Autor: Sutthichaimethee, P.

Skocz do pozycji: 1.

Tytuł:: Modeling Environmental Impact of Machinery Sectors to Promote Sustainable Development of Thailand
Autorzy:: Sutthichaimethee, P.
Tematy:: machinery sectors
total environment cost
carrying capacity
forward linkage
real benefit
backward linkage; Pokaż więcej
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Powiązania:: https://bibliotekanauki.pl/articles/123466.pdf Link otwiera się w nowym oknie
Opis:: The objective of this research is to propose an indicator to evaluate environmental impacts from the machinery sectors of Thailand, leading to more sustainable consumption and production in this sector of the economy. The factors used to calculate the forward linkage, backward linkage and real benefit included the total environmental costs. The highest total environmental cost was railway equipment need to be resolved immediately because it uses natural resources in carrying capacity, higher than standard environmental cost, and contribute to low real benefit. Electric accumulator & battery, secondary special industrial machinery, motorcycle, bicycle & other carriages, and engines and turbines need to monitor closely because they are able to link to other production sectors more than other production sector do and they have high environmental cost. In order to decide the sustainable development strategy of the country, there is a need to use this research to support decision-making.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Forecasting Economic, Social and Environmental Growth in the Sanitary and Service Sector Based on Thailand’s Sustainable Development Policy
Autorzy:: Sutthichaimethee, P.
Tematy:: sustainable development
population growth
GDP growth
income per capita
greenhouse gas; Pokaż więcej
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Powiązania:: https://bibliotekanauki.pl/articles/125346.pdf Link otwiera się w nowym oknie
Opis:: The purpose of this study is to forecast the long run implementation of Thailand’s sustainable development policy in three main aspects, including economic, social and environmental aspect for the the sanitary and service sectors from 2016 until 2045. According to the national data for the years 2000-2015, based on the ARIMAX model, it has been found that Thai economy system is potentially changed and growing rapidly by 25.76%, the population has grown by 7.15%, and the Greenhouse gas emissions will gradually increase by 49.65%, in the year 2045. However, based on the analysis above, if Thailand fails to run the afore-mentioned policy properly, it will be difficult to successfully implement sustainable development, because the increased emission is moving in the same direction with economy and social aspect of Thailand.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Varimax Model to Forecast the Emission of Carbon Dioxide from Energy Consumption in Rubber and Petroleum Industries Sectors in Thailand
Autorzy:: Sutthichaimethee, P.
Tematy:: Rubber, Chemical and Petroleum Industries sectors
population
forecasting model
energy consumption
CO2 emission
GDP growth; Pokaż więcej
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Powiązania:: https://bibliotekanauki.pl/articles/125458.pdf Link otwiera się w nowym oknie
Opis:: This study aims to analyze the forecasting of CO₂ emission from the energy consumption in the Rubber, Chemical and Petroleum Industries sectors in Thailand. The scope of research employed the input-output table of Thailand from the year 2000 to 2015. It was used to create the model of CO₂ emission, population, GDP growth and predict ten years and thirty years in advance. The model used was the VARIMAX Model which was divided into two models. The results show that from the first model by using which predicted the duration of ten years (2016–2025) by using VARIMAX Model (2,1,2), On average, Thailand has 17.65% higher quantity of CO₂ emission than the energy consumption sector (in 2025). The second model predicted the duration of 30 years (2016–2045) by using VARIMAX Model (2,1,3) shows that Thailand has average 39.68% higher quantity of CO₂ emission than the energy consumption sector (in 2025). From the analyses, it shows that Thailand has continuously higher quantity of CO₂ emission from the energy consumption. This negatively affects the environmental system and economical system of the country incessantly. This effect can lead to unsustainable development.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: The Revised Input-Output Table to Determine Total Energy Content and Total Greenhouse Gas Emission Factors in Thailand
Autorzy:: Sutthichaimethee, P.
Ariyasajjakorn, D.
Tematy:: input-output analysis
full energy chain analysis
FENCH
life cycle analysis
process chain analysis
