pesticides, and sanitary and similar service. The highest environmental cost in terms of both natural resources materials and energy and transportation was ice, while the highest environmental cost for fertilizer and pesticides was coconut and palm oil. Confectionery had the highest environmental cost for sanitary and similar services. Overall, real estate gained the highest real benefit, while repair not classified elsewhere had the lowest real benefit for the company. If Thailand uses an indicator of environmental harm, especially within the food manufacturing sector, it could help to formulate efficient policies and strategies for the country in three areas of development, which are social, economic, and environmental development.