Price transmission mechanism for natural gas in Thailand
© 2018, Springer International Publishing AG. This study aimed to analyze natural gas price transmission in Thailand using the MS-VAR model. We focused on the data set related to Thai natural gas prices in two main groups. The first group is the price of natural gas procurement source, including pri...
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th-cmuir.6653943832-438892018-01-24T04:14:46Z Price transmission mechanism for natural gas in Thailand Natnicha Nimmonrat Pathairat Pastpipatkul Woraphon Yamaka Paravee Maneejuk © 2018, Springer International Publishing AG. This study aimed to analyze natural gas price transmission in Thailand using the MS-VAR model. We focused on the data set related to Thai natural gas prices in two main groups. The first group is the price of natural gas procurement source, including price of gulf gas, natural gas price of Myanmar and price of liquefied natural gas. Second group is the prices of natural gas used for electric power generation, separation plants, and production of compressed natural gas, which are considered as natural gas consumption. The data is collected from M1/2011 to M12/2016. By using the Bayesian approach, we estimated the model with two regimes; namely high price regime and low price regime. We found that the shocks e.g., energy crisis, the shortage of natural gas sources from the gulf gas of Thailand or Myanmar stopping selling natural gas to Thailand may have a direct substantial effect on the natural gas market. Therefore, the shocks of each natural gas sources price will have implications on other natural gas sources price and thereby leading are higher consumption costs. 2018-01-24T04:14:46Z 2018-01-24T04:14:46Z 2018-01-01 Book Series 1860949X 2-s2.0-85038825983 10.1007/978-3-319-73150-6_54 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85038825983&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43889 |
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© 2018, Springer International Publishing AG. This study aimed to analyze natural gas price transmission in Thailand using the MS-VAR model. We focused on the data set related to Thai natural gas prices in two main groups. The first group is the price of natural gas procurement source, including price of gulf gas, natural gas price of Myanmar and price of liquefied natural gas. Second group is the prices of natural gas used for electric power generation, separation plants, and production of compressed natural gas, which are considered as natural gas consumption. The data is collected from M1/2011 to M12/2016. By using the Bayesian approach, we estimated the model with two regimes; namely high price regime and low price regime. We found that the shocks e.g., energy crisis, the shortage of natural gas sources from the gulf gas of Thailand or Myanmar stopping selling natural gas to Thailand may have a direct substantial effect on the natural gas market. Therefore, the shocks of each natural gas sources price will have implications on other natural gas sources price and thereby leading are higher consumption costs. |
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Book Series |
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Natnicha Nimmonrat Pathairat Pastpipatkul Woraphon Yamaka Paravee Maneejuk |
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Natnicha Nimmonrat Pathairat Pastpipatkul Woraphon Yamaka Paravee Maneejuk Price transmission mechanism for natural gas in Thailand |
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Natnicha Nimmonrat Pathairat Pastpipatkul Woraphon Yamaka Paravee Maneejuk |
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Natnicha Nimmonrat |
title |
Price transmission mechanism for natural gas in Thailand |
title_short |
Price transmission mechanism for natural gas in Thailand |
title_full |
Price transmission mechanism for natural gas in Thailand |
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Price transmission mechanism for natural gas in Thailand |
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Price transmission mechanism for natural gas in Thailand |
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price transmission mechanism for natural gas in thailand |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85038825983&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43889 |
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