greenhouse gas emission factor
energy consumption; Pokaż więcej
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Powiązania:: https://bibliotekanauki.pl/articles/125299.pdf Link otwiera się w nowym oknie
Opis:: A full energy chain analysis (FENCH) or a life cycle analysis (LCA) is indeed essential in making any decision on both minimal greenhouse gas (GHG) emissions and the energy content in various commodities. In this article, the energy Input-Output Analysis (IOA) approach is investigated to determine the factors for the total greenhouse gas emission and total energy content, and it deems the elimination of the boundary constraints existing in the Process Chain Analysis (PCA) approach to be practical to. This study, aims to identify the factors in embedded energy and embedded greenhouse gas (GHG) total values derived from the total Thai economic sectors of 180 in various commodities productions. The previous outdated IOA is enhanced in the study by revising the elements of sectoral energy consumption in the power sector, which is later found to be influential and significant to all other economic sectors. In addition, the 2005 sectoral energy consumption is used to show individual energy consumption, whereas the 2010 Input-Output (I-O) table, most timely data, is used to show the economic structure. Furthermore, the study uses a report of Thai electric power to revise the data of 2005 fuel mix in the power sector in order to obtain the 2010 and 2015 fuel mix. The reason of such revision is that the changes of fuel mix in the power sector are influential towards the factors in both total energy content and total greenhouse (GHG) emission. Hence, the 2015 electricity-fuel mix is taken to present the above-mentioned factors.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Carrying Capacity Model of Food Manufacturing Sectors for Sustainable Development From Using Environmental and Natural Resources of Thailand
Autorzy:: Sutthichaimethee, P.
Tanoamchard, W.
Tematy:: food manufacturing
environment cost
indicator
carrying capacity
revenue
sanitary and similar services
modeling; Pokaż więcej
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Powiązania:: https://bibliotekanauki.pl/articles/123855.pdf Link otwiera się w nowym oknie
Opis:: 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.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Indicator of Environmental Problems of Agricultural Sectors Under the Environmental Modeling
Autorzy:: Sutthichaimethee, P.
Sawangdee, Y.
Tematy:: agricultural sector
revenue
environment cost
forward linkage
multiplier
modeling
sustainable; Pokaż więcej
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Powiązania:: https://bibliotekanauki.pl/articles/123997.pdf Link otwiera się w nowym oknie
Opis:: 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.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Forecasting Energy Consumption in Short-Term and Long-Term Period by Using Arimax Model in the Construction and Materials Sector in Thailand
Autorzy:: Sutthichaimethee, P.
Ariyasajjakorn, D.
Tematy:: construction materials
construction sector
population growth
energy consumption
GDP per capita; Pokaż więcej
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Powiązania:: https://bibliotekanauki.pl/articles/125156.pdf Link otwiera się w nowym oknie
Opis:: This study aims to analyze the forecasting of energy consumption in the Construction and Materials sectors. The scope of the study covers the forecasting periods of energy consumption for the next 10 years, 2017–2026, 20 years, 2017–2036, and 30 years, 2017–2046, by using ARIMAX Model. The prediction results show that these models are effective in the forecast measured by RMSE, MAE, and MAPE. The results show that from the first model (2,1,1), which predicted the duration of 10 years, 2017–2026, indicates that Thailand has increased an energy consumption rate with the average of 18.09%, while the second model (2,1,2) with the prediction of 20 years, 2017–2036, Thailand arises its energy consumption up to 37.32%. In addition, the third model (2,1,3) predicted the duration of 30 years from 2017 to 2046, and it has found that Thailand increases its energy consumption up to 49.72%.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Forecasting Model of GHG Emission in Manufacturing Sectors of Thailand
Autorzy:: Sutthichaimethee, P.
Ariyasajjakorn, D.
Tematy:: manufacturing sectors
environment cost
energy consumption
GHG emission
multiplier; Pokaż więcej
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Powiązania:: https://bibliotekanauki.pl/articles/125220.pdf Link otwiera się w nowym oknie
Opis:: 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.
Dostawca treści:: Biblioteka Nauki

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